Cranganu C., Luchian H., Breaban M.E. (Eds.) Artificial Intelligent Approaches in Petroleum Geosciences

Springer, 2015. — 298 p.
This book presents several artificial intelligent approaches for tackling and solving challenging practical problems from the petroleum geosciences and petroleum industry. Written by experienced academics, this book offers state-ofthe- art working examples and provides the reader with exposure to the latest developments in the field of artificial intelligent methods applied to oil and gas research, exploration, and production. It also analyzes the strengths and weaknesses of each method presented using benchmarking, while also emphasizing essential parameters such as robustness, accuracy, speed of convergence, computer time, overlearning, or the role of normalization. The reader of this book will benefit from exposure to the latest developments in the field of modern heuristics applied to oil and gas research, exploration, and production. These approaches can be used for uncertainty analysis, risk assessment, data fusion and mining, data analysis and interpretation, and knowledge discovery, from diverse data such as 3-D seismic, geological data, well logging, and production data. Thus, the book is intended for petroleum scientists, data miners, data scientists and professionals, and postgraduate students involved in the petroleum industry.