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
Upon completion of the course, participants will be able to:
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 (permanent or contracted) expert in geomodeling with a wide experience and whose competencies are kept up-to-date in industry projects.
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