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US-9372943-B2 · Jun 21, 2016 · US
Methods and systems for machine-learning based simulation of flow
US10198535B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10198535-B2 |
| Application number | US-201113805649-A |
| Country | US |
| Kind code | B2 |
| Filing date | May 19, 2011 |
| Priority date | Jul 29, 2010 |
| Publication date | Feb 5, 2019 |
| Grant date | Feb 5, 2019 |
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Abstract
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There is provided a method for modeling a hydrocarbon reservoir that includes generating a reservoir model comprising a plurality of sub regions. At least one of the sub regions is simulated using a training simulation to obtain a set of training parameters comprising state variables and boundary conditions of the at least one sub region. A machine learning algorithm is used to approximate, based on the set of training parameters, an inverse operator of a matrix equation that provides a solution to fluid flow through a porous media. The hydrocarbon reservoir can be simulated using the inverse operator approximated for the at least one sub region. The method also includes generating a data representation of a physical hydrocarbon reservoir can be generated in a non-transitory, computer-readable, medium based, at least in part, on the results of the simulation.
First claim
Opening claim text (preview).
What is claimed is: 1. A method for producing a hydrocarbon from a hydrocarbon reservoir, comprising: generating a reservoir model comprising a plurality of sub regions, wherein each of the plurality of sub regions are associated with a different portion of a hydrocarbon reservoir and each of the sub regions comprise a plurality of cells; selecting a sub region from the plurality of sub regions; looking up a best-fit approximation model for a matrix equation solution surrogate…
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Physics · mapped topic
- G06F17/5009Primary
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
- G06F30/23Primary
Physics · mapped topic
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Frequently asked questions
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- What does patent US10198535B2 cover?
- There is provided a method for modeling a hydrocarbon reservoir that includes generating a reservoir model comprising a plurality of sub regions. At least one of the sub regions is simulated using a training simulation to obtain a set of training parameters comprising state variables and boundary conditions of the at least one sub region. A machine learning algorithm is used to approximate, bas…
- Who is the assignee on this patent?
- Usadi Adam, Li Dachang, Parashkevov Rossen, and 4 more
- What technology area does this patent fall under?
- Primary CPC classification G06F17/5009. Mapped technology areas include Physics.
- When was this patent published?
- Publication date Tue Feb 05 2019 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
- What related patents are in patentsdb?
- We list 1 related publication on this page (citations in our corpus or others sharing the same primary CPC).