The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 15, 2024

Filed:

May. 22, 2020
Applicant:

Landmark Graphics Corporation, Houston, TX (US);

Inventors:

Andrew Davies, West Hagbourne, GB;

Elizabeth Atar, Wetherby, GB;

Masoud Ghaderi Zefreh, Edinburgh, GB;

Graham Baines, Abingdon, GB;

Benjamin Greselle, Didcot, GB;

Assignee:

Landmark Graphics Corporation, Houston, TX (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
E21B 41/00 (2006.01); G01V 20/00 (2024.01); G06N 5/04 (2023.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06N 5/04 (2013.01); E21B 41/00 (2013.01); G01V 20/00 (2024.01); G06N 20/00 (2019.01);
Abstract

A system includes a processor and a memory. The memory includes instructions that are executable by the processor to access training data of a modern feature of interest from direct observations, remotely determined data, or a combination thereof. The instructions are also executable to compile parameter data from at least one model simulation that impacts the modern feature of interest. The instructions are executable to train a machine-learning model to generate a predictive model that matches the training data of the modern feature of interest using the compiled parameter data as input. Furthermore, the instructions are executable to predict a feature of interest in a past time period using the predictive model and at least one historical model simulation that impacts the feature of interest. Additionally, the instructions are executable to execute a processing operation for facilitating hydrocarbon exploration based on the predicted feature of interest from the predictive model.


Find Patent Forward Citations

Loading…