Patents by Inventor Yogendra Narayan PANDEY
Yogendra Narayan PANDEY 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: 11959373Abstract: Aspects of the present disclosure relate to projecting control parameters of equipment associated with forming a wellbore, stimulating the wellbore, or producing fluid from the wellbore. A system includes the equipment and a computing device. The computing device is operable to project a control parameter value of the equipment using an equipment control process, and to receive confirmation that the projected control parameter value is within an allowable operating range. The computing device is also operable to adjust the equipment control process based on the confirmation, and to control the equipment to operate at the projected control parameter value. Further, the computing device is operable to receive real-time data associated with the forming of the wellbore, the stimulating of the wellbore, or the producing fluid from the wellbore. Furthermore, the computing device is operable to adjust the equipment control process based on the real-time data.Type: GrantFiled: August 2, 2018Date of Patent: April 16, 2024Assignee: Landmark Graphics CorporationInventors: Keshava Rangarajan, Joseph Blake Winston, Srinath Madasu, Xi Wang, Yogendra Narayan Pandey, Wei Chiu, Jeffery Padgett, Aimee Jackson Taylor
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Patent number: 11906696Abstract: Systems and methods for modeling petroleum reservoir properties using a gridless reservoir simulation model are provided. Data relating to geological properties of a reservoir formation is analyzed. A tiered hierarchy of geological elements within the reservoir formation is generated at different geological scales, based on the analysis. The geological elements at each of the different geological scales in the tiered hierarchy are categorized. Spatial boundaries between the categorized geological elements are defined for each of the geological scales in the tiered hierarchy. A scalable and updateable gridless model of the reservoir formation is generated, based on the spatial boundaries defined for at least one of the geological scales in the tiered hierarchy.Type: GrantFiled: September 1, 2017Date of Patent: February 20, 2024Assignee: Landmark Graphics CorporationInventors: Jeffrey Marc Yarus, Rae Mohan Srivastava, Yevgeniy Zagayevskiy, Jin Fei, Yogendra Narayan Pandey
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Patent number: 11599790Abstract: Embodiments of the subject technology for deep learning based reservoir modelling provides for receiving input data comprising information associated with one or more well logs in a region of interest. The subject technology determines, based at least in part on the input data, an input feature associated with a first deep neural network (DNN) for predicting a value of a property at a location within the region of interest. Further, the subject technology trains, using the input data and based at least in part on the input feature, the first DNN. The subject technology predicts, using the first DNN, the value of the property at the location in the region of interest. The subject technology utilizes a second DNN that classifies facies based on the predicted property in the region of interest.Type: GrantFiled: July 21, 2017Date of Patent: March 7, 2023Assignee: Landmark Graphics CorporationInventors: Yogendra Narayan Pandey, Keshava Prasad Rangarajan, Jeffrey Marc Yarus, Naresh Chaudhary, Nagaraj Srinivasan, James Etienne
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Patent number: 11441404Abstract: A method for fracturing a formation is provided. Real-time fracturing data is acquired from a well bore during fracturing operation. The real-time fracturing data is processed using a recurrent neural network trained using historical data from analogous wells. A real-time response variable prediction is determined using the processed real-time fracturing data. Fracturing parameters for the fracturing operation are adjusted in real-time based on the real-time response variable prediction. The fracturing operation is performed using the fracturing parameters that were adjusted based on the real-time response variable prediction.Type: GrantFiled: April 12, 2018Date of Patent: September 13, 2022Assignee: Landmark Graphics CorporationInventors: Srinath Madasu, Yogendra Narayan Pandey, Keshava Rangarajan
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Patent number: 11250182Abstract: Target objects are simulated using different triangle mesh sizes to improve processing performance. To perform the simulation, a seed point for the target object within a constraint volume is determined, the seed point representing a vertex of a first triangle forming part of the target object. One or more hexagonal orbits of triangles adjacent the first triangle are propagated, whereby the hexagonal orbits of triangles form the target object. The size of each triangle is determined based upon dimensions of the target object, and the target object is generated.Type: GrantFiled: November 10, 2015Date of Patent: February 15, 2022Assignee: Landmark Graphics CorporationInventors: Jeffrey Marc Yarus, Rae Mohan Srivastava, Genbao Shi, Veronica Liceras, Yogendra Narayan Pandey, Zhaoyang Wang
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Publication number: 20210333433Abstract: Systems and methods for modeling petroleum reservoir properties using a gridless reservoir simulation model are provided. Data relating to geological properties of a reservoir formation is analyzed. A tiered hierarchy of geological elements within the reservoir formation is generated at different geological scales, based on the analysis. The geological elements at each of the different geological scales in the tiered hierarchy are categorized. Spatial boundaries between the categorized geological elements are defined for each of the geological scales in the tiered hierarchy. A scalable and updateable gridless model of the reservoir formation is generated, based on the spatial boundaries defined for at least one of the geological scales in the tiered hierarchy.Type: ApplicationFiled: September 1, 2017Publication date: October 28, 2021Inventors: Jeffrey Marc Yarus, Rae Mohan Srivastava, Yevgeniy Zagayevskiy, Jin Fei, Yogendra Narayan Pandey
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Publication number: 20210115778Abstract: Aspects of the present disclosure relate to projecting control parameters of equipment associated with forming a wellbore, stimulating the wellbore, or producing fluid from the wellbore. A system includes the equipment and a computing device. The computing device is operable to project a control parameter value of the equipment using an equipment control process, and to receive confirmation that the projected control parameter value is within an allowable operating range. The computing device is also operable to adjust the equipment control process based on the confirmation, and to control the equipment to operate at the projected control parameter value. Further, the computing device is operable to receive real-time data associated with the forming of the wellbore, the stimulating of the wellbore, or the producing fluid from the wellbore. Furthermore, the computing device is operable to adjust the equipment control process based on the real-time data.Type: ApplicationFiled: August 2, 2018Publication date: April 22, 2021Inventors: Keshava Rangarajan, Joseph Blake Winston, Srinath Madasu, Xi Wang, Yogendra Narayan Pandey, Wei Chiu, Jeffery Padgett, Aimee Jackson Taylor
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Publication number: 20210017845Abstract: A method for fracturing a formation is provided. Real-time fracturing data is acquired from a well bore during fracturing operation. The real-time fracturing data is processed using a recurrent neural network trained using historical data from analogous wells. A real-time response variable prediction is determined using the processed real-time fracturing data. Fracturing parameters for the fracturing operation are adjusted in real-time based on the real-time response variable prediction. The fracturing operation is performed using the fracturing parameters that were adjusted based on the real-time response variable prediction.Type: ApplicationFiled: April 12, 2018Publication date: January 21, 2021Inventors: Srinath MADASU, Yogendra Narayan PANDEY, Keshava RANGARAJAN
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Publication number: 20200248540Abstract: A method includes performing a first wellbore treatment operation of a wellbore, determining an operational attribute of the well in response to the first wellbore treatment operation, and determining a predicted response using a recurrent neural network and based on the operational attribute. The method also includes setting a controllable wellbore treatment attribute based, on the predicted response, and performing a second wellbore treatment operation of the wellbore based on the controllable well bore treatment attribute.Type: ApplicationFiled: December 18, 2017Publication date: August 6, 2020Inventors: Srinath Madasu, Yogendra Narayan Pandey, Keshava Prasad Rangarajan
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Publication number: 20200160173Abstract: Embodiments of the subject technology for deep learning based reservoir modelling provides for receiving input data comprising information associated with one or more well logs in a region of interest. The subject technology determines, based at least in part on the input data, an input feature associated with a first deep neural network (DNN) for predicting a value of a property at a location within the region of interest. Further, the subject technology trains, using the input data and based at least in part on the input feature, the first DNN. The subject technology predicts, using the first DNN, the value of the property at the location in the region of interest. The subject technology utilizes a second DNN that classifies facies based on the predicted property in the region of interest.Type: ApplicationFiled: July 21, 2017Publication date: May 21, 2020Inventors: Yogendra Narayan Pandey, Keshava Prasad Rangarajan, Jeffrey Marc Yarns, Naresh Chaudhary, Nagaraj Srinivasan, James Etienne
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Patent number: 10388065Abstract: Fracture networks are simulated using a large triangle mesh size for large fractures and a smaller triangle mesh size for small fractures. Input data defining parameters of one or more fractures are input, the fractures being comprised of a triangle mesh. A first triangle mesh size for the fractures is determined based upon the input data. A second smaller triangle mesh size is then determined based upon the input data. The fracture network is then simulated using the large and small triangle mesh sizes.Type: GrantFiled: November 10, 2015Date of Patent: August 20, 2019Assignee: Landmark Graphics CorporationInventors: Jeffrey Marc Yarus, Rae Mohan Srivastava, Genbao Shi, Veronica Liceras, Yogendra Narayan Pandey, Zhaoyang Wang
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Publication number: 20190080032Abstract: Target objects are simulated using different triangle mesh sizes to improve processing performance. To perform the simulation, a seed point for the target object within a constraint volume is determined, the seed point representing a vertex of a first triangle forming part of the target object. One or more hexagonal orbits of triangles adjacent the first triangle are propagated, whereby the hexagonal orbits of triangles form the target object. The size of each triangle is determined based upon dimensions of the target object, and the target object is generated.Type: ApplicationFiled: November 10, 2015Publication date: March 14, 2019Inventors: Jeffrey Marc Yarus, Rae Mohan Srivastava, Genbao Shi, Veronica Narayan Liceras, Yogendra Narayan Pandey, Zhaoyang Wang
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Patent number: 10176631Abstract: Target objects having undulating surfaces are simulated using different triangle mesh sizes to improve processing performance. To perform the simulation, a target object is generated using a triangle mesh formed by a plurality of triangles. The target object has an X, Y, and Z direction, wherein the Z direction is perpendicular to an X-Y plane of the target object. The undulating surface on the target object is generated using a Z value in the Z direction.Type: GrantFiled: November 10, 2015Date of Patent: January 8, 2019Assignee: Landmark Graphics CorporationInventors: Jeffrey Marc Yarus, Rae Mohan Srivastava, Genbao Shi, Veronica Liceras, Yogendra Narayan Pandey, Zhaoyang Wang
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Publication number: 20180276886Abstract: Target objects having undulating surfaces are simulated using different triangle mesh sizes to improve processing performance. To perform the simulation, a target object is generated using a triangle mesh formed by a plurality of triangles. The target object has an X, Y, and Z direction, wherein the Z direction is perpendicular to an X-Y plane of the target object. The undulating surface on the target object is generated using a Z value in the Z direction.Type: ApplicationFiled: November 10, 2015Publication date: September 27, 2018Inventors: Jeffrey Marc Yarus, Rae Mohan Srivastava, Genbao Shi, Veronica Liceras, Yogendra Narayan Pandey, Zhaoyang Wang
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Publication number: 20180276888Abstract: Fracture networks are simulated using a large triangle mesh size for large fractures and a smaller triangle mesh size for small fractures. Input data defining parameters of one or more fractures are input, the fractures being comprised of a triangle mesh. A first triangle mesh size for the fractures is determined based upon the input data. A second smaller triangle mesh size is then determined based upon the input data. The fracture network is then simulated using the large and small triangle mesh sizes.Type: ApplicationFiled: November 10, 2015Publication date: September 27, 2018Applicant: Landmark Graphics CorporationInventors: Jeffrey Marc Yarus, Rae Mohan Srivastava, Genbao Shi, Veronica Liceras, Yogendra Narayan Pandey, Zhaoyang Wang
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Publication number: 20170038489Abstract: A geomodeling method embodiment includes: (a) obtaining a model of a subsurface region having a reservoir, the model including a discrete fracture network; (b) determining an aperture map for each fracture in the discrete fracture network, each aperture map having aperture values based at least in part on a lateral dimension of the fracture; (c) for each of a plurality of cells in the model: (c1) identifying a portion of the discrete fracture network contained within the given cell; (c2) deriving a fracture permeability from aperture maps for the identified portion; and (c3) calculating a fracture porosity from aperture maps for the identified portion; and (d) displaying the fracture porosity and fracture permeability as a function of position throughout the sub surface region.Type: ApplicationFiled: April 6, 2015Publication date: February 9, 2017Applicant: Halliburton Energy Services, Inc.Inventors: Yogendra Narayan PANDEY, Genbao SHI, Jeffrey Marc YARUS, Veronica LICERAS