- 专利标题: Machine learning mud pulse recognition networks
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申请号: US17665999申请日: 2022-02-07
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公开(公告)号: US11725505B2公开(公告)日: 2023-08-15
- 发明人: Dingding Chen , Li Gao , Joni Polili Lie , Paravastu Badrinarayanan , Faisal Farooq Shah , Bipin K. Pillai , Murali Krishna Thottempudi
- 申请人: Halliburton Energy Services, Inc.
- 申请人地址: US TX Houston
- 专利权人: Halliburton Energy Services, Inc.
- 当前专利权人: Halliburton Energy Services, Inc.
- 当前专利权人地址: US TX Houston
- 代理机构: Parker Justiss, P.C.
- 代理商 Benjamin Ford
- 主分类号: E21B47/18
- IPC分类号: E21B47/18 ; G06N20/00
摘要:
This disclosure presents a process for communications in a borehole containing a fluid or drilling mud, where a conventional mud pulser can be utilized to transmit data to a transducer. The transducer, or a communicatively coupled computing system, can perform pre-processing steps to correct the received data using an average of a moving time window of the received data, and then normalize the corrected data. The corrected data can then be utilized as inputs into a machine learning mud pulse recognition network where the data can be classified and an ideal or clean pulse waveform can be overlaid the corrected data. The overlay and the corrected data can be fed into a conventional decoder or decoded by the disclosed process. The decoded data can then be communicated to another system and used as inputs, such as to a well site controller to enable adjustments to well site operation parameters.
公开/授权文献
- US20220195868A1 MACHINE LEARNING MUD PULSE RECOGNITION NETWORKS 公开/授权日:2022-06-23
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