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1.
公开(公告)号:US20230417941A1
公开(公告)日:2023-12-28
申请号:US18447136
申请日:2023-08-09
申请人: Momentum AI LLC
CPC分类号: G01V1/42 , G01V1/301 , E21B41/00 , E21B43/26 , G01V1/50 , E21B47/095 , E21B49/00 , E21B47/14 , G01V2210/646 , E21B2200/22 , E21B47/06
摘要: System, method, and apparatus for classifying fracture quantity and quality of fracturing operation activities during hydraulic fracturing operations, the system comprising: a sensor coupled to a fracking wellhead, circulating fluid line, or standpipe of a well and configured to convert acoustic vibrations in fracking fluid in the fracking wellhead into an electrical signal; a memory configured to store the electrical signal; a converter configured to access the electrical signal from the memory and convert the electrical signal in a window of time into a current frequency domain spectrum; a machine-learning system configured to classify the current frequency domain spectrum, the machine-learning system having been trained on previous frequency domain spectra measured during previous hydraulic fracturing operations and previously classified by the machine-learning system; and a user interface configured to return a classification of the current frequency domain spectrum to an operator of the fracking wellhead.
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2.
公开(公告)号:US20230417940A1
公开(公告)日:2023-12-28
申请号:US18348739
申请日:2023-07-07
申请人: Momentum AI, LLC
CPC分类号: G01V1/42 , G01V1/301 , E21B41/00 , E21B43/26 , G01V1/50 , E21B47/095 , E21B49/00 , E21B47/14 , G01V2210/646 , E21B2200/22 , E21B47/06
摘要: This disclosure presents a system, method, and apparatus for preventing fracture communication between wells, the system comprising: a sensor coupled to a fracking wellhead, circulating fluid line, or standpipe of a well and configured to convert acoustic vibrations in fracking fluid in the well into an electrical signal; a memory configured to store the electrical signal; a machine-learning system configured to analyze current frequency components of the electrical signal in a window of time and to identify impending fracture communication between the well and an offset well, the machine-learning system having been trained on previous frequency components of electrical signals measured during previous instances of fracture communication between wells; and a user interface configured to return a notification of the impending fracture communication to an operator of the well.
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3.
公开(公告)号:US20230350091A1
公开(公告)日:2023-11-02
申请号:US18350960
申请日:2023-07-12
申请人: Momentum AI LLC
CPC分类号: G01V1/42 , G01V1/301 , E21B41/00 , E21B43/26 , G01V1/50 , E21B47/095 , E21B49/00 , E21B47/14 , G01V2210/646 , E21B2200/22 , E21B47/06
摘要: This disclosure presents systems, methods, and apparatus for determining cluster efficiency during hydraulic fracturing, the method comprising: measuring acoustic vibrations in fracking fluid in a fracking wellhead, circulating fluid line, or standpipe of a well; converting the acoustic vibrations into an electrical signal in a time domain; recording the electrical signal to memory; analyzing the electrical signal in the time domain for a window of time and identifying two amplitude peaks corresponding to a fracture initiation; measuring a time between the two amplitude peaks; dividing the time by two to give a result; multiplying the result by a speed of sound in the fracking fluid to give a distance between the fracture initiation and a plug at an end of a current fracking stage of the well; and returning a location of the fracture initiation to an operator based on the distance between the fracture initiation and the plug.
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