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Unconventional Hydrocarbon Resources: Prediction and Modeling Using Artificial Intelligence Approaches Ouadfeul, Sid-Ali (Algerian Petroleum Institute-IAP Corporate University, Algeria)
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Unconventional Hydrocarbon Resources: Prediction and Modeling Using Artificial Intelligence Approaches
Ouadfeul, Sid-Ali (Algerian Petroleum Institute-IAP Corporate University, Algeria)
Unconventional Hydrocarbon Resources: Exploration and Artificial Intelligence highlights novel concepts and techniques in tight reservoir exploration and discusses contribution of artificial intelligence such as neural network and fuzzy logic towards the exploration of these reservoirs. Each chapter covers examples and applications to real data from different hydrocarbon fields such as the Barnett shale (USA), the Bakken Oil (USA), Ahnet and Berkine Basins (Algeria), etc.
Volume highlights include: Geophysics of the shale plays Petrophysics of the shale and tight sand gas reservoirs Geomechanic of shale gas reservoirs Well-bore stability in shale gas reservoirs Hydraulic fracturing, rock typing of tight sand reservoirs and fluid flow and permeability of unconventional hydrocarbon reservoirs
Unconventional Hydrocarbon Resources: Exploration and Artificial Intelligence will be a valuable resource of information for students, instructors and researchers working on unconventional hydrocarbon exploration, geophysics, geoengineering and energy.
350 pages
| メディア | 書籍 Hardcover Book (ハードカバー付きの本) |
| リリース済み | 2023年8月22日 |
| ISBN13 | 9781119389361 |
| 出版社 | John Wiley & Sons Inc |
| ページ数 | 320 |
| 寸法 | 150 × 220 × 20 mm · 771 g |
| 言語 | 英語 |
| 編集者 | Ouadfeul, Sid-Ali (Algerian Petroleum Institute-IAP Corporate University, Algeria) |
