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    Fractured reservoir simulation
    31.
    发明授权
    Fractured reservoir simulation 有权

    公开(公告)号：US11886784B2

    公开(公告)日：2024-01-30

    申请号：US18068007

    申请日：2022-12-19

    申请人： Schlumberger Technology Corporation

    发明人： Hussein Mustapha

    IPC分类号： G06F30/28 ,  E21B43/26

    CPC分类号： G06F30/28 ,  E21B43/26 ,  E21B2200/20

    摘要： Simulating fluid flow in a fractured reservoir includes generating a grid for a fractured reservoir model that includes a fracture and a matrix to obtain a generated grid. Cross-flow equilibrium elements are generated based on the generated grid. A volume expansion parameter is selected for the cross flow equilibrium elements, and used, along with physical properties, pore volume and transmissibility multipliers. The physical properties are included in the cross flow equilibrium elements. A fluid flow in the fractured reservoir model is simulated using the pore volume and transmissibility multipliers and a fracture relative permeability curve to obtain a result, which is presented. The fluid flow is calculated for the cross flow equilibrium elements.

    VISCOUS FLUID SIMULATION METHOD BASED ON YIELD CRITERION CONSTRAINT
    32.
    发明公开
    VISCOUS FLUID SIMULATION METHOD BASED ON YIELD CRITERION CONSTRAINT 审中-公开

    公开(公告)号：US20240028800A1

    公开(公告)日：2024-01-25

    申请号：US18375786

    申请日：2023-10-02

    申请人： BEIHANG UNIVERSITY

    发明人： Yang GAO ,  Aimin HAO ,  Xueguang XIE ,  Shuai LI ,  Jin LI

    IPC分类号： G06F30/28 ,  G06F30/25

    CPC分类号： G06F30/28 ,  G06F30/25 ,  G06F2111/04

    摘要： The embodiments of the present disclosure disclose a viscous fluid simulation method based on yield criterion constraints. The method comprises: initializing a viscous fluid simulation scenario; determining a particle velocity after a time step based on an implicit fluid particle model; determining a particle temperature after the time step by simulating a heat conduction process; correcting the particle velocity based on the particle temperature, thus achieving temperature dependent viscous fluid flow phenomena simulation based on yield criterion constraints, and expanding the range of simulation types.

    Method for forming a film or a curable composition, apparatus, and storage medium
    33.
    发明授权
    Method for forming a film or a curable composition, apparatus, and storage medium 有权

    公开(公告)号：US11880638B2

    公开(公告)日：2024-01-23

    申请号：US17106938

    申请日：2020-11-30

    申请人： CANON KABUSHIKI KAISHA

    发明人： Shintaro Narioka ,  Yuichiro Oguchi

    IPC分类号： G06F30/28 ,  G03F7/00 ,  G06F111/10 ,  G06F113/08

    CPC分类号： G06F30/28 ,  G03F7/0002 ,  G06F2111/10 ,  G06F2113/08

    摘要： A simulation method predicts a behavior of a curable composition in a process of bringing droplets of the curable composition arranged on first and second members into contact with each other, and forming a film of the curable composition on the first member. The method includes inputting a physical property value of a gas between the first and second members, inputting a movement profile of the second member with respect to the first member when bringing the droplets of the curable composition on the first and second members into contact with each other, obtaining a pressure of the gas between the first and second members based on the physical property value and the input movement profile, and predicting, based on the pressure, an amount of a residual gas confined among the droplets by the contact between the droplets and the second member.

    PERFORMANCE EVALUATION METHOD OF LNG AMBIENT AIR VAPORIZER
    35.
    发明公开
    PERFORMANCE EVALUATION METHOD OF LNG AMBIENT AIR VAPORIZER 审中-公开

    公开(公告)号：US20240012968A1

    公开(公告)日：2024-01-11

    申请号：US18217692

    申请日：2023-07-03

    申请人： NORTH CHINA MUNICIPAL ENGINEERING DESIGN & RESEARCH INSTITUTE CO., LTD.

    发明人： Wenxue GAO ,  Yingjie HU ,  Rongsong YAN ,  Yan WANG ,  Qingwei MIAO ,  Lin YANG ,  Mingchang YANG

    IPC分类号： G06F30/28 ,  G06F30/23

    CPC分类号： G06F30/28 ,  G06F30/23

    摘要： The present disclosure discloses a performance evaluation method of a LNG ambient air vaporizer, comprising: step 1, performing a site test on an actually-operating LNG AAV and obtaining its parameters, performing a fluid-thermal coupling calculation and simulation of the LNG AAV by use of FEA software, then performing model modification based on the test results; step 2, performing fluid-thermal-structure coupling calculation of an AAV for validation in the FEA software, adding a submodel module for optimization and validation tests; step 3, performing fluid-thermal-structure coupling calculation on the LNG AAV to be evaluated under a design operation condition and an operation condition of the AAV to be put into service in a certain region, and evaluating the LNG AAV according to the results. The present disclosure can evaluate vaporization performance and fatigue life of the AAV simultaneously and has good operability and economical efficiency.

    A MACHINE LEARNING BASED APPROACH TO WELL TEST ANALYSIS
    36.
    发明公开
    A MACHINE LEARNING BASED APPROACH TO WELL TEST ANALYSIS 审中-公开

    公开(公告)号：US20230409783A1

    公开(公告)日：2023-12-21

    申请号：US18253340

    申请日：2021-11-17

    申请人： Schlumberger Technology Corporation

    发明人： Mandar Shrikant KULKARNI ,  Guru Prasad NAGARAJ ,  Prashanth PILLAI

    IPC分类号： G06F30/27 ,  G06F30/28 ,  E21B47/06

    CPC分类号： G06F30/27 ,  E21B2200/20 ,  E21B47/06 ,  G06F30/28

    摘要： A method involves obtaining query pressure transient analysis (PTA) data from a well associated with a reservoir, and obtaining a selected class of physics models from a multitude of classes of physics models using a first machine learning model operating on the query PTA data. A physics model in at least one of the multitude of classes of physics models includes a well model and a reservoir model. The well model and the reservoir model are parameterized with model parameters having model parameter values. The method further involves obtaining a multitude of model parameter value estimates to form a parameterized query physics model of the selected class of physics models, using a second machine learning model operating on the query PTA data; and providing the parameterized query physics model to a user.

    MARINE DYNAMIC ENVIRONMENT SIMULATION TEST SYSTEM AND TEST METHOD
    37.
    发明公开
    MARINE DYNAMIC ENVIRONMENT SIMULATION TEST SYSTEM AND TEST METHOD 审中-公开

    公开(公告)号：US20230409765A1

    公开(公告)日：2023-12-21

    申请号：US17819343

    申请日：2022-08-12

    申请人： Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) ,  Sun Yat-sen University

    发明人： Fuming WANG ,  Chengchao Guo ,  Haibo Wang ,  Dingfeng Cao

    IPC分类号： G06F30/13 ,  G06F30/28

    CPC分类号： G06F30/13 ,  G06F30/28

    摘要： A marine dynamic environment simulation test system and a test method are provided. The system includes a test chamber, a seawater erosion unit, a climate simulation unit and a force loading device. The bottom of the test chamber is provided with a simulated seabed structure model for supporting a test piece. The seawater erosion unit includes a sedimentation tank containing seawater and a circulation mechanism. The circulation mechanism is capable of making the seawater in the sedimentation tank circulate in the sedimentation tank and the test chamber and controlling the water level and the flow rate of the seawater in the test chamber. The climate simulation unit is capable of performing at least one of ultraviolet irradiation, high temperature irradiation, sea wind simulation or rain and fog simulation on the test piece. The force loading device loads force in a preset direction on the test piece.

    Efficient Neural Style Transfer For Fluid Simulations
    38.
    发明公开
    Efficient Neural Style Transfer For Fluid Simulations 审中-公开

    公开(公告)号：US20230376656A1

    公开(公告)日：2023-11-23

    申请号：US18137270

    申请日：2023-04-20

    申请人： Disney Enterprises, Inc.

    发明人： Vinicius Da Costa De Azevedo ,  Silvia Nauer ,  Joshua Aurand ,  Raphael François Ortiz

    IPC分类号： G06F30/28

    CPC分类号： G06F30/28

    摘要： A system includes a hardware processor, and a system memory storing a software code and a machine learning (ML) model trained to apply a stylization to an image. The hardware processor executes the software code to receive a first sequence of images and style data describing a desired stylization of content depicted by the first sequence of images. The hardware processor further executes the software code to stylize the content, using the ML model, to provide a stylized content having the desired stylization, wherein stylizing includes applying an exponential moving average (EMA) temporal smoothing algorithm to sequential image pairs of the first sequence of images to generate a second sequence of images providing a depiction of the content having the desired stylization, and output the stylized content having the desired stylization.