Patents

US 11520077 B2: Automated reservoir modeling using deep generative networks

Granted

2022-12-06

Filed

2019-11-15 application 16685700

Type

Utility · 28 claims

Elsewhere

Google Patents ↗ · USPTO patent document ↗ · USPTO Patent Center record ↗

Abstract

A method for generating one or more reservoir models using machine learning is provided. Generating reservoir models is typically a time-intensive idiosyncratic process. However, machine learning may be used to generate one or more reservoir models that characterize the subsurface. The machine learning may use geological data, geological concepts, reservoir stratigraphic configurations, and one or more input geological models in order to generate the one or more reservoir models. As one example, a generative adversarial network (GAN) may be used as the machine learning methodology. The GAN includes two neural networks, including a generative network (which generates candidate reservoir models) and a discriminative network (which evaluates the candidate reservoir models), contest with each other in order to generate the reservoir models.

Source: PVGPATDIS, file of 2026-04-10 (ipg221206.xml).

Assignees

Inventors

CPC categories

Cooperative Patent Classification, as currently assigned (one row per subclass).

Assignments and security interests

No recorded assignments or security interests on file for this patent.

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