公开(公告)号：US20250111106A1

公开(公告)日：2025-04-03

申请号：US18477792

申请日：2023-09-29

Applicant: Landmark Graphics Corporation

Inventor： Mrigya Fogat ,  Estanislao Nicolás Kozlowski ,  Soumili Das ,  Shreshth Srivastav ,  Andrew Davies ,  Geetha Nair

IPC: G06F30/27

Abstract: In general, in one aspect, embodiments relate to a method that includes selecting one or more stratigraphic forward models from a digital analogue library, generating one or more k-layers based at least in part on the one or more selected stratigraphic forward models and one or more generative machine learning models, and predicting thicknesses of one or more geological properties based at least in part on the one or more k-layers.

公开(公告)号：US20240185119A1

公开(公告)日：2024-06-06

申请号：US18072990

申请日：2022-12-01

Applicant: Landmark Graphics Corporation

Inventor： Jean-Christophe Wrobel-Daveau ,  Graham Baines ,  Graeme Nicoll ,  Shashwat Verma ,  Mrigya Fogat

IPC: G06N20/00

CPC classification number: G06N20/00

Abstract: 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.