Patents by Inventor Antonio R. C. Paiva
Antonio R. C. Paiva has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 10963815Abstract: The systems and methods described herein include training a well performance predictor based on field data corresponding to a hydrocarbon field in which a well is to be drilled; generating a number of candidate well parameter combinations for the well and predicting a performance of the well for each candidate well parameter combination using the trained well performance predictor; and determining an optimized well parameter combination for the well such that the predicted performance of the well is maximized.Type: GrantFiled: March 13, 2018Date of Patent: March 30, 2021Assignee: ExxonMobil Upstream Research CompanyInventors: Damian N. Burch, Antonio R. C. Paiva, Rainer van den Bosch
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Patent number: 10641915Abstract: A method to classify one or more seismic surfaces or surface patches based on measurements from seismic data, including: obtaining, by a computer, a training set including a plurality of previously obtained and labeled seismic surfaces or surface patches and one or more training seismic attributes measured or calculated at, above, and/or below the seismic surfaces; obtaining, by the computer, one or more unclassified seismic surfaces or surface patches and one or more seismic attributes measured or calculated at, above, and/or below the unclassified seismic surfaces; learning, by the computer, a classification model from the previously obtained and labeled seismic surfaces or surface patches and the one or more training seismic attributes; and classifying, by the computer, the unclassified seismic surfaces or surface patches based on a comparison between the classification model and the unclassified seismic surfaces or surface patches.Type: GrantFiled: October 17, 2018Date of Patent: May 5, 2020Assignee: ExxonMobil Upstream Research CompanyInventors: Leslie A. Wahrmund, Antonio R. C. Paiva, Sara E. Hanson-Hedgecock
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Patent number: 10605940Abstract: A method to select a representative subset of a plurality of horizon surfaces or surface patches from geophysical subsurface imaging data, including: defining a score function on one or more horizon surfaces or surface patches; calculating, by a computer, the score for each of the plurality of horizon surfaces or surface patches with regard to other horizon surfaces or surface patches and whether the other horizon surfaces or surface patches have been selected or not for inclusion or exclusion in the subset of the plurality of horizon surfaces; selecting, by a computer, one or more of the plurality of horizon surfaces or surface patches to be included in the subset of the plurality of horizon surfaces or surface patches or excluded from the subset of the plurality of horizon surfaces or surface patches based on their respective scores; iteratively repeating the selecting and calculating steps until a stopping condition is reached and the subset of the plurality of horizon surfaces or surface patches is determType: GrantFiled: April 7, 2016Date of Patent: March 31, 2020Assignee: ExxonMobil Upstream Research CompanyInventors: Antonio R. C. Paiva, Amit Kushwaha, Pavel Dimitrov, Matthias G. Imhof
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Publication number: 20190113638Abstract: A method to classify one or more seismic surfaces or surface patches based on measurements from seismic data, including: obtaining, by a computer, a training set including a plurality of previously obtained and labeled seismic surfaces or surface patches and one or more training seismic attributes measured or calculated at, above, and/or below the seismic surfaces; obtaining, by the computer, one or more unclassified seismic surfaces or surface patches and one or more seismic attributes measured or calculated at, above, and/or below the unclassified seismic surfaces; learning, by the computer, a classification model from the previously obtained and labeled seismic surfaces or surface patches and the one or more training seismic attributes; and classifying, by the computer, the unclassified seismic surfaces or surface patches based on a comparison between the classification model and the unclassified seismic surfaces or surface patches.Type: ApplicationFiled: October 17, 2018Publication date: April 18, 2019Inventors: Leslie A. Wahrmund, Antonio R.C. Paiva, Sara E. Hanson-Hedgecock
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Patent number: 10139507Abstract: A method to classify one or more seismic surfaces or surface patches based on measurements from seismic data, including: obtaining, by a computer, a training set including a plurality of previously obtained and labeled seismic surfaces or surface patches and one or more training seismic attributes measured or calculated at, above, and/or below the seismic surfaces; obtaining, by the computer, one or more unclassified seismic surfaces or surface patches and one or more seismic attributes measured or calculated at, above, and/or below the unclassified seismic surfaces; learning, by the computer, a classification model from the previously obtained and labeled seismic surfaces or surface patches and the one or more training seismic attributes; and classifying, by the computer, the unclassified seismic surfaces or surface patches based on a comparison between the classification model and the unclassified seismic surfaces or surface patches.Type: GrantFiled: January 29, 2016Date of Patent: November 27, 2018Assignee: ExxonMobil Upstream Research CompanyInventors: Leslie A. Wahrmund, Antonio R. C. Paiva, Sara E. Hanson-Hedgecock
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Patent number: 9946974Abstract: Systems and methods for determining well parameters for optimization of well performance. The method includes training, via a computing system, a well performance predictor based on field data corresponding to a hydrocarbon field in which a well is to be drilled. The method also includes generating, via the computing system, a number of candidate well parameter combinations for the well and predicting, via the computing system, a performance of the well for each candidate well parameter combination using the trained well performance predictor. The method further includes determining, via the computing system, an optimized well parameter combination for the well such that the predicted performance of the well is maximized.Type: GrantFiled: May 19, 2014Date of Patent: April 17, 2018Assignee: ExxonMobil Upstream Research CompanyInventors: Damian N. Burch, Antonio R. C. Paiva, Rainer van den Bosch
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Patent number: 9824135Abstract: Method for decomposing a complexly shaped object in a data set, such as a geobody (31) in a seismic data volume, into component objects more representative of the true connectivity state of the system represented by the data set. The geobody is decomposed using a basis set of eigenvectors (33) of a connectivity matrix (32) describing the state of connectivity between voxels in the geobody. Lineal subspaces of the geobody in eigenvector space are associated with likely component objects (34), either by a human interpreter (342) cross plotting (341) two or more eigenvectors, or in an automated manner in which a computer algorithm (344) detects the lineal sub-spaces and the clusters within them.Type: GrantFiled: May 8, 2014Date of Patent: November 21, 2017Assignee: ExxonMobil Upstream Research CompanyInventors: Matthias Imhof, Pavel Dimitrov, Antonio R. C. Paiva
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Publication number: 20160377753Abstract: A method to select a representative subset of a plurality of horizon surfaces or surface patches from geophysical subsurface imaging data, including: defining a score function on one or more horizon surfaces or surface patches; calculating, by a computer, the score for each of the plurality of horizon surfaces or surface patches with regard to other horizon surfaces or surface patches and whether the other horizon surfaces or surface patches have been selected or not for inclusion or exclusion in the subset of the plurality of horizon surfaces; selecting, by a computer, one or more of the plurality of horizon surfaces or surface patches to be included in the subset of the plurality of horizon surfaces or surface patches or excluded from the subset of the plurality of horizon surfaces or surface patches based on their respective scores; iteratively repeating the selecting and calculating steps until a stopping condition is reached and the subset of the plurality of horizon surfaces or surface patches is determType: ApplicationFiled: April 7, 2016Publication date: December 29, 2016Inventors: Antonio R.C. Paiva, Amit Kushwaha, Pavel Dimitrov, Matthias G. Imhof
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Publication number: 20160313463Abstract: A method to classify one or more seismic surfaces or surface patches based on measurements from seismic data, including: obtaining, by a computer, a training set including a plurality of previously obtained and labeled seismic surfaces or surface patches and one or more training seismic attributes measured or calculated at, above, and/or below the seismic surfaces; obtaining, by the computer, one or more unclassified seismic surfaces or surface patches and one or more seismic attributes measured or calculated at, above, and/or below the unclassified seismic surfaces; learning, by the computer, a classification model from the previously obtained and labeled seismic surfaces or surface patches and the one or more training seismic attributes; and classifying, by the computer, the unclassified seismic surfaces or surface patches based on a comparison between the classification model and the unclassified seismic surfaces or surface patches.Type: ApplicationFiled: January 29, 2016Publication date: October 27, 2016Inventors: Leslie A. Wahrmund, ANTONIO R.C. PAIVA, SARA E. HANSON-HEDGECOCK
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Publication number: 20140365132Abstract: Method for decomposing a complexly shaped object in a data set, such as a geobody (31) in a seismic data volume, into component objects more representative of the true connectivity state of the system represented by the data set. The geobody is decomposed using a basis set of eigenvectors (33) of a connectivity matrix (32) describing the state of connectivity between voxels in the geobody. Lineal subspaces of the geobody in eigenvector space are associated with likely component objects (34), either by a human interpreter (342) cross plotting (341) two or more eigenvectors, or in an automated manner in which a computer algorithm (344) detects the lineal sub-spaces and the clusters within them.Type: ApplicationFiled: May 8, 2014Publication date: December 11, 2014Inventors: Matthias Imhof, Pavel Dimitrov, Antonio R.C. Paiva
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Publication number: 20140365409Abstract: Systems and methods for determining well parameters for optimization of well performance. The method includes training, via a computing system, a well performance predictor based on field data corresponding to a hydrocarbon field in which a well is to be drilled. The method also includes generating, via the computing system, a number of candidate well parameter combinations for the well and predicting, via the computing system, a performance of the well for each candidate well parameter combination using the trained well performance predictor. The method further includes determining, via the computing system, an optimized well parameter combination for the well such that the predicted performance of the well is maximized.Type: ApplicationFiled: May 19, 2014Publication date: December 11, 2014Inventors: Damian N. Burch, Antonio R.C. Paiva, Rainer van den Bosch
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Publication number: 20110274356Abstract: Image pattern recognition is described. In accordance with one embodiment, a method for image recognition includes dividing an image into blocks in preparation for separating a region of interest of the image from the remainder of the image. The blocks can be analyzed to determine whether a two dimensional projection of data from one or more blocks has a circular shape. The region of interest can be identified by identifying the blocks with circular shaped projections.Type: ApplicationFiled: November 12, 2009Publication date: November 10, 2011Applicant: UNIVERSITY OF UTAH RESEARCH FOUNDATIONInventors: Tolga Tasdizen, Antonio R. C. Paiva