Logging-While-Drilling Optical Fiber Communication Device

    公开(公告)号:US20190024504A1

    公开(公告)日:2019-01-24

    申请号:US15922937

    申请日:2018-03-16

    CPC classification number: E21B47/123 G02B6/4428 G02B6/504

    Abstract: A logging-while-drilling optical fiber communication device includes a rotary wireless transceiver module fixed on a protective connector; an active antenna of the rotary transceiver is placed in the first drill pipe by drilling hole through the protective connector; an optical fiber communication drawworks is located at the top of a second drill pipe, the optical fiber is downwardly released into other under-well drill pipes, the bottom of the optical fiber is connected with the well-bottom wireless receiving module; the lowest part of the drill pipe are provided with a drilling data acquisition device and a well-bottom wireless transmitting module. In the present invention, the optical fiber cable is used as transmission medium, by the means of modulating information data obtained by well logging into optical wave, and transmitting to the optical communication link, high-speed bi-directional transmission of well logging information can be realized.

    MINESHAFT-STRATUM FRACTURE COUPLED FLOWING SIMULATION EXPERIMENT DEVICE AND METHOD

    公开(公告)号:US20200217193A1

    公开(公告)日:2020-07-09

    申请号:US16305895

    申请日:2017-09-27

    Abstract: A mineshaft-stratum fracture coupled flowing simulation experiment device includes a simulated mineshaft flowing system, a simulated stratum system, a simulated fracture system and a data acquisition system. The simulated mineshaft flowing system includes simulated mineshaft, simulated drilling rod, drilling fluid storage tank, stirring motor, and drilling fluid screw pump. The simulated drilling rod is located in center of the simulated mineshaft. The stirring motor is provided in the drilling fluid storage tank. The drilling fluid screw pump is connected to an inlet end of the simulated drilling rod through the drilling fluid storage tank. The simulated stratum system includes simulated stratum, clean water storage tank, separation tank, gas storage tank, gas air-compressor, and clean water screw pump. The gas storage tank is connected to the gas air-compressor and is connected to the simulated stratum through a gas pressure regulating valve.

    ACTIVE INTELLIGENT WELLBORE PRESSURE CONTROL SYSTEM

    公开(公告)号:US20230235636A1

    公开(公告)日:2023-07-27

    申请号:US18159192

    申请日:2023-01-25

    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.

    INTELLIGENT RECOGNITION METHOD FOR WHILE-DRILLING SAFETY RISK BASED ON CONVOLUTIONAL NEURAL NETWORK

    公开(公告)号:US20230074074A1

    公开(公告)日:2023-03-09

    申请号:US17543426

    申请日:2021-12-06

    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.

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