Petrophysical Properties: Core, Log & Test Data Integration for Reservoir Modeling
PETROD-EN-P
Who should attend?
This course provides a deep understanding of the methods used to measure reservoir petrophysical properties from cores, logs and well tests data and, ultimately, correlate and integrate results for reservoir characterization and modeling.
Public :
Petrophysicists, geologists, geophysicists and reservoir engineers.
Level :Skilled
Prerequisite :
Degree in geology, geophysics or reservoir engineering, or equivalent experience.
Course Content
RESERVOIR PROPERTIES FROM CONVENTIONAL & SPECIAL CORE ANALYSIS
Core studies.
Structure and properties of porous materials: porosity, permeability, grain density.
Saturation, wettability, relative permeability and capillary pressure.
Electrical properties (m and n exponents).
Real case study: petrophysical synthesis.
RESERVOIR PROPERTIES FROM LOG EVALUATION
Seals, reservoirs and fluid characteristics.
Wireline logging operations and logs.
Open hole log interpretation methodology.
Determination of reservoir properties from log interpretation: lithology, porosity and water saturation (case study).
Quantitative log analysis.
Core - Log correlation and comparison of petrophysical results to core data.
Permeability estimation from logs and core data.
Real case study.
ROCK-TYPING
Introduction to rock-typing and bases of electro-facies analysis.
Electrofacies identification techniques: non-supervised and supervised approach.
Connection with both geological and reservoir models building process.
Real case study: correlate, combine and integrate consistent information from logs, core description and petrophysics.
WELL TESTING
Well test introduction and generalities.
Well test interpretation methods.
Examples and type curves.
Real case study: well test interpretation and integration with petrophysics.
DATA INTEGRATION FOR RESERVOIR MODELING
Introduction to integration for reservoir modeling.
Geological model review: structural model, stratigraphic model and petrophysical model.
Reservoir, geological and petrophysical synthesis.
Gridding and upscaling.
Learning Objectives
Upon completion of the course, participants will be able to:
deduce reservoir properties from log interpretation and compare results to core measurements,
define rock-types, determine electro-facies and derive K-Phi relationship,
integrate cores, logs and well tests data for reservoir modeling.
Ways & Means
Real case study with cores, logs and well tests data.
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
IFPT Account
