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公开(公告)号:US20220397027A1
公开(公告)日:2022-12-15
申请号:US17661943
申请日:2022-05-04
Applicant: SCHLUMBERGER TECHNOLOGY CORPORATION
Inventor: Valerian Guillot , Fatma Mahfoudh , Josselin Kherroubi , Anderson Schmidt
Abstract: Planning a wellbore includes determining drillability values from surface drilling parameters for an offset wellbore. The drillability values are used to prepare a protein code sequence of protein codes assigned to a range of drillability values. The protein code sequence from the offset wellbore is used to develop a protein code sequence for a planned wellbore. A machine learning model analyzes the offset surface drilling parameters and protein code sequence, and provides target surface drilling parameters for the planned wellbore.
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公开(公告)号:US20230082520A1
公开(公告)日:2023-03-16
申请号:US17929412
申请日:2022-09-02
Applicant: Schlumberger Technology Corporation
Inventor: Aymeric Lilian Jan , Fatma Mahfoudh , Gordana Draskovic , Cheolkyun Jeong , Yingwei Yu
IPC: E21B44/00 , E21B47/095 , E21B47/10
Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for detecting a washout or other anomaly event in a wellbore. In particular, in one or more embodiments, the disclosed systems receive a plurality of measurements including a measured flow rate into the wellbore, a measured weight on a drill bit in the wellbore, a measured depth of the drill bit in the wellbore, and a measured pressure at a standpipe of the wellbore. In one or more embodiments, the disclosed systems estimate one or more parameters of a physical model for determining a theoretical estimate of the standpipe pressure. In one or more embodiments, the disclosed systems determine a probability that the washout or other anomaly event is occurring in the wellbore based at least partially upon the measurements and the theoretical estimate of the standpipe pressure.
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公开(公告)号:US20230017966A1
公开(公告)日:2023-01-19
申请号:US17811931
申请日:2022-07-12
Applicant: Schlumberger Technology Corporation
Inventor: Gregory Michael Skoff , Crispin Chatar , Velizar Vesselinov , Cheolkyun Jeong , Yingwei Yu , Georgia Kouyialis , Fatma Mahfoudh
Abstract: A method can include receiving input for a drilling operation that utilizes a bottom hole assembly and drilling fluid; generating a set of offset drilling operations using historical feature data, where the historical feature data are processed by computing feature distances; performing an assessment of the offset drilling operations as characterized by at least feature distance-based similarity between the drilling operation and the offset drilling operations; and outputting at least one recommendation for selection of one or more of a component of the bottom hole assembly and the drilling fluid based on the assessment.
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