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公开(公告)号:US20220391998A1
公开(公告)日:2022-12-08
申请号:US17831488
申请日:2022-06-03
Applicant: CONOCOPHILLIPS COMPANY
Inventor: Yishu Song , Gerald E. Michael
Abstract: A method of predicting production characteristics of a hydrocarbon well using time lapse geochemistry fingerprinting and using machine learning to train a reservoir model to accurately predict production characteristics.
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公开(公告)号:US10408962B2
公开(公告)日:2019-09-10
申请号:US15215403
申请日:2016-07-20
Applicant: ConocoPhillips Company
Inventor: Yishu Song
Abstract: Disclosed are methods of characterizing kerogen and its hydrocarbon generation potential using NMR as the primary analytical tool, and using such data to derive the kinetics of hydrocarbon generation and alteration, thus predicting the hydrocarbon potential of source rock in geological setting, which can then be used in petroleum exploration and production.
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公开(公告)号:US11002722B2
公开(公告)日:2021-05-11
申请号:US15963757
申请日:2018-04-26
Applicant: CONOCOPHILLIPS COMPANY
Inventor: Gerald E. Michael , Jason Jweda , Yishu Song , Aaron K. Summerfield , Faye Liu , Pipat Likanapaisal
Abstract: Method of optimizing well placement in an unconventional reservoir, by obtaining a plurality of produced oil, produced water and produced gas samples from an unconventional reservoir over a period of time, and obtaining a plurality of rock samples from the reservoir. Each of those plurality of samples is chemically fingerprinted, as well as assigned time and location identifiers. This data is then used to generate a plurality of reservoir maps over time and those maps then used to optimizing well placement in the reservoir.
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