公开(公告)号：US20240166936A1

公开(公告)日：2024-05-23

申请号：US18305910

申请日：2023-04-24

Applicant: Southwest Petroleum University ,  Yao Bai Special Cement Technology Research and Development Co., Ltd.

Inventor： Gao LI ,  Hongtao LI ,  Yijian CHEN ,  Dong XIAO ,  Jun JIANG ,  Wenhe XIA ,  Yongjie LI

IPC: C09K8/467 ,  C04B14/02 ,  C04B24/20 ,  C04B24/26 ,  C04B28/02 ,  C04B40/00

CPC classification number: C09K8/467 ,  C04B14/024 ,  C04B24/20 ,  C04B24/2652 ,  C04B28/02 ,  C04B40/0046 ,  C04B2103/408

Abstract: A method for preparing heat-conductive cement slurry for well cementation includes the following steps: S1, uniformly mixing sodium 1-butanesulfonate, sodium dodecyl diphenyl ether disulfonate and polyvinylpyrrolidone to obtain an admixture; S2, dissolving the admixture in deionized water and stirring to obtain a dispersant solution; S3, adding graphite to the dispersant solution and stirring to obtain a graphite dispersion; S4, stirring cement and deionized water in a slurry cup to obtain cement slurry; and S5, mixing and stirring the graphite dispersion and the cement slurry to obtain the heat-conductive cement slurry. The heat-conductive cement slurry can effectively improve the heat conductivity coefficient of set cement, and significantly improve the heat conductivity of the set cement, and has a broad market application prospect.

公开(公告)号：US20230235636A1

公开(公告)日：2023-07-27

申请号：US18159192

申请日：2023-01-25

Applicant: SOUTHWEST PETROLEUM UNIVERSITY

Inventor： Hongtao LI ,  Gao LI ,  Jun JIANG ,  Wenhe XIA ,  Xu YANG

IPC: E21B21/08 ,  E21B33/06 ,  E21B21/10 ,  G05D16/18

CPC classification number: E21B21/08 ,  E21B33/06 ,  E21B21/106 ,  G05D16/18 ,  E21B21/065

Abstract: The present invention discloses an active intelligent wellbore pressure control system, which includes a ground multi-parameter online monitoring system (86), a rotary blowout preventer (1), a wellhead back pressure compensation manifold, an automatic plugging material filling device (62), a drilling device, an MPD intelligent control system (87), a remote monitoring and control system (88), and a high-precision hydraulic calculation system (105). The present invention provides a wellbore pressure control thought of “plugging and control integration”, improves the pressure resistance of a formation by circularly plugging while drilling, realizes active control of a wellbore pressure, effectively broadens a “drilling safety density window” of the formation, reduces the requirements on the pressure control precision of a wellbore pressure control device, solves the problem that a conventional MPD technology cannot deal with the situation that the “drilling safety density window” of the formation is extremely narrow or even zero, and expands the application range of the MIPD technology.

公开(公告)号：US20230074074A1

公开(公告)日：2023-03-09

申请号：US17543426

申请日：2021-12-06

Applicant: Southwest Petroleum University

Inventor： Wenhe XIA ,  Wanjun HU ,  Gao LI ,  Yongjie LI ,  Jun JIANG ,  Xiangdong CHEN

IPC: E21B44/00 ,  G06N3/08 ,  E21B49/00

Abstract: The present invention discloses an intelligent recognition method for while-drilling safety risks based on a convolutional neural network. The method includes the following steps: 1, processing while-drilling safety risk parameter features and data, and establishing a correlation analysis model for monitoring-while-drilling parameters by using a Pearson coefficient correlation analysis method; 2, processing while-drilling safety monitoring data, analyzing a time span of each sample, constructing training sample data and test sample data, and preprocessing the samples; 3, designing a while-drilling safety risk recognition network structure; and 4, recognizing while-drilling safety risks by the trained safety risk recognition network. The method of the present invention is applied to monitoring-while-drilling engineering, which can greatly improve the drilling efficiency and a reservoir drilling rate, reduce a complex accident rate and cost in drilling, provide a powerful safety guarantee for drilling work, meet the current urgent demands for cost reduction and efficiency enhancement in drilling to a certain extent, and also provide a new idea for the development of intelligent drilling technologies in China.