Patents by Inventor Huolin MA

Huolin MA 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: 12158557
    Abstract: A method for predicting a deep geothermal field based on a temperature, pressure, and resistivity coupling constraint includes: equally dividing logging resistivity-overburden pressure-temperature data of m boreholes in a study area into N formations on a depth basis, and normalizing resistivity in each formation; deducing an accurate relationship characterization between a normalized resistivity, a temperature and a pressure in different formations of different formations; inverting an electromagnetic data volume in the study area to obtain a resistivity distribution characteristic, equally dividing an inverted resistivity into M formations, and normalizing the inverted resistivity into a normalized inverted resistivity; inverting a density distribution based on gravity observation data, and converting the density distribution into an overburden pressure; and calculating a distribution characteristic of a deep underground temperature field based on the accurate relationship characterization in different form
    Type: Grant
    Filed: November 10, 2022
    Date of Patent: December 3, 2024
    Assignee: CHINA UNIVERSITY OF GEOSCIENCES, WUHAN
    Inventors: Xiangyun Hu, Guoshu Huang, Jianchao Cai, Jian Yang, Huolin Ma, Wenlong Zhou
  • Publication number: 20240264332
    Abstract: A method for predicting a deep geothermal field based on a temperature, pressure, and resistivity coupling constraint includes: equally dividing logging resistivity—overburden pressure—temperature data of m boreholes in a study area into N formations on a depth basis, and normalizing resistivity in each formation; deducing an accurate relationship characterization between a normalized resistivity, a temperature and a pressure in different formations of different formations; inverting an electromagnetic data volume in the study area to obtain a resistivity distribution characteristic, equally dividing an inverted resistivity into M formations, and normalizing the inverted resistivity into a normalized inverted resistivity; inverting a density distribution based on gravity observation data, and converting the density distribution into an overburden pressure; and calculating a distribution characteristic of a deep underground temperature field based on the accurate relationship characterization in different form
    Type: Application
    Filed: November 10, 2022
    Publication date: August 8, 2024
    Applicant: CHINA UNIVERSITY OF GEOSCIENCES, WUHAN
    Inventors: Xiangyun HU, Guoshu HUANG, Jianchao CAI, Jian YANG, Huolin MA, Wenlong ZHOU