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公开(公告)号：US20220003108A1
公开(公告)日：2022-01-06
申请号：US17256164
申请日：2020-02-03
Applicant: LANDMARK GRAPHICS CORPORATION
Inventor： Mahdi Parak , Srinath Madasu , Egidio Marotta , Dale McMullin , Nishant Raizada
Abstract: System and methods for event prediction during drilling operations are provided. Regression data associated with coefficients of a predictive model are retrieved for a downhole event during a drilling operation along a planned path of a wellbore. The regression data includes a record of changes in historical coefficient values associated with prior occurrences of the event. As the wellbore is drilled over different stages of the operation, a value of an operating variable is estimated based on values of the coefficients and real-time data acquired during each stage. A percentage change in coefficient values adjusted between successive stages of the operation is tracked. An occurrence of the downhole event is estimated, based on a correlation between the percentage change tracked for at least one coefficient and a corresponding change in the historical coefficient values. The path of the wellbore is adjusted, based on the estimated occurrence of the event.
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公开(公告)号：US20210404313A1
公开(公告)日：2021-12-30
申请号：US16764558
申请日：2019-07-12
Applicant: Landmark Graphics Corporation
Inventor： Yashas Malur Saidutta , Srinath Madasu , Shashi Dande , Keshava Prasad Rangarajan , Raja Vikram R. Pandya , Jeffrey M. Yarus , Robello Samuel
Abstract: A drilling device may use a concurrent path planning process to create a path from a starting location to a destination location within a subterranean environment. The drilling device can receive sensor data. A probability distribution can be generated from the sensor data indicating one or more likely materials compositions that make up each portion of the subterranean environment. The probability distribution can be sampled, and for each sample, a drill path trajectory and drill parameters for the trajectory can be generated. A trained neural network may evaluate each trajectory and drill parameters to identify the most ideal trajectory based on the sensor data. The drilling device may then initiate drilling operations for a predetermined distance along the ideal trajectory.
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公开(公告)号：US20210388700A1
公开(公告)日：2021-12-16
申请号：US16899816
申请日：2020-06-12
Applicant: Landmark Graphics Corporation
Inventor： Srinath Madasu , Keshava Prasad Rangarajan
Abstract: Aspects and features of a system for providing parameters for shale field configuration include a processor, and instructions that are executable by the processor. The system, using the processor, can receive resource supply data associated with a shale field to be penetrated by a wellbore or wellbores and simulate production from the shale field using the resource supply data to determine constraints and decision variables. The system can optimize a multi-objective function of the decision variables subject to the constraints to produce controllable parameters for operating the shale field. As examples, these parameters may be related to formation or stimulation of the wellbore or wellbores at the shale field site.
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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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公开(公告)号：US12091959B2
公开(公告)日：2024-09-17
申请号：US17616227
申请日：2019-07-10
Applicant: Landmark Graphics Corporation
Inventor： Srinath Madasu , Shashi Dande , Keshava Prasad Rangarajan
IPC: E21B44/02
CPC classification number: E21B44/02 , E21B2200/22
Abstract: A system and method for controlling multiple drilling tools inside wellbores makes use of Bayesian optimization with range constraints. A computing device samples observed values for controllable drilling parameters such as weight-on-bit, mud flow rate and drill bit rotational speed in RPM and evaluates a selected drilling parameter such a rate-of-penetration and hydraulic mechanical specific energy for the observed values using an objective function. Range constraints including the physical drilling environment and the total power available to all drilling tools within the drilling environment can be continuously learned by the computing device as the range constraints change. A Bayesian optimization, subject to the range constraints and the observed values, can produce an optimized value for the controllable drilling parameters to achieve a predicted value for the drilling parameters. The system can then control the drilling tool using the optimized value to achieve the predicted value for the selected drilling parameter.
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Patent Agency Ranking
公开(公告)号：US11982171B2
公开(公告)日：2024-05-14
申请号：US17047109
申请日：2020-06-05
Applicant: Landmark Graphics Corporation
Inventor： Yashas Malur Saidutta , Raja Vikram R Pandya , Srinath Madasu , Shashi Dande , Keshava Rangarajan
CPC classification number: E21B44/00 , G06N3/092 , E21B2200/20 , E21B2200/22
Abstract: Systems and methods for automated drilling control and optimization are disclosed. Training data, including values of drilling parameters, for a current stage of a drilling operation are acquired. A reinforcement learning model is trained to estimate values of the drilling parameters for a subsequent stage of the drilling operation to be performed, based on the acquired training data and a reward policy mapping inputs and outputs of the model. The subsequent stage of the drilling operation is performed based on the values of the drilling parameters estimated using the trained model. A difference between the estimated and actual values of the drilling parameters is calculated, based on real-time data acquired during the subsequent stage of the drilling operation. The reinforcement learning model is retrained to refine the reward policy, based on the calculated difference. At least one additional stage of the drilling operation is performed using the retrained model.
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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：US11643918B2
公开(公告)日：2023-05-09
申请号：US16883328
申请日：2020-05-26
Applicant: Landmark Graphics Corporation
Inventor： Shashi Dande , Srinath Madasu , Keshava Prasad Rangarajan
CPC classification number: E21B44/00 , E21B44/02 , E21B45/00 , E21B47/12 , G06N3/088 , G06N20/00 , E21B2200/20 , E21B2200/22
Abstract: Aspects and features of a system for real-time drilling using automated data quality control can include a computing device, a drilling tool, sensors, and a message bus. The message bus can receive current data from a wellbore. The computing device can generate and use a feature-extraction model to provide revised data values that include those for missing data, statistical outliers, or both. The model can be used to produce controllable drilling parameters using highly accurate data to provide optimal control of the drilling tool. The real-time message bus can be used to apply the controllable drilling parameters to the drilling tool.
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公开(公告)号：US11414959B2
公开(公告)日：2022-08-16
申请号：US16754233
申请日：2017-11-13
Applicant: LANDMARK GRAPHICS CORPORATION
Inventor： Srinath Madasu , Keshava Prasad Rangarajan
Abstract: Aspects of the present disclosure relate to receiving data associated with a subterranean reservoir to be penetrated by a wellbore and training a neural network with both the data and a physics-based first principles model. The neural network is then used to make predictions regarding the properties of the subterranean reservoir, and these predictions are in turn used to determine one or more controllable parameters for equipment associated with a wellbore. The controllable parameters can then be used to control equipment for formation, stimulation, or production relative to the wellbore.
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公开(公告)号：US20220235645A1
公开(公告)日：2022-07-28
申请号：US17616227
申请日：2019-07-10
Applicant: Landmark Graphics Corporation
Inventor： Srinath Madasu , Shashi Dande , Keshava Prasad Rangarajan
IPC: E21B44/02
Abstract: A system and method for controlling multiple drilling tools inside wellbores makes use of Bayesian optimization with range constraints. A computing device samples observed values for controllable drilling parameters such as weight-on-bit, mud flow rate and drill bit rotational speed in RPM and evaluates a selected drilling parameter such a rate-of-penetration and hydraulic mechanical specific energy for the observed values using an objective function. Range constraints including the physical drilling environment and the total power available to all drilling tools within the drilling environment can be continuously learned by the computing device as the range constraints change. A Bayesian optimization, subject to the range constraints and the observed values, can produce an optimized value for the controllable drilling parameters to achieve a predicted value for the drilling parameters. The system can then control the drilling tool using the optimized value to achieve the predicted value for the selected drilling parameter.
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