A deep hole installation and recovery device for microseismic sensors in water-containing soft rock and soil

Abstract

The invention discloses a device for installing and recovering a micro-vibration sensor in an aquiferous weak rock-soil body deep hole. The device comprises a hot galvanizing pipe arranged in a pre-drilled hole, a base arranged at the bottom of the hot galvanizing pipe in a sealed mode, a plurality of detachably-connected operating rods, a sensor base connected with the sensor, an installation sleeve and a recovery sleeve, wherein both the installation sleeve and the recovery sleeve are detachably connected with the operating rods, the base is provided with a base outer stud, a sensor base convex body is arranged on the lateral of the sensor base, the installation sleeve and the recovery sleeve are respectively provided with a sleeve clamping groove, and the bottom of the sensor base is provided with sensor base lower internal threads matched with the base outer stud. Accordingly, the problems that the sensor is difficult to install, protect and recover in the aquiferous weak rock-soil body deep hole are solved.

Description

technical field [0001] The invention relates to the field of microseismic monitoring, in particular to a deep hole installation and recovery device for a microseismic sensor in watery and weak rock and soil, which is suitable for the field of microseismic on-site monitoring and experimentation. Background technique [0002] Microseismic (microseismic) refers to the microvibration produced by the accumulation of energy in the rock itself in a local area to a certain extent, which induces cracks and destruction inside the rock under external disturbances, and the accumulated energy is released in the form of elastic waves. Microseismic monitoring technology is a new geophysical prospecting technology developed in the 1890s. The principle of this technology is to use sensors to collect vibration signals generated by the internal energy accumulated in the form of stress waves when rock cracks initiate, expand, and slip. , record the process and law of microseismic waveform chang...

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Problems solved by technology

[0005] At present, in the installation of sensors in engineering applications, most of them are embedded in the monitoring area as disposable consumables, which cannot be recycled and reused.

Although the monitoring effect of this installation method is better, as the project progresses, the continuous installation of new sensors will inevitably increase the monitoring cost, resulting in a lot of waste, and once the sensor of this installation method has a problem, it cannot be repaired and replaced. , thus affecting the monitoring effect

In the condition of good rock integrity, some people use the method of first fixing the sensor to the bottom of the borehole through rapid coagulation colloid, and then using the reverse thread device to recover. This installation method is not very deep when the sensor is installed, and the rock Under the premise of good integrity, it has a good application, but for water-bearing soft rock and soil, often due to large deformation and abundant groundwater, it is almost impossible to install and recover the deep hole of the sensor, and the safety of the line will also be affected. will be greatly challenged

[0006] Therefore, in the deep hole installation of sensors in water-bearing weak rock and soil, the existing installation and recovery methods have the following difficulties: 1) Due to the existence of water, it is difficult to achieve a good coupling between the sensor and the borehole in the deep hole; 2) In weak rock and soil Boreholes in the soil are prone to collapse, misalignment, and slippage, causing the sensor to be buried and the cable to be damaged, which cannot be restored, thereby affecting the continuity of the microseismic signal; 3) The sensor is difficult to install and recover in deep holes, and it is difficult to obtain better monitoring effect, which in turn affects the accuracy of disaster forecasting and forecasting and increases the cost of forecasting.

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