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Oil and Gas
Training Course on Fractured and Unconventional Reservoir Modelling
Introduction
In today’s rapidly evolving energy landscape, unconventional resources such as shale gas, tight oil, and coalbed methane have become crucial to global energy supply. Training Course on Fractured & Unconventional Reservoir Modelling is designed to empower professionals with the latest tools, data-driven methodologies, and digital techniques needed for accurately modeling and optimizing production from complex reservoirs. Using advanced geomechanical modeling, fracture characterization, and AI-assisted reservoir simulation, this course bridges theory and practical application with industry-relevant case studies.
As hydrocarbon exploration moves toward increasingly complex formations, understanding reservoir heterogeneity, fluid flow dynamics, and fracture networks is more critical than ever. This course provides geoscientists, reservoir engineers, and energy data professionals with a robust foundation to model multi-scale fractures, assess well performance, and drive data-centric decision-making through machine learning, big data integration, and advanced simulation workflows.
Programme Curriculum
Training Course on Fractured & Unconventional Reservoir Modelling
Introduction
In today’s rapidly evolving energy landscape, unconventional resources such as shale gas, tight oil, and coalbed methane have become crucial to global energy supply. Training Course on Fractured & Unconventional Reservoir Modelling is designed to empower professionals with the latest tools, data-driven methodologies, and digital techniques needed for accurately modeling and optimizing production from complex reservoirs. Using advanced geomechanical modeling, fracture characterization, and AI-assisted reservoir simulation, this course bridges theory and practical application with industry-relevant case studies.
As hydrocarbon exploration moves toward increasingly complex formations, understanding reservoir heterogeneity, fluid flow dynamics, and fracture networks is more critical than ever. This course provides geoscientists, reservoir engineers, and energy data professionals with a robust foundation to model multi-scale fractures, assess well performance, and drive data-centric decision-making through machine learning, big data integration, and advanced simulation workflows.
Course Objectives
Understand the fundamentals of unconventional reservoir characterization and fracture analysis
Apply geomechanical modeling techniques for hydraulic fracture simulation
Integrate machine learning algorithms for reservoir performance prediction
Explore rock mechanics and stress-strain behavior in fractured formations
Use data analytics tools to enhance unconventional reservoir evaluation
Perform 3D static and dynamic modeling of shale and tight reservoirs
Understand the impact of natural and induced fractures on fluid flow
Utilize AI-based history matching and production forecasting techniques
Analyze field-scale data for reservoir simulation and optimization
Design effective stimulation and completion strategies using modeling outputs
Integrate multi-scale data from core samples, logs, and seismic
Learn about energy transition impacts on unconventional resource development
Apply real-world case studies to benchmark modeling accuracy and decision-making
Target Audience
Reservoir Engineers
Petroleum Geologists
Geophysicists
Data Scientists in Oil & Gas
Drilling Engineers
Field Development Planners
Completion & Production Engineers
Energy Transition Consultants
Course Duration: 5 days
Course Modules
Module 1: Fundamentals of Unconventional Reservoirs
Overview of unconventional resources
Key differences between conventional and unconventional reservoirs
Shale, tight gas, and coalbed methane characteristics
Challenges in modeling fractured reservoirs
Introduction to reservoir heterogeneity and porosity types
Case Study: Modeling Barnett Shale productivity
Module 2: Rock Mechanics & Geomechanics
Stress-strain behavior in rock formations
Mechanical properties of shale and tight formations
Role of geomechanics in fracture propagation
In-situ stress estimation and its impact
Geomechanical input for simulation models
Case Study: Geomechanical modeling in the Bakken Formation
Module 3: Fracture Characterization & Modeling
Natural vs. induced fractures
Fracture network properties and conductivity
Diagnostic Fracture Injection Tests (DFIT)
Discrete Fracture Network (DFN) modeling
Tools and software for fracture analysis
Case Study: Eagle Ford fracture network mapping
Module 4: Reservoir Simulation of Unconventional Plays
Principles of single and multi-phase flow in fractured media
Dual-porosity and dual-permeability models
Grid generation and upscaling techniques
Simulation of production decline
Matching simulation results with field data
Case Study: Marcellus shale reservoir simulation
Module 5: Integration of Multi-Scale Data
Use of core, well log, seismic, and production data
Challenges in data harmonization
Multi-disciplinary data interpretation workflows
Big data integration for enhanced modeling
Importance of data resolution and scale
Case Study: Multi-scale integration in the Permian Basin
Module 6: Machine Learning in Reservoir Modelling
Role of AI and ML in unconventional reservoir management
Feature selection and predictive modeling
Use of supervised learning in production forecasting
Neural networks for pattern recognition in logs
ML-assisted history matching
Case Study: AI-based forecasting in Haynesville shale
Module 7: Production Optimization & Field Development
Techniques for optimizing well spacing and fracturing stages
Evaluation of completion strategies
Dynamic modeling for recovery improvement
Forecasting production under varying scenarios
Integrating economic models with reservoir simulation
Case Study: Field optimization in the Utica shale
Module 8: Future Trends & Sustainability in Unconventional Reservoirs
Digital oilfield technologies and automation
Sustainability considerations in unconventional development
CO? injection and EOR in tight reservoirs
ESG factors and regulatory impacts
Innovations in drilling and completion technologies
Case Study: Sustainable reservoir modeling in Vaca Muerta
Training Methodology
Instructor-led live sessions with real-time Q&A
Interactive group workshops and technical exercises
Hands-on training using commercial simulation software
Case study discussions for practical relevance
Assessments and quizzes to track participant learning
Register as a group from 3 participants for a Discount
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.