MULTI-LEVEL CROSS MINING AREAS SURFACE WELL PATTERN DEPLOYMENT METHOD

    公开(公告)号:US20220251956A1

    公开(公告)日:2022-08-11

    申请号:US17501129

    申请日:2021-10-14

    Abstract: A multi-level cross-district surface well pattern deployment method is provided. Firstly, a first horizontal well is drilled from a location on a land surface corresponding to a junction H1 of a district rise coal pillar of the first district C1 in a first level and an upper mine field boundary coal pillar. A multilateral well is drilled from a location on the land surface corresponding to a junction H3 of a level coal pillar between the first and second levels, and the district rise coal pillar of the first district C1 in the first level. Liquid nitrogen is injected for permeability improvement after a gas drainage quantity decreases to 20% of an initial quantity. Gas drainage is repeated multiple times until the drainage quantity of coal bed methane through a gas drainage pipe of the horizontal pipe is reached 3 m3/min.

    Physical simulation test method for detecting position of ponding goaf in excavation

    公开(公告)号:US11473427B2

    公开(公告)日:2022-10-18

    申请号:US16537604

    申请日:2019-08-11

    Abstract: A physical simulation test method for detecting a position of a ponding goaf in the excavation, which relates to physical detection of mines. This method includes: fabricating an experimental model of a composition similar to that of an excavating tunnel; fabricating a transient transmitting coil and receiving coil; connecting the coil to a wire and placing them in model A; connecting the coil to a transient electromagnetometer; injecting water into a trapezoidal goaf through a pre-buried plastic pipe; after the goaf is filled with water, immediately switching the transient electromagnetometer on to collect data; respectively transferring the coil to models B, C and D, injecting water and switching on the transient electromagnetometer to collect data; statistically analyzing detection and imaging results of the four models; and comparing the detection results with the actual data to determine detection accuracy and correction coefficient.

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