Microtremor Survey Method: A New Approach for Geothermal Exploration

Author:

Baoqing Tian,Zhifeng Ding,Liming Yang,Yifan Fan,Bo Zhang

Abstract

Geothermal resources are a type of sustainable and green energy, which can play an important role in emission peaks and carbon neutrality. Determining the best development target area is key to resource development and geophysical methods are commonly used for this purpose. Owing to serious human and industrial interference, the microtremor survey method is often adopted for geothermal exploration in urban areas. It is a passive source method, which is non-invasive and environmentally friendly. In this method, the Rayleigh wave dispersion curve is extracted using spatial autocorrelation based on the vertical component signal at the observation station. A genetic algorithm is used to invert the dispersion curve of one survey point to obtain strata parameters such as layer thickness, S-wave velocity, and density. It provides critical parameters for the cap layer and reservoirs for geothermal exploration. For a chain microtremor measurement, a two-dimensional (2D) apparent S-wave velocity section can be generated. The apparent S-wave velocity is calculated from the phase velocity using the following empirical method: the 2D apparent S-wave velocity section helps to identify the buried channel for heat flow and track the irregular shapes of the reservoirs or cap layers. It has been verified that the microtremor survey method is reliable and accurate compared with borehole materials. As a newly developed non-invasive geophysical method, it can be widely used in geothermal exploration.

Publisher

Frontiers Media SA

Subject

General Earth and Planetary Sciences

Reference37 articles.

1. Space and Time Spectra of Stationary Stochastic Waves with Special Reference to Microtremors;Aki;Bull. Earthquake Res. Inst. Tokyo Univ.,1957

2. Joint Inversion of Gravity and Surface Wave Data Constrained by Magnetotelluric: Application to Deep Geothermal Exploration of Crustal Fault Zone in Felsic Basement;Ars;Geothermics,2019

3. On Bias and Noise in Passive Seismic Data from Finite Circular Array Data Processed Using SPAC Methods;Asten;Geophysics,2006

4. Spatially Averaged Coherencies (krSPAC) and Rayleigh Effective-Mode Modeling of Microtremor Data from Asymmetric Arrays;Asten;Geophysics,2019

5. Analysis of Dense Array Noise Measurements Using the Modified Spatial Auto-Correlation Method (SPAC): Application to the Grenoble Area;Bettig;Bollettino di Geofisica Teorica Ed. Applicata,2001

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3