Abstract: Method, apparatus, and computer program product are provided for retrieving analogues using topological knowledge representation (TKR). In some embodiments, a TKR input query is built and/or validated using a domain-specific knowledge base (KB). A search database containing candidate analogues and corresponding pre-built TKRs is then searched to retrieve at least one analogue of the TKR input query using statistical analysis. In some embodiments, a system may build the TKR input query based on a seismic dataset. For example, the system may receive a seismic dataset, segment the seismic dataset and classify each region using a computer vision (CV) database and the KB, and build the TKR input query based on the segmented and classified seismic dataset. In some embodiments, the TKR input query may be input and/or edited by a user. For example, the TKR input query may be input and/or edited by the user and validated using the KB.
Type:
Grant
Filed:
August 30, 2019
Date of Patent:
July 12, 2022
Assignees:
International Business Machines Corporation, Petrogal Brasil S.A.
Inventors:
Emilio Ashton Vital Brazil, Rodrigo da Silva Ferreira, Andrea Britto Mattos Lima, Renato Fontoura de Gusmão Cerqueira, Viviane Torres da Silva, Rogerio A. de Paula, Marco Daniel Melo Ferraz, Astrid De Jesus Torres Fernandez, Joana de Noronha Ribeiro de Almeida, Dario Sergio Cersósimo
Abstract: Geological risk assessment includes receiving a first set of geological factors associated with a first site. Data pertaining to at least one second site with a second set of geological factors similar to first set of geological factors of the first site is retrieved. A user input indicating a comparison of the first set of geological factors to the second set of geological factors received, and a level of knowledge of the first site is determined based upon the comparison. A suggested probability of success for the first site is determined based upon the level of knowledge. A probability of success is determined for each of the geological factors of the second set of geological factors. A probability of success for the first site is determined. The probability of success of the first site is assessed based upon the level of knowledge of the first site, the suggested probability of success for the first site, and the probability of success for each of the second set of geological factors.
Type:
Application
Filed:
September 24, 2018
Publication date:
March 26, 2020
Applicants:
International Business Machines Corporation, Petrogal Brasil, S.A . (GALP)
Inventors:
Carlos Raoni de Alencar Mendes, Rafael Rossi de Mello Brandao, Renato Fontoura de Gusmão Cerqueira, Bruno da Costa Flach, Francisco José Cordeiro Silva, Susana de Lurdes Alve Fernandes, Carolina André Libório, João Pedro Casacão, Joana de Noronha Ribeiro de Almeida, Dario Sergio Cersósimo