Patents by Inventor Jingwen Zheng
Jingwen Zheng 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).
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Patent number: 12223711Abstract: A computing system receives an indication of an energy project. The computing system monitors satellite image data of the energy project. The computing system determines that a first activity has been initiated for the energy project based on a change in satellite image data. The computing system monitors telemetry data associated with a location corresponding to the energy project and the satellite image data of the energy project. The computing system converts the telemetry data associated with the location corresponding to the energy project to a telemetry activity index. The computing system converts the satellite image data associated with the energy project to a satellite activity index. The computing system determines that the first activity has ended for the energy project based on changes in at least one of the telemetry activity index and the pad activity index.Type: GrantFiled: May 27, 2021Date of Patent: February 11, 2025Assignee: RS Energy Group Topco, Inc.Inventors: Jingwen Zheng, Fanchi Meng, Jiarao Huang, Curtis Hess
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Patent number: 12067503Abstract: Embodiments disclosed herein generally relate to a method and system for oil and gas predictive analytics. A computer system receives a set of production information for a well located in a region. The computing system generates a set of general reference groups comprising one or more reference wells for the region. The computing system determines whether the set of production information for the well includes the threshold amount of production information. The computing system selects a subset of reference wells from the general reference groups based on one or more traits of the well. The computing system generates a reference curve based on the set of production information associated with each reference well in the subset of reference wells. The computing system fits a decline curve to the reference curve, to determine an estimated ultimate recovery of the well.Type: GrantFiled: July 17, 2023Date of Patent: August 20, 2024Assignee: RS Energy Group Topco, Inc.Inventors: Jingwen Zheng, Qi Zong, Stephen Michael Main
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Publication number: 20240013073Abstract: Embodiments disclosed herein generally relate to a method and system for oil and gas predictive analytics. A computer system receives a set of production information for a well located in a region. The computing system generates a set of general reference groups comprising one or more reference wells for the region. The computing system determines whether the set of production information for the well includes the threshold amount of production information. The computing system selects a subset of reference wells from the general reference groups based on one or more traits of the well. The computing system generates a reference curve based on the set of production information associated with each reference well in the subset of reference wells. The computing system fits a decline curve to the reference curve, to determine an estimated ultimate recovery of the well.Type: ApplicationFiled: July 17, 2023Publication date: January 11, 2024Inventors: Jingwen Zheng, Qi Zong, Stephen Michael Main
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Patent number: 11748644Abstract: Embodiments disclosed herein generally relate to a method and system for oil and gas predictive analytics. A computer system receives a set of production information for a well located in a region. The computing system generates a set of general reference groups comprising one or more reference wells for the region. The computing system determines whether the set of production information for the well includes the threshold amount of production information. The computing system selects a subset of reference wells from the general reference groups based on one or more traits of the well. The computing system generates a reference curve based on the set of production information associated with each reference well in the subset of reference wells. The computing system fits a decline curve to the reference curve, to determine an estimated ultimate recovery of the well.Type: GrantFiled: October 5, 2022Date of Patent: September 5, 2023Assignee: RS Energy Group Topco, Inc.Inventors: Jingwen Zheng, Qi Zong, Stephen Michael Main
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Publication number: 20230023088Abstract: Embodiments disclosed herein generally relate to a method and system for oil and gas predictive analytics. A computer system receives a set of production information for a well located in a region. The computing system generates a set of general reference groups comprising one or more reference wells for the region. The computing system determines whether the set of production information for the well includes the threshold amount of production information. The computing system selects a subset of reference wells from the general reference groups based on one or more traits of the well. The computing system generates a reference curve based on the set of production information associated with each reference well in the subset of reference wells. The computing system fits a decline curve to the reference curve, to determine an estimated ultimate recovery of the well.Type: ApplicationFiled: October 5, 2022Publication date: January 26, 2023Inventors: Jingwen Zheng, Qi Zong, Stephen Michael Main
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Patent number: 11494679Abstract: Embodiments disclosed herein generally relate to a method and system for oil and gas predictive analytics. A computer system receives a set of production information for a well located in a region. The computing system generates a set of general reference groups comprising one or more reference wells for the region. The computing system determines whether the set of production information for the well includes the threshold amount of production information. The computing system selects a subset of reference wells from the general reference groups based on one or more traits of the well. The computing system generates a reference curve based on the set of production information associated with each reference well in the subset of reference wells. The computing system fits a decline curve to the reference curve, to determine an estimated ultimate recovery of the well.Type: GrantFiled: April 26, 2019Date of Patent: November 8, 2022Assignee: RS Energy Group Topco, Inc. CAInventors: Jingwen Zheng, Qi Zong, Stephen Michael Main
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Publication number: 20210374404Abstract: A computing system receives an indication of an energy project. The computing system monitors satellite image data of the energy project. The computing system determines that a first activity has been initiated for the energy project based on a change in satellite image data. The computing system monitors telemetry data associated with a location corresponding to the energy project and the satellite image data of the energy project. The computing system converts the telemetry data associated with the location corresponding to the energy project to a telemetry activity index. The computing system converts the satellite image data associated with the energy project to a satellite activity index. The computing system determines that the first activity has ended for the energy project based on changes in at least one of the telemetry activity index and the pad activity index.Type: ApplicationFiled: May 27, 2021Publication date: December 2, 2021Inventors: Jingwen Zheng, Fanchi Meng, Jiarao Huang, Curtis Hess
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Publication number: 20190332960Abstract: Embodiments disclosed herein generally relate to a method and system for oil and gas predictive analytics. A computer system receives a set of production information for a well located in a region. The computing system generates a set of general reference groups comprising one or more reference wells for the region. The computing system determines whether the set of production information for the well includes the threshold amount of production information. The computing system selects a subset of reference wells from the general reference groups based on one or more traits of the well. The computing system generates a reference curve based on the set of production information associated with each reference well in the subset of reference wells. The computing system fits a decline curve to the reference curve, to determine an estimated ultimate recovery of the well.Type: ApplicationFiled: April 26, 2019Publication date: October 31, 2019Inventors: Jingwen Zheng, Qi Zong, Stephen Michael Main
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Patent number: 9292799Abstract: Methods and systems for predicting failures in an artificial lift system are disclosed. One method includes extracting one or more features from a dataset including time sampled performance of a plurality of artificial lift systems disposed across a plurality of different oil fields, the dataset including data from failed and normally operating artificial lift systems. The method also includes forming a learning model based on identified pre-failure signatures in the extracted features, the learning model configured to predict a failure of an artificial lift system based on observation of one of the identified pre-failure signatures in operational data received from the artificial lift system.Type: GrantFiled: March 14, 2013Date of Patent: March 22, 2016Assignees: Chevron U.S.A. Inc., University of Southern CaliforniaInventors: Yintao Liu, Ke-Thia Yao, Cauligi S. Raghavendra, Anqi Wu, Dong Guo, Jingwen Zheng, Lanre Olabinjo, Oluwafemi Balogun, Iraj Ershaghi
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Publication number: 20140244552Abstract: Methods and systems for predicting failures in an artificial lift system are disclosed. One method includes extracting one or more features from a dataset including time sampled performance of a plurality of artificial lift systems disposed across a plurality of different oil fields, the dataset including data from failed and normally operating artificial lift systems. The method also includes forming a learning model based on identified pre-failure signatures in the extracted features, the learning model configured to predict a failure of an artificial lift system based on observation of one of the identified pre-failure signatures in operational data received from the artificial lift system.Type: ApplicationFiled: March 14, 2013Publication date: August 28, 2014Applicants: University of Southern California, Chevron U.S.A. Inc.Inventors: Yintao Liu, Ke-Thia Yao, Cauligi S. Raghavenda, Anqi Wu, Dong Guo, Jingwen Zheng, Lanre Olabinjo, Oluwafemi Balogun, Iraj Ershaghi