Training Course on Petrophysics for Complex and Unconventional Reservoirs

Course Title: Training Course on Petrophysics for Complex and Unconventional Reservoirs

Executive Summary

This intensive two-week petrophysics course focuses on the unique challenges posed by complex and unconventional reservoirs. Participants will delve into advanced logging techniques, core analysis integration, and petrophysical modeling tailored for shale, tight gas sands, and fractured reservoirs. The course covers advanced topics like digital rock physics, NMR interpretation, and geochemical logging. Through hands-on exercises and case studies, attendees will learn to accurately characterize reservoir properties, estimate hydrocarbon reserves, and optimize production strategies. This course bridges the gap between traditional petrophysics and the specific demands of unconventional resource development, enhancing the skills needed to maximize recovery and economic viability in these challenging environments.

Introduction

The development of complex and unconventional reservoirs, such as shale gas, tight oil, and coal bed methane, has revolutionized the energy industry. However, these reservoirs present unique challenges for petrophysical evaluation due to their heterogeneity, anisotropy, and complex pore systems. Traditional petrophysical methods often fall short in accurately characterizing these reservoirs. This course aims to equip participants with the advanced knowledge and skills necessary to perform comprehensive petrophysical analysis in complex and unconventional settings. The course emphasizes integrated workflows, combining data from well logs, core analysis, and geological models to provide a robust understanding of reservoir properties. Participants will learn to apply specialized techniques for shale petrophysics, fracture characterization, and fluid typing. By the end of this program, participants will be able to make informed decisions regarding reservoir evaluation, resource estimation, and production optimization in unconventional resource plays.

Course Outcomes

• Understand the petrophysical properties of complex and unconventional reservoirs.
• Apply advanced logging techniques for reservoir characterization.
• Integrate core analysis data with well logs for improved accuracy.
• Build petrophysical models tailored for shale, tight gas sands, and fractured reservoirs.
• Estimate hydrocarbon reserves in unconventional resource plays.
• Optimize production strategies based on petrophysical analysis.
• Utilize digital rock physics and NMR interpretation for enhanced reservoir understanding.

Training Methodologies

• Interactive lectures with real-world examples.
• Hands-on exercises using petrophysical software.
• Case study analysis of unconventional reservoirs.
• Group discussions and problem-solving sessions.
• Laboratory sessions on core analysis techniques.
• Guest lectures from industry experts.
• Field trip to a relevant facility (optional).

Benefits to Participants

• Enhanced understanding of petrophysical principles in unconventional reservoirs.
• Improved skills in applying advanced logging and core analysis techniques.
• Ability to build accurate petrophysical models for reservoir characterization.
• Increased confidence in estimating hydrocarbon reserves in complex settings.
• Knowledge to optimize production strategies and improve recovery rates.
• Expanded professional network through interaction with industry experts.
• Career advancement opportunities in the unconventional resource sector.

Benefits to Sending Organization

• Improved accuracy in reservoir evaluation and resource estimation.
• Enhanced ability to optimize production strategies and increase recovery rates.
• Reduced uncertainties in unconventional resource development projects.
• Increased efficiency in petrophysical workflows and data integration.
• Enhanced staff competency in advanced petrophysical techniques.
• Improved decision-making in investment and development planning.
• Increased competitive advantage in the unconventional resource market.

Target Participants

• Petrophysicists
• Reservoir Engineers
• Geologists
• Geophysicists
• Production Engineers
• Asset Managers
• Data Scientists

WEEK 1: Fundamentals and Advanced Logging Techniques

Module 1: Introduction to Unconventional Reservoirs

1. Overview of unconventional reservoirs (shale, tight gas, CBM).
2. Geological characteristics and depositional environments.
3. Challenges in petrophysical evaluation of unconventional reservoirs.
4. Differences between conventional and unconventional petrophysics.
5. Importance of integrated workflows.
6. Role of petrophysics in reservoir development.
7. Case study: Shale gas reservoirs in North America.

Module 2: Basic Petrophysical Principles

1. Porosity, permeability, and fluid saturation.
2. Archie’s equation and its limitations.
3. Wyllie time average equation.
4. Effective stress and its impact on petrophysical properties.
5. Capillary pressure and relative permeability.
6. Electrical conductivity and Archie’s exponents.
7. Review of basic well logging tools (SP, GR, Resistivity).

Module 3: Advanced Logging Techniques – Part 1

1. Spectral Gamma Ray Logging (SGR).
2. Density and Neutron Logging.
3. Photoelectric Factor (Pe) logging.
4. Sonic Logging and anisotropy.
5. Image logging (Borehole imaging tools).
6. Applications of image logs in fracture identification.
7. Dipmeter Surveys and analysis.

Module 4: Advanced Logging Techniques – Part 2

1. Nuclear Magnetic Resonance (NMR) logging.
2. Dielectric Logging.
3. Geochemical Logging (Elemental Capture Spectroscopy).
4. Caliper logs, temperature logs, flowmeter logs.
5. Integration of multiple logging data.
6. Environmental corrections for logging data.
7. Quality control of logging data.

Module 5: Well Log Interpretation

1. Qualitative and quantitative log interpretation.
2. Shale volume estimation using different methods.
3. Porosity estimation from logs.
4. Water saturation calculation.
5. Permeability estimation from logs.
6. Fluid identification from logs.
7. Cross-plot techniques for log analysis.

WEEK 2: Core Analysis, Modeling, and Applications

Module 6: Core Analysis

1. Core acquisition and handling.
2. Routine core analysis (porosity, permeability, saturation).
3. Special core analysis (SCAL).
4. Capillary pressure measurements.
5. Relative permeability measurements.
6. Wettability measurements.
7. Integration of core data with well logs.

Module 7: Digital Rock Physics

1. Introduction to digital rock physics (DRP).
2. 3D imaging techniques (CT scanning, SEM).
3. Image processing and segmentation.
4. Pore network modeling.
5. Upscaling petrophysical properties from core to log scale.
6. Predicting petrophysical properties from DRP.
7. Applications of DRP in unconventional reservoirs.

Module 8: Petrophysical Modeling

1. Building petrophysical models for unconventional reservoirs.
2. Defining lithofacies and electrofacies.
3. Using multi-mineral models.
4. Accounting for anisotropy and heterogeneity.
5. Validating petrophysical models.
6. Upscaling petrophysical models for reservoir simulation.
7. Sensitivity analysis of petrophysical parameters.

Module 9: Fracture Characterization

1. Importance of fractures in unconventional reservoirs.
2. Identifying fractures from well logs and core data.
3. Fracture density, orientation, and aperture.
4. Modeling fracture networks.
5. Impact of fractures on permeability and fluid flow.
6. Stimulation techniques for fracture enhancement.
7. Microseismic monitoring of hydraulic fracturing.

Module 10: Applications and Case Studies

1. Reservoir characterization workflows.
2. Estimating hydrocarbon reserves in unconventional reservoirs.
3. Optimizing well placement and completion strategies.
4. Production forecasting and decline curve analysis.
5. Economic evaluation of unconventional resource plays.
6. Risk assessment and uncertainty analysis.
7. Case studies from different unconventional basins (shale gas, tight oil).

Action Plan for Implementation

1. Implement integrated petrophysical workflows in current projects.
2. Utilize advanced logging techniques for improved reservoir characterization.
3. Incorporate digital rock physics into petrophysical modeling.
4. Develop fracture characterization workflows for enhanced production.
5. Share knowledge and best practices with colleagues.
6. Continuously update skills and knowledge through professional development.
7. Apply course learnings to optimize reservoir development and production.