Robotics & Machine Learning Daily News2024,Issue(Oct.4) :217-221.

Researchers Submit Patent Application, 'Reservoir Modeling And Well Placement Us ing Machine Learning', for Approval (USPTO 20240311530)

Robotics & Machine Learning Daily News2024,Issue(Oct.4) :217-221.

Researchers Submit Patent Application, 'Reservoir Modeling And Well Placement Us ing Machine Learning', for Approval (USPTO 20240311530)

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Abstract

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.

Key words

Cyborgs/Emerging Technologies/Machine Learning/Patent Application

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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