• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

影响CO地质封存区电阻率反演的因素:一项定量研究。

Factors Influencing Resistivity Inversion for CO Geological Storage Zones: A Quantitative Study.

作者信息

Wang Chenguang, Li Tianyang, Yu Tao, Feng Xiao, Liu Hanghang, Du Bingrui, Yang Yichun, Yang Linjun, Luo Yaxuan

机构信息

School of Resources and Safety Engineering, Chongqing University, Chongqing 400044, China.

State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing University, Chongqing 400044, China.

出版信息

Sensors (Basel). 2025 Mar 14;25(6):1796. doi: 10.3390/s25061796.

DOI:10.3390/s25061796
PMID:40338249
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11946699/
Abstract

This study establishes a homogeneous half-space and a horizontally layered two-layer background stratigraphy model using cross-borehole electrical resistivity tomography (ERT) based on an incomplete Gauss-Newton (IGN) method to investigate the resistivity inversion characteristics of CO storage zones. The effects of storage zone volume (VCO2), storage zone resistivity (ρCO2), background formation resistivity (ρf), and CO diffusion on inversion results were systematically analyzed, and the mechanisms underlying the influence of different parameters on inversion imaging were explored. The results indicate that an increase in the VCO2 significantly affects the inverted resistivity. The ρCO2 can be well inverted within a certain range, but inversion accuracy decreases once the resistivity exceeds a threshold. The ρf is a critical factor influencing inversion results; as the ρf increases, the inverted resistivity values rise markedly, although this effect exhibits an upper limit. The study also uncovers the exponential nature of CO diffusion in the storage zone, where diffusion leads to exponential changes in resistivity and the delineation of the diffusion zone is enhanced by comparing pre- and post-injection resistivity differences. These findings offer valuable insights for CO storage monitoring, contributing to both safety assessments and the evaluation of storage stability in geological sequestration.

摘要

本研究基于不完全高斯 - 牛顿(IGN)方法,利用跨孔电阻率层析成像(ERT)建立了均匀半空间和水平分层的两层背景地层模型,以研究二氧化碳(CO₂)储存区的电阻率反演特征。系统分析了储存区体积(VCO₂)、储存区电阻率(ρCO₂)、背景地层电阻率(ρf)以及CO₂扩散对反演结果的影响,并探讨了不同参数对反演成像影响的机制。结果表明,VCO₂的增加对反演电阻率有显著影响。ρCO₂在一定范围内可以很好地反演,但一旦电阻率超过阈值,反演精度就会降低。ρf是影响反演结果的关键因素;随着ρf的增加,反演电阻率值显著上升,不过这种影响存在上限。该研究还揭示了CO₂在储存区扩散的指数性质,即扩散导致电阻率呈指数变化,并且通过比较注入前后的电阻率差异增强了扩散区的 delineation。这些发现为CO₂储存监测提供了有价值的见解,有助于地质封存中的安全评估和储存稳定性评价。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7685/11946699/ef9dbe69aedd/sensors-25-01796-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7685/11946699/0c07b4d3535f/sensors-25-01796-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7685/11946699/e0f6bd8a1e7a/sensors-25-01796-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7685/11946699/a46995fe8620/sensors-25-01796-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7685/11946699/c476049d4a35/sensors-25-01796-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7685/11946699/b34db3641d53/sensors-25-01796-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7685/11946699/36fbba185460/sensors-25-01796-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7685/11946699/3a61c1259e04/sensors-25-01796-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7685/11946699/edc19f67bf3c/sensors-25-01796-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7685/11946699/f64f5344354c/sensors-25-01796-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7685/11946699/b2b9d3928138/sensors-25-01796-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7685/11946699/c55c903b7cc8/sensors-25-01796-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7685/11946699/f68cceb364ce/sensors-25-01796-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7685/11946699/12b732fa1dad/sensors-25-01796-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7685/11946699/9c354243ee5c/sensors-25-01796-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7685/11946699/ef9dbe69aedd/sensors-25-01796-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7685/11946699/0c07b4d3535f/sensors-25-01796-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7685/11946699/e0f6bd8a1e7a/sensors-25-01796-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7685/11946699/a46995fe8620/sensors-25-01796-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7685/11946699/c476049d4a35/sensors-25-01796-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7685/11946699/b34db3641d53/sensors-25-01796-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7685/11946699/36fbba185460/sensors-25-01796-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7685/11946699/3a61c1259e04/sensors-25-01796-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7685/11946699/edc19f67bf3c/sensors-25-01796-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7685/11946699/f64f5344354c/sensors-25-01796-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7685/11946699/b2b9d3928138/sensors-25-01796-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7685/11946699/c55c903b7cc8/sensors-25-01796-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7685/11946699/f68cceb364ce/sensors-25-01796-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7685/11946699/12b732fa1dad/sensors-25-01796-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7685/11946699/9c354243ee5c/sensors-25-01796-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7685/11946699/ef9dbe69aedd/sensors-25-01796-g015.jpg

相似文献

1
Factors Influencing Resistivity Inversion for CO Geological Storage Zones: A Quantitative Study.影响CO地质封存区电阻率反演的因素:一项定量研究。
Sensors (Basel). 2025 Mar 14;25(6):1796. doi: 10.3390/s25061796.
2
Mapping and monitoring dense non-aqueous phase liquid source zone by fused surface and cross-borehole electrical resistivity tomography.通过融合地面和跨孔电阻率层析成像技术对致密非水相液体源区进行测绘与监测。
J Hazard Mater. 2024 Oct 5;478:135618. doi: 10.1016/j.jhazmat.2024.135618. Epub 2024 Aug 22.
3
Contribution of Python-based BERT software for landslide monitoring using Electrical Resistivity Tomography datasets. A case study in Tghat-Fez (Morocco).基于Python的BERT软件在利用电阻层析成像数据集进行滑坡监测中的贡献。以摩洛哥的Tghat-Fez为例。
Data Brief. 2022 Nov 20;46:108763. doi: 10.1016/j.dib.2022.108763. eCollection 2023 Feb.
4
Application of the electrical resistivity tomography in groundwater detection on loess plateau.电阻率层析成像技术在黄土高原地下水探测中的应用。
Sci Rep. 2023 Mar 24;13(1):4821. doi: 10.1038/s41598-023-31952-7.
5
Imaging hydrological dynamics in karst unsaturated zones by time-lapse electrical resistivity tomography.通过时间推移电阻率层析成像技术对岩溶非饱和带水文动力学进行成像
Sci Total Environ. 2024 Jan 10;907:168037. doi: 10.1016/j.scitotenv.2023.168037. Epub 2023 Oct 23.
6
2D inversion of electrical resistivity investigation of contaminant plume around a dumpsite near Onitsha expressway in southeastern Nigeria.尼日利亚东南部奥尼查高速公路附近一个垃圾场周围污染物羽状物的电阻率调查二维反演
Sci Rep. 2021 Jun 4;11(1):11854. doi: 10.1038/s41598-021-91019-3.
7
Using roof borehole electrical resistivity tomography to monitor roof water infiltration in a mine work face.利用顶板钻孔电阻率层析成像技术监测煤矿工作面顶板涌水情况。
Sci Rep. 2025 Jan 21;15(1):2621. doi: 10.1038/s41598-025-86747-9.
8
Nonlinear inversion of electrical resistivity sounding data for multi-layered 1-D earth model using global particle swarm optimization (GPSO).基于全局粒子群优化算法(GPSO)的多层一维地球模型电阻率测深数据非线性反演
Heliyon. 2023 May 23;9(6):e16528. doi: 10.1016/j.heliyon.2023.e16528. eCollection 2023 Jun.
9
Integrating hydraulic tomography, electrical resistivity tomography, and partitioning interwell tracer test datasets to improve identification of pool-dominated DNAPL source zone architecture.将水压层析成像、电阻率层析成像和井间示踪剂测试数据分割相结合,以提高对油藏型 DNAPL 源区结构的识别。
J Contam Hydrol. 2021 Aug;241:103809. doi: 10.1016/j.jconhyd.2021.103809. Epub 2021 Apr 7.
10
Evaluating four-dimensional time-lapse electrical resistivity tomography for monitoring DNAPL source zone remediation.评估用于监测重质非水相液体源区修复的四维时移电阻层析成像技术。
J Contam Hydrol. 2014 Jul;162-163:27-46. doi: 10.1016/j.jconhyd.2014.04.004. Epub 2014 May 5.

本文引用的文献

1
Impact of Land Use and Land Cover (LULC) Changes on Carbon Stocks and Economic Implications in Calabria Using Google Earth Engine (GEE).利用谷歌地球引擎(GEE)研究土地利用和土地覆盖(LULC)变化对卡拉布里亚碳储量的影响及经济意义
Sensors (Basel). 2024 Sep 8;24(17):5836. doi: 10.3390/s24175836.
2
Evaluation of a Ground Subsidence Zone in an Urban Area Using Geophysical Methods.利用地球物理方法评估城市地区的地面沉降区
Sensors (Basel). 2024 Jun 9;24(12):3757. doi: 10.3390/s24123757.
3
Monitoring Injected CO Using Earthquake Waves Measured by Downhole Fibre-Optic Sensors: CO2CRC Otway Stage 3 Case Study.
利用井下光纤传感器测量的地震波监测注入的二氧化碳:二氧化碳CRC奥特韦第3阶段案例研究。
Sensors (Basel). 2022 Oct 16;22(20):7863. doi: 10.3390/s22207863.
4
Towards Tomography-Based Real-Time Control of Multiphase Flows: A Proof of Concept in Inline Fluid Separation.迈向基于断层扫描的多相流实时控制:在线流体分离的概念验证
Sensors (Basel). 2022 Jun 12;22(12):4443. doi: 10.3390/s22124443.
5
Soil Water Content Prediction Using Electrical Resistivity Tomography (ERT) in Mediterranean Tree Orchard Soils.利用电阻率层析成像(ERT)预测地中海果园土壤的水分含量。
Sensors (Basel). 2022 Feb 10;22(4):1365. doi: 10.3390/s22041365.
6
On-Line Multi-Frequency Electrical Resistance Tomography (ERT) Device for Crystalline Phase Imaging in High-Temperature Molten Oxide.用于高温熔盐中晶相成像的在线多频电阻层析成像(ERT)装置
Sensors (Basel). 2022 Jan 28;22(3):1025. doi: 10.3390/s22031025.
7
Extended Joint Sparsity Reconstruction for Spatial and Temporal ERT Imaging.扩展联合稀疏重建在空间和时间 ERT 成像中的应用。
Sensors (Basel). 2018 Nov 17;18(11):4014. doi: 10.3390/s18114014.