Application of the CSAMT Method for Exploring Deep Coal Mines in Fujian Province, Southeastern China

地质学 探矿 地层 赤纬 采矿工程 火山 中国 地形 煤矿开采 大地电磁法 古地理学 古生物学 地震学 构造学 地理 考古 地图学 火山作用 工程类 电阻率和电导率 物理 电气工程 天文
作者
Zhiguo An,Qingyun Di
出处
期刊:Journal of Environmental and Engineering Geophysics [Environmental and Engineering Geophysical Society]
卷期号:15 (4): 243-249 被引量:16
标识
DOI:10.2113/jeeg15.4.243
摘要

Coal reserve volume in Fujian Province, China, ranks third among the nine provinces in southern China. Over the past decades, most coal mines in uncovered and semi-covered coal strata have been explored and developed. Present exploration mainly focuses on deep coal strata, which are generally covered by older strata and volcanic strata. Because of the terrain and deep targets, seismic prospecting is difficult. The major coal-containing strata that can be excavated in Fujian are within the Tungtzeyan Formation of the Lower Permian Series. The thickness of this formation is greater than [Formula: see text]. The CSAMT (controlled source audio frequency magnetotelluric) method isused to delineate four deep coal strata units. The aim of this prospecting is to delineate the upper and lower boundaries of the stratum containing the coal units. The prospecting target depth is approximately [Formula: see text], which required a frequency range between [Formula: see text] and [Formula: see text] to provide sufficient data coverage. The distance from the transmitter to the survey line was [Formula: see text], with a transmitting current of [Formula: see text] and voltage of [Formula: see text]. The time synchronization between the transmitter and receiver was controlled by a global positioning system. Major static problems were encountered during the CSAMT survey. Both terrain and static corrections were applied during data processing, which smoothed the inverted results for better interpretation. Comparison of the CSAMT interpreted results with available engineering geology information shows a clear difference in electrical properties between coal stratum, upper old stratum, red-beds and volcanic strata. The CSAMT method is useful in identifying the coal strata under these geological conditions.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
wwwww发布了新的文献求助20
刚刚
maguodrgon发布了新的文献求助30
1秒前
狂野紫丝发布了新的文献求助10
1秒前
飞鱼发布了新的文献求助10
2秒前
夏汐完成签到,获得积分10
2秒前
乎乎发布了新的文献求助10
2秒前
nusiew发布了新的文献求助10
3秒前
3秒前
100完成签到,获得积分10
3秒前
标致幼菱发布了新的文献求助10
4秒前
简单完成签到 ,获得积分10
4秒前
5秒前
闪闪花生完成签到 ,获得积分10
5秒前
sssssss完成签到 ,获得积分10
6秒前
直率飞柏发布了新的文献求助10
9秒前
CipherSage应助AstrLees采纳,获得10
9秒前
从容思卉发布了新的文献求助10
9秒前
火星上的一刀完成签到,获得积分10
9秒前
乐乐应助火星仙人掌采纳,获得10
10秒前
酷酷跳跳糖完成签到,获得积分20
11秒前
科研通AI6.2应助mmmmmm1111采纳,获得10
12秒前
13秒前
13秒前
万能图书馆应助qwer采纳,获得10
14秒前
15秒前
小蘑菇应助雁回采纳,获得10
16秒前
16秒前
16秒前
cyzk发布了新的文献求助10
16秒前
Hello应助tuyfytjt采纳,获得10
16秒前
16秒前
哇哈哈发布了新的文献求助10
17秒前
dong完成签到,获得积分10
17秒前
wwwww发布了新的文献求助20
18秒前
19秒前
19秒前
19秒前
19秒前
20秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
A Study of the Model by which Principals’ Leadership Behaviour Influences Student Learning Outcomes in Elementary Schools 1000
Principles of town planning: translating concepts to applications 1000
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
核安全综合知识2024版 500
Photothermal Science and Techniques 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7710602
求助须知:如何正确求助?哪些是违规求助? 9267275
关于积分的说明 20064432
捐赠科研通 7286783
什么是DOI,文献DOI怎么找? 3296952
关于科研通互助平台的介绍 2451488
邀请新用户注册赠送积分活动 2304019