Adaptive Approach to Petroleum Reservoir Simulation

This book presents unique features of theadaptive modeling approachbased onnew machine learning algorithms for petroleum exploration, development, and production. The adaptive approach helps simulation engineers and geoscientists to create adequate geological and hydrodynamic models. This approach is proven to be a realalternative to traditional techniques, such as deterministic modeling. Currently, machine-learning algorithms grow in popularity because they provide consistency, predictiveness, and convenience. The primary purpose of this book is to describe the theoretical state of theadaptive approachand show some examples of its implementation in simulation and forecasting differentreservoir processes.