Patents Examined by Daniel E Miller
  • Patent number: 12118279
    Abstract: Techniques for simulating fluid flow on a computer that involve a stable entropy solver are described. The techniques include simulating activity of a fluid across a mesh, the activity of the fluid being simulated so as to model movement of particles across the mesh, storing, in a computer accessible memory, a set of state vectors for each mesh location in the mesh, each of the state vectors comprising a plurality of entries that correspond to particular momentum states of possible momentum states at a corresponding mesh location, simulating a time evolution of entropy of the flow by collecting incoming set of distributions from neighboring mesh locations for the collision operation, calculating by the computer scalar values in each location, determining outgoing distributions as a product of the collision operation and addition of a heat source, and modifying the flow by the computer performing for a time interval, an advection of the particles to subsequent mesh locations.
    Type: Grant
    Filed: February 13, 2019
    Date of Patent: October 15, 2024
    Assignee: Dassault Systemes Americas Corp.
    Inventors: Pradeep Gopalakrishnan, Raoyang Zhang, Hudong Chen
  • Patent number: 12014258
    Abstract: A method, device and a computer-readable storage medium for optimizing simulation data are provided. The method for optimizing simulation data can include: inputting the simulation data generated by a simulator to a first generative adversarial network comprising a migration model; and optimizing the simulation data generated by the simulator with the migration model to generate optimized simulation data. In an embodiment of the present application, the simulation data is optimized by the generative adversarial network to enable the simulation data closer to the real data in representation. Therefore, the quality and accuracy of the simulation data can be ensured, the validity and reliability of the simulation data can be improved at least to some extent, and the cost for constructing the simulator can also be reduced.
    Type: Grant
    Filed: July 11, 2019
    Date of Patent: June 18, 2024
    Assignee: Baidu Online Network Technology (Beijing) Co. Ltd.
    Inventors: Chenye Guan, Feihu Zhang, Ruigang Yang, Liang Wang, Yu Ma
  • Patent number: 11914671
    Abstract: Method and system are provided for uncertainty quantification analysis with efficient two dimensional (2D) random fields. The method may be used in a modeling system. The method may include providing a covariance matrix of a set of parameters with a covariance function describing an occurring real world phenomenon; and generating a random field based on the covariance matrix including a controlled rank reduction to produce a reduced-rank random field dataset provided as a data structure with data compression. Generating the random field applies rank reduction of a block circulant with circulant blocks (BCCB) representation of a covariance matrix obtained from the covariance matrix using existing symmetry of eigenvalues to eliminate redundant computations. The method may include outputting a reduced-rank random field dataset for use in a user-provided model of the modeling system for uncertainty quantification analysis and simulation of the real world phenomenon.
    Type: Grant
    Filed: October 1, 2018
    Date of Patent: February 27, 2024
    Assignee: International Business Machines Corporation
    Inventors: Malgorzata Zimon, Robert Sawko
  • Patent number: 11906696
    Abstract: 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: Grant
    Filed: September 1, 2017
    Date of Patent: February 20, 2024
    Assignee: Landmark Graphics Corporation
    Inventors: Jeffrey Marc Yarus, Rae Mohan Srivastava, Yevgeniy Zagayevskiy, Jin Fei, Yogendra Narayan Pandey
  • Patent number: 11783099
    Abstract: According to some embodiments, a surrogate model creation computer system includes a user interface to interact with a subject matter expert to create a scripted physics-based model workflow associated with an industrial asset. The surrogate model creation computer system further includes a surrogate model creation engine to automatically execute the scripted physics-based model workflow, in connection with a physics-based model of the industrial asset, to generate at least one response surface of the physics-based model workflow. The surrogate model creation engine may then use the response surface and a machine learning process to automatically create a surrogate model of the industrial asset. It may then be arranged to output the surrogate model for use by a substantially real-time analytics package associated with the industrial asset. According to some embodiments, scripting for a physics-based model workflow may also be automatically created.
    Type: Grant
    Filed: August 1, 2018
    Date of Patent: October 10, 2023
    Assignee: GENERAL ELECTRIC COMPANY
    Inventors: James Albert Tallman, Eric Tucker, Robert Zacharias, Andy Gallo, Vince Russo
  • Patent number: 11773709
    Abstract: A drilling well underground kick processing method and device are described.
    Type: Grant
    Filed: May 26, 2022
    Date of Patent: October 3, 2023
    Assignee: CHINA UNIVERSITY OF PETROLEUM (EAST CHINA)
    Inventors: Yonghai Gao, Baojiang Sun, Zhiyuan Wang, Hao Li, Yufa Su, Bangtang Yin, Xinxin Zhao, Xuerui Wang, Xiaohui Sun
  • Patent number: 11640145
    Abstract: Aiming at insufficient drying seafood on-board caused by hull swings, the present invention involves the establishment of location correction system for processing seafood transportation displaced by wind waves and anti-accumulation drying processing method. This invention employs CFD-DEM method to simulate the state and distribution of the material particles modulated by the deflector angle and wind speed. Finally, the optimized rotation angle of deflector and wind speed are obtained where material particles are equally distributed. Meanwhile, the uniform and fast drying of the marine products in the swinging hull are achieved. This invention shows the great advantages of high efficiency, automation and continuity.
    Type: Grant
    Filed: September 10, 2020
    Date of Patent: May 2, 2023
    Assignee: ZHEJIANG UNIVERSITY OF TECHNOLOGY
    Inventors: Yuting Ding, Xuxia Zhou, Shichen Zhu, Zhigang Ke, Long Lin, Yucong Zhang, FangRui Yu, Zhaoyong Lin, Ning Lin, Xia Xu
  • Patent number: 11614560
    Abstract: A method and system for outputting a state of a physical system using a calibrated model of the physical system, where the calibrated model is used to generate a model prediction. The system includes a plurality of sensors connected to a routing node are used to monitor measured data of the physical system. A first sensor of the plurality of sensors includes a logic module configured to determine an uncertainty quantification, and to combine the uncertainty quantification with the model prediction to output the state of the physical system.
    Type: Grant
    Filed: December 27, 2019
    Date of Patent: March 28, 2023
    Assignee: International Business Machines Corporation
    Inventors: Ernesto Arandia, Fearghal O'Donncha, Eli Michael Dow, Frank Liu, Campbell D Watson
  • Patent number: 11604909
    Abstract: A computational stratigraphy model may be run for M mini-steps to simulate changes in a subsurface representation across M mini-steps (from 0-th subsurface representation to M-th subsurface representation), with a mini-step corresponding to a mini-time duration. The subsurface representation after individual steps may be characterized by a set of computational stratigraphy model variables. Some or all of the computational stratigraphy model variables from running of the computational stratigraphy model may be provided as input to a machine learning model. The machine learning model may predict changes to the subsurface representation over a step corresponding to a time duration longer than the mini-time duration and output a predicted subsurface representation. The subsurface representation may be updated based on the predicted subsurface representation outputted by the machine learning model.
    Type: Grant
    Filed: December 6, 2019
    Date of Patent: March 14, 2023
    Assignee: Chevron U.S.A. Inc.
    Inventors: Tao Sun, Sebastien B. Strebelle, Ashley D. Harris, Maisha Lara Amaru, Lewis Li
  • Patent number: 11574082
    Abstract: Data is received that comprises a full model for a physical object having a rotating part and a stationary part. The physical object includes fields coupled between the rotating part and the stationary part. A mesh is then generated for a portion of the physical object that includes a rotating mesh and a stationary mesh. Thereafter, a partial simulation model is created based on the full model and the mesh. Coupling relationships are established for the fields between the rotating mesh and the stationary mesh in the partial simulation model. The fields are then solved based on the coupling relationship of the partial simulation model. Thereafter, fields of the full model can be recovered based on the solved fields. Related apparatus, systems, techniques and articles are also described.
    Type: Grant
    Filed: June 2, 2020
    Date of Patent: February 7, 2023
    Assignee: Ansys, Inc.
    Inventors: Chuan Lu, Qijin Liu, Ping Zhou
  • Patent number: 11542801
    Abstract: The present invention discloses an optimized design method for a temporary blocking agent to promote uniform expansion of fractures produced by fracturing in horizontal wells, which comprises the following steps: calculating a particle size and a volume range of a candidate temporary blocking agent in an applicable target area; establishing a hydraulic fracture expansion calculation model with complete fluid-solid coupling; calculating an optimal average particle size required for effective temporary blocking; determining the particle size distribution of the temporarily blocked particles according to the optimal average particle size; calculating the particle volume of the temporary blocking agent required for effective temporary blocking; and predicting and evaluating a fracturing effect after the preferred temporary blocking design is adopted in the target area.
    Type: Grant
    Filed: January 10, 2020
    Date of Patent: January 3, 2023
    Assignee: SOUTHWEST PETROLEUM UNIVERSITY
    Inventors: Xiyu Chen, Yongming Li, Jinzhou Zhao
  • Patent number: 11508463
    Abstract: A method of determining at least one property of a liquid system using a modeling system, the liquid system including at least one molecule in a solvent, the modeling system including a processor, comprises generating a quantum model of the liquid system using the processor of the modeling system, the quantum model including a device region and a lead region, the device region being spherical, paraboloid, cubic or arbitrary in shape and encompassing the at least one molecule and a portion of the solvent of the liquid system, the lead region encompassing a region of the solvent surrounding the device region, determining a first property of the device region by solving a first quantum equation for the device region using the processor of the system, determining the first property of the lead region by solving the first quantum equation under open boundary conditions for the lead region using the processor of the system, and combining the first property of the device region with the first property of the lead re
    Type: Grant
    Filed: June 29, 2018
    Date of Patent: November 22, 2022
    Assignee: Purdue Research Foundation
    Inventors: Tillmann Kubis, James Charles
  • Patent number: 11480698
    Abstract: A method and apparatus for generating a fluid saturation model for a subsurface region. One example method generally includes obtaining a model of the subsurface region; for each of a plurality of fluid types: flooding the subsurface region model with the fluid type to generate a flood model; and running a trial petrophysical inversion with the flood model to generate a trial petrophysical model; identifying potential fluid contact regions in the trial petrophysical models; partitioning the subsurface region model at the identified potential fluid contact regions; and constructing the fluid saturation model from the partitioned subsurface region model.
    Type: Grant
    Filed: July 17, 2019
    Date of Patent: October 25, 2022
    Assignee: ExxonMobil Upstream Research Company
    Inventors: David D. McAdow, Jan Schmedes, Ratnanabha Sain
  • Patent number: 11415975
    Abstract: According to embodiments, a system, method and non-transitory computer-readable medium are provided to receive time series data associated with one or more sensors values of a piece of machinery at a first time period, perform a non-linear transformation on the time-series data to produce one or more nonlinear temporal embedding outputs, and projecting each of the nonlinear temporal embedding outputs to a different dimension space to identify at least one causal relationship in the nonlinear temporal embedding outputs. The nonlinear embeddings are further projected to the original dimension space to produce one or more causality learning outputs. Nonlinear dimensional reduction is performed on the one or more causality learning outputs to produce reduced dimension causality learning outputs. The learning outputs are mapped to one or more predicted outputs which include a prediction of one or more of the sensor values at a second time period.
    Type: Grant
    Filed: September 9, 2019
    Date of Patent: August 16, 2022
    Assignee: GENERAL ELECTRIC COMPANY
    Inventors: Hao Huang, Feng Xue, Weizhong Yan
  • Patent number: 11334690
    Abstract: A method of determining a modified shape of a computer-aided design model of an object or a partition thereof is described. With the method, at least two reference landmarks are placed at a reference position with respect to the shape of the object or to the partition. An adjustment landmark is placed at the reference position of the corresponding reference landmark. The adjustment landmarks are displaced from the reference position to a modified position, and a displacement between the modified position and the reference position is obtained. The modified shape of the object or the partition is generated by modifying the shape of the object or the partition by applying a homogeneous function of the displacement to the computer-aided design model of the shape of the object or the partition.
    Type: Grant
    Filed: August 17, 2018
    Date of Patent: May 17, 2022
    Assignee: UNIVERSITÄT STUTTGART
    Inventors: Steffen Reichert, Long Nguyen, Achim Menges
  • Patent number: 11286763
    Abstract: A method and system is provided for drilling a wellbore that traverses a geological formation using a drilling tool. The method and system derives a plurality of formation models that characterize the geological formation. The number of formation models represent layer structures with a heterogeneity (such a fault) offset laterally at variable distance relative to position of the drilling tool. Simulated directional resistivity data of the drilling tool is derived from the plurality of formation models. Certain simulated directional resistivity data are combined or selected for processing as multi-dimensional cross-plot data. Measured directional resistivity data obtained by the drilling tool is used to evaluate the multi-dimensional cross-plot data to determine distance of the heterogeneity relative to position of the drilling tool.
    Type: Grant
    Filed: January 24, 2017
    Date of Patent: March 29, 2022
    Assignee: SCHLUMBERGER TECHNOLOGY CORPORATION
    Inventors: Dzevat Omeragic, Michael Thiel, Niloofar Farnoosh
  • Patent number: 11244094
    Abstract: Techniques for electromagnetic modelling of EM structures are described. Krylov subspace of a second EM structure is augmented with Eigen vectors of a first EM structure to form an augmented space. The second EM structure is a design variant of the first EM structure and the first EM structure is already EM modelled and simulated. Thereafter, Maxwell's equations for the second EM structure are solved using the augmented space.
    Type: Grant
    Filed: July 18, 2017
    Date of Patent: February 8, 2022
    Assignees: INDIAN INSTITUTE OF SCIENCE, ROBERT BOSCH ENGINEERING AND BUSINESS SOLUTIONS PRIVATE LIMITED
    Inventors: Dipanjan Gope, Gourav Chatterjee, Arkaprovo Das, Sreenivasulu Reddy Vedicherla
  • Patent number: 11186123
    Abstract: Exemplary embodiments described herein are directed to tire pitch sequence design methodologies that are usable to develop tire tread pitch sequences that will minimize objectionable tonal qualities and disperse the acoustic energy produced during tire rotation across a wider frequency band. The exemplary design methodologies employ iterative randomization of pitch subsequences, waveform generation and analysis of pitch subsequences and full pitch sequences, and associated sorting and ranking using an objective function with an applied penalty factor.
    Type: Grant
    Filed: August 28, 2018
    Date of Patent: November 30, 2021
    Assignee: American Kenda Rubber Industrial Co., Ltd.
    Inventor: Samuel B Knisley
  • Patent number: 11107014
    Abstract: Method and system for model fitting to hierarchical time series clusters is described. A plurality of time series to be analyzed are clustered as hierarchical time series clusters using Dynamic Time Warping (DTW) as the optimal distance measure to create time series hierarchical clusters. The method disclosed recognizes least dissimilarity time series in the hierarchical time series clusters, and a best fit model is identified for the time series. The same model is continued up the hierarchy along the branch of the hierarchical time series clusters till the model identified satisfies Error Tolerance (ET) and Error Difference (ED) criteria. The method reduces the model fitting time or model building time by more than 50%.
    Type: Grant
    Filed: August 9, 2018
    Date of Patent: August 31, 2021
    Assignee: Tata Consultancy Services Limited
    Inventor: Prasanta Kumar Panda