LITHOLOGY PREDICTION IN SEISMIC DATA

    公开(公告)号:US20220391716A1

    公开(公告)日:2022-12-08

    申请号:US17775460

    申请日:2020-01-23

    Abstract: A lithology prediction that uses a geological age model as an input to a machine learning model. The geological age model is capable of separating and recoding different seismic packages derived from the horizon interpretation. Once the machine learning model has been trained, a validation may be performed to determine the quality of the machine learning model. The quality may be improved by refining the training of the machine learning model. The lithology prediction generated by the machine learning model that utilizes the geological age model provides an improved lithology prediction that more accurately reflects the subterranean formation of an area of interest.

    GEOLOGICAL DATABASE MANAGEMENT USING SIGNATURES FOR HYDROCARBON EXPLORATION

    公开(公告)号:US20220188338A1

    公开(公告)日:2022-06-16

    申请号:US17123908

    申请日:2020-12-16

    Abstract: A system is described for determining an analogue geological feature. The system may include a processor and a non-transitory computer-readable medium comprising instructions that are executable by the processor to cause the processor to perform various operations. The system may generate, by extracting parameter signatures for geological features, a database including parameters about geological features associated with parameter signatures. The system may receive data including parameters and a feature-type about a geological feature of interest. The system may generate a signature including values for a subset of the feature-of-interest parameters selected based on the geological feature of interest for the feature-of-interest using the data. The system may execute a comparison of the feature signature to the parameter signatures included in the database for identifying an analogue geological feature for the feature of interest. The system may output a subset of parameters for the analogue for use in subterranean exploration.

    GLOBAL SURFACE PALEO-TEMPERATURE MODELING TOOL

    公开(公告)号:US20190310392A1

    公开(公告)日:2019-10-10

    申请号:US16340491

    申请日:2016-12-29

    Abstract: A method, a tool, and a system for modeling sediment surface paleo-temperature are provided. The method includes: determining a latitudinal temperature gradient of a location for a time period in the geologic past based on a depositional environment of the location during the time period; determining a surface temperature of the location during the time period using the latitudinal temperature gradient and a latitude of the location during the time period; and modifying the surface temperature at the location during the time period based on an altitude of the location during the time period.

Patent Agency Ranking