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Introduction to Reservoir Engineering covers the fundamentals, with a primary focus on understanding fluid flow in porous media. Participants will learn reservoir engineering based on the application of analytical techniques.
During the first 3 days key reservoir engineering concepts such as reservoir drive mechanisms, volumetrics, petroleum fluid properties and recovery factors will be introduced as tools.
Remaining 2 days will take the participants through basic
concepts of Reservoir Simulation modules. Participants will
be introduced to the building of simple simulation models
using Petrel and ECLIPSE Software. History matching and
Prediction exercises will also be carried out during the course.
Typically, around 30 percent of the course will be “learn by doing", which includes exercises, and group discussions.
Fundamentals & Darcy’s Law
Participants will be given a brief introduction to the course and what they can expect. During this day fundamentals of reservoir phase behavior and fluid flow will be discussed. Participants will also be introduced to Darcy’s Law.Day 2
Well and Reservoir Concepts
On this day, participants will be introduced to fluid statics and distribution along with reservoir drive mechanisms. Oil and gas well performance will also be discussed. Oil displacement concept will also be covered.Day 3
Well Testing and Analysis
Day 3 will start with hydrocarbon reserves volumetric methods. Participants will learn decline curve analysis and material balance concepts. They will also be discussing the principles of well testing during this day. Participants will also learn about the development of the diffusivity equation and how to use it.Day 4
Principles of Reservoir Simulation
History Matching and Prediction
This course is designed for non-reservoir engineers such as geologists, geophysicists, petrophysicists working in exploration and exploitation.
Previous Petrel or Eclipse knowledge is not a prerequisite for this course.
Customize your own learning journey and track your progress when you start using a defined learning path.