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).

  • Patent number: 11725489
    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.
    Type: Grant
    Filed: April 27, 2017
    Date of Patent: August 15, 2023
    Assignee: Landmark Graphics Corporation
    Inventors: Joseph Blake Winston, Brent Charles Houchens, Feifei Zhang, Avinash Wesley, Andrew Shane Elsey, Jonathan Nguyen, Keshava Rangarajan, Olivier Germain
  • Publication number: 20230095708
    Abstract: 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: Application
    Filed: March 26, 2020
    Publication date: March 30, 2023
    Inventors: Avinash Wesley, Robello Samuel, Manish K. Mittal
  • Publication number: 20220335184
    Abstract: 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: Application
    Filed: September 4, 2019
    Publication date: October 20, 2022
    Applicant: LANDMARK GRAPHICS CORPORATION
    Inventors: Avinash WESLEY, Amir BAR, David CRAWSHAY
  • Publication number: 20220307366
    Abstract: 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: Application
    Filed: January 16, 2020
    Publication date: September 29, 2022
    Inventors: Anandhan M. Selveindran, Avinash Wesley, Nitish Damodar Chaudhari, Helmut Andres Pirela
  • Publication number: 20220268139
    Abstract: 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: Application
    Filed: October 29, 2019
    Publication date: August 25, 2022
    Inventors: Avinash Wesley, Amab Dhara, Temidayo Babatunde, Yuandao Chi
  • Patent number: 11346202
    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.
    Type: Grant
    Filed: June 27, 2018
    Date of Patent: May 31, 2022
    Assignee: Landmark Graphics Corporation
    Inventors: Greg Daniel Brumbaugh, Youpeng Huang, Janaki Vamaraju, Joseph Blake Winston, Aimee Jackson Taylor, Keshava Rangarajan, Avinash Wesley
  • Publication number: 20210285309
    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.
    Type: Application
    Filed: April 27, 2017
    Publication date: September 16, 2021
    Applicant: LANDMARK GRAPHICS CORPORATION
    Inventors: Joseph Blake WINSTON, Brent Charles HOUCHENS, Feifei ZHANG, Avinash WESLEY, Andrew Shane ELSEY, Jonathan NGUYEN, Keshava RANGARAJAN, Olivier GERMAIN
  • Publication number: 20210165963
    Abstract: 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: Application
    Filed: December 14, 2016
    Publication date: June 3, 2021
    Applicant: LANDMARK GRAPHICS CORPORATION
    Inventors: Julio Hoffimann MENDES, Youli MAO, Aimee TAYLOR, Avinash WESLEY
  • Publication number: 20200378236
    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.
    Type: Application
    Filed: June 27, 2018
    Publication date: December 3, 2020
    Inventors: Greg Daniel Brumbaugh, Youpeng Huang, Janaki Vamaraju, Joseph Blake Winston, Aimee Jackson Taylor, Keshava Rangarajan, Avinash Wesley
  • Publication number: 20200320386
    Abstract: 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: Application
    Filed: December 26, 2017
    Publication date: October 8, 2020
    Inventors: Andrey Filippov, Jianxin Lu, Avinash Wesley, Keshava P. Rangarajan, Srinath Madasu
  • Publication number: 20190323323
    Abstract: 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: Application
    Filed: April 27, 2017
    Publication date: October 24, 2019
    Inventors: Feifei ZHANG, Brent Charles HOUCHENS, Joseph Blake WINSTON, Michael Keith REDMAN, Avinash WESLEY, Ethan MYERS, Kaiji LU
  • Patent number: 10436010
    Abstract: 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: Grant
    Filed: November 5, 2014
    Date of Patent: October 8, 2019
    Assignee: Landmark Graphics Corporation
    Inventors: Avinash Wesley, Peter C. Yu
  • Publication number: 20190066479
    Abstract: 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: Application
    Filed: November 19, 2015
    Publication date: February 28, 2019
    Applicant: HALLIBURTON ENERGY SERVICES, INC.
    Inventors: Avinash WESLEY, Jianxin LU, Ilyas UYANIK
  • Patent number: 10060246
    Abstract: 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: Grant
    Filed: December 29, 2014
    Date of Patent: August 28, 2018
    Assignee: Landmark Graphics Corporation
    Inventors: Giulia Toti, Peter C. Yu, Avinash Wesley
  • Publication number: 20160356144
    Abstract: 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: Application
    Filed: December 29, 2014
    Publication date: December 8, 2016
    Inventors: GIULIA TOTI, PETER C. YU, AVINASH WESLEY
  • Publication number: 20160290121
    Abstract: 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: Application
    Filed: November 5, 2014
    Publication date: October 6, 2016
    Inventors: Avinash WESLEY, Peter C. YU