Oil and Gas

Training Course on Petrophysics for Complex and Unconventional Reservoirs

Introduction

In today's dynamic energy landscape, understanding petrophysical behavior in complex and unconventional reservoirs has become a game-changer in maximizing hydrocarbon recovery and ensuring sustainable energy development. Training Course on Petrophysics for Complex & Unconventional Reservoirs is designed to provide professionals with a deep dive into advanced petrophysical interpretation techniques for challenging reservoirs including shale, tight gas, and fractured formations. The course integrates geological, geophysical, and engineering insights to equip learners with cutting-edge tools and methodologies tailored to today's most intricate subsurface challenges.

This course emphasizes data integration, reservoir characterization, and real-time analysis, incorporating field-proven strategies and emerging digital technologies such as AI-powered log interpretation and machine learning in reservoir analysis. Learners will engage with case-based learning, practical exercises, and interactive simulations to build real-world expertise and elevate decision-making capabilities in complex reservoir environments.

Programme Curriculum

Training Course on Petrophysics for Complex & Unconventional Reservoirs

Introduction

Course Objectives

Understand advanced petrophysical evaluation of unconventional reservoirs.
Apply multimodal log interpretation to complex lithologies.
Analyze shale gas and tight oil reservoir behavior using modern techniques.
Evaluate fluid saturations and porosity in fractured reservoirs.
Integrate geomechanical and petrophysical data for better field development.
Identify sweet spots using petrophysical and seismic data fusion.
Leverage machine learning for rock property prediction.
Assess well log responses in organic-rich formations.
Interpret NMR and dielectric logs in unconventional settings.
Optimize completion strategies using petrophysical insights.
Evaluate resistivity anisotropy and borehole image logs.
Conduct petrophysical uncertainty analysis in complex environments.
Interpret thin-bed and laminated reservoir data for production enhancement.

Target Audiences

Petroleum Engineers
Reservoir Engineers
Geologists & Geophysicists
Petrophysicists
Exploration & Production Analysts
Data Scientists in Oil & Gas
Subsurface Engineers
Graduate Students in Geosciences

Course Duration: 10 days

Course Modules

Module 1: Fundamentals of Petrophysics in Unconventional Reservoirs

Core principles of petrophysical evaluation
Key differences in conventional vs. unconventional reservoirs
Introduction to shale, tight gas, and fractured systems
Overview of mineralogy and lithological complexities
Introduction to multi-scale rock property measurement
Case Study: Petrophysical contrast between Bakken and Marcellus Shale

Module 2: Rock Typing and Reservoir Quality Assessment

Techniques for rock classification in unconventional plays
Porosity and permeability analysis in tight formations
Core-log integration strategies
Evaluating reservoir quality using thin section petrography
Use of crossplots and advanced petrophysical templates
Case Study: Rock typing challenges in Permian Basin

Module 3: Advanced Log Interpretation Techniques

Gamma ray, resistivity, and density/neutron log interpretation
Spectral gamma ray and elemental capture spectroscopy
Complex mineralogy interpretation using cross-plotting
Multimineral and multilinear inversion techniques
AI-enhanced log analysis tools
Case Study: Log interpretation in Haynesville Shale

Module 4: Porosity and Saturation Models in Complex Reservoirs

Effective vs. total porosity in low-permeability systems
Saturation height modeling and capillary pressure integration
Archie’s vs. non-Archie rock systems
Introduction to dual porosity systems
Methods to calibrate saturation models with core data
Case Study: Porosity analysis in tight carbonate plays

Module 5: Fractured Reservoir Evaluation

Natural vs. induced fracture identification
Fracture density and orientation estimation using FMI
Impact of fractures on permeability and flow
Integration of image logs and core fracture data
Fracture modeling and productivity prediction
Case Study: Fractured reservoir in Kurdistan

Module 6: Petrophysics of Shale Gas and Oil Reservoirs

TOC estimation using log and core data
Kerogen typing and maturity interpretation
Gas-in-place and free vs. adsorbed gas models
Brittleness index and mineralogy influence on fracking
Shale log interpretation using NMR and dielectric tools
Case Study: Shale characterization in Eagle Ford

Module 7: Tight Gas and Low-Permeability Reservoirs

Challenges in petrophysical assessment of tight formations
Well log interpretation in high-resistivity zones
Micro-porosity and low flow zone identification
Stimulation response prediction using petrophysics
Workflow for tight gas reservoir evaluation
Case Study: Log signature in Mesaverde Formation

Module 8: NMR and Dielectric Logging Applications

Principles of NMR logging in unconventional rocks
Bound vs. free fluid volume separation
Dielectric log response in tight formations
Comparison of NMR and resistivity-based porosity
Calibration of NMR tools using lab data
Case Study: NMR application in Barnett Shale

Module 9: Geomechanical-Petrophysical Integration

Stress profiling and its impact on completion
Mechanical properties from logs (UCS, Young’s modulus)
Poroelastic modeling using log data
Correlation of geomechanical properties with brittleness
Fracability prediction from petrophysical data
Case Study: Integration in the Duvernay Formation

Module 10: Image Logs and Resistivity Anisotropy

FMI, OBMI, and other borehole imaging tools
Anisotropy detection using azimuthal resistivity
Structural and sedimentary feature identification
Fracture mapping and reservoir flow analysis
Integration of image logs with dip and fracture data
Case Study: Borehole imaging in horizontal Bakken wells

Module 11: Petrophysics for Thin-Bedded and Laminated Reservoirs

Challenges in laminated sand-shale systems
Advanced log analysis methods: LWD & multi-component
High-resolution vertical petrophysical modeling
Core-log-seismic data fusion
Thin-bed reservoir production potential estimation
Case Study: Laminated pay in the North Sea

Module 12: Digital Petrophysics & Machine Learning

Introduction to digital core and log analytics
Data preprocessing and feature extraction
ML algorithms for porosity and permeability prediction
Supervised vs. unsupervised models
Cloud platforms and AI tools for petrophysical workflows
Case Study: AI-driven petrophysics in a Middle East shale play

Module 13: Uncertainty Quantification and Risk Analysis

Probabilistic log interpretation
Sensitivity analysis in petrophysical workflows
Monte Carlo simulation for property estimation
Error propagation in complex models
Decision making under uncertainty
Case Study: Uncertainty analysis in the Utica Shale

Module 14: Completion Design Using Petrophysical Data

Petrophysical indicators for stage spacing
Perforation cluster design based on reservoir heterogeneity
Optimization of proppant placement
Predicting stimulated rock volume (SRV)
Real-time petrophysics in completion operations
Case Study: Completion optimization in STACK play

Module 15: Integrated Field Case Studies

End-to-end reservoir evaluation workflow
Role of petrophysics in field development planning
Field-scale upscaling from logs to static models
Production history matching with petrophysical inputs
Lessons learned and best practices
Case Study: Full field development in Vaca Muerta

Training Methodology

Live interactive lectures with visual demonstrations
Hands-on exercises using real field data
Group-based problem-solving and simulation activities
Quizzes and knowledge checkpoints after each module
Final project: End-to-end petrophysical evaluation of a field
Continuous feedback and 1-on-1 mentoring sessions

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

Petrophysics Reservoir Analysis Core Analysis Logging

Programme Fee

Duration: 10 Days

Method: Online or Physical

Online Price: $2,000

Physical Price: $3,000

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 30 Oct 2026

💻 Online / Virtual session

Online $2,000