Executive Development Programme in Simulating Pore Network Fluid Flow

This course is designed for executives and technical leaders in the oil and gas, petrochemical, and related industries. It equips participants with advanced understanding and practical skills in simulating pore network fluid flow, essential for optimizing reservoir management and enhancing production efficiency.

Participants will gain proficiency in using state-of-the-art simulation tools, deepen their knowledge of fluid dynamics in porous media, and learn to apply these insights to real-world challenges. The course also focuses on developing strategic decision-making skills to leverage simulation outcomes for business advantage.

1. 1. Introduction to Pore Network Models: Learners will understand the basic principles of pore network modeling and its application in simulating fluid flow. They will gain foundational knowledge in creating simple pore networks and analyzing basic fluid dynamics.
2. 2. Fundamentals of Fluid Dynamics: This module covers essential fluid dynamics concepts necessary for understanding pore network simulation, including pressure, velocity, and viscosity. Learners will develop skills in applying these principles to model fluid behavior in porous media.
3. 3. Pore Network Geometry and Topology: Learners will study the geometric and topological aspects of pore networks, including methods for generating and characterizing pore networks. They will gain practical skills in analyzing pore network structures and their impact on fluid flow.
4. 4. Basic Pore Network Simulation Techniques: This module introduces learners to various simulation techniques for pore network models, such as the mean flow and lattice Boltzmann methods. They will learn to implement and apply these techniques for simulating simple fluid flow scenarios.
5. 5. Advanced Pore Network Simulation Techniques: Building on basic techniques, learners will explore more advanced simulation methods, including percolation theory and multiphase flow models. They will develop skills in using these methods to simulate complex fluid flow behaviors.
6. 6. Porous Media Properties and Characterization: This module focuses on the properties of porous media, including porosity, permeability, and tortuosity. Learners will gain skills in characterizing these properties from experimental data and integrating them into pore network models.
7. 7. Uncertainty and Sensitivity Analysis: Learners will study methods for assessing uncertainties in pore network models and performing sensitivity analysis to understand how variations in model parameters affect fluid flow predictions.
8. 8. Integration of Pore Network Models with Other Techniques: This module explores the integration of pore network models with other simulation techniques, such as reservoir modeling and machine learning. Learners will develop skills in combining these methods to enhance predictive capabilities.
9. 9. Case Studies in Pore Network Simulation: Through case studies, learners will apply their knowledge to real-world scenarios, such as oil recovery and groundwater flow. They will gain experience in solving practical problems using pore network simulation techniques.
10. 10. Advanced Topics in Pore Network Modeling: This module delves into cutting-edge topics in pore network modeling, such as the use of artificial intelligence and deep learning for improving simulation accuracy. Learners will gain insights into the latest research and developments in the field.