Petrophysical Well Data Evaluation

petrophysical well data evaluation

Course Description:

This course is designed to equip geoscientists and petrophysicists with a solid understanding
of petrophysical well data evaluation techniques, from basic well log interpretation to
advanced petrophysical analysis. Participants will learn key concepts such as porosity,
permeability, and fluid saturation, and apply industry-standard methods to estimate reservoir
properties. Practical exercises and case studies will provide hands-on experience, enabling
participants to integrate petrophysical data with geological and geophysical information for
comprehensive reservoir characterization.

Duration

5 Days

Target Audience

Petrophysicists
Geoscientists
Professionals involved in well data evaluation

Prerequisites

Basic understanding of geology and geophysics
Familiarity with well logging techniques

By the end of this course, participants will be able to

1-Understand Fundamental Petrophysical Concepts

Explain the significance of petrophysics in geosciences and reservoir studies.
Understand key petrophysical properties such as porosity, permeability, and fluid saturation,
and how they impact reservoir performance.

2-Interpret Well Logs for Reservoir Characterization

Identify and interpret basic well log curves, including gamma ray, resistivity, density, and
neutron logs.
Perform quality control on well log data to ensure accuracy and reliability in analysis.
Apply basic log interpretation techniques to identify lithology and fluid types within reservoirs.

3-Perform Advanced Petrophysical Analysis

Use advanced techniques such as cross plotting and multi-log analysis for in-depth reservoir
evaluation.
Estimate reservoir porosity, mineral volumes and water saturation from well log data.

4-Apply J-Function Modeling Techniques

Understand the principles of J-Function modeling and its applications in reservoir studies.
Use J-Function modeling to estimate fluid saturation from well log data and improve reservoir
characterization.

5-Integrate Petrophysical Data into Reservoir Models

Integrate petrophysical data with geological and geophysical information for a more
comprehensive reservoir evaluation.
Develop static and dynamic petrophysical models for reservoir management.
Analyze case studies and discuss real-world challenges in petrophysical data integration.

Participants will gain the ability to confidently evaluate and integrate well log data, providing valuable insights into reservoir properties and improving decision-making in oil and gas exploration and production.

SYLLABUS

Day 1: Introduction to Petrophysics

Overview of Petrophysics and Its Importance in Geosciences
Key Concepts: Porosity, Permeability, and Fluid Saturation
Types of Well Logs: Conventional vs. Special Logs
Understanding the Role of Petrophysical Data in Reservoir Characterization

Day 2: Well Log Interpretation Basics

Introduction to Well Log Curves: Gamma Ray, Resistivity, Density, and Neutron Logs
Techniques for Log Data Quality Control
Basic Log Interpretation: Identifying Lithology and Fluid Types
Practical Exercise: Interpreting Well Logs from Provided Datasets

Day 3: Advanced Petrophysical Analysis

Advanced Techniques: Cross plotting and Multi-Log Analysis
Estimating Porosity and Permeability from Well Logs
Understanding Water Saturation Models (Archie’s Equation, Simandoux Model)
Practical Exercise: Performing Advanced Log Analysis

Day 4: J-Function Modeling and Saturation Estimation

Introduction to J-Function Modeling: Concepts and Applications
Techniques for Estimating Fluid Saturation Using J-Function
Integrating J-Function with Well Log Data for Enhanced Analysis
Practical Exercise: Applying J-Function Modeling to Real Data

Day 5: Integration of Petrophysical Data

Integrating Well Data with Geological and Geophysical Information
Building Petrophysical Models: Static vs. Dynamic Models
Case Studies: Successful Integration of Petrophysical Data in Reservoir Studies
Group Discussion: Challenges in Data Integration