Advanced reservoir management requires powerful tools to optimize field development, calibrate reservoir models, and manage uncertainty. CMG’s CMOST platform is a robust decision-support system that integrates automatic history matching, optimization, and uncertainty analysis to improve reservoir performance predictions. This training course provides participants with a comprehensive understanding of CMOST workflows, enabling them to run multiple simulation scenarios, analyze sensitivities, and identify the best development strategies based on data-driven insights.

The program combines theory with hands-on applications to ensure participants gain practical skills in automating calibration processes, applying optimization techniques, and conducting probabilistic analyses. By the end of the course, attendees will be equipped to use CMOST as a decision-support tool to enhance production forecasting, evaluate development alternatives, and manage the uncertainties inherent in complex reservoir systems.

Duration: 10 Days

Target Audience

• Reservoir engineers
• Petroleum engineers
• Simulation specialists
• Geoscientists and geologists
• Field development planners
• Production engineers
• Oil and gas consultants
• Subsurface modeling professionals
• Risk management officers
• Data scientists in petroleum applications
• Graduate students in petroleum engineering

Objectives

• Understand the fundamentals of CMOST workflows and applications
• Automate calibration and history matching using CMOST
• Apply optimization techniques to reservoir development planning
• Conduct sensitivity analysis on key model parameters
• Perform uncertainty analysis for risk assessment
• Run multiple simulation scenarios efficiently
• Use CMOST for production forecasting and decision support
• Integrate CMOST with IMEX, GEM, and STARS simulations
• Interpret outputs and visualize results effectively
• Enhance decision-making with probabilistic approaches
• Communicate insights from CMOST analyses to stakeholders
• Apply best practices in optimization and uncertainty management

Course Modules

Module 1: Introduction to CMOST

• Overview of CMOST capabilities
• Role in reservoir simulation workflows
• Applications in history matching and optimization
• Key features of the CMOST platform
• Case study applications

Module 2: Fundamentals of History Matching

• Principles of history matching in reservoir simulation
• Importance of calibration for accurate forecasting
• Manual vs automated history matching approaches
• Introduction to CMOST automatic history matching
• Practical examples

Module 3: CMOST Interface and Setup

• Navigating the CMOST interface
• Linking CMOST with IMEX, GEM, and STARS
• Defining project settings
• Input data preparation
• Running basic simulations

Module 4: Automatic History Matching Workflow

• Steps in automated calibration
• Defining objective functions and parameters
• Iterative calibration methods
• Monitoring convergence and performance
• Case studies in automatic history matching

Module 5: Sensitivity Analysis Techniques

• Importance of sensitivity analysis
• Identifying key reservoir parameters
• CMOST sensitivity analysis workflows
• Visualizing sensitivity results
• Applications in reservoir development

Module 6: Optimization Fundamentals

• Principles of optimization in reservoir management
• Defining optimization objectives
• Deterministic vs stochastic optimization methods
• CMOST optimization workflows
• Case study applications

Module 7: Optimization with CMOST

• Building optimization scenarios
• Adjusting operational parameters
• Evaluating recovery strategies
• Comparing optimization outcomes
• Best practices in optimization

Module 8: Uncertainty Analysis Principles

• Understanding uncertainty in reservoir models
• Probabilistic vs deterministic approaches
• Monte Carlo simulations in CMOST
• Defining uncertainty parameters
• Communicating uncertainty

Module 9: Running Probabilistic Forecasts

• Setting up probabilistic scenarios
• Generating multiple realizations
• Evaluating production variability
• Analyzing probability distributions
• Practical forecasting exercises

Module 10: Decision Support Applications

• CMOST as a decision-making tool
• Integrating outputs with field planning
• Identifying optimal development scenarios
• Risk assessment for investment decisions
• Case examples in decision support

Module 11: Integration with Reservoir Simulators

• Linking CMOST with IMEX for black oil models
• Integration with GEM for compositional models
• Applications with STARS for thermal EOR
• Cross-simulator workflows
• Best practices in integration

Module 12: Visualization and Reporting Tools

• Visualization of sensitivity and optimization results
• Creating probability plots and tornado charts
• Communicating insights to stakeholders
• Preparing technical reports
• Case examples of reporting

Module 13: Case Studies in History Matching and Optimization

• Real-world applications of CMOST
• Lessons from complex reservoirs
• Optimization under uncertainty
• Peer-reviewed discussions
• Global experiences with CMOST

Module 14: Future Trends in Optimization and Uncertainty Analysis

• Advances in optimization algorithms
• Role of AI and machine learning in CMOST
• Cloud computing for large-scale simulations
• Real-time optimization approaches
• Emerging trends in decision-support tools

Module 15: Best Practices and Workflow Efficiency

• Strategies for efficient CMOST usage
• Managing computational costs
• Common challenges and solutions
• Tips for reliable results
• Final project review and recommendations

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Training Venue

The training will be held at our Skills for Africa Training Institute Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Skills for Africa Training Institute certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Terms of Payment: Unless otherwise agreed between the two parties’ payment of the course fee should be done 7 working days before commencement of the training.