LEARNING HYDROCARBON DISTRIBUTION FROM SEISMIC IMAGE

    公开(公告)号:US20240069228A1

    公开(公告)日:2024-02-29

    申请号:US17896748

    申请日:2022-08-26

    IPC分类号: G01V1/30 E21B49/00 G01V1/34

    摘要: The disclosure relates to determining rock properties of subterranean formations and learning the distribution of hydrocarbons in the formations. A geometrical element spread function is disclosed that quantifies distortion of the geology as seen by the geophysicists who process seismic images of the subterranean formations. A method of determining the rock properties using the seismic images and synthetic images is provided. In one example, the method includes: (1) obtaining seismic data from a subterranean formation using a seismic acquisition system, (2) generating one or more seismic images of the subterranean formation using the seismic data, (3) creating one or more synthetic images from the one or more seismic images, and (4) determining rock properties of the subterranean formation based on the one or more seismic images and the one or more synthetic images.

    INFERRING SUBSURFACE KNOWLEDGE FROM SUBSURFACE INFORMATION

    公开(公告)号:US20240069237A1

    公开(公告)日:2024-02-29

    申请号:US18305601

    申请日:2023-04-24

    IPC分类号: G01V1/48 G01V1/46

    CPC分类号: G01V1/48 G01V1/46

    摘要: A geoscience knowledge system can be obtained, where the geoscience knowledge system can include one or more of publicly available information, industry information, proprietary information, or task specific information. The geoscience knowledge system can be represented as a graph, graph data, network nodes, image data, tokenized data, or textualized data. Subsurface information can be obtained such as from seismic images or other types of sensor data. The subsurface information can be transformed or pre-processed, such as denoising, to make it suitable for use by the geoscience knowledge system. Then subsurface knowledge can be inferred from the subsurface information using the geoscience knowledge system. The subsurface knowledge can provided estimates, approximations, or value of the subterranean formation of interest in order to calculate an economic model parameter, such as a hydrocarbon distribution proximate the subterranean formation of interest.