Patents Assigned to QUANTICO ENERGY SOLUTIONS, LLC.
  • Patent number: 11699099
    Abstract: Aspects of the present disclosure relate to confidence volumes for earth modeling using machine learning. A method includes receiving detected data, wherein the detected data includes formation attributes relating to one or more depth points along or near a wellbore. The method further includes providing inputs to a plurality of machine learning models based on the detected data. The method further includes receiving output values from the plurality of machine learning models based on the inputs. The method further includes determining a measure of variance among the output values. The method further includes generating a confidence indicator related to the output values based on the measure of variance.
    Type: Grant
    Filed: October 28, 2020
    Date of Patent: July 11, 2023
    Assignee: QUANTICO ENERGY SOLUTIONS LLC
    Inventors: Barry F. Zhang, Orlando De Jesus, Tuna Altay Sansal, Edward Tian
  • Patent number: 10677052
    Abstract: The present disclosure generally relates to a real-time synthetic logging method for optimizing one or more operations in a well. The method generally includes receiving measurements of one or more parameters in real time while performing operations in the well, the measurements being captured without using tools that include active nuclear sources. The method further includes providing the measurements as input to a machine learning algorithm (MLA) that is trained using historical or training well data. The method further includes generating, using the MLA and based on the measurements, a synthetic mechanical property log of the well. The method further includes generating, based on the synthetic mechanical property log, optimized parameters for at least one operation selected from the following list: drilling the well in real-time; steering the well in real-time; and stimulating a reservoir in real-time.
    Type: Grant
    Filed: February 12, 2019
    Date of Patent: June 9, 2020
    Assignee: QUANTICO ENERGY SOLUTIONS LLC
    Inventors: Bruce H. Storm, Jr., Barry Fen Zhang
  • Patent number: 10242312
    Abstract: The present disclosure generally relates to synthetic logging for reservoir stimulation. A synthetic logging method for stimulating a reservoir includes: training a machine learning algorithm using historical or exploratory data; and generating a synthetic elastic property log of the reservoir by supplying the trained machine learning algorithm with data acquired from a production wellbore.
    Type: Grant
    Filed: June 6, 2014
    Date of Patent: March 26, 2019
    Assignee: QUANTICO ENERGY SOLUTIONS, LLC.
    Inventor: Bruce H. Storm, Jr.