Detection and Monitoring of Subsurface Fluid Flow Using Electrical Resistivity Tomography

Thesis Overview

The project titled "Detection and Monitoring of Subsurface Fluid Flow Using Electrical Resistivity Tomography" focuses on the application of geophysical methods, specifically Electrical Resistivity Tomography (ERT), to detect and monitor subsurface fluid flow. This research aims to investigate the effectiveness of ERT in mapping and monitoring the movement of fluids underground, which is crucial for various industries such as environmental monitoring, hydrology, geothermal energy exploration, and groundwater management. Background of the Study: The subsurface flow of fluids, such as groundwater, contaminants, or hydrocarbons, plays a significant role in various natural and human-induced processes. Understanding the pathways and characteristics of subsurface fluid flow is essential for effective resource management, pollution remediation, and hazard assessment. Traditional methods for studying subsurface fluid flow include drilling boreholes and installing monitoring wells, which can be costly, time-consuming, and may provide limited spatial coverage. Geophysical techniques, such as ERT, offer a non-invasive and cost-effective alternative to investigate subsurface properties and fluid movement. Problem Statement: Despite the advantages of ERT in imaging subsurface structures, its application for detecting and monitoring fluid flow presents challenges related to resolution, interpretation of data, and the influence of environmental factors on electrical properties. There is a need to develop methodologies and analytical approaches to improve the accuracy and reliability of ERT for mapping fluid pathways and understanding fluid dynamics in the subsurface. Objective of the Study: The primary objective of this research is to assess the utility of ERT for detecting and monitoring subsurface fluid flow. Specific objectives include: 1. Investigating the relationship between electrical resistivity variations and fluid content in the subsurface. 2. Developing inversion algorithms to enhance the resolution of ERT images for fluid flow mapping. 3. Evaluating the effectiveness of time-lapse ERT surveys for monitoring changes in fluid distribution over time. 4. Validating ERT results with ground-truth data from boreholes and other monitoring techniques. Limitations of the Study: This research may face limitations related to the complexity of subsurface geology, the presence of noise in ERT data, and the accuracy of hydrogeological models used for interpretation. Additionally, site-specific conditions and access restrictions may impact the field implementation of ERT surveys. Scope of the Study: The study will focus on conducting field surveys using ERT equipment at selected sites with known subsurface fluid flow characteristics. Laboratory experiments may be conducted to validate the relationship between electrical resistivity and fluid content. The research will also involve data processing, inversion modeling, and interpretation of ERT results to map fluid pathways and monitor changes in fluid distribution. Significance of the Study: The findings of this research will contribute to advancing the understanding of subsurface fluid flow dynamics and the application of ERT for hydrogeological investigations. The results can benefit industries involved in groundwater management, environmental monitoring, and resource exploration by providing valuable insights into subsurface fluid behavior. Structure of the Thesis: The thesis will be organized into chapters that include an introduction, literature review, research methodology, discussion of findings, and conclusion. Each chapter will address specific aspects of the research objectives, data analysis, and interpretation of results. The thesis will also provide recommendations for future research and practical applications of ERT in subsurface fluid flow studies.