Optimization Techniques for Oil and Gas Production. Application of Genetic Algorithm, Optimal Control Theory and Model Predictive Control to Optimal Oil and Gas Production

      Аннотация: The need to efficiently produce oil and gas resources is ever increasing. A major challenge to this process is in finding optimal production trajectories that will maximize an overall venture profitability. This book covers theoretical fundamentals of optimization, and areas of application in oil and gas production. Specifically, genetic algorithm was applied to optimize petroleum production system. In addition, the principles of optimal control theory and model predictive control were employed to solve typical production optimization problems – water flooding of reservoirs. Students, researchers and industrialists will find the book useful.

Ключевые слова: Adjoint system, Genetic algorithms, optimal control theory, Water Flooding, Petroleum Production, Separator, Sequential Programming, reservoir heterogeneity, smart wells, Neural Network, Reservoir, Nonlinear Model Predictive Controller, nonlinear identification