8th to 12th of May: Advanced Petrophysics in our Aberdeen offices, with Edward Downer as your instructor! Participants will learn how to organisedata, 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 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 specifc interpretation challenges will also be covered

1. Working together
for a safer world
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
specific interpretation challenges will
also be covered.
Benefits
You will learn:
• How petrophysical data is managed
and stored
• How to plan and report petrophysical
studies
• Computerised deterministic
interpretation workflows
• 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/classification 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
field engineer gaining operational
experience in the North Sea, US, West
Africa and the South Atlantic. On
leaving the field he spent 3 years as a
field 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.
Advanced Petrophysics
Training

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© Lloyd’s Register Group Limited 2016
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
field 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 workflows
• 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
• Classification 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
fluid typing and saturations