Patents by Inventor Gerardo Mijares

Gerardo Mijares 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).

  • Publication number: 20230205948
    Abstract: Systems and methods for completion design are disclosed. Wellsite data is acquired for one or more existing production wells. The wellsite data is transformed into model data sets for training a first machine learning (ML) model to predict well logs. A first well model uses the well logs to estimate production of the existing well(s). Parameters of the first well model are tuned based on a comparison between the estimated and actual production of the existing well(s). A second ML model is trained to predict parameters of a second well model for a new well, based on the tuned parameters of the first well model. The new well's production is forecasted using the second ML model. Completion costs for the new well are estimated based on the well's completion design parameters and the forecasted production. Completion design parameters are adjusted, based on the estimated completion costs and the forecasted production.
    Type: Application
    Filed: December 23, 2021
    Publication date: June 29, 2023
    Inventors: Yogesh Bansal, Gerardo Mijares
  • Publication number: 20230193754
    Abstract: Systems and methods for machine learning (ML) assisted parameter matching are disclosed. Wellsite data is acquired for one or more existing production wells in a hydrocarbon producing field. The wellsite data is transformed into one or more model data sets for predictive modeling. A first ML model is trained to predict well logs for the existing production well(s), based on the model data set(s). A first well model is generated to estimate production of the existing production well(s) based on the predicted well logs. Parameters of the first well model are tuned based on a comparison between the estimated and an actual production of the existing production well(s). A second ML model is trained to predict parameters of a second well model for a new production well, based on the tuned parameters of the first well model. The new well’s production is forecasted using the second ML model.
    Type: Application
    Filed: December 20, 2021
    Publication date: June 22, 2023
    Inventors: Yogesh Bansal, Gerardo Mijares
  • Patent number: 11303608
    Abstract: A Point of Sale (POS) terminal in a semi-integrated payment system generates an IP address for a peripheral device, such as a Personal Identity Number (PIN) pad, for example, that is communicatively connected to the POS terminal. The POS terminal also generates an IP Configuration message that includes the generated IP address and sends the message to the peripheral device. This configures the peripheral device to securely communicate user data with one or more POS nodes in a POS network while bypassing the POS terminal.
    Type: Grant
    Filed: December 13, 2019
    Date of Patent: April 12, 2022
    Assignee: Toshiba Global Commerce Solutions Holdings Corporation
    Inventors: Luis Lopez, Juan Eduardo Ramirez Lopez, Gerardo Mijares Saenz, Roberto Israel Varela Hernandez
  • Publication number: 20210185004
    Abstract: A Point of Sale (POS) terminal in a semi-integrated payment system generates an IP address for a peripheral device, such as a Personal Identity Number (PIN) pad, for example, that is communicatively connected to the POS terminal. The POS terminal also generates an IP Configuration message that includes the generated IP address and sends the message to the peripheral device. This configures the peripheral device to securely communicate user data with one or more POS nodes in a POS network while bypassing the POS terminal.
    Type: Application
    Filed: December 13, 2019
    Publication date: June 17, 2021
    Inventors: Luis Lopez, Juan Eduardo Ramirez Lopez, Gerardo Mijares Saenz, Roberto Israel Varela Hernandez
  • Patent number: 10409616
    Abstract: Systems and methods for reducing run time for a reservoir simulator model using a proxy model based on a neural network.
    Type: Grant
    Filed: November 30, 2010
    Date of Patent: September 10, 2019
    Assignee: Landmark Graphics Corporation
    Inventors: Alejandro Garcia, Jordani Rebeschini, Sergio Henrique Guerra de Sousa, Gerardo Mijares, Jose Antonio Rodriguez, Luigi Alfonso Saputelli, William Douglas Johnson
  • Patent number: 10354207
    Abstract: Systems and methods for optimization of real time production operations. In one embodiment, a moving time horizon based parametric model provides fast predictions for production optimization in a short-term framework. In another embodiment, multiple technologies are selected in connection with asset performance workflows that are uniquely implemented in a multi-phase approach.
    Type: Grant
    Filed: May 1, 2012
    Date of Patent: July 16, 2019
    Assignee: Landmark Graphics Corporation
    Inventors: Gerardo Mijares, Alejandro Garcia, Sathish Sankaran, Jose Rodriguez, Luigi Saputelli, Ankur Awasthi, Michael Nikolaou
  • Publication number: 20130338985
    Abstract: Systems and methods for reducing run time for a reservoir simulator model using a proxy model based on a neural network.
    Type: Application
    Filed: November 30, 2010
    Publication date: December 19, 2013
    Applicant: Landmark Graphics Corporation
    Inventors: Alejandro Garcia, Jordani Rebeschini, Sergio Henrique Guerra de Sousa, Gerardo Mijares, Jose Antonio Rodriguez, Luigi Alfonso Saputelli, William Douglas Johnson
  • Patent number: 8396826
    Abstract: Systems and methods for optimization of real time production operations. In one embodiment, a moving time horizon based parametric model provides fast predictions for production optimization in a short-term framework. In another embodiment, multiple technologies are selected in connection with asset performance workflows that are uniquely implemented in a multi-phase approach.
    Type: Grant
    Filed: December 17, 2008
    Date of Patent: March 12, 2013
    Assignee: Landmark Graphics Corporation
    Inventors: Gerardo Mijares, Alejandro Garcia, Sathish Sankaran, Jose Rodriguez, Luigi Saputelli, Ankur Awasthi, Michael Nikolaou
  • Publication number: 20120215502
    Abstract: Systems and methods for optimization of real time production operations. In one embodiment, a moving time horizon based parametric model provides fast predictions for production optimization in a short-term framework. In another embodiment, multiple technologies are selected in connection with asset performance workflows that are uniquely implemented in a multi-phase approach.
    Type: Application
    Filed: May 1, 2012
    Publication date: August 23, 2012
    Applicant: Landmark Graphics Corporation
    Inventors: Gerardo Mijares, Alejandro Garcia, Sathish Sankaran, Jose Rodriguez, Luigi Saputelli, Ankur Awasthi, Michael Nikolaou
  • Publication number: 20090157590
    Abstract: Systems and methods for optimization of real time production operations. In one embodiment, a moving time horizon based parametric model provides fast predictions for production optimization in a short-term framework. In another embodiment, multiple technologies are selected in connection with asset performance workflows that are uniquely implemented in a multi-phase approach.
    Type: Application
    Filed: December 17, 2008
    Publication date: June 18, 2009
    Applicant: Landmark Graphics Corporation, a Halliburton Company
    Inventors: Gerardo Mijares, Alejandro Garcia, Sathish Sankaran, Jose Rodriguez, Luigi Saputelli, Ankur Awasthi, Michael Nikolaou