山西省晋城市沁水县柿庄镇微地震信号监测数据

本数据集主要研究内容为提出一套基于地面微地震、井中DAS-VSP监测以及空中InSAR遥感的地球物理监测方案，为CO2-EOR过程提供CO2地下的活动状态以及预警作用。相关数据于2021.09-2022.07在中国矿业大学（北京）研究完成，数据来源于CO2注入地面微地震监测数据和微地震数据数值模拟数据。针对CO2注入可能诱发的微地震信号监测数据，通过布设在地表的检波器阵列分三期监测CO2注入前后的地层稳定性分析、CO2前缘运气情况。采集设备为IGU-16HR 3C三分量数字地震节点仪（自然频率5Hz），采集地点为山西省晋城市沁水县柿庄镇。微地震数据数值模拟数据于2022.04-2022.07月在中国矿业大学地球物理实验室完成，数据模拟采用Python语言基于开源代码改写完成，绘图软件为Matlab。

The core research content of this dataset is to propose a geophysical monitoring scheme based on surface microseismic monitoring, downhole DAS-VSP monitoring and airborne InSAR remote sensing, which can provide the underground activity status of CO₂ and early warning for the CO₂-EOR process. The relevant data were collected and processed from September 2021 to July 2022 at China University of Mining and Technology (Beijing), originating from surface microseismic monitoring data during CO₂ injection and numerically simulated microseismic data. For the microseismic signal monitoring data potentially induced by CO₂ injection, a surface-deployed geophone array was used to conduct three-phase monitoring of formation stability analysis before and after CO₂ injection, as well as the migration status of the CO₂ front. The acquisition equipment is the IGU-16HR 3C three-component digital seismic node instrument (natural frequency: 5 Hz), and the data acquisition was conducted in Shizhuang Town, Qinshui County, Jincheng City, Shanxi Province. The numerically simulated microseismic data were generated from April 2022 to July 2022 at the Geophysics Laboratory of China University of Mining and Technology. The data simulation was implemented in Python based on modified open-source code, and the plotting was performed using Matlab.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于CO2注入致密砂岩过程中的微地震信号监测，旨在通过地面微地震、井中DAS-VSP和空中InSAR遥感等地球物理方法，分析CO2活动状态并提供预警。数据采集于2021年9月至2022年7月，在山西省晋城市沁水县柿庄镇使用IGU-16HR三分量数字地震节点仪进行，同时包含数值模拟数据，由Python和Matlab处理完成。