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公开(公告)号:US20200011158A1
公开(公告)日:2020-01-09
申请号:US16503753
申请日:2019-07-05
Applicant: Schlumberger Technology Corporation
Inventor: Yan Kai Xu , Qingfeng Zhu , Hui Xie , Helen Xiaoyan Zhong , Ettore Mirto , Aria Abubakar , Yao Feng , Ping Zhang
Abstract: A method for drilling includes obtaining formation-measurement pairings, training a machine-learning model using the formation-measurement pairings, receiving measurements obtained by a tool positioned in a well formed in a formation, and generating a formation model of at least a portion of the formation using the machine-learning model and the measurements. The formation model represents one or more physical parameters of the formation, one or more structural parameters of the formation, or both.
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公开(公告)号:US20180292563A1
公开(公告)日:2018-10-11
申请号:US15764614
申请日:2016-09-26
Applicant: Schlumberger Technology Corporation
Inventor: Helen Xiaoyan Zhong , Steve F. Crary , Ettore Mirto , Christophe Dupuis , Weixin Dong , Mark T. Frey
Abstract: Methods capable of determining a depth of investigation of a logging tool can include generating an error distribution model for a logging tool. The methods can also include defining a detection threshold above which a measured signal from a measurement channel of the logging tool can be considered reliable based on output from the error distribution model, and generating a simulated formation model to determine the depth of investigation. The depth of investigation can be biased by the detection threshold.
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公开(公告)号:US11428077B2
公开(公告)日:2022-08-30
申请号:US16503753
申请日:2019-07-05
Applicant: Schlumberger Technology Corporation
Inventor: Yan Kai Xu , Qingfeng Zhu , Hui Xie , Helen Xiaoyan Zhong , Ettore Mirto , Aria Abubakar , Yao Feng , Ping Zhang
Abstract: A method for drilling includes obtaining formation-measurement pairings, training a machine-learning model using the formation-measurement pairings, receiving measurements obtained by a tool positioned in a well formed in a formation, and generating a formation model of at least a portion of the formation using the machine-learning model and the measurements. The formation model represents one or more physical parameters of the formation, one or more structural parameters of the formation, or both.
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公开(公告)号:US20170301116A1
公开(公告)日:2017-10-19
申请号:US15098723
申请日:2016-04-14
Applicant: Schlumberger Technology Corporation
Inventor: Qingfeng ZHU , Jean Seydoux , Ettore Mirto , Denis Heliot
CPC classification number: G06T11/206 , G01V1/345
Abstract: A method for integrating graphical logging content of a subterranean wellbore includes processing a plurality of digitized display images and relevant context information to generate a single synchronized display image including representations of each of the plurality of display image. The plurality of digitized display images and relevant context information are received at a central processor from a corresponding plurality of source tools or source processors. The display images are representative of subterranean wellbore conditions.
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公开(公告)号:US20250110253A1
公开(公告)日:2025-04-03
申请号:US18905669
申请日:2024-10-03
Applicant: Schlumberger Technology Corporation
Inventor: Keli Sun , Hui Xie , Xiaoyan Zhong , Kong Hauw Sarwa Bakti Tan , Ettore Mirto , Kent David Harms , Xiao Bo Hong , Pontus Loviken , Gordana Draskovic , Thanh Nhan Nguyen , Josselin Kherroubi
Abstract: A method for estimating EM measurement uncertainty includes evaluating EM logging measurements with a trained machine learning model to estimate the measurement uncertainties of the EM logging measurements. The trained machine learning model is trained using a training data set made up of modeled EM logging measurements and corresponding measurement uncertainties.
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公开(公告)号:US20230393299A1
公开(公告)日:2023-12-07
申请号:US18248880
申请日:2021-11-10
Applicant: Schlumberger Technology Corporation
Inventor: Keli Sun , Xiaoyan Zhong , Ettore Mirto , Kong Hauw Sarwa Bakti Tan
Abstract: A method for making electromagnetic directional resistivity measurements includes rotating an electromagnetic logging tool in a subterranean wellbore penetrating the formation. The logging tool includes a transmitting antenna and a receiving antenna spaced along a tool body with at least one of the transmitting antenna and the receiving antenna being a tiltted antenna. The electromagnectic logging tool is used to make a plurality of electromagnetic measurements at a corresponding plurality of frequencies while rotating in the wellbore. The plurality of measurements made at the corresponding plurality of frequencies is processed to compute a combined apparent resistivity of the subterranean formation. The processing includes minimizing a difference between a plurality of modeled measurements and the plurality of wellbore measurements in which the modeled measurements are computed using a model assuming a homogenous formation.
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公开(公告)号:US11307323B2
公开(公告)日:2022-04-19
申请号:US15764614
申请日:2016-09-26
Applicant: Schlumberger Technology Corporation
Inventor: Helen Xiaoyan Zhong , Steve F. Crary , Ettore Mirto , Christophe Dupuis , Weixin Dong , Mark T. Frey
Abstract: Methods capable of determining a depth of investigation of a logging tool can include generating an error distribution model for a logging tool. The methods can also include defining a detection threshold above which a measured signal from a measurement channel of the logging tool can be considered reliable based on output from the error distribution model, and generating a simulated formation model to determine the depth of investigation. The depth of investigation can be biased by the detection threshold.
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公开(公告)号:US10210638B2
公开(公告)日:2019-02-19
申请号:US15098723
申请日:2016-04-14
Applicant: Schlumberger Technology Corporation
Inventor: Qingfeng Zhu , Jean Seydoux , Ettore Mirto , Denis Heliot
Abstract: A method for integrating graphical logging content of a subterranean wellbore includes processing a plurality of digitized display images and relevant context information to generate a single synchronized display image including representations of each of the plurality of display image. The plurality of digitized display images and relevant context information are received at a central processor from a corresponding plurality of source tools or source processors. The display images are representative of subterranean wellbore conditions.
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