Historical Geological Data for Machine-Learning

    公开(公告)号:US20240185119A1

    公开(公告)日:2024-06-06

    申请号:US18072990

    申请日:2022-12-01

    IPC分类号: G06N20/00

    CPC分类号: G06N20/00

    摘要: A system can be used to incorporate historical geological data into machine learning techniques. The system can receive historical geological data. The system can pre-process the historical geological data by applying a selected, relative-time pre-processing technique to the historical geological data with respect to time-attributed geological phenomena. The system can train a machine-learning model using the pre-processed historical geological data. The system can apply the trained machine-learning model to generate predictions of geological phenomena. The system can provide a user interface to provide a visualization of the predictions of geological phenomena.

    BRITTLE-BURST STRENGTH FOR WELL SYSTEM TUBULAR INTEGRITY

    公开(公告)号:US20240133288A1

    公开(公告)日:2024-04-25

    申请号:US17970862

    申请日:2022-10-20

    IPC分类号: E21B47/007

    CPC分类号: E21B47/007

    摘要: A system can receive data relating to a tubular of a well system. The system can execute a first module to determine first outputs. The system can execute a second module to determine second outputs based on the first outputs. The system can execute a third module to determine third outputs based on the first outputs. The second outputs can include a crack-initiation fracture pressure, and the third outputs can include a crack-propagation fracture pressure. The system can identify a brittle-burst strength of the tubular from among the second outputs, the third outputs, and a standard burst strength of the tubular. The system can provide the brittle-burst strength of the tubular to facilitate an adjustment to the tubular to optimize a wellbore operation associated with the well system.

    PACK OFF INDICATOR FOR A WELLBORE OPERATION
    5.
    发明公开

    公开(公告)号:US20240102376A1

    公开(公告)日:2024-03-28

    申请号:US17952785

    申请日:2022-09-26

    IPC分类号: E21B44/00 E21B47/04 G01V99/00

    摘要: A system can generate, via a software model, downhole pressure estimations and downhole debris estimations using caving parameters. Additionally, the system can generate, via the software model, settled caving volume percent estimations using the caving parameters. The system can determine a pack off volume percent using the downhole pressure estimations, the downhole debris estimations, and the settled caving volume percent estimations. The system can output, via a user interface, the pack off indicator and a subset of the caving parameters for use in adjusting a wellbore operation. The user interface can provide a plot of the pack off volume percent horizontally offset with respect to a plot of the subset of the caving parameters and a depth of the wellbore.

    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.

    Trip map for adjusting a tripping operation in a wellbore

    公开(公告)号:US11859485B1

    公开(公告)日:2024-01-02

    申请号:US17820181

    申请日:2022-08-16

    发明人: Robello Samuel

    IPC分类号: E21B44/00

    摘要: A system can generate a trip map for adjusting a tripping operation in a wellbore. The system can receive input data from a downhole tool in a wellbore. The system can determine parameters for the tripping operation. The system can determine an overall condition for an interval of the wellbore based on the parameters. The system can determine a status for the parameters and for the overall condition based on a difference between the parameters or the overall condition and a corresponding optimized value. The system can generate a trip map using the parameters and the overall condition. The trip map can include a background shape and a polygon that can be positioned on the background shape. The polygon can include corners corresponding to the parameters and overall condition that are positioned angularly around the background. The trip map can be output to adjust the tripping operation.

    Recommendation engine for automated seismic processing

    公开(公告)号:US11782177B2

    公开(公告)日:2023-10-10

    申请号:US17557287

    申请日:2021-12-21

    IPC分类号: G01V1/32 G01V1/28 G01V1/30

    摘要: System and methods for automated seismic processing are provided. Historical seismic project data associated with one or more historical seismic projects is obtained from a data store. The historical seismic project data is transformed into seismic workflow model data. At least one seismic workflow model is generated using the seismic workflow model data. Responsive to receiving seismic data for a new seismic project, an optimized workflow for processing the received seismic data is determined based on the at least one generated seismic workflow model. Geophysical parameters for processing the seismic data with the optimized workflow are selected. The seismic data for the new seismic project is processed using the optimized workflow and the selected geophysical parameters.