Fracturing surface micro-seismic monitoring technology is widely used in fracturing surface. Micro- seismic monitoring conducted by means of the internet is composed of a large number of geophones laid on the ground to collect subsurface micro seismic signals and monitor fracturing fractures. With the advantages of a large amount of monitoring data, flexible layout, easy adjustment, and low cost. The technology also has some disadvantages, such as weak signal reception, vulnerable to environmental impact and low signal-to-noise ratio. In order to improve the positioning accuracy and receive as many effective signals as possible, a signal receiving network model of optimal geophone for micro-seismic monitoring on a fractured surface based on improved genetic algorithm is proposed. Through simulation and numerical analysis, the solution model has been optimized to meet the accuracy and quickly solve the optimal geophone array scheme. The results show that the optimal geophone array scheme not only satisfies the positioning accuracy but also achieves better reception of micro-seismic signals as possible with a small number of geophones, which reduces the cost and promotes the industrial application of this technology.

中文翻译：

---

检测器信号接收网络布局优化模型研究

压裂表面微震监测技术被广泛应用于压裂表面。通过互联网进行的微​​地震监测是由大量放置在地面上的地震检波器组成的，以收集地下微地震信号并监测压裂裂缝。具有监控数据量大，布局灵活，调整方便，成本低廉的优点。该技术还具有一些缺点，例如信号接收弱，易受环境影响以及信噪比低。为了提高定位精度并接收尽可能多的有效信号，提出了一种基于改进遗传算法的裂隙表面微地震监测最优地震检波器信号接收网络模型。通过仿真和数值分析，解决方案模型已经过优化，可以满足精度要求，并可以快速解决最佳地震检波器阵列方案。结果表明，最优的检波器阵列方案不仅满足定位精度，而且在检波器数量较少的情况下，能够更好地接收微震信号，降低了成本，促进了该技术的工业应用。