Patents by Inventor Murali Krishna Thottempudi

Murali Krishna Thottempudi has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Machine learning mud pulse recognition networks
    Patent number: 11725505
    Abstract: 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.
    Type: Grant
    Filed: February 7, 2022
    Date of Patent: August 15, 2023
    Assignee: Halliburton Energy Services, Inc.
    Inventors: Dingding Chen, Li Gao, Joni Polili Lie, Paravastu Badrinarayanan, Faisal Farooq Shah, Bipin K. Pillai, Murali Krishna Thottempudi
  • MACHINE LEARNING MUD PULSE RECOGNITION NETWORKS
    Publication number: 20220195868
    Abstract: 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.
    Type: Application
    Filed: February 7, 2022
    Publication date: June 23, 2022
    Inventors: Dingding Chen, Li Gao, Joni Polili Lie, Paravastu Badrinarayanan, Faisal Farooq Shah, Bipin K. Pillai, Murali Krishna Thottempudi
  • Machine learning mud pulse recognition networks
    Patent number: 11255187
    Abstract: 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.
    Type: Grant
    Filed: December 22, 2020
    Date of Patent: February 22, 2022
    Assignee: Halliburton Energy Services, Inc.
    Inventors: Dingding Chen, Li Gao, Joni Polili Lie, Paravastu Badrinarayanan, Faisal Farooq Shah, Bipin K. Pillai, Murali Krishna Thottempudi