Patents by Inventor Avinash WESLEY
Avinash WESLEY 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: 11725489Abstract: 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.Type: GrantFiled: April 27, 2017Date of Patent: August 15, 2023Assignee: Landmark Graphics CorporationInventors: Joseph Blake Winston, Brent Charles Houchens, Feifei Zhang, Avinash Wesley, Andrew Shane Elsey, Jonathan Nguyen, Keshava Rangarajan, Olivier Germain
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Publication number: 20230095708Abstract: Aspects and features of this disclosure relate to projecting physical drilling parameters to control a drilling operation. A computing system applies Bayesian optimization to a model incorporating the input data using varying values for an adverse drilling factor to produce a target function. The computing system determines a minimum value for the target function. The computing system provides a projected value for the physical drilling parameters based on the minimum value. The computing system generates an alert responsive to determining that the projected value for the physical drilling parameters exceeds a prescribed limit.Type: ApplicationFiled: March 26, 2020Publication date: March 30, 2023Inventors: Avinash Wesley, Robello Samuel, Manish K. Mittal
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Publication number: 20220335184Abstract: Systems, methods, and computer-readable media for a well construction activity graph builder. An example method can include obtaining a stream of events associated with a wellbore; obtaining mapping metadata identifying data points to be included in a graph data model from a store of data associated with the wellbore; generating the graph data model based on the stream of events, the mapping metadata, and the data points identified in the mapping metadata, the graph data model including nodes representing logical entities associated with the data points, the nodes having interconnections based on data relationships defined in the mapping metadata, each logical entity corresponding to a set of data points from the data points; and generating a view of the graph data model, the view depicting at least some of the nodes and interconnections in the graph data model.Type: ApplicationFiled: September 4, 2019Publication date: October 20, 2022Applicant: LANDMARK GRAPHICS CORPORATIONInventors: Avinash WESLEY, Amir BAR, David CRAWSHAY
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Publication number: 20220307366Abstract: An automated offset well analytics engine generates offset well rankings for a prospect well. The engine aggregates data for offset wells and the prospect wells is across multiple disparate data sources corresponding to a user-specified scope. The engine generates features comparing the offset wells to the prospect well are using a combination of machine-learning based models and risk analysis. Offset wells are ranked by feature and further ranked across features using a weighted feature ranking map. Feature weights are iteratively trained using a reinforcement learning model in a feedback loops with a well expert. A prospect well casing schema and bottom hole assembly is designed using automatically generated offset well rankings.Type: ApplicationFiled: January 16, 2020Publication date: September 29, 2022Inventors: Anandhan M. Selveindran, Avinash Wesley, Nitish Damodar Chaudhari, Helmut Andres Pirela
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Publication number: 20220268139Abstract: Systems and methods for auto-detection and classification of rig activities from trend analysis of sensor data are provided. Sensor data from rig equipment may be obtained during wellsite operations. The sensor data may be analyzed to identify one or more index points where a trend in the sensor data changes. The sensor data may be segmented into a first set of time segments representing macro activities performed during the well site operations, based on the one or more identified index points. Statistical analysis may be performed on the sensor data within each first time segment to identify points where statistical properties of the sensor data change. Each first time segment may he segmented into a second set of time segments representing micro activities performed during the wellsite operations, based on the identified points of change in the statistical properties.Type: ApplicationFiled: October 29, 2019Publication date: August 25, 2022Inventors: Avinash Wesley, Amab Dhara, Temidayo Babatunde, Yuandao Chi
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Patent number: 11346202Abstract: 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.Type: GrantFiled: June 27, 2018Date of Patent: May 31, 2022Assignee: Landmark Graphics CorporationInventors: Greg Daniel Brumbaugh, Youpeng Huang, Janaki Vamaraju, Joseph Blake Winston, Aimee Jackson Taylor, Keshava Rangarajan, Avinash Wesley
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Publication number: 20210285309Abstract: 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.Type: ApplicationFiled: April 27, 2017Publication date: September 16, 2021Applicant: LANDMARK GRAPHICS CORPORATIONInventors: Joseph Blake WINSTON, Brent Charles HOUCHENS, Feifei ZHANG, Avinash WESLEY, Andrew Shane ELSEY, Jonathan NGUYEN, Keshava RANGARAJAN, Olivier GERMAIN
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Publication number: 20210165963Abstract: Systems, methods, and computer-readable media for automatic classification of drilling reports with deep natural language processing. A method may involve obtaining drilling reports associated with respective well drilling or operation activities, and based on the drilling reports, generating a plurality of word vectors, wherein each word vector from the plurality of word vectors represents a respective word in the drilling reports. The method can further involve partitioning sentences in the drilling reports into respective words and, for each sentence, identifying respective word vectors from the plurality of word vectors, the respective word vectors corresponding to the respective words associated with the sentence. The method can involve classifying via a neural network, the sentences in a drilling report into at least one of respective events, respective symptoms, respective actions, and respective results. The method can also classify sentences according to any set of labels of interest.Type: ApplicationFiled: December 14, 2016Publication date: June 3, 2021Applicant: LANDMARK GRAPHICS CORPORATIONInventors: Julio Hoffimann MENDES, Youli MAO, Aimee TAYLOR, Avinash WESLEY
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Publication number: 20200378236Abstract: 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.Type: ApplicationFiled: June 27, 2018Publication date: December 3, 2020Inventors: Greg Daniel Brumbaugh, Youpeng Huang, Janaki Vamaraju, Joseph Blake Winston, Aimee Jackson Taylor, Keshava Rangarajan, Avinash Wesley
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Publication number: 20200320386Abstract: System and methods for training neural network models for real-time flow simulations are provided. Input data is acquired. The input data includes values for a plurality of input parameters associated with a multiphase fluid flow. The multiphase fluid flow is simulated using a complex fluid dynamics (CFD) model, based on the acquired input data. The CFD model represents a three-dimensional (3D) domain for the simulation. An area of interest is selected within the 3D domain represented by the CFD model. A two-dimensional (2D) mesh of the selected area of interest is generated. The 2D mesh represents results of the simulation for the selected area of interest. A neural network is then trained based on the simulation results represented by the generated 2D mesh.Type: ApplicationFiled: December 26, 2017Publication date: October 8, 2020Inventors: Andrey Filippov, Jianxin Lu, Avinash Wesley, Keshava P. Rangarajan, Srinath Madasu
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Publication number: 20190323323Abstract: Systems, methods, and computer-readable media are described for the mutual improvement of physics-based and data-driven models related to an oilfield. These may involve generating, via a processor, with an oilfield related condition as a first input, a first output based on one of a physics-based model or a data-based model; generating, using the first input or a second input, a second output based on the other of the physics-based model or the data-based model not used to generate the first output; and modifying, automatically, at least one of the physics-based model, data-driven model, the first input or the second input, based on the first output or second output.Type: ApplicationFiled: April 27, 2017Publication date: October 24, 2019Inventors: Feifei ZHANG, Brent Charles HOUCHENS, Joseph Blake WINSTON, Michael Keith REDMAN, Avinash WESLEY, Ethan MYERS, Kaiji LU
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Patent number: 10436010Abstract: Tight spots in movements of a drill string in an oil well are identified by comparing a large interval hookload moving average to a short interval hookload moving average, comparing a large interval bit depth moving average to a short interval bit depth moving average, and DBSCANing the tight spots to identify a fully-stuck event.Type: GrantFiled: November 5, 2014Date of Patent: October 8, 2019Assignee: Landmark Graphics CorporationInventors: Avinash Wesley, Peter C. Yu
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Publication number: 20190066479Abstract: A system and method for monitoring and predicting a gas leak at a facility involving receiving, via a server, real-time data measured via a plurality of sensors spaced throughout a facility; scrubbing, via the server, the real-time data by removing a plurality of spikes, a plurality white noise, or a combination thereof, from the real-time data to yield a set of scrubbed data; determining a gas leak location within the facility based on the scrubbed data; conducting a gas leak simulation based on the scrubbed data; determining a potential gas leak distribution based on the scrubbed data and the gas leak simulation; calculating a risk profile based on a set of predetermined risk parameters; generating a notification based on the potential gas leak distribution and the risk profile; and transmitting over a network, the risk profile and the potential gas leak distribution to at least one mobile device.Type: ApplicationFiled: November 19, 2015Publication date: February 28, 2019Applicant: HALLIBURTON ENERGY SERVICES, INC.Inventors: Avinash WESLEY, Jianxin LU, Ilyas UYANIK
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Patent number: 10060246Abstract: An example method includes receiving a data set containing combinations of drilling parameter values and operating condition values for a drilling system corresponding to each combination of drilling parameter values. At least one of a frequency and a duration of use may be determined for each of the combinations of drilling parameter values in the data set. For at least some of the combinations of drilling parameter values, a contour map identifying the combinations of drilling parameter values, the operating condition values corresponding to the combinations of drilling parameter values, and at least one of the frequency and the duration of use may be displayed for at least some of the combinations of drilling parameter values.Type: GrantFiled: December 29, 2014Date of Patent: August 28, 2018Assignee: Landmark Graphics CorporationInventors: Giulia Toti, Peter C. Yu, Avinash Wesley
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Publication number: 20160356144Abstract: An example method includes receiving a data set containing combinations of drilling parameter values and operating condition values for a drilling system corresponding to each combination of drilling parameter values. At least one of a frequency and a duration of use may be determined for each of the combinations of drilling parameter values in the data set. For at least some of the combinations of drilling parameter values, a contour map identifying the combinations of drilling parameter values, the operating condition values corresponding to the combinations of drilling parameter values, and at least one of the frequency and the duration of use may be displayed for at least some of the combinations of drilling parameter values.Type: ApplicationFiled: December 29, 2014Publication date: December 8, 2016Inventors: GIULIA TOTI, PETER C. YU, AVINASH WESLEY
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Publication number: 20160290121Abstract: Tight spots in movements of a drill string in an oil well are identified by comparing a large interval hookload moving average to a short interval hookload moving average, comparing a large interval bit depth moving average to a short interval bit depth moving average, and DBSCANing the tight spots to identify a fully-stuck event.Type: ApplicationFiled: November 5, 2014Publication date: October 6, 2016Inventors: Avinash WESLEY, Peter C. YU