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公开(公告)号：US11649714B1
公开(公告)日：2023-05-16
申请号：US17714164
申请日：2022-04-06
发明人： Yan Chen , Yuchuan An , Xiangchao Shi , Yu Yi , Yang Wang , Zhicheng Li , Gaocheng Feng , Yangbing Li , Ping Li , Yuan Zhong , Ming Xian , Hu Deng , Yuming Wang , Yuehao Liu
摘要： A method for predicting and optimizing an ROP for oil and gas drilling based on Bayesian optimization includes: acquiring raw drilling data according to a preset sampling period, constructing an initial sample data set based on the raw drilling data, constructing an ROP prediction model based on the initial sample data set, and predicting an ROP at a next sample point through a Gaussian process regression based on the ROP prediction model. The present invention realizes rapid analysis of historical drilling data and accurate prediction of an ROP range at a sample point in a feasible domain. The method can obtain an optimized ROP and an optimized engineering parameter through Bayesian optimization, and obtain an engineering parameter corresponding to an optimal ROP. The method has few restrictions on the drilling engineering parameter and the raw formation parameter, improves prediction accuracy, and avoids the problem of blurred parameter value boundaries.
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公开(公告)号：US20210358138A1
公开(公告)日：2021-11-18
申请号：US17385959
申请日：2021-07-27
发明人： Bo Peng , Shuojie Wen , Tianlan Yang , Tingting He , Yang Wang
摘要： The present invention discloses a region-growing motion tracking method based on Bayesian inference and polynomial fitting, including: determining a target region; selecting candidate points; calculating a posterior probability; determining a seed point by judging the seed point according to the maximum posterior probability threshold and the maximum absolute displacement difference; dividing a known-displacement point set (including an interior point (IP) set and a boundary point (BP) set) and an unknown-displacement point set of the target region; selecting an active growing point, with the maximum posterior probability value in the boundary point set; conducting guided search; updating the displacement value; conducting local polynomial fitting; updating the IP set and the BP set; calculating strain elastogram. Compared with a traditional algorithm, the method of the present invention is higher in accuracy, smaller in displacement tracking error, smoother in displacement image and strain elastogram, and higher in clinical application value.
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公开(公告)号：US10415374B2
公开(公告)日：2019-09-17
申请号：US15922937
申请日：2018-03-16
申请人： Southwest Petroleum University , Haohan Well Completion & Logging Science and Technology Limited Company
发明人： Xingyu Chen , Yingfeng Meng , Gao Li , Yijian Chen , Yang Wang , Lunping Zhang
摘要： A logging-while-drilling optical fiber communication device includes a rotary wireless transceiver module fixed on a protective connector; an active antenna of the rotary transceiver is placed in the first drill pipe by drilling hole through the protective connector; an optical fiber communication drawworks is located at the top of a second drill pipe, the optical fiber is downwardly released into other under-well drill pipes, the bottom of the optical fiber is connected with the well-bottom wireless receiving module; the lowest part of the drill pipe are provided with a drilling data acquisition device and a well-bottom wireless transmitting module. In the present invention, the optical fiber cable is used as transmission medium, by the means of modulating information data obtained by well logging into optical wave, and transmitting to the optical communication link, high-speed bi-directional transmission of well logging information can be realized.
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公开(公告)号：US11238599B2
公开(公告)日：2022-02-01
申请号：US17385959
申请日：2021-07-27
发明人： Bo Peng , Shuojie Wen , Tianlan Yang , Tingting He , Yang Wang
摘要： The present invention discloses a region-growing motion tracking method based on Bayesian inference and polynomial fitting, including: determining a target region; selecting candidate points; calculating a posterior probability; determining a seed point by judging the seed point according to the maximum posterior probability threshold and the maximum absolute displacement difference; dividing a known-displacement point set (including an interior point (IP) set and a boundary point (BP) set) and an unknown-displacement point set of the target region; selecting an active growing point, with the maximum posterior probability value in the boundary point set; conducting guided search; updating the displacement value; conducting local polynomial fitting; updating the IP set and the BP set; calculating strain elastogram. Compared with a traditional algorithm, the method of the present invention is higher in accuracy, smaller in displacement tracking error, smoother in displacement image and strain elastogram, and higher in clinical application value.
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