This course provides a comprehensive, practical knowledge of reservoir characterization & modeling workflow, via hands-on activities and case studies with the aim of bridging the gap between static geological characterization and reservoir dynamic behavior.
Public :
Experienced geoscientists and reservoir engineers involved in multidisciplinary teams, willing to widen their knowledge in reservoir characterization and modeling.
Level :Knowledge
Prerequisite :
Experience in geoscience or reservoir engineering, with basic knowledge in reservoir characterization.
Course Content
WEEK 1: RESERVOIR CHARACTERIZATION TEST
INTRODUCTION TO RESERVOIR CHARACTERIZATION
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Duration : 1 Day
Reservoir characterization and modeling objectives.
Characterization and modeling workflows.
Data types, representativeness and related uncertainty.
Challenges of data integration.
RESERVOIR ARCHITECTURE
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Duration : 1.5 Days
Seismic interpretation method and pitfalls. Hands-on: case study.
Well log analysis. Hands-on: quick-look analysis.
Static and dynamic information integration.
FACIES ANALYSIS - ROCK-TYPING
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Duration : 1.5 Days
Litho-facies analysis (core description and upscaling methods).
Introduction to rock-typing: principle of electro-facies and petro-facies analyses.
Statistical analysis of sedimentological data (VPC analysis).
PETROPHYSICS & ROCK PROPERTIES - RESERVOIR HETEROGENEITIES
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Duration : 1 Day
ROCK-TYPING & PROPERTY MODELING
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Duration : 1.5 Days
Scaling up logs. Comparison with rock-types.
Geostatistical tools.
Facies modeling. Rock-typing (EasyTrace™).
Petrophysical modeling.
Mapping result for QC: gross thickness, N-t-G, reservoir properties.
VOLUME CALCULATION
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Duration : 1 Day
Volumetrics: quantification of accumulation for selected parameters.
Sensitivity study on parameters.
Key parameters determination for risk assessment.
Final wrap up.
Learning Objectives
Attendees will be able to implement the following skills:
Provide a clear understanding of techniques and challenges related to reservoir modeling (focus on reservoir properties),
Build required competencies for analyzing datasets and constructing reliable static model,
Emphasize reservoir modeling main goal: reduce subsurface uncertainties (reduce risk and optimize investments).
Ways & Means
Interactive lectures, videos, practical exercises and hands-on activities with the aim of producing a reservoir model using dedicated software for rock-typing (EasyTrace™) and geomodeling (Petrel™).
Software used during workshops: with courtesy of Beicip-Franlab and Schlumberger.
Learning assessment
Knowledge assessment with multiple choice questions and open explanatory questions.
More
Coordinator :IFP Training instructors, with expertise in the field and trained in modern teaching methods adapted to the specific needs of learners from the professional world.
To French entities : IFP Training is referenced to DataDock ; you may contact your OPCO about potential funding.
Please contact our disabled persons referent to check the accessibility of this training program : referent.handicap@ifptraining.com