公开(公告)号：US20240319066A1

公开(公告)日：2024-09-26

申请号：US18314395

申请日：2023-05-09

Applicant: Southwest Petroleum University

Inventor： Youwei HE ,  Yu QIAO ,  Jiazheng QIN ,  Yong TANG ,  Ning WANG ,  Guoqing ZHAO

IPC: G01N15/08 ,  E21B49/00 ,  G01N33/24

CPC classification number: G01N15/088 ,  E21B49/00 ,  G01N33/24 ,  E21B2200/20

Abstract: Disclosed is a method for evaluating the underground hydrogen storage (UHS) capacity in porous media of depleted gas reservoirs using CO2 as cushion gas, including the following steps: S1: obtaining physical parameters required for UHS capacity evaluation based on geological and production data of the target depleted gas reservoir; S2: calculating the cap-rock breakthrough pressure and fault-slip pressure of the UHS based on the cap and fault properties of the target depleted gas reservoir to further estimate the highest operating pressure of the UHS; S3: developing the H2—CO2—CH4 multi-component material balance equation in underground porous media by considering the dissolution of three components in formation water; S4: substituting the parameters obtained from S1 and S2 into the multi-component material balance equation to calculate the proportion of different gas components in the pore space to finally determine the UHS capacity of the target depleted gas reservoir.

公开(公告)号：US20200240243A1

公开(公告)日：2020-07-30

申请号：US16747294

申请日：2020-01-20

Applicant: SOUTHWEST PETROLEUM UNIVERSITY

Inventor： Haitao LI ,  Na WEI ,  Jinzhou ZHAO ,  Luling LI ,  Zhenjun CUI ,  Lin JIANG ,  Wantong SUN ,  Luyue YANG ,  Xi LI ,  Yinghe HONG ,  Yu QIAO

IPC: E21B41/00 ,  E21B47/00 ,  E21B49/00 ,  E21B49/08

Abstract: A method for intelligently determining hydrate drilling and production risks based on fuzzy judgment. First classifying monitoring parameters in a hydrate drilling and production process into layers from top to bottom: a target layer, a primary evaluation factor layer and a secondary evaluation factor layer; then calculating relative weight values of each primary evaluation factor and each secondary evaluation factor contained therein; then connecting in series the relative weight values of the primary evaluation factors with the relative weight values of the secondary evaluation factors to obtain an overall weight value of the secondary evaluation factors; repeating the foregoing steps; finally constructing the overall weight value of each secondary evaluation factor of each risk into a column vector to obtain a comprehensive determining weight matrix of hydrate drilling and production risks, and determining the risks in the hydrate drilling and production process by combining monitoring parameter change vectors.