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公开(公告)号：US11959373B2
公开(公告)日：2024-04-16
申请号：US17047837
申请日：2018-08-02
Applicant: Landmark Graphics Corporation
Inventor： Keshava Rangarajan , Joseph Blake Winston , Srinath Madasu , Xi Wang , Yogendra Narayan Pandey , Wei Chiu , Jeffery Padgett , Aimee Jackson Taylor
CPC classification number: E21B44/02 , E21B44/00 , E21B47/07 , E21B49/00 , G05B13/041 , G05B19/4155 , H04Q9/00 , E21B43/26 , E21B2200/22 , G05B2219/45129
Abstract: 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.
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公开(公告)号：US11598197B2
公开(公告)日：2023-03-07
申请号：US16637263
申请日：2018-04-05
Applicant: Landmark Graphics Corporation
Inventor： Keshava Rangarajan , Joseph Blake Winston , Anuj Jain , Xi Wang
Abstract: A method of managing oilfield activity with a control system is provided having a plurality of virtual sensors and integrating the virtual sensors into a virtual sensor network. The method includes determining interdependencies among the virtual sensors, obtaining operational information from the virtual sensors, and providing virtual sensor output to the control system based on the determined interdependencies and the operational information.
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Patent Agency Ranking
公开(公告)号：US11346202B2
公开(公告)日：2022-05-31
申请号：US16968705
申请日：2018-06-27
Applicant: LANDMARK GRAPHICS CORPORATION
Inventor： Greg Daniel Brumbaugh , Youpeng Huang , Janaki Vamaraju , Joseph Blake Winston , Aimee Jackson Taylor , Keshava Rangarajan , Avinash Wesley
Abstract: A drill bit subsystem can include a drill bit, a processor, and a non-transitory computer-readable medium for storing instructions and for being positioned downhole with the drill bit. The instructions of the non-transitory computer-readable medium can include a machine-teachable module and a control module that are executable by the processor. The machine-teachable module can receive depth data and rate of drill bit penetration from one or more sensors in a drilling operation, and determine an estimated lithology of a formation at which the drill bit subsystem is located. The control module can use the estimated lithology to determine an updated location of the drill bit subsystem, and control a direction of the drill bit using the updated location and a drill plan.
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公开(公告)号：US20200378236A1
公开(公告)日：2020-12-03
申请号：US16968705
申请日：2018-06-27
Applicant: LANDMARK GRAPHICS CORPORATION
Inventor： Greg Daniel Brumbaugh , Youpeng Huang , Janaki Vamaraju , Joseph Blake Winston , Aimee Jackson Taylor , Keshava Rangarajan , Avinash Wesley
Abstract: A drill bit subsystem can include a drill bit, a processor, and a non-transitory computer-readable medium for storing instructions and for being positioned downhole with the drill bit. The instructions of the non-transitory computer-readable medium can include a machine-teachable module and a control module that are executable by the processor. The machine-teachable module can receive depth data and rate of drill bit penetration from one or more sensors in a drilling operation, and determine an estimated lithology of a formation at which the drill bit subsystem is located. The control module can use the estimated lithology to determine an updated location of the drill bit subsystem, and control a direction of the drill bit using the updated location and a drill plan.
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公开(公告)号：US11868890B2
公开(公告)日：2024-01-09
申请号：US17714247
申请日：2022-04-06
Applicant: Landmark Graphics Corporation , EMC IP Holding Company LLC
Inventor： Chandra Yeleshwarapu , Jonas F. Dias , Angelo Ciarlini , Romulo D. Pinho , Vinicius Gottin , Andre Maximo , Edward Pacheco , David Holmes , Keshava Rangarajan , Scott David Senften , Joseph Blake Winston , Xi Wang , Clifton Brent Walker , Ashwani Dev , Nagaraj Sirinivasan
CPC classification number: G06N3/08 , G06F9/48 , G06F9/4843 , G06F9/4881 , G06F9/50 , G06F9/5061 , G06F9/5066 , G06F9/5077 , G06F9/5083 , G06N3/02 , G06N3/04 , G06N3/086 , G06F2209/501 , G06F2209/5011 , G06F2209/5019
Abstract: A computer implemented method, computer program product, and system for managing execution of a workflow comprising a set of subworkflows, comprising optimizing the set of subworkflows using a deep neural network, wherein each subworkflow of the set of subworkflows has a set of tasks, wherein each task of the sets of tasks has a requirement of resources of a set of resources; wherein each task of the sets of tasks is enabled to be dependent on another task of the sets of tasks, training the deep neural network by: executing the set of subworkflows, collecting provenance data from the execution, and collecting monitoring data that represents the state of said set of resources, wherein the training causes the neural network to learn relationships between the states of said set of resources, the said sets of tasks, their parameters and the obtained performance, optimizing an allocation of resources of the set of resources to each task of the sets of tasks to ensure compliance with a user-defined quality metric based on the deep neural network output.
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公开(公告)号：US11725489B2
公开(公告)日：2023-08-15
申请号：US16338972
申请日：2017-04-27
Applicant: LANDMARK GRAPHICS CORPORATION
Inventor： Joseph Blake Winston , Brent Charles Houchens , Feifei Zhang , Avinash Wesley , Andrew Shane Elsey , Jonathan Nguyen , Keshava Rangarajan , Olivier Germain
CPC classification number: E21B43/12 , E21B43/30 , G05B13/00 , G06Q10/06313 , G06Q50/02 , E21B2200/20 , E21B2200/22
Abstract: Systems, methods, and computer-readable media are described for intelligent, real-time monitoring and managing of changes in oilfield equilibrium to optimize production of desired hydrocarbons and economic viability of the field. In some examples, a method can involve generating, based on a topology of a field of wells, a respective graph for the wells, each respective graph including computing devices coupled with one or more sensors and/or actuators. The method can involve collecting, via the computing devices, respective parameters associated with one or more computing devices, sensors, actuators, and/or models, and identifying a measured state associated with the computing devices, sensors, actuators, and/or models. Further, the method can involve automatically generating, based on the respective graph and respective parameters, a decision tree for the measured state, and determining, based on the decision tree, an automated adjustment for modifying production of hydrocarbons and/or an economic parameter of the hydrocarbon production.
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公开(公告)号：US20210115778A1
公开(公告)日：2021-04-22
申请号：US17047837
申请日：2018-08-02
Applicant: Landmark Graphics Corporation
Inventor： Keshava Rangarajan , Joseph Blake Winston , Srinath Madasu , Xi Wang , Yogendra Narayan Pandey , Wei Chiu , Jeffery Padgett , Aimee Jackson Taylor
IPC: E21B44/02 , H04Q9/00 , E21B49/00 , E21B47/07 , G05B19/4155
Abstract: 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.
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