Identification of Natural and Man-Made Decompacted Zones in an Undermined Massif Based on High-Precision Gravimetric Observations

IF 0.9 4区 地球科学 Q4 GEOSCIENCES, MULTIDISCIPLINARY Russian Journal of Pacific Geology Pub Date : 2024-02-04 DOI:10.1134/s1819714023080134
S. G. Bychkov, G. V. Prostolupov, A. A. Simanov, V. V. Khokhlova, G. P. Shcherbinina
{"title":"Identification of Natural and Man-Made Decompacted Zones in an Undermined Massif Based on High-Precision Gravimetric Observations","authors":"S. G. Bychkov, G. V. Prostolupov, A. A. Simanov, V. V. Khokhlova, G. P. Shcherbinina","doi":"10.1134/s1819714023080134","DOIUrl":null,"url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>This paper presents the results of gravimetric studies carried out at a potash deposit to obtain the information on negative engineering–geological processes in rocks caused by subsoil development. The developed high-precision monitoring gravimetric observation method makes it possible to determine field variations over time. The created physicogeological gravimetric monitoring model is a homogeneous geological medium with an isolated area with a variable rock density. The dynamic gravity anomaly processing and interpreting based on the synthesis of qualitative and quantitative methods for obtaining the geological information from the gravimetric data have been adapted for the gravimetric monitoring purposes. The interpretation resulted in a distribution area and a probable depth interval of rock decompaction, as well as rock density variations, which characterize the decompaction rate. Examples are given in relation to testing the developed technology for dividing the decompressed zones into natural and man-made zones at the Verkhnekamskoe potash deposit in order to improve its operation safety. The monitoring gravimetric observation results can be used to predict the dangerous geological process areas and to control the subsidence of the earth’s surface.</p>","PeriodicalId":49583,"journal":{"name":"Russian Journal of Pacific Geology","volume":null,"pages":null},"PeriodicalIF":0.9000,"publicationDate":"2024-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Russian Journal of Pacific Geology","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1134/s1819714023080134","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

This paper presents the results of gravimetric studies carried out at a potash deposit to obtain the information on negative engineering–geological processes in rocks caused by subsoil development. The developed high-precision monitoring gravimetric observation method makes it possible to determine field variations over time. The created physicogeological gravimetric monitoring model is a homogeneous geological medium with an isolated area with a variable rock density. The dynamic gravity anomaly processing and interpreting based on the synthesis of qualitative and quantitative methods for obtaining the geological information from the gravimetric data have been adapted for the gravimetric monitoring purposes. The interpretation resulted in a distribution area and a probable depth interval of rock decompaction, as well as rock density variations, which characterize the decompaction rate. Examples are given in relation to testing the developed technology for dividing the decompressed zones into natural and man-made zones at the Verkhnekamskoe potash deposit in order to improve its operation safety. The monitoring gravimetric observation results can be used to predict the dangerous geological process areas and to control the subsidence of the earth’s surface.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于高精度重力测量观测确定地下丘陵的天然和人工解压区
摘要 本文介绍了在一个钾盐矿床进行的重力测量研究结果,目的是获得有关底土开发造成的岩石负工程地质过程的信息。所开发的高精度监测重力观测方法可以确定现场随时间的变化。所创建的物理地质重力监测模型是一个均匀的地质介质,其中有一个岩石密度可变的孤立区域。基于从重力测量数据中获取地质信息的定性和定量综合方法的动态重力异常处理和解释已被调整用于重力测量监测目的。通过解释得出了岩石减压的分布区域和可能的深度区间,以及岩石密度变化,从而确定了减压率的特征。举例说明了在上卡姆斯基钾盐矿区测试将减压区划分为天然区和人工区的开发技术,以提高其运行安全性。监测重力观测结果可用于预测危险地质过程区域和控制地表下沉。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Russian Journal of Pacific Geology
Russian Journal of Pacific Geology 地学-地球科学综合
CiteScore
1.30
自引率
37.50%
发文量
34
审稿时长
>12 weeks
期刊介绍: Russian Journal of Pacific Geology publishes the results of research on the Earth crust and mantle composition and provides articles on the geological structure and patterns of distribution of mineral deposits in the Pacific Ocean, marginal seas and continental margins. It discusses the topics of stratigraphy, sedimentology, magmatic activity, and seismicity. The journal deals with the problems of lithosphere plates tectonics, and offers the results of neotectonic, geomorphological, geodesic, environmental and mining studies in the Pacific region. The journal accepts theoretical, methodical and philosophical articles covering general issues of geology, geophysics, geochemistry, geoecology and mining. The journal also publishes critical notes and comments, and reviews.
期刊最新文献
Structure of the Lithosphere and Its Influence on Gold Mineralisation in Southeast Kamchatka Morphological Characteristics and Chemical Composition of Placer Gold from the Kengeveem River Basin and First Data on Associated Platinum-Metal Mineralization (Magadan Oblast) Relief Forms on the Surface of Cosmic Spherules as Evidence for Their Origin Findings from Deep Magnetotelluric Studies in the Sloboda Geodynamic Intersection (East European Platform) Debris Flow Activity and Specific Features of Debris Flow Formation in the Geysernaya River Valley (Kamchatka)
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1