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公开(公告)号：US20240247578A1
公开(公告)日：2024-07-25
申请号：US18434900
申请日：2024-02-07
Applicant: Schlumberger Technology Corporation
Inventor： Samba Holger White Ba , Lu Jiang , Adrien Chassard , Magnus Hedlund , Maja Ignova , Katharine Mantle , Jinsoo Kim , Tao Yu , Farid Toghi , Hendrik Suryadi , Qing Liu , Diego Medina
IPC: E21B44/00 , E21B7/06 , E21B47/022
CPC classification number: E21B44/00 , E21B7/068 , E21B47/022 , E21B2200/20
Abstract: A system and method that include receiving a well plan and determining a plurality of sections of the well plan and receiving data from surface and downhole to determine a current location of a drill bit. The system and method also include analyzing the well plan to automatically derive trajectory constraints that are associated with each of the plurality of sections of the well plan. The system and method additionally include determining a plurality of trajectory candidates that pertain to respective paths from the current location of a drill bit to respective targets included within each of the plurality of sections of the well plan based on a consideration of the trajectory constraints. The system and method further include determining a working plan that includes an optimal path from the current location of the drill bit to reach a final target based on the plurality of trajectory candidates.
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公开(公告)号：US20220170359A1
公开(公告)日：2022-06-02
申请号：US17441522
申请日：2020-03-20
Applicant: Schlumberger Technology Corporation
Inventor： Riadh Boualleg , Geoffrey Charles Downton , Jean Marie Degrange , Steven G. Villareal , Maja Ignova , Ling Li , Katharine L. Mantle , Tao Yu , Jia Yao , Kai Feng Zhao , Paul Bolchover
IPC: E21B44/00 , G06N20/20 , E21B7/04 , E21B47/024
Abstract: A method can include acquiring drilling performance data for a downhole tool; modeling drilling performance of the downhole tool to generate results; training a machine learning model using the drilling performance data and the results to generate a trained machine learning model; and predicting behavior of the downhole tool using the trained machine learning model.
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公开(公告)号：US20240026769A1
公开(公告)日：2024-01-25
申请号：US18355076
申请日：2023-07-19
Applicant: Schlumberger Technology Corporation
Inventor： Wei Chen , Zhengxin Zhang , Yuelin Shen , Tien Hiep Nguyen , Gregory Skoff , Xianxiang Huang , Zhenyu Chen , Tao Yu , Nathaniel Wicks
IPC: E21B44/00
CPC classification number: E21B44/00 , E21B2200/20
Abstract: A method may include generating an optimal operational window (OOW) that specifies operational parameter values for drilling operations using equipment at a rig site, based on data indicative of rig state and formation characteristics, and based on mutation-based optimization of the operational parameter values; and instructing a control system to perform the drilling operations according to the OOW using the equipment at the rig site.
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Patent Agency Ranking
公开(公告)号：US20240183264A1
公开(公告)日：2024-06-06
申请号：US18526156
申请日：2023-12-01
Applicant: Schlumberger Technology Corporation
Abstract: A method may include receiving a digital well plan that specifies planned drilling parameters for drilling a borehole, where each of the specified planned drilling parameters includes one or more of a minimum threshold and a maximum threshold; generating statistical distributions of actual drilling parameters in real-time responsive to receipt of real-time data acquired during a depth-based window for the drilling; generating comparisons in real-time, where each of the comparisons is between one of the statistical distributions and a corresponding one of the planned drilling parameters for the depth-based window; and, responsive to one or more of the comparisons indicating an unacceptable actual to planned parameter deviation, issuing a control signal.
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公开(公告)号：US20240183263A1
公开(公告)日：2024-06-06
申请号：US18436244
申请日：2024-02-08
Applicant: Schlumberger Technology Corporation
Inventor： Samba Ba , Lu Jiang , Adrien Chassard , Magnus Hedlund , Maja Ignova , Katharine Mantle , Jinsoo Kim , Tao Yu , Farid Toghi , Hendrik Suryadi , Qing Liu , Diego Medina
IPC: E21B44/00 , E21B7/06 , E21B47/022
CPC classification number: E21B44/00 , E21B7/068 , E21B47/022 , E21B2200/20
Abstract: A system and method that include receiving a well plan and determining a plurality of sections of the well plan and receiving data from surface and downhole to determine a current location of a drill bit. The system and method also include analyzing the well plan to automatically derive trajectory constraints that are associated with each of the plurality of sections of the well plan and determining a plurality of trajectory candidates that pertain to respective paths from the current location of the drill bit to respective targets based on a consideration of the trajectory constraints. The system and method further include determining costs according to at least one cost function to rank the plurality of trajectory candidates to determine a working plan that includes an optimal path from the current location of the drill bit to reach a final target.
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公开(公告)号：US11499409B2
公开(公告)日：2022-11-15
申请号：US16408514
申请日：2019-05-10
Applicant: Schlumberger Technology Corporation
Inventor： Hendrik Suryadi , Paul Bolchover , Tao Yu , Ji Tang Liu , Chao Mu , Rongbing Chen
Abstract: A method can include providing a trained drilling motor model trained via machine learning based at least in part on drilling motor simulation results; instantiating a motor engine component with an interface in a computational environment; and, responsive to receipt of a call via the interface, returning drilling motor information based at least in part on the trained drilling motor model.
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公开(公告)号：US20220290550A1
公开(公告)日：2022-09-15
申请号：US17653404
申请日：2022-03-03
Applicant: Schlumberger Technology Corporation
Inventor： Samba Ba , Lu Jiang , Adrien Chassard , Magnus Hedlund , Maja Ignova , Katharine Mantle , Jinsoo Kim , Tao Yu , Farid Toghi , Hendrik Suryadi , Qing Liu , Diego Medina
IPC: E21B44/00 , E21B7/06 , E21B47/022
Abstract: A method can include receiving data for a bottom hole assembly of a drillstring and a drill plan; generating candidate trajectories using at least a portion of the data; generating drill command schedules for the candidate trajectories; ranking the candidate trajectories based at least in part on the drill command schedules; and outputting at least a top ranked candidate trajectory and its corresponding drill command schedule.
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公开(公告)号：US20240003246A1
公开(公告)日：2024-01-04
申请号：US18343870
申请日：2023-06-29
Applicant: Schlumberger Technology Corporation
Inventor： Chao Mu , Florian Le Blay , Tao Yu
CPC classification number: E21B47/10 , G08B21/182
Abstract: A method of analyzing flowback of a downhole system includes generating active flowback data by monitoring an active flowback from a wellbore. Historic flowback data for historic flowback from the wellbore is used to determine a flowback cluster. The flowback cluster is selected based on comparing the active flowback data to the historic flowback data and determining one or more data instances of the historic flowback data that have features that are similar to that of the active flowback data. Based on the flowback cluster, one or more thresholds may be determined in order to generate an alert when the active flowback data exceeds the thresholds.
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