Patents by Inventor Jared Bruns

Jared Bruns 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).

  • Patent number: 11913314
    Abstract: A method is offered to predict and prevent the event of fracture hit (direct fluid communication) between a parent well and a child (active) well. The growth of a child well creates 3D stress field in the vicinity of a parent well. The growth of a child well is simulated using the geomechanic-transport model. A model of interaction between the child well and parent well is provided. The simulations for different job designs create a set of pressure scenario in the parent both for the cases with and without fracture hit (fracture hit catalogue). Comparison (matching) of actual pressure data in the parent and child well with the pre-calculated pressure scenarios indicate the risk of fracture development with a fracture hit, which means a stop in fracturing stimulation.
    Type: Grant
    Filed: December 16, 2020
    Date of Patent: February 27, 2024
    Assignee: SCHLUMBERGER TECHNOLOGY CORPORATION
    Inventors: Roman Korkin, Andrey Fedorov, Artem Kabannik, Kira Vladimirovna Yudina, Dmitry Badazhkov, Jared Bruns, Xiaowei Weng, Aleksandra Khudorozhkova
  • Publication number: 20230313653
    Abstract: Systems and methods presented herein relate to systems and methods for determining a number of effective perforation clusters created during hydraulic fracturing operations performed using wellsite equipment of a wellsite system based on surface data collected in substantially real-time during the hydraulic fracturing operations using an autoencoder/convolutional neural network architecture. In certain embodiments, the wellsite equipment of the wellsite system may be controlled in substantially real-time based on the determined number of effective perforation clusters insofar as the autoencoder/convolutional neural network architecture facilitates such real-time responsiveness.
    Type: Application
    Filed: September 8, 2021
    Publication date: October 5, 2023
    Inventors: Juan David ESTRADA BENAVIDES, Dylan ALMEIDA, Andrew BONNELL, Jared BRUNS, Ziyao LI
  • Publication number: 20230020671
    Abstract: A method is offered to predict and prevent the event of fracture hit (direct fluid communication) between a parent well and a child (active) well. The growth of a child well creates 3D stress field in the vicinity of a parent well. The growth of a child well is simulated using the geomechanic-transport model. A model of interaction between the child well and parent well is provided. The simulations for different job designs create a set of pressure scenario in the parent both for the cases with and without fracture hit (fracture hit catalogue). Comparison (matching) of actual pressure data in the parent and child well with the pre-calculated pressure scenarios indicate the risk of fracture development with a fracture hit, which means a stop in fracturing stimulation.
    Type: Application
    Filed: December 16, 2020
    Publication date: January 19, 2023
    Inventors: Roman KORKIN, Andrey FEDOROV, Artem KABANNIK, Kira Vladimirovna YUDINA, Dmitry BADAZHKOV, Jared BRUNS, Xiaowei WENG, Aleksandra KHUDOROZHKOVA
  • Patent number: 11475649
    Abstract: A method including obtaining a first image of a geographical location and a physical object located therein. Pixels in the first image are assigned to corresponding points in a Cartesian coordinate system defined specifically for the first image. The resulting virtual map includes a virtual representation of the physical object, a set of Cartesian coordinates assigned to a set of pixels in the pixels, and a set of Cartesian rotation angles assigned to the set of pixels. A first transform is calculated that scales the Cartesian coordinate system to a physical scale of the geographical location. A data structure stored in a data repository is formed by applying the first transform to the virtual map. The data structure includes the set of pixels, a set of scaled Cartesian coordinates, the set of Cartesian rotation angles, and a physical scale virtual representation of the physical object.
    Type: Grant
    Filed: November 6, 2019
    Date of Patent: October 18, 2022
    Assignee: Schlumberger Technology Corporation
    Inventors: Andrey Konchenko, Kim Swift, Bruce MacKay, Sergey Doronichev, Siau Ban Teh, Markus Schlafli, Salvador Ruiz-Esparza, Jared Krichko, Ewan Maxwell, Rod Shampine, Apoorva Dubey, Jared Bruns
  • Publication number: 20210398354
    Abstract: A method including obtaining a first image of a geographical location and a physical object located therein. Pixels in the first image are assigned to corresponding points in a Cartesian coordinate system defined specifically for the first image. The resulting virtual map includes a virtual representation of the physical object, a set of Cartesian coordinates assigned to a set of pixels in the pixels, and a set of Cartesian rotation angles assigned to the set of pixels. A first transform is calculated that scales the Cartesian coordinate system to a physical scale of the geographical location. A data structure stored in a data repository is formed by applying the first transform to the virtual map. The data structure includes the set of pixels, a set of scaled Cartesian coordinates, the set of Cartesian rotation angles, and a physical scale virtual representation of the physical object.
    Type: Application
    Filed: November 6, 2019
    Publication date: December 23, 2021
    Inventors: Andrey Konchenko, Kim Swift, Bruce MacKay, Sergey Doronichev, Siau Ban Teh, Markus Schlafli, Salvador Ruiz-Esparza, Jared Krichko, Ewan Maxwell, Rod Shampine, Apoorva Dubey, Jared Bruns