Invention Grant
- Patent Title: Effective representation of complex three-dimensional simulation results for real-time operations
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Application No.: US16642452Application Date: 2017-12-26
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Publication No.: US12061980B2Publication Date: 2024-08-13
- Inventor: Andrey Filippov , Jianxin Lu , Avinash Wesley , Keshava P. Rangarajan , Srinath Madasu
- Applicant: Landmark Graphics Corporation
- Applicant Address: US TX Houston
- Assignee: Landmark Graphics Corporation
- Current Assignee: Landmark Graphics Corporation
- Current Assignee Address: US TX Houston
- Agency: Parker Justiss, P.C.
- Agent Michael Jenney
- International Application: PCT/US2017/068443 2017.12.26
- International Announcement: WO2019/132864A 2019.07.04
- Date entered country: 2020-02-27
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06F30/23 ; G06F30/27 ; G06F30/28 ; G06F113/08 ; G06T17/20

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.
Public/Granted literature
- US20200320386A1 Effective Representation of Complex Three-Dimensional Simulation Results for Real-Time Operations Public/Granted day:2020-10-08
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