Coupling a simulator and at least one other simulator

    公开(公告)号:US12181623B2

    公开(公告)日:2024-12-31

    申请号:US16816333

    申请日:2020-03-12

    Abstract: Embodiments of methods, systems, and computer-readable media for coupling two or more simulators to simulate a coupled multi-physics model of a subsurface formation are provided. A coupling framework loads one or more simulators as shared libraries into a common process and a common memory space with a first simulator to create the coupled multi-physics model of the subsurface formation. During simulation, the coupling framework controls data exchange between the first simulator and the other simulator(s) through the common memory space and controls execution of the first simulator and the other simulator(s) responsive to the common process. In the event of two-way coupling, the coupling framework can receive feedback from the other simulator(s) and alter execution of the first simulator. In the event of grid misalignment, the coupling framework can map data between the first simulator and the other simulator(s) such as in a globally conservative (e.g., mass, energy, etc.) manner.

    Diverter test cell with replaceable insert

    公开(公告)号:US12140166B2

    公开(公告)日:2024-11-12

    申请号:US17465185

    申请日:2021-09-02

    Abstract: A diverter test cell can include an enclosure having a body and a cover removably coupled to the body, where the body forms a cavity that is enclosed by the cover, where the body includes an inlet port and an outlet port in communication with the cavity. The diverter test cell can also include an insert removably disposed within the cavity, where the insert has a channel that forms continuously from a first end to a second end of the insert, where the channel has first width at the first end and a second width at the second end, where the first width is less than the second width, where the first end of the insert is adjacent to the inlet port of the enclosure, and where the second end of the insert is adjacent to the outlet port of the enclosure.

    Artificial intelligence directed zeolite synthesis

    公开(公告)号:US12112836B2

    公开(公告)日:2024-10-08

    申请号:US17346463

    申请日:2021-06-14

    Abstract: A computer implemented method for designing chemical reactions for catalyst construction is described. The method includes extracting historical data including historic chemical reaction data and historic catalyst construction yield data and converting the historic chemical reaction data into graph models to represent molecular structure data. The method also includes incorporating the graph models into a chemical reaction algorithm and training a vectorized cognitive deep learning network of the chemical reaction algorithm by using the graph models and a property of the historic chemical reaction data to produce a catalyst chemical reaction model. Further, the method includes validating the catalyst chemical reaction model by inputting the historic chemical reaction data and comparing a generated property corresponding to the catalyst chemical reaction model to the property of the historic chemical reaction data. Lastly, the method includes updating the training of the catalyst chemical reaction model.

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