Patents by Inventor Jose Celaya Galvan

Jose Celaya Galvan 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: 12136267
    Abstract: A method includes receiving training images representing a portion of a drilling rig over a first period of time, associating individual training images of the training images with times at which the individual training images were captured, determining a rig state at each of the times, classifying the individual training images based on the rig state at each of the times, training a machine learning model to identify rig state based on the classified training images, receiving additional images representing the portion of the drilling rig over a second period of time, and determining one or more rig states of the drilling rig during the second period of time using the machine learning model based on the additional images.
    Type: Grant
    Filed: April 5, 2021
    Date of Patent: November 5, 2024
    Assignee: Schlumberger Technology Corporation
    Inventors: Laetitia Shao, Suhas Suresha, Indranil Roychoudhury, Crispin Chatar, Soumya Gupta, Jose Celaya Galvan
  • Patent number: 12104484
    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: November 21, 2023
    Date of Patent: October 1, 2024
    Assignee: SCHLUMBERGER TECHNOLOGY CORPORATION
    Inventors: Emilien Dupont, Sergey Doronichev, Velizar Vesselinov, Valerian Guillot, Carlos Boneti, Jose Celaya Galvan
  • Publication number: 20240151134
    Abstract: A system and method that include receiving offset well data collected from an offset well, wherein the offset well data comprises data representing a trajectory of an offset. The system and method also include receiving subject well data comprising a trajectory of at least a portion of a subject. The system and method additionally include determining a similarity value between the trajectory of the offset well and the subject well. The system and method also include selecting at least one offset well for offset well analysis based on the similarity value. The system and method further include adjusting at least one parameter of the subject well based on the offset well analysis.
    Type: Application
    Filed: January 3, 2024
    Publication date: May 9, 2024
    Inventors: Vladimir Zhernakov, Xiaotong Suo, Jose Celaya Galvan, Velizar Vesselinov, Neil Holger White Eklund
  • 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: 11905821
    Abstract: A method for offset well analysis includes receiving offset well data collected from an offset well, the offset well data including data representing a trajectory of an offset well, receiving subject well data comprising a trajectory of at least a portion of a subject well, partitioning the trajectory of the offset well into a plurality of offset well segments, partitioning the trajectory of the subject well into a plurality of subject well segments, determining a distance between at least some of the plurality of offset well segments and at least some of the plurality of subject well segments, selecting the offset well based in part on the distance, and performing an offset well analysis using the offset well and the subject well.
    Type: Grant
    Filed: August 15, 2019
    Date of Patent: February 20, 2024
    Assignee: Schlumberger Technology Corporation
    Inventors: Vladimir Zhernakov, Xiaotong Suo, Jose Celaya Galvan, Velizar Vesselinov, Neil Holger White Eklund
  • Publication number: 20230394283
    Abstract: A method may include obtaining input data including an environmental condition and chemical properties of input components of an input fluid mixture, encoding, by an encoder machine learning model, the input data to obtain encoded input data, and receiving, by an aggregator function and from the encoder machine learning model, the encoded input data ordered in a sequence corresponding to an order of the input components. The method may further include aggregating, by the aggregator function, the encoded input data to obtain aggregated input data. The aggregated input data may be independent of the sequence. The method may further include decoding, by a decoder machine learning model, the aggregated input data to obtain output data including a phase for an output mixture, and presenting the output data.
    Type: Application
    Filed: September 14, 2021
    Publication date: December 7, 2023
    Inventors: John PANG, John GODLEWSKI, Alfredo DE LA FUENTE, Suhas SURESHA, Soumya GUPTA, Prasad BHAGWAT, 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: 11803678
    Abstract: A method, apparatus, and program product utilize a disentangled factor learning framework to analyze petro-technical image data such as seismic image data to infer properties of a subsurface volume and/or to generate image data for use in training machine learning algorithms for use in petro-technical applications.
    Type: Grant
    Filed: April 12, 2019
    Date of Patent: October 31, 2023
    Assignee: Schlumberger Technology Corporation
    Inventors: Emilien Dupont, Jose Celaya Galvan
  • Publication number: 20230212937
    Abstract: A method, apparatus, and program product may utilize data associated with one or more electric submersible pumps (ESPs) to train a machine learning model and/or use a machine learning model to perform ESP failure analysis. In addition, one or more features from the data may be encoded into a machine-readable format to facilitate ingestion by the machine learning model.
    Type: Application
    Filed: June 8, 2021
    Publication date: July 6, 2023
    Inventors: John PANG, Alfredo DE LA FUENTE, Indranil ROYCHOUDHURY, Bonang Firmansyah JUSRI, Prashanti DEVIANI, David J. ROSSI, Junadi. ., Jose CELAYA GALVAN, Saniya KARNIK, Supriya GUPTA, Navya YENUGANTI, Mahyar MOHAJER, Asim MALIK, Prasanna NIRGUDKAR
  • Publication number: 20230186627
    Abstract: A method includes receiving training images representing a portion of a drilling rig over a first period of time, associating individual training images of the training images with times at which the individual training images were captured, determining a rig state at each of the times, classifying the individual training images based on the rig state at each of the times, training a machine learning model to identify rig state based on the classified training images, receiving additional images representing the portion of the drilling rig over a second period of time, and determining one or more rig states of the drilling rig during the second period of time using the machine learning model based on the additional images.
    Type: Application
    Filed: April 5, 2021
    Publication date: June 15, 2023
    Inventors: Laeticia Shao, Suhas Suresha, Indranil Roychoudhury, Crispin Chatar, Soumya Gupta, Jose Celaya Galvan
  • 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
  • Publication number: 20210165939
    Abstract: A method, apparatus, and program product utilize a disentangled factor learning framework to analyze petro-technical image data such as seismic image data to infer properties of a subsurface volume and/or to generate image data for use in training machine learning algorithms for use in petro-technical applications.
    Type: Application
    Filed: April 12, 2019
    Publication date: June 3, 2021
    Inventors: Emilien Dupont, Jose Celaya Galvan
  • 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: 20210047914
    Abstract: A method for offset well analysis includes receiving offset well data collected from an offset well, the offset well data including data representing a trajectory of an offset well, receiving subject well data comprising a trajectory of at least a portion of a subject well, partitioning the trajectory of the offset well into a plurality of offset well segments, partitioning the trajectory of the subject well into a plurality of subject well segments, determining a distance between at least some of the plurality of offset well segments and at least some of the plurality of subject well segments, selecting the offset well based in part on the distance, and performing an offset well analysis using the offset well and the subject well.
    Type: Application
    Filed: August 15, 2019
    Publication date: February 18, 2021
    Inventors: Vladimir Zhernakov, Xiaotong Suo, Jose Celaya Galvan, Velizar Vesselinov, Neil Holger White Eklund