Art_13

SAUDI ARAMCO JOURNAL OF TECHNOLOGY FALL 2013

Advanced Drilling Analysis Tool Authors: William Contreras Otálvora, Ramzi S. Ali Al-Ghamdi and Murtadha M. Al Hubail

ABSTRACT Saudi Aramco has a long history — nearly eight decades — drilling for oil and gas; thereby collecting and storing the relevant drilling data mapped to bits, formations, tools/equipment, and other downhole information. Consequently, this large collection of drilling data needed to be organized, analyzed and presented to help the drilling engineers make the best decisions on future wells. These decisions include the most efficient approaches, the best available tools and the learning to deliver wells that achieve the optimum productivity.

Understanding this need the Drilling Technical Department, in conjunction with the Petroleum Engineering Applications Software Division within Saudi Aramco, developed an application called the Advanced Drilling Analysis Tool (ADAT) that provides four distinct categories of analysis. The drilling engineers can access and execute any of ADAT’s analysis modules through an easy and interactive graphical user interface (GUI) dashboard. The supported analysis modules are the Drilling Troubles Analyzer (DTA), Service Company Performance Analyzer (SCPA) and Bit Performance Analyzer (BPA).

ADAT can be used to:

Check and pinpoint the overall productive and nonproductive time, during any period through the “Dashboard.”

Search for drilling troubles around a desired well, within specified distances through the DTA.

Select the best bit by using the BPA.

Benchmark the overall performance of any service company through the SCPA.

Produce results in plots as well as tables.

ADAT is a Web based application that can retrieve the desired drilling information from the corporate Oracle database and yield sophisticated analysis reports in a fraction of time, employing both well engineered and carefully designed SQL queries. An additional feature of ADAT allows the users (typically drilling engineers) to keep an eye on multiple wells (both historic and current) by adding them to the “My Wells” list, if they wish too.

Utilizing ADAT effectively, the drilling engineers and operations teams at Saudi Aramco can reduce the drilling cost per foot (CPF), mitigate hole problems,

minimize the tool/equipment failures, and benchmark new technologies.

INTRODUCTION To properly plan the drilling of a well, the engineering team requires accurate information about the perform-ance of the offset wells, history of any downhole problems, etc. Gathering this relevant information is sometimes a difficult process, especially when the source of information is a repository as large as the Saudi Aramco database. To help engineering teams in the process of gathering information and retrieving data from within this framework, intelligent tools were needed. In this regard, the Saudi Aramco Drilling Technical Department, in conjunction with the Petroleum Engineering Applications Software Division, has developed an application that permits drilling engineers to analyze many elements of the drilling activities relating to time, equipment and personnel working in specific geographic areas.

All the values and statistics presented in this article are for demonstration purposes only. This article does not contain any valid operational data that might be confidential and belonging to Saudi Aramco.

ADVANCED DRILLING ANALYSIS TOOL (ADAT) The Advanced Drilling Analysis Tool (ADAT) is a Web based application, built using Service Oriented Architecture (SOA). By using this architecture, different components work together to produce the final result. The core component that ADAT uses is an in-house developed library called the Drilling Analysis Core Library (DACL). This key library, which is built using Microsoft’s .NET technology, provides all the basic functions that are required for any analysis application. The DACL communicates with Saudi Aramco’s corpo-rate Oracle database through a database access layer. This layer utilizes multithreading to maximize the performance and minimize the analysis time. All other SOAs components are using the DACL to produce their results.

The user interface, which combines the functionality of different SOA components, is built using Adobe’s Flex framework, which resulted in a rich and interactive user


Fig. 1. Software architecture for ADAT.

experience. Finally, the reports are generated using SAP’s Crystal Reports technology.

Figure 1 summarizes the software architecture for ADAT.

ADAT is formed using four different modules: 1. The ADAT Dashboard (for general, benchmark

and trend analysis) 2. The Drilling Trouble Analyzer (DTA) 3. The Service Company Performance Analyzer

(SCPA) 4. The Bit Performance Analyzer (BPA)

GENERAL INPUT The ADAT user interface was designed to allow users to filter the results based on their needs. In the general input of the application, the user can select from a combination of relevant variables that help to focus on the specific information required.

The active filters in the General Input Screen are: Period of time, department, field, well type, location type (onshore/offshore), budgeting type, rig provider, rig fluid well (gas/oil/water), drilling type (new wells/reentry wells/ workover wells), well or group of wells, hole size, kind of rig activity (regular/coiled tubing (CT) drilling)/lump sum turnkey (LSTK).

Typical user inputs are defined in the following screen shots, Figs. 2 to 17.

After the general input screen has been defined, the users can then select any of the four modules for their specific analysis: 1. ADAT Dashboard (for general, benchmark and trend

analysis) 2. DTA 3. SCPA 4. BPA

Fig. 2. General Input Screen: Users can select from any of the active filters.

Fig. 3. Period of Time: Users can select a specific period of time from an initial date to another specific end date. The system also has preset periods as today, this month and this year.

Fig. 4. Department: Users can select a specific D&WO operating department or select all of them.

Fig. 5. Field: Users can select a specific field or leave it open.

Oracle

Database

Drilling Analysis Core

Library (DACL)

SOA Component SOA Component SOA Component

User Interface


Fig. 6. Well Type: Users can select a specific well type or leave it open.

Fig. 7. Location Type: Users can select between onshore, offshore or all.

Fig. 8. Budgeting Type: Users can select any combination of the different BI types (Exp, Dev, WO, NDE, etc.).

Fig. 9. Rig Provider: Users can select a specific rig provider or leave it open.

Fig. 10. Rig: Users can select a specific rig or keep it open.

Fig. 11. Fluid Well: Users can select between gas wells/oil wells/water wells or any combination.

Fig. 12. Drilling Type: Users can select new wells/reentry wells/ workover wells or any combination.

Fig. 13. Well(s): Users can select a specific well to be analyzed.

Fig. 14. Well(s): Users can select a group of wells located in a specific area by using the Geographic Information System interface.


Fig. 15. Well(s): Users can select a list of wells chosen manually and stored in the customizable list of wells, on “My Wells” or select all the wells (include entire database).

Fig. 16. Hole Size: Users can select a specific hole size or leave it open.

Fig. 17. Kind of Rig Activity: Users can select between regular rigs, CT drilling rigs and LSTK rigs or a combination.

ADAT DASHBOARD The ADAT Dashboard module’s objective is to perform an overall analysis within the defined time period for the specific wells selected in the general input screen. The dashboard module includes three distinct kinds of analysis: 1. General Analysis 2. Benchmark Analysis 3. Trend Analysis

ADAT can produce results in plots as well as tables.

General Analysis Module The General Analysis module allows the users to gen-erate time distribution analysis based on the selection from the general input screen.

When the analysis is done, ADAT will initially supply a distribution of operating time, based on the productive and nonproductive time, Fig. 18.

Fig. 18. Operating time, based on the productive and nonproductive time category.

By clicking on any of the specific categories, the

user can drill down into each category. For example, by selecting the productive time category, the detailed distribution of time inside this category can be seen, Fig. 19.

Fig. 19. Productive time, showing the distribution of time.

Similarly, the user can drill down into the non-

productive time category, obtaining the detailed distribution, Fig. 20.

Fig. 20. Nonproductive time, showing the distribution of time.


Fig. 21. An analysis of hole problems.

Fig. 22. An analysis of tool failures.

Continuing within the nonproductive time, it is

possible to drill down to further analyze the hole problems, getting this kind of result, Fig. 21.

Or to see another analysis within the nonproductive time, it is possible to drill down to further analyze the tool failures, getting this kind of result, Fig. 22.

Every analysis can be studied by using the plots or getting tabular information, Table 1.

The tables can be exported to Excel™ and plots can be exported as images in formats as PDF, JPEG and PNG for further use.

Attribute Time (Hours)

Percentage

Fishing/Milling 530.5 5.36

Flowing 348 3.51

Hole Instability 1,915 19.34

Lost Circulation 1,624 16.4

Stuck Casing 254.5 2.57

Stuck Pipe 3,646.5 36.82

Unplanned Sidetrack 399 4.03

Well Integrity Enhancement

559.5 5.65

Wireline Tool Stuck 625.5 6.32

Table 1. An overall view of each analysis.

Benchmark Analysis Module The Benchmark Analysis module allows the user to generate comparison analysis between departments, well types and budgeting classifications.

Based on the general input screen, ADAT will perform a single analysis of the time distribution for each category inside of the benchmark. For example, in a benchmark analysis by department, ADAT will run a single analysis for each department and then will show the results for each department as a direct comparison.

The benchmark comparisons can be done in three different ways:

1. Lost time (hours). 2. Percentage of the lost time over the total operating

time. 3. Percentage of the lost time over the total time of the

category. Figure 23 shows the first level of the analysis in

terms of total operating time and lost time (hours). An analysis of nonproductive time in terms of lost

time (hours) can be seen in Fig. 24. If the analysis is performed in terms of percentage of

the lost time over the total operating time, the results can be seen in Fig. 25.


Fig. 23. The first level of the benchmark analysis module.

Fig. 24. Analysis of nonproductive time based on lost time.

Fig. 25. Analysis of lost time over the total operating time.

Fig. 26. Analysis of the percentage of lost time over the total time of the category.

And if the analysis is done in terms of percentage of

the lost time over the total time of the category, the results would be as seen in Fig. 26.

All the detailed analysis that was shown in the

General Analysis module, Figs. 18 to 22, can also apply within the Benchmark Analysis module.


Fig. 27. Monthly analysis over a one year period.

Fig. 28. Analysis of nonproductive time over a one year period.

Fig. 29. A deeper analysis, i.e., hole instability.

Trend Analysis Module The Trend Analysis module allows the user to generate detailed trend analysis based on the selection from the general input screen. Analysis can be done on a monthly, quarterly or annual basis.

Using the general input screen, ADAT will perform a single analysis of time distribution for each period of time (months, quarters and years).

For a monthly analysis over a period of one year, the analysis would show a first level analysis, Fig. 27.

If an analysis of nonproductive time is desired over a one year period, ADAT will generate a graph as shown in Fig. 28.

Deeper analysis can be done, e.g., by running an analysis for nonproductive time hole problems hole instability, delivering the graph as shown in Fig. 29.

ADAT DRILLING TROUBLE ANALYZER The second module of ADAT, the DTA, has an objective to generate an analysis of troubles associated with hole problems and tool failures.

This module consists of two submodules:

1. Analysis by incident 2. Analysis by service provider Analysis by Incident Using this submodule analysis can be done based on the lost time, number of events, frequency, depth, hole size, etc.

A secondary input is shown on the application, Fig. 30.


Fig. 30. A secondary input using the submodule analysis of the drilling trouble analyzer.

Fig. 31. Department analysis of the number of events.

Fig. 32. Department analysis of the number of wells.

The trouble class identifies the kind of problem to be

analyzed, which can be either hole problems or tool failures.

The trouble type is a subcategory of the trouble class and could be for several types of hole problems:

Fishing/Milling

Flowing

Hole instability

Lost circulation

Stuck casing

Stuck pipe

Unplanned sidetrack

Well integrity enhancement

Wireline tool stuck This subcategory can also be for several types of

tool failures:

Blowout preventers

Bits/Coring

Casing accessories

Casing test tools

Cementing tools

Cleaning well tools

CT

Completion equipment

Directional drilling and survey tools

Drilling tools

ESP and accessories

Fishing tools

Other

Torque tools

Tubulars

Well testing equipment

Wellhead, X-mas tree and accessories

Wireline tools Several different analyses can be run under this

submodule, they are: Department Analysis. This analysis identifies the comparison of the occurrence of the event between departments, based on the selections on the general input and the secondary input, e.g., further analysis of hole problems hole instability. Figures 31 to 34 show that several plots can be generated.


Fig. 33. Department analysis of the lost time.

Fig. 34. Department analysis of the lost time per event.

Fig. 35. Department analysis of the number of stuck pipe events per period.

Fig. 36. Department analysis of the number of wells with stuck pipe troubles per period.

Trend Analysis. This analysis identifies the comparison of the occurrence of the event by period of time, which can be done monthly, quarterly or yearly, based on the selections on the general input and the secondary input,

e.g., doing an analysis of hole problems stuck pipe. Several charts can be generated, Figs. 35 to 40.

ADAT can also run additional analysis with filters by rig and by field.


Fig. 37. Department analysis of lost time per period.

Fig. 38. Duration analysis of the stuck pipe incidents.

Fig. 39. Depth analysis of the stuck pipe incidents.

Fig. 40. Analysis of incidents based on hole size.

Analysis by Provider This submodule’s objective is to perform analysis to identify the lost time event associated with tool failures based on the provider of the tool.

Under this submodule, several different types of analysis can be run.

Company Analysis. This analysis identifies then compares the occurrence of the event between departments, based on the selections of the general input and the secondary input; e.g., by doing an analysis of directional drilling tools, several graphs can be generated, Figs. 41 to 43.


Fig. 41. Company analysis of the number of events.

Fig. 42. Company analysis of lost time per provider.

Fig. 43. Company analysis of the lost time per event.

Fig. 44. Analysis of directional drilling tools.

Trend Analysis. This analysis identifies and compares the occurrence of the event by period of time. It can be done monthly, quarterly or yearly, based on the selec-

tions of the general input and the secondary input, e.g., doing an analysis of directional drilling tools, Fig. 44.


Fig. 45. Analysis of incidents based on duration.

Fig. 46. Analysis of incidents based on their depth.

Fig. 47. Analysis based on hole size.

Per Duration Analysis. This analysis identifies the incidents based on its duration, Fig. 45. Per Depth Analysis. This analysis identifies the incidents based on its depth, Fig. 46. Per Hole Size Analysis. This analysis identifies the incidents based on its hole size, Fig. 47.

ADAT SCPA The third module of ADAT, the SCPA, has the objective to generate statistics and identify the performance of the different service companies.

This module consists of two submodules:

1. Analysis per company 2. Analysis per service

Analysis per Company This submodule’s objective is to perform analyses to identify the performance of any company (and its subsidiaries) in comparison with other similar companies.

Several types of analyses can be run within this submodule, Figs. 48 to 54. Analysis per Service This submodule’s objective is to perform an analyses to identify the performance of the companies that supply the same service, e.g., directional drilling, cementing, artificial lift, fishing, drilling fluids, etc.

Several types of analyses can be run under this submodule, Figs. 55 to 59.


Fig. 48. Analysis of lost time percentage per company.

Fig. 49. Analysis of lost time per well per company.

Fig. 50. Analysis of lost time contribution per company.

Fig. 51. Analysis of company efficiency.


Fig. 52. Analysis of operating time and lost time per company.

Fig. 53. Analysis of sub-company’s lost time contribution.

Fig. 54. Analysis of sub-company’s efficiency.

Fig. 55. Analysis of lost time percentage per company.


Fig. 56. Analysis of lost time per well by company.

Fig. 57. Analysis of lost time contribution per company.

Fig. 58. Analysis of the efficiency of each company.

ADAT BPA The BPA is the final module within ADAT, with an objective to analyze the performance of the drilling bits to help drilling engineers in the bit selection process.

It includes a unique criterion to calculate cost per foot (CPF) and update the Saudi Aramco database to provide accurate information. The BPA permits the drilling engineer to define the best bit to be used based on three different criteria: lower CPF, best rate of penetration (ROP), and longest footage, under specific

conditions, such as: depth, diameter, inclination, field, kind of well, etc. In addition, the BPA helps to identify expectations to evaluate a new proposed bit and to evaluate the results of the trial test runs.

This module consists of four submodules:

1. Analysis per run 2. Analysis per hole section (casing point to casing

point analysis) 3. Well record 4. Bit history


Fig. 59. Analysis of operating time and lost time per company.

Fig. 60. Analysis of the bit run based on general input.

Table 2. Analysis of the best five bit runs based on CPF criterion.

Analysis per Run This submodule’s objective is to perform an analysis of the bit run based on the general input and additional information required, Fig. 60, such as:

Top depth

Bottom depth

Minimum footage

Top formation

Bottom formation

Inclination at the top

Inclination at the bottom

Dog leg severity

Drilling system (conventional, motor, RSS, motorized RSS, turbine)

New bit or used bit

Bit class This analysis generates the best five bit runs based

on three different criteria, Tables 2 to 4.

Lower CPF

Higher ROP

Longest footage

Best 5 Runs Based on CPF Criterion

Run # Well Rig Driling Type Well Type Well Fluid Bit ModelIADC

CodeBit Class Comp. Serial Run Date Drilling System Lateral ROP Footage KPI Hours Depth In Depth Out CPF

1 Well-AA 095TE PWI Vertical Oil RSR613M M332 PDC REED E162018 10/12/2012 RSS 0-1-1 59.68 5,282 315,230 88.50 16192.00 21474.00 36.44

2 Well-BB NBR115 PWI Horizontal Oil FMF3641 M323 PDC SEC 12068364 11/4/2012 RSS 0 56.78 7,466 423,919 131.50 17158.00 24624.00 41.22

3 Well-CC PD-799 PWI Horizontal Oil RSX613S 332 PDC REED 220614 11/20/2010 RSS 0 48.10 8,393 403,703 174.50 23743.00 32136.00 43.09

4 Well-DD 095TE PWI Horizontal Oil RSR613M M332 PDC REED E162018 3/24/2013 RSS 0-1 52.03 5,099 265,301 98.00 22521.00 27620.00 43.11

5 Well-EE PD-799 PWI Horizontal Oil HCM406 M333 PDC HTC 7900408 3/19/2010 RSS 0 51.68 5,271 272,405 102.00 16179.00 21450.00 48.79

Avg. 53.00 6,302 336,112 118.90 19158.60 25460.80 42.49


Table 3. Analysis of the best five bit runs based on ROP criterion.

Table 4. Analysis of the best five bit runs based on footage criterion.

Fig. 61. Analysis for the bit per hole section.

Based on this information, drilling engineers are able

to select the best bit to be used on their wells. Analysis per Hole Section (Casing Point to Casing Point Analysis) This submodule’s objective is to perform analyses based on the general input and additional information required, Fig. 61, such as:

Top depth

Bottom depth

Inclination at top

Inclination at bottom

Dog leg severity

This analysis will provide the overall performance of the bit used to drill a whole section. It helps to determine the optimum number of bits to be used, their type and model.

This analysis generates the best five bit wells based on two different criteria, Tables 5 and 6.

Lower CPF

Higher ROP Well Record This module is used to generate a report of the bit record of a specific well, Table 7.

Best 5 Runs Based on ROP Criterion



1 Well-AA 095TE PWI Vertical Oil RSR613M M332 PDC REED E162018 10/12/2012 RSS 0-1-1 59.68 5,282 315,230 88.50 16192.00 21474.00 36.44

2 Well-FF ENS-96 PWI Horizontal Water FMF3641 M432 Diamond SEC 12143318 1/21/2013 RSS 0 56.80 5,197 295,190 91.50 20048.00 25245.00 154.91

3 Well-BB NBR115 PWI Horizontal Oil FMF3641 M323 PDC SEC 12068364 11/4/2012 RSS 0 56.78 7,466 423,919 131.50 17158.00 24624.00 41.22

4 Well-GG ENS-96 PWI Horizontal Water M513 M333 PDC SMT JG5810 3/15/2013 RSS 1 55.38 7,089 392,589 128.00 15821.00 22910.00 145.15

5 Well-DD 095TE PWI Horizontal Oil RSR613M M332 PDC REED E162018 3/24/2013 RSS 0-1 52.03 5,099 265,301 98.00 22521.00 27620.00 43.11

Avg. 56.06 6,027 338,446 107.50 18348.00 24374.60 84.76

Best 5 Runs Based on Footage Criterion



1 Well-HH MP-1 PWI Horizontal Oil RSR613M M332 Diamond REED E162024 2/8/2013 RSS 0 42.94 10,005 429,615 233.00 16335.00 26340.00 175.26

2 Well-II 088TE PWI Horizontal Oil RSR613M M332 Diamond REED E162017 10/16/2012 RSS 0 39.79 8,674 345,138 218.00 16342.00 25016.00 53.85

3 Well-CC PD-799 PWI Horizontal Oil RSX613S 332 PDC REED 220614 11/20/2010 RSS 0 48.10 8,393 403,703 174.50 23743.00 32136.00 43.09

4 Well-JJ PD-799 PWI Horizontal Oil RSX613S 517 PDC REED 215689 4/20/2008 RSS 0-1-1-1 35.12 8,008 281,241 228.00 17945.00 25953.00 60.47

5 Well-KK SSA102 PWI Horizontal Oil HCM406 M333 PDC HTC 7900985 4/28/2011 RSS 0 31.90 7,655 244,195 240.00 18280.00 25935.00 66.17

Avg. 39.08 8,547 340,778 218.70 18529.00 27076.00 83.61


Table 5. Analysis of the five best bit wells based on CPF criterion.

Table 6. Analysis of the five best bit wells based on ROP criterion.

Table 7. Report of the bit record of a specific well.

Table 8. Report of use of each bit based on its serial number.

Well # WellNumber of

RunsStart Date

Min

Depth In

Max Depth

Out

Total

FootageTotal Hours Total ROP Total CPF

1 Well-A 1 12/12/2012 5475.00 9360.00 3885.00 107.50 36.10 57.75

2 Well-B 2 10/5/2012 4575.00 9860.00 5285.00 89.00 59.40 66.57

3 Well-C 2 1/27/2012 4640.00 9410.00 4770.00 97.50 48.90 74.44

4 Well-D 2 12/26/2011 4740.00 9540.00 4800.00 88.00 54.50 75.46

5 Well-E 2 11/11/2011 5030.00 9870.00 4840.00 113.50 42.60 77.86

Avg. 4716 99.1 47.588295 70.415

Best 5 Runs Based on CPF Criterion

Well # WellNumber of

RunsStart Date

Min

Depth In

Max Depth

Out

Total

FootageTotal Hours Total ROP Total CPF

1 Well-B 2 10/5/2012 4575.00 9860.00 5285.00 89.00 59.40 66.57

2 Well-F 3 12/28/2012 4830.00 10049.00 5219.00 95.50 54.60 95.37

3 Well-D 2 12/26/2011 4740.00 9540.00 4800.00 88.00 54.50 75.46

4 Well-G 3 11/25/2011 5040.00 9815.00 4775.00 92.00 51.90 78.10

5 Well-H 3 7/12/2011 4748.00 9935.00 5187.00 100.50 51.60 99.05

Avg. 5053.2 93 54.335484 82.9106

Best 5 Runs Based on ROP Criterion

Run # Lateal Rig Name Bit Size Bit ModelIADC

CodeBit Class Bit Company Run Date Flow Area Depth In Depth Out Footage Hours ROP CPF WOB RPM GPM Bit Grading

1 0 PD-174 34.0000 L3A 111 Rollercone VAR 4/26/2012 1.84 50.00 550.00 500.00 26.00 19.23 201.90 45.00 100.00 814.00 0-1-WT-A-0-0-

2 0 PD-174 28.0000 GTXC311 445 Rollercone HTC 4/28/2012 0.92 550.00 2108.00 1558.00 34.00 45.82 78.39 52.00 90.00 1165.00 1-1-WT-A-0-0-

3 0 PD-174 22.0000 GS12VEJ 435X Rollercone SMT 5/3/2012 1.08 2108.00 4478.00 2370.00 35.50 66.76 51.48 60.00 120.00 1137.00 2-3-WT-A-E-0-

4 0 PD-174 16.0000 ETR14JM 435 Rollercone VAR 5/8/2012 1.12 4478.00 4494.00 16.00 1.00 16.00 2445.56 45.00 50.00 900.00 ?-?-?-?-?-0-?-?

5 0 PD-174 16.0000 DSR816M M433 PDC REED 5/9/2012 1.57 4494.00 4494.00 0.00 0.00 0.00 0-0-NO-A-0-0-

6 0 PD-174 16.0000 DSR816M M433 PDC REED 5/11/2012 1.57 4494.00 9640.00 5146.00 103.00 49.96 67.80 53.00 104.00 1018.00 2-3-CT-S-X-0-?-

7 0 PD-174 12.0000 20GMS 517 Rollercone SMT 5/21/2012 0.92 9640.00 9650.00 10.00 1.00 10.00 4794.80 30.00 101.00 783.001-1-WT-A-E-0-

?-BHA

8 0 PD-174 12.0000 SFJT S323 PDC SEC 5/23/2012 1.62 9650.00 11272.00 1622.00 82.00 19.78 162.99 41.00 118.00 858.001-2-CT-T-X-?-?-

TD

9 0 PD-174 12.0000 SFJT S323 PDC SEC 5/29/2012 1.62 11272.00 11272.00 0.00 0.00 0.00 0.00 0.00 885.001-2-CT-T-X-?-?-

BHA

10 0 PD-174 8.3750 GTXG3 135 Rollercone HTC 6/2/2012 0.75 11272.00 11282.00 10.00 0.50 20.00 3030.14 885.001-1-WT-A-E-?-

?-BHA

11 0 PD-174 8.3750 MKS76W M323 Rollercone VAR 6/4/2012 1.18 11282.00 12600.00 1318.00 65.00 20.28 122.53 24.00 183.00 518.008-8-CR-S-X-?-?-

PR

12 0 PD-174 8.3750 FMH3655 M433 PDC SEC 6/8/2012 1.11 12622.00 13350.00 728.00 44.50 16.36 227.97 28.00 221.00 508.001-1-RR-A-X-?-?-

TD

13 0 PD-174 8.3750 FMH3655 M433 PDC SEC 6/13/2012 1.11 13350.00 13350.00 0.00 0.00 0.00 0.00 560.001-1-RR-A-X-?-?-

TD

14 0 PD-174 8.3750 FMH3655 M433 PDC SEC 6/14/2012 1.11 13350.00 13350.00 0.00 0.00 0.00 0.00 540.001-1-RR-A-X-?-?-

TD

BIT/NBRR/15 X 6.5''DC/ JAR/2 X 6.5" DC/ 15 X 5.5"

HWDP11848660

2300.00BIT/NBRR/15 X 6.5''DC/ JAR/2 X 6.5" DC/ 15 X 5.5"

HWDP11848660

3000.00BIT/STAB/MOTOR/BS/STRR/MWD/FILTER

SUB/STRR/15 X 6.5" DC/JAR/2 X 6.5" DC/XO/15 X 6009163

3145.00BIT/RNBS/MOTOR/FS/STRR/MWD/FILTER

SUB/STRR/15 X 6.5" DC/JAR/2 X 6.5" DC/XO/15 X 11848660

BIT/ NBRR/ 1X8.5" DC/ STRR/ 2 X 8.5" DC/ STRR/ 12

X 8.5" DC/ JAR/ 2 X 8.5" DC/ XO/ 15 X 5.5" HWDP11976463

BIT/2 X JUNK SUB/BS/15 X 6.5" DC/JAR/2 X 6.5"

DC/XO/15 X 5.5" HWDPZ593RT

2067.00BIT/2 X JUNK SUBS/BS/12 X 8.5" DC/JAR/2 X 8.5"

DC/XO/15 X 5.5" HWDPPW0259

3142.00BIT, STAB, MOTOR, STRR, 1 X 8 1/2" DC, STRR, 15X 8

1/2 DC, JAR, 2 X 8 1/2" DC, XO, 15 X 5 1/2" HWDP11976463

16" PDC BIT + BLCK BOX + MOTOR + SUB FLOAT + E152042

2308.00 BIT/STAB/MOTOR/FS/BB/STRR/1 X 10" DC/STRR/9 X E156839

2167.00 BIT/NBRR/SHOCK SUB/STRR/1 X 10" DC/STRR/3 X PW0181

1200.00 16" BIT - 2X JS - NBRR - 5 X 10" DC - XO - 9 X 8.5" DC - 1257656

300.00 34" BIT,1297803

2127.00 BIT+NBRR+SS+STRR+DC+STRR+4X10"DC+XO+9X8 Z503RT

Serial SPP BHA

Bit Runs

Run # Well RigDriling

TypeWell Type

Well

FluidLateral

Mud

WeightROP Footage KPI Hours Depth In Depth Out CPF TFA BHA Bit Grading

Inc. At

Top

Inc. At

Bottom

Offshore/

Onshore

1 Well-A Rig-1 PML Horizontal Oil 0 74 29.88 1,285 38,396 43.00 7697.00 8982.00 277.10 0.90BIT.ATK.MM.BCPM.STB.MWD.NMSS.DP

COMP.FS.1 HWT.JAR.4 HWT.48 DP.21 HWT1-2-CT-S-X-?-?-TD 88.40 90.99 Offshore

2 Well-B Rig-2 PHZ Horizontal Oil 0 80 15.30 413 6,319 27.00 7034.00 7447.00 260.42 0.908.5" BIT,MTR, NMCSDL, MWD, NMCSDP,

37X5"HWDP, JAR, 7X5" HWDP.1-1-WT-A-X-0-?-TD 66.14 81.00 Onshore

3 Well-C Rig-3 PWI Horizontal Water 0 63 15.26 2,289 34,930 150.00 5681.00 7970.00 127.93 0.90

8.5" BIT, MTR, S. STRING, NMDC, MWD,

COMP. FILTER SUB, 24" X 5" HWDP, JAR, 9 X 5"

HWDP

?-?-?-?-?-?-?-? 2.62 83.16 Onshore

4 Well-D Rig-4 PML Horizontal Oil 0 74 50.99 1,708 87,091 33.50 6398.00 8106.00 166.86 1.01

BIT*ATK STAB*MOD MTR*BCPM*MWD

STAB*ONTRAK*NM TS*DC*DP COMP*NM

FS*FS*3XHWDP*48DP*4HWDP*JAR*1HWDP

1-1-NO-A-X-?-?-TD 41.50 90.09 Offshore

5 Well-E Rig-5 PHZ Horizontal Oil 0 74 37.89 1,686 63,883 44.50 6122.00 7808.00 212.52 1.01

BIT*ATK STAB*MOD MTR*BCPM*MWD

STAB*ONTRAK MWD*NMSS*NMDC*DP

COMP*NMFS*FS*3HWDP*48DP*4HWDP*JAR

*1HWDP.

1-1-WT-A-X-?-?-TD 32.84 89.35 Offshore

6 Well-F Rig-6 PML Horizontal Oil 0 73 35.44 1,524 54,011 43.00 6175.00 7699.00 219.56 0.90 BIT PDC.ATK.FS.BCPM.STB MOD.MWD.MM.DP

COMP.FS.1 HWT.JAR.4 HWT.48 DP.21 HWT

1-1-NO-A-X-?-?-DTF 43.90 88.42 Offshore

Avg. 26.11 8,905 47,438 56.83 6517.83 8002.00 210.73

Run Date

3/8/2013

11/5/2004

3/13/2005

12/31/2012

1/7/2013

3/4/2013

RERUN?

USED

NEW

NEW

USED

USED

USED


Bit History This module allows users to trace the use of a bit based on its serial number, Table 8.

RESULTS 1. After the implementation of ADAT within Saudi

Aramco, it has become the most used analysis tool, with the number of D&WO users exceeding 200 and an average of 4,800 analyses run per month.

2. The potential savings as a result of the ADAT

optimizations for bit selection, mitigation of hole problems, and reduction of planning time, exceeds $30 MM per year.

CONCLUSIONS 1. ADAT is a Web application, which can retrieve the

desired drilling data from the Saudi Aramco corporate database and yield sophisticated analysis reports in a fraction of the time, employing well engineered and carefully designed SQL queries.

2. Utilizing ADAT effectively, the drilling engineers at

Saudi Aramco have reduced the drilling CPF, mitigated hole problems, minimized the tool/ equipment failures, and benchmarked new technologies.

3. ADAT is used consistently by drilling operations

teams, within all of the Saudi Aramco drilling departments; from offshore to onshore applications, including Exploration, Development, Workover and unconventional wells.

BIOGRAPHIES William Contreras Otalvora is a Senior Drilling Engineer with Saudi Aramco’s Drilling Technical Department. He has 22 years of experience in the oil industry. Prior to joining Saudi Aramco in 2009, William worked with several different companies, including PDVSA in

Venezuela, PEMEX in Mexico, and Halliburton in several countries within Latin America, working in diverse positions, such as Drilling Engineer, Drilling Supervisor, Drilling Engineering Manager, Drilling Manager and Consultant.

He received his B.S. degree in Mechanical Engineering from the University of Los Andes, Merida, Venezuela, and his M.S. degree in Petroleum Engineering from the University of Tulsa, Tulsa, OK.

Ramzi S. Ali Al-Ghamdi joined Saudi Aramco in December 1996 as a Petroleum Engineer working with drilling and workover. He is currently working in the Drilling Technical Department as a Supervisor for the Information Analysis and Integration Unit.

In 1995, Ramzi received his B.S. degree in Petroleum Engineering from King Saud University, Riyadh, Saudi Arabia.

Murtadha M. Al Hubail is a Petroleum Engineering Systems Analyst. Since joining Saudi Aramco in March 2010, he has developed many applications that support and optimize drilling operations. Murtadha has also worked on several projects related to real-time drilling systems as well as drilling

scheduling systems. In 2010, Murtadha received his B.S. degree in

Software Engineering from King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia.

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