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Aims

Participants will learn how to organise data, plan and report petrophysical studies. The integration of log and core datasets to describe the variation and distribution of reservoir properties in multiple wells will also be covered.

Advanced options for petrophysical interpretation including mineral volume methodologies, shaly sand and thin bed techniques are examined. The principles of NMR logging and its application to speci�c interpretation challenges will also be covered.

Bene�ts

You will learn:

• How petrophysical data is managed and stored• How to plan and report petrophysical studies• Computerised deterministic interpretation work�ows• The crucial role of porosity in interpretation• Calibration of log porosity to core data• Derivation of saturation-height functions from log or core data• Derivation of core based log permeability predictors• How to recognise where advanced interpretation methods are needed

• Shaly sand analysis• Thin bed/ low resistivity pay interpretation• Use of log based facies/classi�cation to improve interpretations• Probabilistic multi-mineral interpretation• Characteristics and interpretation of NMR logs

Who should attend?

Petrophysicists and others involved in the oil and gas subsurface management life cycle, with experience in formation evaluation or candidates who have previously attended LR’s Deterministic Petrophysics course, who wish to deepen their practical knowledge and understanding of advanced petrophysical interpretation methods and advanced logging tools.

Duration – 5 days

Course instructor

Ed is Discipline Head of Petrophysics at Lloyds Register (LR) and holds a BEng (Hons) Chemical Engineering from Nottingham University and a MSc Reservoir Evaluation and Management from Heriot Watt University. He has a broad background encompassing operations, training, technology, software and consultancy.

Following graduation from Nottingham University in 1996, Ed joined Western Atlas (now Baker Hughes) as a wireline �eld engineer gaining operational experience in the North Sea, US, West Africa and the South Atlantic. On leaving the �eld he spent 3 years as a �eld engineer training instructor in Scotland before moving to Baker Hughes’ Technology Center in Houston as a technology transfer engineer with a focus on formation testing and sampling.

Ed subsequently moved into the consultancy undertaking petrophysical �eld studies and support, and took on the role of Team Lead. After a brief move to Baker Hughes as a Senior Petrophysical Advisor supporting advanced petrophysics products (wireline and LWD), he returned to LR as Discipline Head of Petrophysics.

Ed is also the Technical Manager for our MSc Petrophysics and Formation Evaluation Programme in association with the University of Aberdeen. Having developed and delivered several of the associated modules for the MSc.

Advanced Petrophysics

Training

Aims

Participants will learn how to organise data, plan and report petrophysical studies. The integration of log and core datasets to describe the variation and distribution of reservoir properties in multiple wells will also be covered.

Advanced options for petrophysical interpretation including mineral volume methodologies, shaly sand and thin bed techniques are examined. The principles of NMR logging and its application to speci�c interpretation challenges will also be covered.

Bene�ts

You will learn:

• How petrophysical data is managed and stored• How to plan and report petrophysical studies• Computerised deterministic interpretation work�ows• The crucial role of porosity in interpretation• Calibration of log porosity to core data• Derivation of saturation-height functions from log or core data• Derivation of core based log permeability predictors• How to recognise where advanced interpretation methods are needed

www.lr.org/oilandgas

For more information on how we can support your business please visit www.lr.org/oilandgas, contact us at oilandgas@lr.org or call +44 (0) 1224 213440

Lloyd’s Register is a trading name of Lloyd’s Register Group Limited and its subsidiaries.For further details please see www.lr.org/entities© Lloyd’s Register Group Limited 2016

• Shaly sand analysis• Thin bed/ low resistivity pay interpretation• Use of log based facies/classi�cation to improve interpretations• Probabilistic multi-mineral interpretation• Characteristics and interpretation of NMR logs

Who should attend?

Petrophysicists and others involved in the oil and gas subsurface management life cycle, with experience in formation evaluation or candidates who have previously attended LR’s Deterministic Petrophysics course, who wish to deepen their practical knowledge and understanding of advanced petrophysical interpretation methods and advanced logging tools.

Duration – 5 days

Course instructor

Ed is Discipline Head of Petrophysics at Lloyds Register (LR) and holds a BEng (Hons) Chemical Engineering from Nottingham University and a MSc Reservoir Evaluation and Management from Heriot Watt University. He has a broad background encompassing operations, training, technology, software and consultancy.

Following graduation from Nottingham University in 1996, Ed joined Western Atlas (now Baker Hughes) as a wireline �eld engineer gaining operational experience in the North Sea, US, West Africa and the South Atlantic. On leaving the �eld he spent 3 years as a �eld engineer training instructor in Scotland before moving to Baker Hughes’ Technology Center in Houston as a technology transfer engineer with a focus on formation testing and sampling.

Ed returned to the UK to undertake a MSc at Heriot Watt. On completion he joined Senergy (now LR) as a software development petrophysicist for Interactive Petrophysics (IP), taking on the additional responsibility of Customer Support Manager when Schlumberger SIS ended a relationship to provide technical support for IP.

Ed subsequently moved into the consultancy undertaking petrophysical �eld studies and support, and took on the role of Team Lead. After a brief move to Baker Hughes as a Senior Petrophysical Advisor supporting advanced petrophysics products (wireline and LWD), he returned to LR as Discipline Head of Petrophysics.

Ed is also the Technical Manager for our MSc Petrophysics and Formation Evaluation Programme in association with the University of Aberdeen. Having developed and delivered several of the associated modules for the MSc.

Course description

The course will be conducted using a combination of lectures, demonstrations, interactive learning and paper/calculator-based interpretation exercises.

Introduction

Organising petrophysical work

• Petrophysical databases, data organisation and work�ows• Guidelines for petrophysical studies and reporting

Porosity the base of the petrophysical model

• Considerations in choosing to model total or effective porosity• Porosity parameter determination• Overburden stress estimation and porosity compaction correction• Porosity calibration to core

Log permeability prediction

• Correction of core permeability to reservoir conditions• Core based log permeability predictors• Linear and multi-linear regression analysis• Neural nets, fuzzy logic and cluster analysis

Saturation height functions

• Log based saturation-height functions• Capillary pressure based saturation- height functions

Mineral volume methods

• Advantages and disadvantages of mineral volume approach• Deterministic mineral volume methods• Matrix solution for multi-mineral petrophysics• Core calibration

Reservoir quality controls and rock typing methods

• Reservoir quality controls• Geological rock types, facies, lithotypes• Classi�cation methods including FZI and RQI• Rock type prediction from logs• Truth tables

Shaly sand analysis

• Understand when a shaly sand approach is appropriate• Shaly sand interpretation options• Core analysis data requirements• Impact on porosity, water saturation and permeability

Thin bed analysis

• Introduction to thin beds and low resistivity pay• Thin bed interpretation techniques including Thomas-Stieber• Resistivity anisotropy

NMR logging tool interpretation techniques

• NMR tool physics• NMR interpretation options including �uid typing and saturations