Analysis of Microseismic Events for Characterizing Fracture Networks in Reservoir Rocks

Thesis Abstract

**Abstract
** Microseismic monitoring has become an essential tool in the petroleum industry for characterizing subsurface reservoirs and optimizing hydrocarbon recovery. This thesis focuses on the analysis of microseismic events to characterize fracture networks in reservoir rocks. The study aims to enhance the understanding of fracture behavior and distribution within reservoir formations, ultimately improving reservoir management strategies. The introduction provides a comprehensive overview of microseismic monitoring techniques and their applications in the oil and gas industry. It highlights the significance of characterizing fracture networks for optimizing production and maximizing hydrocarbon recovery. The background of the study discusses the current challenges in reservoir characterization and the limitations of existing methodologies. The problem statement identifies the need for a more detailed analysis of microseismic events to accurately characterize fracture networks in reservoir rocks. The objectives of the study include developing a methodology for interpreting microseismic data, identifying key fracture parameters, and assessing their impact on reservoir performance. The limitations of the study are acknowledged, such as data availability and uncertainties associated with microseismic event interpretation. The scope of the study encompasses the analysis of microseismic data from a selected reservoir to investigate fracture networks and their spatial distribution. The significance of the study lies in its potential to enhance reservoir characterization, improve production forecasting, and optimize hydraulic fracturing operations. The structure of the thesis outlines the organization of the research, including chapters on literature review, research methodology, discussion of findings, and conclusion. The literature review delves into existing studies on microseismic monitoring, fracture characterization techniques, and reservoir management strategies. It provides a foundation for the development of the research methodology, which includes data acquisition, processing, and analysis techniques. The study employs advanced geophysical and statistical methods to interpret microseismic data and extract meaningful insights into fracture networks. The discussion of findings presents the results of the microseismic analysis, highlighting key fracture parameters, their spatial distribution, and their impact on reservoir performance. The findings are discussed in the context of existing literature and industry practices, providing valuable insights for reservoir engineers and geoscientists. The conclusion summarizes the key findings of the study, discusses their implications for reservoir management, and suggests areas for future research. In conclusion, this thesis contributes to the advancement of microseismic monitoring techniques for characterizing fracture networks in reservoir rocks. By improving the understanding of subsurface fracture behavior, the study aims to enhance reservoir management practices, optimize production strategies, and maximize hydrocarbon recovery.