首页|Researchers Submit Patent Application, 'Reservoir Modeling And Well Placement Us ing Machine Learning', for Approval (USPTO 20240311530)
Researchers Submit Patent Application, 'Reservoir Modeling And Well Placement Us ing Machine Learning', for Approval (USPTO 20240311530)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-From Washington, D.C., NewsRx journali sts report that a patent application by the inventors Mustapha, Hussein (Abu Dha bi, AE); Ramatullayev, Samat (Abu Dhabi, AE); Su, Shi (Abu Dhabi, AE); de Brito Dias, Daniel (Abingdon, GB), filed on February 7, 2022, was made available onlin e on September 19, 2024. No assignee for this patent application has been made. News editors obtained the following quote from the background information suppli ed by the inventors: "In conventional systems, several workflows include calibra ting model parameters to select a model that accurately represents data. For ins tance, history matching is a process of calibrating reservoir uncertainty parame ters with an objective of obtaining simulation production data as close as possi ble to historical data. The process is time-consuming and requires heavy computa tions, which pose a bottleneck for further steps in a reservoir modeling workflo w.
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