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Subsurface analytics: Contribution of artificial intelligence and machine learning to reservoir engineering, reservoir modeling, and reservoir management 被引量:1
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作者 MOHAGHEGH Shahab D. 《Petroleum Exploration and Development》 2020年第2期225-228,共4页
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 e... 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. 展开更多
关键词 and reservoir management Contribution of artificial intelligence and machine learning to reservoir engineering Subsurface analytics reservoir modeling
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