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公开(公告)号:WO2021102064A1
公开(公告)日:2021-05-27
申请号:PCT/US2020/061150
申请日:2020-11-19
Applicant: BELMONT TECHNOLOGY INC.
Inventor: LAIGLE, Jean-Marie , STALNAKER, Jack
Abstract: A method includes, in a computer, generating a discretized model of the subsurface formation in space and time. The discretized model comprises at least one physical parameter of the formation and a relationship between the physical parameter and the physical property. For each spatial location and at each time in the discretized model, a time independent solution to the relationship is calculated. A context is defined of a selected number of grid cells surrounding each spatial location. Dimensionality reduction is performed on each context. Each dimensionality reduced context is input into the computer as a separate earth model to train a machine learning system to determine a relationship between the dimensionality reduced context and the physical property. The trained machine learning system is used to estimate the physical property at each spatial location and at each time.
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公开(公告)号:WO2021178750A1
公开(公告)日:2021-09-10
申请号:PCT/US2021/021014
申请日:2021-03-05
Applicant: BELMONT TECHNOLOGY INC.
Inventor: LAIGLE, Jean-Marie , COLLANTES, Carlos , HARE, Eric
Abstract: A method for extracting information from documents includes accepting a document as input to a programmed computer. In the computer, text is processed to identify named entities in the text. In the computer, the identified named entities are disambiguated. In the computer, presence of concepts in the document is established using an artificial neural network trained using established relationships between predetermined named entities and predetermined concepts. In the computer, parts of the document where established concepts occur are classified. In the computer, the disambiguated entities are characterized according to attributes associated with the disambiguated entities. In the computer, the characterized entities are used to update a database comprising published information corresponding to the characterized entities and the established present concepts.
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