Well Log Conditioning, Seismic Petrophysics and Rock Physics with PowerLog and HampsonRussell RockSI Course

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PowerLog Fundamental of Petrophysics

Course Benefit

• Better understanding of petrophysical properties and wellbore environment
• Participants will be able to extract key pieces of information about drilling conditions
• Understanding on different information sources and preparing data inventory
• Combination of theory and practical exercises using PowerLog software
• At the conclusion of the course, participants should be better idea on logging process, tool physics and gathering key information for petrophysical evaluation

PowerLog Log data QC, Analysis and Conditioning

Course Benefit

• Covers both theory and exercise for log data QC, analysis and conditioning
• Better understanding on log QC process using logplots, crossplots and histograms
• Participants will gain understanding on Seismic Petrophysics data quality requirements
• Combination of theory and practical exercises using PowerLog software
• At the conclusion of the course, participants should be better at evaluating the quality of the logs, condition the well data and directly go for formation evaluation to be further used for Rock Physics Modeling.

PowerLog Petrophysical Interpretation

Course Benefit

• Covers both theory and exercise for several aspects to petrophysical evaluation
• Participants will gain understanding on different methods of petrophysical volumes computation
• Seismic Petrophysics understanding for better inversion results
• Combination of theory and practical exercises using PowerLog software
• At the conclusion of the course, participants should be better at interpreting petrophysical volumes and understand the importance of iterative petrophysics and rock physics workflow

HampsonRussell Introduction to Rock Physics

Course Benefit

• Course covers basic to advance rock physics topics with theory and exercises
• Better understanding on data preparation and QC for Rock Physics Modeling
• Exposure to different rock physics models- both empirical and physical models
• Step by step methodology explained starting selection of rock physics model and QC output results
• At the conclusion of the course, participants should be better at evaluating the petrophysical volumes for rock physics and identify the most suitable model for their live projects

HampsonRussell Rock Physics Modeling in RockSI

Course Benefit

• Step by step methodology explained starting selection of Rock physics model, QC output results, Rock Physics template generation and scenario modeling 
• Consists of both lectures and hands-on exercises, using the RockSI module of HampsonRussell.
• At the end of the course, participants will be able to predict quality Rock Physics Modeled elastic logs, perform uncertainty analysis and fluid substitutions

Audience

Geoscientists who wish to perform well log conditioning, seismic petrophysics interpretation and rock physics modeling study in order to provide superior elastic and reservoir property log data for seismic reservoir characterization, interpretation and analysis

Content

Day 1
Preparing data inventory and information gathering 
Extracting key information from geological, completion and core reports
Introduction to PowerLog software

Day 2
Identify bad data in logs
Log data Splicing and Depth Shifting
Multi-well analysis and Normalization
Synthetic curve generation and log conditioning

Day 3
Basics of Petrophysical interpretation
Deterministic Petrophysical computation (Vclay, Porosity and Water Saturation)
Preparing data for Rock Physics Modeling

Day 4
Statistical Petrophysical volume computation (Multi-min)
Preparing multi-min data for Rock Physics Modeling

Day 5
Rock Physics Introduction
Rock Physics Diagnostics
Introduction to RockSI

Day 6
Rock Physics laws and bounds 
Effective Medium Models
Monte Carlo simulation

Duration: 6-days

Software used: PowerLog, HampsonRussell RockSI

Course Format: Instructor-led, workflow-based, classroom training

Instructor(s): TBD

Number of Participants: 14

Price

US$5,400

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Contact: Mona Hamzah 
monaliza.hamzahsani@cgg.com

Terms and Conditions

• Training placements will only be confirmed upon receipt of official company purchase order (PO) or confirmation of successful credit card payment.
• In case of booking by credit card, full payment will be required in advance of the course attendance and processed in USD. Payment made is non-refundable. You may substitute participant at zero penalty if written notice is received at least 5 days prior to the commencement date of the course.
• In case of booking by company PO, invoice will be submitted following course attendance.
• Invoice may be issued by another CGG entity as CGG deems fit and not necessarily the CGG entity providing the course.
• Invoice is payable within 30 days from the date of the invoice.
• Price is net of any applicable tax and payment must be made in the specified currency.
• All courses are subject to CGG having received sufficient registration for convening the course, and CGG GeoSoftware reserves the right to change, postpone or cancel any course. In such event, advance notification will be given to Participants.