Patents by Inventor Rahul Salla

Rahul Salla 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: 11945993
    Abstract: A method may include: introducing a silane based aqueous soluble resin into a wellbore, wherein the silane based aqueous soluble resin comprises a glycidyl alkoxy silane containing resin and an amino alkoxy silane hardener. The silane based aqueous soluble resin may include 3-glycidoxypropyl trimethoxy silane and n-(3-(trimethoxysilyl)propyl)ethylenediamine.
    Type: Grant
    Filed: July 30, 2021
    Date of Patent: April 2, 2024
    Assignee: Halliburton Energy Services, Inc.
    Inventors: Abhimanyu Pramod Deshpande, Rajender Salla, Shoy George Chittattukara, Sandip Prabhakar Patil, Rahul Chandrakant Patil
  • Publication number: 20230229983
    Abstract: Systems and methods for producing geospatial images representing flows of commodities between geographic regions and their dependencies are disclosed. Raw economic and other data associating with discrete geographic locations are combined with data metadata from other sources, including transportation network data. Images may be generated at user-specified degrees of commodity category granularity and geographic granularity and may be contain information at significantly higher degree of geographic granularity than the original raw economic data. Quantities of flows are represented graphically by parameters such as widths of lines, paths, or other graphic elements.
    Type: Application
    Filed: March 8, 2023
    Publication date: July 20, 2023
    Inventors: Benjamin Lyle Ruddell, Richard Rushforth, Jon Miller, Rahul Salla, Erzhena Soktoeva, Ramesh Gorantla
  • Publication number: 20200342372
    Abstract: Systems and methods for producing geospatial images representing flows of commodities between geographic regions and their dependencies are disclosed. Raw economic and other data associating with discrete geographic locations are combined with data metadata from other sources, including transportation network data. Images may be generated at user-specified degrees of commodity category granularity and geographic granularity and may be contain information at significantly higher degree of geographic granularity than the original raw economic data. Quantities of flows are represented graphically by parameters such as widths of lines, paths, or other graphic elements.
    Type: Application
    Filed: April 29, 2020
    Publication date: October 29, 2020
    Inventors: Benjamin Lyle Ruddell, Richard Rushforth, Jon Miller, Rahul Salla, Erzhena Soktoeva, Ramesh Gorantla