| 期刊全稱 | Artificial Intelligent Approaches in Petroleum Geosciences | | 影響因子2023 | Constantin Cranganu,Henri Luchian,Mihaela Elena Br | | 視頻video | http://file.papertrans.cn/163/162586/162586.mp4 | | 發(fā)行地址 | Presents intelligent approaches for solving challenging practical problems facing those in the petroleum geosciences and petroleum industry.Offers state-of-the-art working examples and provides the re | | 圖書封面 |  | | 影響因子 | .This book presents several intelligent approaches for tackling and solving challenging practical problems facing those in the petroleum geosciences and petroleum industry. Written by experienced academics, this book offers state-of-the-art working examples and provides the reader with exposure to the latest developments in the field of intelligent methods applied to oil and gas research, exploration and production. It also analyzes the strengths and weaknesses of each method presented using benchmarking, whilst also emphasizing essential parameters such as robustness, accuracy, speed of convergence, computer time, overlearning and the role of normalization. The intelligent approaches presented include artificial neural networks, fuzzy logic, active learning method, genetic algorithms and support vector machines, amongst others. .Integration, handling data of immense size and uncertainty, and dealing with risk management are among crucial issues in petroleum geosciences. The problems we have to solve in this domain are becoming too complex to rely on a single discipline for effective solutions and the costs associated with poor predictions (e.g. dry holes) increase. Therefore, ther | | Pindex | Book 20151st edition |
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