Patents by Inventor Sergey Doronichev

Sergey Doronichev 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: 20240102380
    Abstract: A system can include a processor; memory operatively coupled to the processor; and processor-executable instructions stored in the memory to instruct the system to: receive a marker on a well log for a well in a geographic region; and iteratively propagate the marker automatically to a plurality of well logs for other wells in the geographic region.
    Type: Application
    Filed: November 21, 2023
    Publication date: March 28, 2024
    Inventors: Emilien Dupont, Sergey Doronichev, Velizar Vesselinov, Valerian Guillot, Carlos Boneti, Jose Celaya Galvan
  • Patent number: 11828167
    Abstract: A system can include a processor; memory operatively coupled to the processor; and processor-executable instructions stored in the memory to instruct the system to: receive a marker on a well log for a well in a geographic region; and iteratively propagate the marker automatically to a plurality of well logs for other wells in the geographic region.
    Type: Grant
    Filed: April 18, 2019
    Date of Patent: November 28, 2023
    Assignee: SCHLUMBERGER TECHNOLOGY CORPORATION
    Inventors: Emilien Dupont, Sergey Doronichev, Velizar Vesselinov, Valerian Guillot, Carlos Boneti, Jose Celaya Galvan
  • Patent number: 11719855
    Abstract: Methods, apparatuses, and computer-readable media are set forth for visualizing and interacting with well production data in a three-dimensional or four-dimensional environment, e.g., using a volumetric well production display representation representing a well in an oilfield and including a plurality of display characteristics configured to display historical production data for the well over a time period.
    Type: Grant
    Filed: November 29, 2018
    Date of Patent: August 8, 2023
    Assignee: Schlumberger Technology Corporation
    Inventors: Siau Ban Teh, Andrey Konchenko, Sergey Doronichev, Tong Zhang
  • 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: 20220206176
    Abstract: A subsurface structure identification system includes one or more processors and a memory coupled to the one or more processors. The memory is encoded with instructions that when executed by the one or more processors cause the one or more processors to provide a convolutional neural network trained to identify a subsurface structure in an input migrated seismic volume, and to partition the input migrated seismic volume into multi-dimensional sub-volumes of seismic data. The instructions also cause the one or more processors to process each of the multi-dimensional sub-volumes of seismic data in the convolutional neural network, and identify the subsurface structure in the input migrated seismic volume based on a probability map of the input migrated seismic volume generated by the convolutional neural network.
    Type: Application
    Filed: May 10, 2019
    Publication date: June 30, 2022
    Inventors: Vishakh Hegde, Suhas Suresha, Carlos Boneti, Sergey Doronichev, Jose Celaya Galvan, Anthony Lichnewsky
  • Patent number: 11269110
    Abstract: Computing system assessment of geological similarity of wells employing well-log data includes receiving logs with chronostratigraphic markers, and extracting signatures from the logs using the chronostratigraphic markers. A distance matrix is generated from the signatures using dynamic time warping. Using the distance matrix, a set of clusters are generated. The set of clusters are presented with an image.
    Type: Grant
    Filed: December 5, 2018
    Date of Patent: March 8, 2022
    Assignee: Schlumberger Technology Corporation
    Inventors: Sergey Doronichev, Velizar Vesselinov, Valerian Guillot, Xiaotong Suo
  • 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
  • Publication number: 20210102457
    Abstract: A system can include a processor; memory operatively coupled to the processor; and processor-executable instructions stored in the memory to instruct the system to: receive a marker on a well log for a well in a geographic region; and iteratively propagate the marker automatically to a plurality of well logs for other wells in the geographic region.
    Type: Application
    Filed: April 18, 2019
    Publication date: April 8, 2021
    Inventors: Emilien DUPONT, Sergey DORONICHEV, Velizar VESSELINOV, Valerian GUILLOT, Carlos BONETI, Jose CELAYA GALVAN
  • Publication number: 20200183044
    Abstract: Computing system assessment of geological similarity of wells employing well-log data includes receiving logs with chronostratigraphic markers, and extracting signatures from the logs using the chronostratigraphic markers. A distance matrix is generated from the signatures using dynamic time warping. Using the distance matrix, a set of clusters are generated. The set of clusters are presented with an image.
    Type: Application
    Filed: December 5, 2018
    Publication date: June 11, 2020
    Inventors: Sergey Doronichev, Velizar Vesselinov, Valerian Guillot, Xiaotong Suo
  • Publication number: 20200174157
    Abstract: Methods, apparatuses, and computer-readable media are set forth for visualizing and interacting with well production data in a three-dimensional or four-dimensional environment, e.g., using a volumetric well production display representation representing a well in an oilfield and including a plurality of display characteristics configured to display historical production data for the well over a time period.
    Type: Application
    Filed: November 29, 2018
    Publication date: June 4, 2020
    Inventors: Siau Ban Teh, Andrey Konchenko, Sergey Doronichev, Tong Zhang