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ICTD International Centre for Training and Development

Integrated Reservoir Modeling

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Description

This five day interactive and practical course will help participants to use geological modeling to produce realistic volumetric estimations for hydrocarbon reservoirs. It will show how new operational data and revised interpretations, such as a new well or a recently discovered fault, can be identified and incorporated into models at any point in the workflow.

This course will introduce the procedures and workflow for building a 3D model, regardless of the software available to the modeling team. In other words, this will be an attempt at a best practice approach to a complex and varied workflow. There will be a particular emphasis on integrating static and dynamic reservoir properties with the geological facies model. Exercises will be done using industry standard modelling software (PETREL), although it should be emphasized that the purpose of the course is methodology and not software operation.

Relevant industry case studies and practical applications will be reviewed throughout the course. Participants will gain an understanding of the key challenges associated with building effective 3D reservoir models from interpretation and design to quality assurance and optimization of results.

Participants will understand the science and workflows behind building consistent 3D reservoir models including fluid distribution, permeability, compartments and volumetric estimation. They will learn how integrate data from cores and logs and how to upscale this data into geological and flow simulation models that will have a high impact on field development and production scenarios.

Course Objectives

Upon successful completion of this course, the delegates will be able to:

  • Learn the state of the art technology in Integrated Reservoir Modeling from development of fine scale geological model into upscaling of dynamic flow simulation model
  • Understand the overall workflow process and master the techniques for reservoir modeling based on example of actual field data
  • Know how to generate and rank multiple realizations to capture various uncertainties for volumetric calculations,
  • Learn how to design of optimum upscaling level and appropriate technique for upscaling of reservoir properties
  • Understand the importance of multiple models for integration of production data during history matching process
  • Learn how to use computers and software to generate reservoir model

Course Outline

Day 1

Introduction

  • Overall Workflow of Integrated Reservoir Modeling
  • Review of Geostatistics

Static Geological Modeling

  • Structure Framework Modeling
  • Fault Modeling
  • Areal Gridding
  • Horizon, Zonation, and Fine Vertical Layering
  • Scale Up Well Logs
  • Role of Rock Typing
  • Relationship between Geological Facies and Rock Type
  • Integration of Geological Facies and Petrophysics for Rock Type Scheme
  • Rock Type Scheme and Dynamic Model

Day 2

  • Static Geological Modeling (continuation)
  • 3D Facies Modeling
  • Methodology : SIS, TGS, MPS
  • Hierarchical Facies Modeling Approach
  • Integrating Conceptual Geological Model and Other Trend
  • 3D Porosity Modeling
  • Methodology : Co-Simulation of Porosity and Facies Modeling
  • Integration of Seismic Attributes
  • Deterministic Inversion
  • Stochastic Inversion
  • 3D Permeability Modeling
  • Methodology : Linear Regression vs. Co-Simulation Approach
  • Integration of Engineering Data (Well Test and Production Test) to Improve Permeability Model
  • 3D Saturation Modeling
  • -Methodology : Capillary Pressure, J-Function and Sw-log Integration
  • Volumetric Calculation

### Day 3

Introduction to Uncertainty Analysis with Experimental Design

  • Workflow
  • Sensitivity Analysis
  • Uncertainty Analysis
  • Proxy Modeling

Day 4

Upscaling

  • Introduction to Upscaling
  • Design of Vertical Upscaling Level using analytical and numerical methods
  • Upscaling of Reservoir Properties (Facies, Porosity, and Permeability)
  • Transmissibility Adjustment for Maintaining Fine Scale Heterogeneity

Day 5

Integration of Production Data through History Matching Process

  • Introduction to Flow Simulation
  • Achieving Objective of History Matching
  • Assisted and Automatic History Matching
  • Quantifying the Uncertainty

Course Methodology

A variety of methodologies will be used during the course that includes:

  • (30%) Based on Case Studies
  • (30%) Techniques
  • (30%) Role Play
  • (10%) Concepts
  • Pre-test and Post-test
  • Variety of Learning Methods
  • Lectures
  • Case Studies and Self Questionaires
  • Group Work
  • Discussion
  • Presentation

Who should attend

This course is intended for all geologists, geophysicists and reservoir engineers involved in subsurface reservoir characterization and who wish to know how to derive geologically robust framework models and how to populate them with meaningful reservoir properties. Participants should include Geologists, Geophysicists, Petrophysicists, Reservoir Engineers, Drilling Engineers, and Seismic Interpreters.

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