Subsurface analytics: Contribution of artificial intelligence and machine learning to reservoir engineering, reservoir modeling, and reservoir management

• 作者: MOHAGHEGH Shahab D.
• 来源期刊: 石油勘探与开发:英文版
• 学科: 工学
• 关键词: and reservoir management Contribution of artificial intelligence and machine learning to reservoir engineering Subsurface analytics reservoir modeling
• 年，卷（期）: 2020,（2）
• 页码范围: 225-228
• 页数: 4页
• 分类号: TE319

摘要

Traditional Numerical Reservoir Simulation has been contributing to the oil and gas industry for decades.The current state of this technology is the result of decades of research and development by a large number of engineers and scientists.Starting in the late 1960s and early 1970s,advances in computer hardware along with development and adaptation of clever algorithms resulted in a paradigm shift in reservoir studies moving them from simplified analogs and analytical solution methods to more mathematically robust computational and numerical solution models.