Techlog Brochure

© 2008 Techsia. All rights reserved. Techlog is a registered trademark of Techsia - Texts and images are not contractual.

Techlog Interactive Suite©

2008

What’s the big idea? 1 >

Multi-well

Scale management

Easy to use

Full

inte

ract

ivity

Integration of data

Uncertainties management

Graphics and viewers Connectivity

Human support

Flexibility

What’s the big idea?

Bring all of your petrophysical and geological data

together within a single graphical environment.

Techlog Interactive Suite© 2008 is designed for the

petrophysical interpretation of wellbore data and

offers a complete processing and modelling toolbox.

You can display what you want, how you want and

perform high level analyses of core, log, image and

related data types together in one program.

Data integration...right here, right now.

Our bright ideas(we have many)

http://www.techsia.com/



2008

One big happy family. < 2 >

One big happy family.Introducing the Techlog Interactive Suite© 2008.

Application modules (in purple) are available to suit your specifi c needs and objectives. You can add application modules one at a time or you can add an entire focus area (see page 11) depending on your requirements.

The Techlog© platform (in orange) is the foundation for everything that you want to do with any of the modules. It comprises a package of tools for loading, manipulating and viewing the enormous range of data handled by Techlog.

Turn the pages to read the individual strengths and capabilities of each module.

Techlog Interactive Suite© 2008

Platform modules

Techdata Techplot 3D Vue PythonTM Techstat

Application modules

CoreDB Nuclear magnetic resonance

Techcore Saturation-height modelling

Quanti Quanti.min Thin bedanalysis

FPress Wellbore imaging Ipsom GeophyK.modFluid contact


© 2008 Techsia. All rights reserved. Techlog is a registered trademark of Techsia - Texts and images are not contractual. Welcome to our world < 3 >

Welcome to our world.

Our world encompasses 6 main focus areas (shown in the graphic to the right). Collectively, the subjects cover the gamut of reservoir characterisation.

Techlog Interactive Suite© 2008 is organised as a series of application modules, founded upon a robust platform comprising all the data management and viewing utilities.

The program enables you to bring together, within a simple data structure and single, powerful GUI, every type of data that falls within the “world of reservoir characterisation”.


2008


© 2008 Techsia. All rights reserved. Techlog is a registered trademark of Techsia - Texts and images are not contractual. Make the connection. < 4 >

Make the connection. Find your focus area on the next page (bottom), then see the module that’s right for you.

Our world encompasses 6 main focus areas (shown in the

graphic to the right). Collectively, the subjects cover the gamut

of reservoir characterisation.

Techlog Interactive Suite© 2008 is organised as a series

of application modules, founded upon a robust platform

comprising all the data management and viewing utilities.

The program enables you to bring together, within a simple data

structure and single, powerful GUI, every type of data that falls

within the “world of reservoir characterisation”.

Application modules

Techcore Quanti.minCoreDB Nuclear magnetic resonance

QuantiSaturation-height modelling

Thin bedanalysis

FPress IpsomWellbore imaging GeophyK.modFluid contact

Focus areas

*Coming soon


2008

Core

Core data storage/manipulation

Reservoir rock typing

Capillary pressure

Saturation-height modelling

Relative permeability

Upscaling/1D kriging

Log

Conventional interpretation

Mineralogical inversion

NMR

Thin bed analysis

Saturation-height modelling

Cased hole analysis

Resistivity modelling*

Production logging*

Fluids

Formation pressure QC

Fluid typing

Fluid contact management

Geology

Cross-sections/correlation

Facies prediction

Image processing

Dip analysis

Textural map analysis*

Earth Model

Wellbore trajectories

Mapping

Surfaces

Cross-sections

Geophysics

SEG-Y import

Checkshots editor

Depth-time conversion

Fluid substitution

Synthetic seismograms

Interactive frequency fi ltering




2008

Core.Petrophysics depends on access to many types of data, particularly log and core together.

A wide choice of tools are available for bringing the core data into the interpretation including plotting, editing, upscaling, classifying and fi tting function defi nition. All of these can be found in the application modules Techcore (Tco), Saturation-height modelling (SHM), and CoreDB (CDB).

Core data storage and manipulation are vital tasks. Once they are properly managed, the effective integration of core data with other sources requires reconciliation for reasons of differences in measurement scale and measurement environments. Integration and reconciliation are facilitated by visualisation, quantifi cation and upscaling.

Log.Log data are the fundamental data resources available to petrophysicists. Now, the term includes a wide variety of data types and modes of acquisition: Wireline, LWD, continuous recording, irregularly sampled, single value at a sample, multiple values at a sample (array data), image data, real-time data streaming.

Day after day petrophysicists and log specialists are loading, manipulating and analysing large quantities of log data. Experts go further with specialised interpretations addressing advanced petrophysical questions.

Find these activities in the following modules: Quanti (Q), Quanti.min (Q.m), NMR, Thin bed analysis (TBA) and Saturation-height modelling (SHM)

Focus areas.

Make the connection. < 5 >




2008

Fluids.Reservoir layering, continuity and compartmentalisation are key elements of detailed reservoir characterisation. Their effective analysis is enhanced by bringing many different strands of data to bear on the problem. You can do this within Techlog© where the FPress (FP°) and Fluid Contact (Fc) modules evaluate multiple contacts within compartmentalised reservoirs to derive minimum, maximum and most likely depths for fl uid contacts in complex reservoirs.

The resultant contact surfaces and fl uid typing, by compartment, can be visualised in 3D and instantly updated, should analyses change.

Geology.In addition to the well-by-well view, you can post data onto maps, see the well spatial relationships in 2D/3D and assess correlations and trends qualitatively and quantitatively through the subsurface. Primary tools in the geological workfl ows include log data for correlation and geological characterisation, core data for facies descriptions and image data for structural and fracture analysis.

Core and log data are used very effectively together within Ipsom (Ips) for example to characterise facies; borehole image interpretation in all its forms is the main activity covered by the Wellbore imaging (Wbi) module.

Focus areas.

< 6 >Make the connection.




2008

Earth Model.Show petrophysical and geological data and results as a 3D view of the sub-surface within the same environment where detailed interpretation of those data are performed.

Access the 3D graphical library of 3D Vue (3DV) to build a visualisation of an “Earth Model” which you can then use to explore the interwell space. The 3D graphics toolkit is also used within Wellbore imaging (Wbi) to represent image data and dip planes.

Now petrophysicists work within the context of the full reservoir view in Techlog©.

Geophysics.The need to tie seismic survey data into well information is paramount in successful seismic analysis. Well data are often considered the “ground-truth” for seismic data.

Preparation of the log data is best done within the log domain using the neural network in K.mod (K.m); thus, in Techlog© you can use Geophy (GeΦ) a comprehensive, single-offset, synthetic seismogram package that includes time-depth functioning from checkshot and/or sonic log data, fl uid substitution and synthetics fi ltering.

Then compare these and other petrophysical results directly against seismic data (loaded from SEG-Y).

Focus areas.

< 7 >Make the connection.


© 2008 Techsia. All rights reserved. Techlog is a registered trademark of Techsia - Texts and images are not contractual. What you get out of the box. < 8 >

What you get out of the box.

Techlog Interactive Suite© 2008 is a comprehensive range of high-level capability for managing all your petrophysical data.

This section will take you through the 5 main utilities including data connectivity, data handling, viewers, user programming and statistical analysis.

Techlog is especially designed for interpretation of all types of wellbore data. It is a complete processing and modelling toolbox dedicated to reservoir characterisation. Techlog offers a tightly integrated environment with everything you need to process data for tomorrow as well as today.

Data connectivityInput/OutputData APIOpenSpirit® compliantPetrisWINDS RecallTM linkWITSML

Data handlingData managementData editingData processing

ViewersSingle/multi-well viewersPlots: 1D, 2D, 3D, array and matrix Interactivity

User programmingPython™Stand-alone scriptsMulti-well/zone scripts

Statistical analysisExploratory analysis - Factor analysis - Decision Tree - Correspondence

analysisRegressions - Line fi tting linear/

non-linear - Multilinear regression


2008




2008

Data connectivity.

There is a full range of data loaders and there is a developing family of data connectors, so that you can easily source your data from corporate data stores, other applications or external suppliers: DLIS, LIS, LAS 2, LAS 3, WITSML, CSV, ASCII,

OpenSpirit®, RecallTM, CGM, SVG, EMF, JPG,

GIF, TIFF, BMP, PNG, SEG-Y, etc.

We have accommodated every type of data that you could want to use during an analysis.

TechlogDataAPI is available to enable clients’ programmers to build connectors for other programs to directly access Techlog© data objects.

CoreRoutine core dataSpecial core dataCore reportsCore photosThin sectionsCore logs

LogWirelineLWDImagesArrays

FluidsPressureCased hole logsProduction logsContacts

GeologyMud logGeological layeringGeological faciesStructural dataDips

GeophysicsSeismicCheckshots

Earth ModelTrajectoriesHorizonsMaps/Surfaces

Log data Core data

Wellbore image data Formation pressure and seismic data

Types of data handled by Techlog©




2008

Data handling.

Rapid and effective organisation of data is paramount. Understand the data that are present, understand their limitations, plan the steps required to repair data and then carry out those repairs on large amounts of data at once, either through detailed query commands or through graphical tools.

Within a Techlog project there can exist one or more wells, each with one or more datasets, each with one or more variables. There are no software limitations to the storage.

Make sense of what can amount to very large quantities and variety of data through data tools such as inventories for each data type in the project.

Search for and repair erroneous naming or unit assignment; ensure the correct family and/or alias attribution is made. By this means, performing multiple well data processing becomes very effi cient in the system.

Datasets hold data at a single reference, which can be regular, irregular, depth (MD, TVD, TVDSS, etc.) or time-based, or just a simple index count (e.g. sample ID for core data).

Images and complex array data curves are stored within the same robust data model.

Data Management

When simple editing is not suffi cient, turn on the power of the many graphical and calculation-based tools for more complex data processing.

Data can be re-sampled, shifted, despiked, clipped or upscaled.

Perform mathematical operations such as fi nd derivatives, integrate, fi lter, spline or linearly interpolate or standardise. Frequency domain fi ltering is a powerful option in this category of tool.

Multiple wells may require inter-well normalisation, for instance before computing formation properties. Ensure full and close user control of this operation with a graphical interface to view progress and results at all times.

Data Processing

Data inventory and query

Inspection and review of the values or content of simple curves, arrays, zonations and well properties are facilitated by dedicated spreadsheet-type editors. These can often be linked or copied directly into ExcelTM

for reporting or sharing data with colleagues.

Combine, re-size datasets within wells or merge data from several wells into a composite well as the process may require.

Data Editing

Data editor




2008

Viewers.

There is an enormous range of customisable and interactive viewers that you can use to look at your data. All plots can be conditioned by depth or zone ranges to focus your views to the matter in hand. Once a plot is made for one well, apply it to many other wells directly, or after storage. Run previous templates again by the double-click. Rapidly build matrix plots of histograms, cross-plots, box-plots to see cross-relationships between many data simultaneously. Data selected in plots are instantly identifi ed in all other plots that share a common reference.

All aspects of the plots are customisable; freely mix regular and irregular sampled data; drag & drop arrays and images onto the plot and easily add log or core data on top; vary the scale factors of tracks to amplify sections, or look in detail at core photos; create cross-plots and histograms on the plot that can be live with the data in the display and updated by dragging up and down the plot; add colours and shadings to custom designs or choose the built-in templates.

Customisable

Box-plots, histograms and cross-plots allow you to take data out of the depth domain; in one dimension look at CDFs and PDFs across one or more wells; in two dimensions explore relationships with fi t lines, fi xed or free; see the actual data plotting or the frequency density distribution, that is such an aid to picking end points in analyses; choose subsets of data and calculate instantly the fi t lines through the restricted data; see your data choice highlighted in all other viewers using the same reference system.

Broad and interactive

In Techlog©, graphical tools are more than cosmetic “add-ons” to the system. Intelligent use of plot structure and colours make the pictures a truly integrated part of

the solution process, facilitating complete incorporation of all data types within the many plot options available.

Innovative

Multi-well layout displaying the selected points in depth

Plot template default property table

Multi-well spectrum display of multivariate log patterns within the two selections only

Multi-well cross-plot defi ning two groups of interaction




2008

User programming.

PythonTM is an open-source scripting language that has been harnessed to work inside Techlog©. You can use the full power of the Python language; for example you can customise integrated workfl ows or generate data access routines that link directly into Oracle® databases. It is powerful, yet can be incredibly simple.

Within the platform, there is an editor/parser environment for the PythonTM language together with libraries of access-functions to the data, plot objects and the calculations under the hood in Techlog©.

There is no need to maintain a dedicated compiler for the language, which keeps installation very simple and managed entirely within the Techlog program.

Comprehensive

Tap into the brainpower of thousands of developers and practitioners in PythonTM, from all over the world, to make your special application that accesses the Techlog© data and plot objects that much more effi cient.

Be effective with a few lines of program that yet can be run on multiple wells and multiple zones without the user having to program a lot of housekeeping code to make it happen.

Short learning curve

Python scripts permit the automation of many tasks; for example, establish a batch process that periodically reads a real-time data stream and automatically processes a set analysis workfl ow to produce a preformatted output product.

Workfl ow automation

Reservoir fl uid units identifi cation based on the Lorenz plot analysis:

Lorenz plot: reservoir fl uid units identifi cationDepth plot showing reservoir fl ow units

Phi vs K with Lucia, Winland, FZI chartsPythonTM script editor




2008

Statistical analysis.

There are many statistical analysis techniques available for obtaining a different insight into your data. Looking at data “shape”, data “structure”, looking for data patterns, every analyst knows that these are extremely important tasks. In the Techlog© platform these are aided by the GUI and the inter-process interactivity.

Create tables of simple exploratory statistics that cut through the data in many different ways. Easily produce reports and synthesise large volumes of data. For fi nal output archiving or compilation,

directly transfer the reports into ExcelTM or into the plot header/footer region of the output product.

Calculation of statistics on histograms and in the Data editor further facilitate this

important means of data characterisation.

Access multiple linear regression for a quick look at multivariate trends in your data.

The basics

Increasing in sophistication, use different techniques of Factor analysis to make choices amongst input data when preparing specialised neural network models for classifi cation and function building.

Another more frequent task is to perform data reduction and correlation analysis to assess importance amongst input data.

Make use of the new Decision Tree analysis tool for building classifi cation rule sets.

Factors

Correspondence analysis allows you to compare descriptive data class assignments in an objective manner.

For instance, measure the performance of your facies prediction results.

Correspondences

Contingency table: line frequency between core facies description and facies predicted with Ipsom (Ips).

Data editor: one click data summary

Principal component projection cross-plot

Vector correlation (contribution) in Principal Component Analysis

Multi-well histogram with univariate statistics for each well or all wells

Mode: 54.9727

Median: 54.582

Possible values: 172284

Number of missing values: 1128

Minimum value: -381.75

Maximum value: 447.25

Mean: 54.5878

Average deviation: 16.8918

Standard deviation: 22.987

Variance: 582.402

Skewness: -0.630273

Kurtosis: 81.7896

Statistics:




2008

Which modules are you? < 14 >

Which modules are you?

Techlog© is designed in a modular fashion and companies or users can choose the ones to which they want to have access.

Users have the ability to condition the menu system used in Techlog to suit their own working style. Unused functions can be hidden; used functions can be grouped just the way you like. Customised systems can be saved at Company, Project or User level.

There is a licensing strategy that is easy and fl exible. Pick and choose modules to suit your needs.

Application modules

Techcore Quanti.minCoreDB Nuclear magnetic resonance

QuantiSaturation-height modelling

Thin bedanalysis

FPress IpsomWellbore imaging GeophyK.modFluid contact




2008


CDB

Tco

SHM

Q

Q.m

TBA

Nmr

FP°

Fc

Wbi

Ips

K.m

GeФ

CoreDB.Import, view and manage core data from anywhere

Low and high resolution core images in the viewer panel

Fully customisable, standard plot templates

Build complex queries to fi nd data

Inventories of data and experimental conditionsCountry, fi eld, well listing

Maintain audit trail records permanently in the database

Within countries, fi elds and wells, search for data with complex search fi lters. Filters can use data values as limiting criteria, e.g. porosity > 0.2.

Filters execute complex queries to organise the data; queries can be saved for re-use.

Tables are easily compiled with core results data and experimental conditions data. Click on a report document to see its associated

plug data highlighted. Create mono-well or multi-well inventories by grouping core information through the query tools.

There is full user access to pre-defi ned standard plot templates, with full customisation of plots, histograms and logs. Plots, with their associated data, may be exported to ExcelTM spreadsheets.

A click on a sample in a table brings the core images into view; click on the image to see photos of core plugs listed; click on the core plug picture brings the plug information table. View core images at low and high resolution.

CoreDB (CDB) keeps user activity history that can be accessed from the administrator console. See when data were uploaded, by whom, and whether any edits have been performed.

Locate user data Generate inventories

View data Browse images Keep audit trail




2008


CDB

Tco

SHM

Q

Q.m

TBA

Nmr

FP°

Fc

Wbi

Ips

K.m

GeФ

Techcore.Your solution for core data interpretation

Rapidly and effectively • synthesise and combine both log and core domains

A unique tool to reconcile • core and log data

• Incorporate robust and validated methods of data manipulation with new, state-of-the-art statistical techniques

and access this powerful combination within a fully interactive graphical user interface

• Perform specifi c processing tasks within one user environment, e.g. calculation of capillary functions (Thomeer,

Buckley-Leverett, Lambda, Wright-Wooddy-Johnson and Hyperbolic Tangent methods), grain size, pore throat distributions, etc.

Upscaling with kriging • or representativity

Relative permeability•

XRD transformation•

Output from 1D kriging to upscale core plug data in presence of mini-log data (e.g. mini-perm)

Pore throat distribution from MICP data

Saturation vs Pressure from MICP data

Routine and special core data on the left, displayed at log scale; expanded scale photographs reveal full details on right

PHI vs K cross-plot with Winland callibration lines and power function regressions

• Combine the maximum amount of data available to generate “petrophysical logs” (representative of the variation in core data upscaled by rigorous methods to be comparable to the scale of the wireline or LWD log data)

• Upscaling performed by reference to either continuous core description data or to the most fi nely resolved quantitative measurements on the core (e.g. mini-K or core-gamma) by 1D kriging interpolation (several external drifts are possible)

Upscaling

Partition the core data into “Reservoir Rock Types” or (“petrophysical groups”) that refl ect zones in which storage and transmissivity of fl uids are likely to be similar.

OutputsOther applications include:

ProcessingIntegration




2008


CDB

Tco

SHM

Q

Q.m

TBA

Nmr

FP°

Fc

Wbi

Ips

K.m

GeФ

Saturation-height modelling.SCAL-based calibration of log data

Workfl ow

Model application

Template loading of • special core data

Graphical review and • edit for QC

Transform or normalise • pressure data

Model capillary pressure • data shapes

Apply models within • log domain

Solutions

Brooks-Corey function•

Lambda function•

Thomeer function •

Model design

Each functional solution • has 3 coeffi cients

Automatically correlate the • coeffi cient values against formation properties such as φ, K, sqrt(K/φ) using 5 different fi t criteria (linear, logarithmic, exponential, power and average)

Set the coeffi cients to be • functions of the formation parameters or to be constants, as desired

Instant comparison against • “standard” models for rock-typing

Easily apply saved capillary • pressure models

Direct graphical and • quantitative comparison against log derived results

Optimise models to • reconcile log and core data fully using an integrated solver

Outputs

Characterising parameters • sample by sample

Fully defi ned functions•

Parametric variation with • formation properties and/or rock types

Saturation-height function in • the log domain

FWL estimation•

Export of the equations to • reservoir modelling software

First step: equation fi ts to samples to derive parameters

Third step: combined single function applied across all data in a single rock type group

Saturation-height model results; comparison of core model and optimised model using solver

Cross-plot comparison of core model vs log results (red points) and solver model vs log results (black points)




2008


CDB

Tco

SHM

Q

Q.m

TBA

Nmr

FP°

Fc

Wbi

Ips

K.m

GeФ

Quanti.The smart alternative to conventional log interpretation

Workfl ow design Log quality control

Design your own • petrophysical workfl ow

Save and quickly re-apply • workfl ows to new data

Easily transfer workfl ows to • other Projects

Detection of pure minerals • (coal, halite etc.)

Detection of borehole • geometry effects (bad hole, oval hole, rugosity, etc.)

Flag and/or treat • environmental effects (tension pulls, baryte, KCl, washouts)

Several pre-computations of • fl uid properties

Graphical & interactive parameter selection

Multi-well control of • petrophysical parameters can be achieved by setting defaults for well/dataset/zone combinations

Multi-well and multi-zone • graphical and tabular parameter management gives the users control at all times

Plots are dynamically linked • to parameter tables for graphical and interactive selection of equation parameter values

Edit parameter values • and monitor effects on consequent results through cascade function

Multi-well parameter control table interactively linked to plots

ND cross-plot

Pickett plot

Zone Summary TablesPetrophysical computations

• User-defi ned cut-offs and output table content

• Multi-well and multi-zone summary calculation to different references (MD, TVDSS, etc.), possibility to manage weighting, fl uid code separation and roll up, reporting bed-by-bed.

• One-click save of multi-well output table and direct link to ExcelTM

• Produce graphical output from cut-off sensitivity analysis as a one-click operation

• Monte Carlo uncertainty analysis

• Comprehensive list of petrophysical computations: lithology, porosity, saturation, productivity

• Defi ne parameter defaults at Project/Well/Zone levels; hierarchical parameter management facilitates scenario comparison

• User may insert scripts into Quanti (Q) workfl ow for instant multi-well, multi-zone application

• Monte Carlo relative and absolute uncertainty modelling

Multi-well Quanti (Q) output layout interactively linked to Quanti table Sensitivity to cut-offs




2008


CDB

Tco

SHM

Q

Q.m

TBA

Nmr

FP°

Fc

Wbi

Ips

K.m

GeФ

Quanti.minThe multi-component inversion model

Outputs

Detailed automatic layout, • can be fully customised by the user

Unique array-histograms • clarify data relationships by plotting all the components against input log data or log data residuals

Juhasz and m* plots•

Characterise the output result • curves (e.g. mineral volumes, Sw,Φ) with calculated uncertainties due to choice of model components and parameters

Sensitivity analysis with a • Tornado plot to investigate the contribution of different parameters in the model

Model design

Models may be defi ned as • single mineral sets per zone

Multiple mineral sets per zone • can also be established with sets switching automatically according to a partitioning curve that changes as the log facies change

Interactive parameter • management e.g. for wet clay

Solutions constrainable • against a priori information e.g. XRD or CEC data; both single component and multiple component volume constraints are possible

Incorporate “Special fl uids” to • account for the effect of baryte in the drilling mud

User control of tool uncertainties•

Calculated uncertainty bands on output volumes (kaolinite and quartz) and petrophysical parameters (Sw, ΦT)Parameter control table and default results layout, carbonate model example

Workfl ow design Solutions

Build multi-component • model with linear and non-linear tool response functions

Save and easily re-apply • models to new data

Easily transfer models to • other projects

Optionally use curves instead • of constants for end-point, curve uncertainties and other control parameters

Sequential Quadratic • Programming: a very powerful family of robust, non-linear optimisation methods

Resistivity models: Archie, Dual • Water, Juhasz, Simandoux and Waxman-Smits

Sonic models: Wyllie, • Raymer-Hunt-Gardner, Raiga-Clemenceau, Field equation

Neutron equations: NPHI, TNPH, • APLS, SNP, SWN_BA, BA2435, BA2420

Parameter control table and default results layout, clastics model example

ND cross-plot to pick end-points interactively

m* plot

Parameter control cross-plots interactively linked to Quanti.min (Q.m) table




2008


CDB

Tco

SHM

Q

Q.m

TBA

Nmr

FP°

Fc

Wbi

Ips

K.m

GeФ

Thin bed analysis.Resolve your highly laminated formations

Workfl ow Solutions

Drag & drop curves into the dedicated • layout associated with the application

Application control table automatically • populates

User makes choices for work streams • and sets fl uid parameters

Interactive cross-plots appear • automatically to allow optimisation of the Thomas-Stieber control points

The evaluation completes using the • selected end-points

Depth ranges chosen for analysis • are controlled either by input zones, by input fl ag curve, by typing depth ranges or by graphical selection of intervals on the plot

Deterministic Thomas-Stieber•

Probabilistic Thomas-Stieber, • with sensitivity analysis for equivalent hydrocarbon column uncertainty

VLSA method with • interactive controls

Model design

Drag & drop selection of • input curves

Tabular control screens • for clarity

User options cause table • to react and update – infeasible combinations of inputs are prevented

Interactive picking of • Thomas-Stieber end-points facilitates correct choice of parameter values

Laminated or isotropic • resistivity models may be chosen

Thomas-Stieber default results layout

Outputs

Sand fraction porosity and • saturation accounting for non-reservoir shale laminations

Net sand volume (used to weight • volumetric analysis of the sand fraction analysis)

Detailed automatic depth plots • and cross-plots

Full sensitivity analysis available • within the probabilistic model

Tornado plot highlights • main effects on Equivalent Hydrocarbon Column (EHC)

Model application

Completely fl exible application • depth range specifi cation

Zones•

Input fl ag curve•

Graphical selection•

Typing•

Interactive parameter control cross-plots for Thomas-Stieber analysis

“Low Resistivity Pay” sensivity tornado plot and EHC uncertainty




2008


CDB

Tco

SHM

Q

Q.m

TBA

Nmr

FP°

Fc

Wbi

Ips

K.m

GeФ

Nmr.Pore network and fl uid distribution

T2 Conversion: data “regularisation” Toolbox

Adjust the T• 2 data into a single data range and a single number of bins across that range, irrespective of tool source. The application is designed to accept all industry T2 distribution data and to convert them into a regularised T2 distribution

• Compute porosities, permeabilities, water and hydrocarbon volumes through an intuitive user interface; the results can be displayed immediately and controlling parameters/functions adjusted graphically if necessary

• Using the clay-bound water (CBW) cut-off (from constant or curve), the NMR clay-corrected porosity and the CBW volume are computed. The Free-Fluid-Index (FFI) cut-off is used to compute the hydrocarbon volume. The total porosity is an integration of the regularised T2 distribution

• Two estimates of permeability, the Coates and SDR permeability, are automatically computed from standard equations whose parameters can be again curves or constants and can be adjusted graphically if necessary

NMR toolbox and capillary pressure module output

Capillary Pressure from T2 distribution

Compute a capillary • pressure curve from the T2 data.

The computed capillary • pressure depends on the oil volume and the height above free water level.

In the intervals with • hydrocarbon, a hydrocarbon correction can be applied to the T2 distribution

Coming soon

Wettability estimation•

Pre-processing analysis•

Echo chain visualisation Pc inverted from T2 displayed in an array-array plot

GR vs T2 bins displayed in histogram-array plot




2008


CDB

Tco

SHM

Q

Q.m

TBA

Nmr

FP°

Fc

Wbi

Ips

K.m

GeФ

FPress.Control the pressure

Quality control Analysis

Within an interactive and graphical tool, analysts can:

start from raw data•

concatenate all the pressure • readings into a pressure-time array by depth format

display and review the quality • of the pressure picks, adjusting graphically if required:

- fi nal build up pressure

- pressure drawdown

- pressure, before and after

• Multi-well and pre-test data analysis for contacts and fl uid typing by determination of densities

• Graphical interface for faster and intuitive analysis

• Integration of the fl uid connectivity concept: groups defi ning potential reservoir regions

• FPress (FP°) Quality Control output used as weighting factor for gradient/density calculation

• Defi ne free fl uid levels and hydraulic barriers

Quality control table interactively linked to plots

Pressure-Time plot interactively linked with QC table

Investigate the uncertainties

Input uncertainty ranges for depth • and pressure measurements

Estimate ranges of gradients • consistent with the uncertainty model

Quantify the impact on fl uid levels or • connectivity of data uncertainty

Coming soon

Work by group (e.g. “hydraulically • connected units”)

Known gradient comparison•

Residuals analysis•

Pressure-Depth plot for gradient analysis interactively linked to control table

Formatted multi-well template summarising FPress (FP°) analysis results




2008


CDB

Tco

SHM

Q

Q.m

TBA

Nmr

FP°

Fc

Wbi

Ips

K.m

GeФ

Fluid contact.Management of complex reservoir compartmentalisation

Views

• Results are presented graphically for ease of comparison; depth plots can easily be supplemented with any other relevant log or core data to build a useful multi-well summary template plot

• Able to visualise the contacts within the 3D environment directly within Techlog©, using the 3D Vue (3DV) dynamic plotting engine

Output

The main output is a table • of minimum, most likely and maximum depths of each fl uid contact between pairs of fl uids

Information for each • “initialisation region” or reservoir compartment is separately reported for ease of transfer into external models

Fluid contact (Fc) table: multi-well/multi-zone summary view of fl uid contacts

Fluid contact (Fc) multi-well default output plot showing contacts, compartments and fl uid codes

Raw material

Scheme of compartmentalised reservoirs: common contact and hydraulically connected reservoirs

Process

Resolves the depth data of all these multiple inputs in measured depth and/or TVD within a single wellbore or across multiple wellbores to identify compartments

within the reservoir as seen through well data

Input multiple zonation schemes in which you can incorporate information from geology (layering, structure, faults from a 3D Earth Model), reservoir engineering

(initialisation regions from a simulator) and petrophysics (fl uid codes, net reservoir intervals, fl uid levels and gradients from FPress (FP°))




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Wellbore imaging.Sophisticated image analysis

Workfl ows Pre-processing functionality Image processing ability

Designed from the ground • up to be a generic imaging module, from handling raw data to processed images

Ability to bulk process on • a multi-well basis, process by zone, save and apply imaging workfl ows

Utilisation of clear • graphical interfaces, and a comprehensive video-based help system

Graphical and intuitive • interface to maximise clarity for users

Full support for all • commonly run imaging services from raw data stage or for already processed images

Effi ciently perform speed • correction and image concatenation with multi-well ability

Perform a host of image • normalisations with preview ability and full control on outliers

Full support of a variety of • image fi lters to further enhance image feature clarity

Batch process by well or zone•

Graphical interface offering guidance to users; list of imaging tools handled by Wbi module

Multiple image output plot to illustrate stages of image processing/enhancement

Dip Processing Parameter Extraction Coming soon

Innovative methods of • manual dip picking, classifi cation and display to enhance effi ciency

Auto-dip picking ability • through graphical workfl ows, maximising ease of use

Full range of dip display • plots, dip conversion, import/export, dip picking from multiple images

Dip removal processing•

Image parameter extraction workfl ows•

Precision variable extraction for • downscaling process, through utilisation of the versatile PythonTM script module

Schmidt and Wulff plots•

Eigenvalue and Eigenvector • analysis

Net to gross and sand count•

Textural map•

Fracture property • quantifi cation

Dip picking, classifi cation and pictorial representation as “Rose” diagrams

Caliper associated with images 3D cylindrical view of image data, diameter of cylinder modulated by variable - in this case the caliper




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Ipsom.The intelligent classifi er

Advanced classifi cation technique Comprehensive statistical tools

Automatic facies identifi cation is playing a key role within the Oil & Gas industry. Ipsom (Ips) is a unique classifi cation module that brings added value to interpretation workfl ows.

The 2D indexed and probabilised self-organizing map (Ipsom) is designed for use in:

• geological interpretation of well log data and facies prediction

• optimal derivation of petrophysical properties (Ф, K, hydraulic units etc.).

During the fi nal control and validation phase, results are quantifi ed and refi ned through an iterative process. High quality statistical and graphic tools with total interactivity and great ease of use, lead to a better

understanding of coherence between core description, log responses and consistency on the map.

Self-Organising Map at initialisation phase

Sorting and organisation phase of the grid of nodes

Indexation phase with facies core description

Accurate model calibration Outputs

The key to the classifi cation process is calibration. The aim of calibration is to give each neural unit an actual geological meaning: this is known as the indexation phase. Each neural unit is assigned a code that

corresponds to a geological interpretation (detailed core description). This stage is essential for a direct interpretation of electro-facies in sedimentological terms.

Optimised partition of log • data calibrated to facies described in core

Facies output curve • associated with a probability of occurrence of predicted facies at each depth

Spectrum plot illustrating log patterns for different geological facies

ND cross-plot colour coded by Ipsom (Ips) predicted facies

Default output layout from Ipsom (Ips); probability of facies’ presence is indicated at extreme right




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K.modObjective reconstruction of missing data

Supervised Neural Networks

Parameters can be • reconstructed or modelled directly from log data, via an interactive learning process

Multi-Layer Perceptron: • a powerful non-linear modelling tool that retains all the original variability in the data

Quantitative parameter modelling

K.mod (K.m) is designed to extract essential information from log data in order to:

• predict non-recorded parameters (Ф,K)

• reconstruct missing or poor quality measurements and therefore compensate for bad hole conditions, environmental effects, acquisition problems, etc.

• bring solutions for scale shift management from core to reservoir scale

• potentially reduce the need for coring and plug analysis for the subsequent appraisal wells by comparing well log and core data

Network design diagram Progression of error minimisation Default output layout showing fi t quality assessment in right-hand track: permeability example

Interactive, easy-to-use and very fastFully quantifi ed uncertainties

• K.mod (K.m) is based on a complex technology but remains easy-to-use

• It is a straightforward but effi cient tool that offers a simple interpretation and a more accurate reservoir characterisation

K.mod (K.m) is not a “black box” tool: the users keep full control of the input parameters and receive clear feedback on the log quality and model quality, at all times.

Uncertainties can be managed:

on inputs: back propagation • method to check the contribution of each input

on output: self-organised map is • categorising data samples in the training and validation data for their effectiveness in modelling the target data

Possibility to weight inputs to force the model to reach extreme values.

Optionally standardise output and learning data distributions to match dynamic ranges.

Reconstruction of poor data sonic affected by cycle skip or wash-out




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Geophy.Comprehensive solution for combining petrophysical and geophysical data

Synthetic seismogram generation

Simply drag & drop time-• based log data sampled at the desired frequency into the control window

One click to create the RFC, • impedance and synthetic trace

Use the graphical wheel • control of the frequency domain band fi lters and immediately view the results of using different fi lter settings

Filters available: Chebyshev, • Bessel, Sync, user-defi ned wavelet and Butterworth

Gassmann fl uid substitution

Drag & drop log data into • the control window

Edit settings manually or use • the graphical wheel controls

Parameter input by constant • or curve; controllable over zones or intervals

View pre-formatted output • layouts for clear results

1D synthetic with repeat plot Gassmann fl uid substitution default layout

Specialised tools available Time-Depth computation methods

Create a Time-Depth function • using one of several techniques based on checkshot and/or sonic log data

Automatically convert selected • log data to time basis

Compute refl ection coeffi cients • (RFC) and impedance curves and convolve with chosen seismic wavelet

Apply fi lters in frequency domain • to the seismic wavelet and interactively observe impact on calculated synthetic seismogram

Apply Gassmann fl uid • substitution to prepare log data for comparison to seismic data

Checkshot only •

Sonic only •

Least-squares fi t of sonic data • onto checkshot data

Forced-fi t of sonic data onto • checkshot data with automatic view of the adjusted sonic curve

Drag & drop log data to convert • into time-based data using an anti-aliasing fi lter

User control of sampling frequency •

Checkshot editing by graphical comparison with sonic transit time

Adjusted sonic output from one method of Time-Depth function defi nition

Frequency band pass fi lter and wavelet signature plot




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Your essential platform. < 28 >

Your essential platform.

The platform includes all the fundamental activities to which everyone who uses petrophysical data needs access.

The modules included (next page) within the platform are bundled together and offered as a complete package.

Every time Techlog© is run on a computer, a platform seat is used irrespective of the application module or modules that will eventually be applied in that session.

Platform modules




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Techdata.Data management

Data management is all about data harmonisation for effi ciency of access. Multi-well capability is built-in from the ground up. Powerful tools are available in Techlog© with which to identify the data that are present, to understand any naming or unit problems, to correct those issues rapidly in order to arrive at a state where access to 1000 wells’ data is as straightforward as access to two wells’ data.

Techlog easily handles regular or irregular depth or time reference systems simultaneously.

The simple principles of a “Data Family” or a “Data Alias” allow you to rapidly harmonise names, units, scales, colours etc. across your entire project,

and allow you automatically to control preferential data selection

Clarity

From potentially many hundreds of wells in a project, use powerful data mining tools to rapidly understand the data that are present and any

errors of naming, units and families assignment, etc.

Using the combination of data inventories and detailed data queries, search, fi nd and repair spurious names, units and family/alias assignment.

Arrive at fully harmonised datasets ready for effi cient multi-well work in a fraction of the time.

Access Effi ciency

Detailed query tools fi nd and repair errors in data names, units, step increment, etc.

Variable inventory

Attribute data families available for editing by users




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Techdata.Data editing

Techlog’s powerful data editing tools form an integrated interactive toolkit that allows users to enhance their data and dataset quality effectively and effi ciently.

Spreadsheet type Data editor with direct link to ExcelTM

Several editors have been developed to facilitate access to data of different types for numerical editing. Variable and zone editing are also fully supported within the graphical display tools.

Spreadsheet link to ExcelTM ensures simple, direct reporting.

Operations on Data

Statistical view of the data in Data editor

Datasets are logical groups of curves held to a common reference. Many operations can be performed on one or more datasets at a time; for example:

trim raw data to interval of interest •

combine many datasets for further • focussed processing

Operations on Datasets

Clear tabular control eases complex processing on entire datasets (combine and resize datasets)




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Techdata.Data processing

The fi nal key step in the data preparation workfl ow is the processing of curves to enhance their accuracy and usability.

Techlog© provides a broad range of graphically based tools to make the most of your data and ensure full user control at all times.

It is very important in data manipulation to be able to visualise the process quickly. The platform includes the means of graphically editing, trimming, clipping, depth shifting, deleting, joining, merging

(splicing), despiking, smoothing, interpolating and standardising your data right off the plot.

Graphical methods allow the analyst to keep control of the process.

Graphical

Depth shifting

Despiking

Handle large amounts of data at the same time, for example:

merge/splice or resample whole • datasets

data normalisation graphically • across multiple wells

The powerful data management tools enable rapid access to relevant curves even in the most complex projects.

Powerful

Multi-well Gamma Ray histogram - after normalisation Default layout display of the normalisation processing

Multi-well Gamma Ray histogram - Raw data




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Techplot.Single well

Entirely customisable layouts • provide enormous fl exibility in designing depth or time-based plots. Every aspect of these plots is at user control, and the fi nal design can be saved as a template for instant recall for the next case

Add other plots within the tracks • on the plot with full control over the depth range selection

Combine images and log curves by • a simple drag & drop operation

Tracks may each have their own plot • scale, called “zoom factor”. Use this powerful feature to create montages combining overview scale with detailed scale plots, for example when incorporating core photographs (see illustration below)

Many curve editing and processing • operations are accessible through these plot

All plots can be constrained by depth • range or zone range. Print out to system plotters (page, continuous or large format) or export your work to soft copy .CGM, .PDF, or .EMF fi le formats

General layout integrating different types of data (core, log, images) and incorporating histograms and cross-plots into dedicated tracks

MICP pore throat distribution

Saturation vs Pressure data grouped by rock types

Flexible Adaptable

2D and 3D cross-plots are rapidly • created by drag & drop of data from the Project Browser

Fit lines and regressions, linear or • non-linear, fi xed point or fl oating can be easily created for all data on a plot or for subsets of data selected

Crop data, add simple and complex • fi lters and constrain plots by depth(s) or zone(s)

Plot array data in specialised • displays for visual review and graphical editing

PHI vs K cross-plot with Winland calibration lines and power function regressions

Polar plot of dip data classifi ed by dip types

Matrix plot of multivariate data

Adaptable (cont.)




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Techplot.Multi-well

Design a layout for a single well, then • right-mouse click to apply the design to one or more other wells in the project. There are no software limits to the number of wells included in a plot, so these tools can accommodate many tens of thousands of data points, as required

Full interactivity make Techlog’s • viewers an easy to use and powerful analysis tool. Choose data in one view and all instances of those references are highlighted within any type of co-existent plot. The selection is live in the memory of the computer so plots can be linked if they have no curves in common but only the same references

Data selected in multi-well plots appear highlighted in all plots that share a “reference” in common

m* plot

Pickett plot

Interactive Specialised plots: customisable plots • for the management of parameter selection interact with the parameter tables and the result plots; users modify parameter values graphically and see the results update automatically. Plots include the Pickett plot, Thomas-Stieber plots, m* plot and Juhasz plot

Accessible

• Bring large amounts of data together in multi-well displays

• Multi-well cross-plots have all the functionality of single well tools; generate any kind of regression through all the data present or through sub selections across multiple wells in the plot or automatically by zone or by well

• Equations can be saved and used directly from the plot within spreadsheets and other editors

Complex plot templates involving • many wells may be adapted by duplication and altering the input data control, or by applying the same template to other groups of wells

Depth plot cross-section linked by zonation

Multi-well cross-plot with frequency display and histograms

Multi-well box-plot

Accessible (cont.) Reproducible




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Techplot.Composite output

Composite headers and footers combined with multiple track sections to provide report quality output for publication

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API WELL No . : WELL LOCATION Montpellier

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SEC : TWP: RANGE:

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Magnifi ed views of header and footer

A key function for the • user is to produce copy to illustrate reports or share data and interpretations with colleagues

In an operational • environment, re-usable templates that combine headers, footers, tables, cross-plots, histograms and layout tracks within a single display often describe a “product” that defi nes the operation

Build well composites • piece-by-piece, save the template design and apply directly to the next well in the operational sequence

Annotate the details of • the plots for ease of reference long after the operation is completed

Other methods of output • of plot copy include screen shots, .CGM, .WMF or .PDF fi les, and hard copy to page, continuous sheet or large format plotters located anywhere on your network

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3D Vue.Visualise multiple wells in a 3D environment

Multiple well 3D dynamic engine Cross-sections

Possibility to view several wells • from unlimited angles

TVDSS, X and Y coordinates • display

Zones displayed on each • individual wellbore

Display continuous parameters • as modulations of well cylinders

Unlimited colour palettes•

Continuously update your view • with data from real-time data acquisition

Link wells together in regular or • random line cross-sections to explore spatial relationships in your data

Use wellpath trajectories to locate wellbores within their spatial positions to create a 3D model of the reservoir or geological structure under study.

Random line cross-section showing zonation scheme between wells3D representation of wellbore trajectories

3D borehole visualisationMaps and surfaces

• Well display using Wellbore imaging (Wbi) module

• Direct interactive link between the depth plot and 3D Vue (3DV)

Propagate across the model by • 2D kriging between wells any parameter carried within Techlog©; these can be formation results data, zone average log data, core data, parameters extracted from images, facies, etc.

Post surfaces in the 3D cube: • layers, parameter values, seismic and geological horizons, fl uid contacts, etc.

Post surfaces and contour maps in 3D Vue (3DV)




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PythonTM

Go further with user programming

Introduction

PythonTM is an open-source scripting language that Techsia has incorporated within the Techlog© platform. In the world at large, it is in use today across many industries; it is being developed by many individuals to perform all manner of programming activities from simple calculations to complex interface and database implementations. When you use Python in Techlog, you have available an enormous resource of technology that is derived from a user-base numbered in the many thousands.

What Techlog© provides

Techlog© PythonTM editor combined with “libraries” that permit access to:

All Techlog data objects • (e.g. wells, datasets, curves, properties etc.)

Maths/Statistics routines•

Petrophysical calculations • (e.g. shale, porosity and saturation equations)

Plot objects (e.g. access • a pre-defi ned template or create a new template within a Python script)

PythonTM script editor: example of data manipulation with interactive help

More resources How to use it

Additional tools and library • functions through Internet access from the PythonTM community

Scripts can be used to access • previously compiled code written in C++ or Fortran, for example

• Techsia has provided a large number of ready-made scripts that accomplish many tasks; these can be used as completed, functioning scripts or as starting points for adaptation to a specifi c task of interest

• Scripts can be run “stand-alone” directly from the Python editor; any script can access other scripts as “sub-routines”

• Scripts can be incorporated into Quanti (Q) workfl ows and thus be applicable over many wells and/or data interval ranges without the analyst having to write a lot of data access/housekeeping code

Qvn calculation: PythonTM script within a Quanti (Q) workfl ow table and output display in the layout




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Techstat.Comprehensive exploratory data analysis

Classifi cation and normalisation Regressions

Hierarchical clustering:

• fi nd similarities between wells

• group wells together

• if necessary, align data responses using sophisticated Gaussian analysis, group-by-group amongst wells

• results are displayed in a dendrogram

Decision Tree:

• powerful classifi ers where inputs are mixed and incomplete variables (qualitative and quantitative)

• rank inputs by their information gain

• deduced rules can help to understand the input data

Linear (RMA, Major Axis, x/y, y/x), • non-linear, polynomial algorithms are available

Regression and other fi t lines and • functions may be created and conditioned on fi lters, zonation, well-by-well or multi-well

Fit lines may be calculated for • user-defi ned subsets of data using the data selection tools and interactivity between viewers

Regressions can be freely • calculated or forced through a fi xed point on a plot

Input user defi ned-equations • graphically and by keyboard entry

Hierarchical cluster analysis (HCA) dendrogram

Decision Tree rules

Regressions by selections and table of resulting

equations for reporting

Factor analysis Coming soon

• Principal Component Analysis (PCA) is a useful tool to summarise data, since it separates the dominating features in the dataset

• Linear Discriminant Analysis (LDA) is used to determine the best projection space to discriminate between two or more naturally occurring groups. It clarifi es subsequent cluster analyses on users’ data

• Multiple Correspondence Analysis compares qualitative variables that may either be of similar type (observed vs predicted curves) or be of dissimilar type (geology vs petrophysics)

Extend the reporting of • exploratory statistics with a new and comprehensive reporting module. Partition your wells by zones or facies or fl uid types, for example, and select from many summary statistics

Build P10, P50, P90 output • reports for sharing with colleagues

Analyse uncertainties in • zone summary information with Monte Carlo analysis of results tables

Correspondence analysis formatted report

Principal Component Analysis: comparison of projections

Principal Component Analysis: comparison of vectors



2008

Here if you need us. < 38

Here if you need us.Service, support and training

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Training sessions are provided by our team to help you become an expert with the software. Courses are available and adaptable to suit your specifi c needs.

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