Seismic attribute analysis for subsurface fracture detection in an oil and gas reservoir

Thesis Abstract

Abstract
Seismic attribute analysis plays a crucial role in the exploration and production of hydrocarbons in subsurface reservoirs. This study focuses on the application of seismic attributes for detecting subsurface fractures in oil and gas reservoirs. Fractures have a significant impact on reservoir performance, affecting fluid flow and ultimately hydrocarbon recovery. By utilizing advanced seismic attribute analysis techniques, this research aims to enhance the understanding of subsurface fracture networks and their characterization in reservoirs. The study involves the analysis of seismic data acquired through various methods to identify and map fractures within the reservoir. The introduction section provides a comprehensive overview of the research topic, highlighting the importance of subsurface fracture detection in reservoir characterization. The background of the study delves into the fundamental concepts of seismic attribute analysis and its relevance in the oil and gas industry. The problem statement identifies the challenges associated with conventional fracture detection methods and emphasizes the need for advanced techniques to improve reservoir characterization. The objectives of the study include developing a methodology for seismic attribute analysis to accurately detect subsurface fractures, assessing the limitations of existing techniques, defining the scope of the research, and demonstrating the significance of the study in enhancing reservoir management practices. The structure of the thesis outlines the organization of the research content, providing a roadmap for the reader to navigate through the study seamlessly. The literature review chapter explores existing studies and methodologies related to seismic attribute analysis and fracture detection in subsurface reservoirs. It covers ten key areas of research, including the types of seismic attributes used, fracture characterization techniques, and case studies demonstrating successful fracture detection using seismic data. The research methodology chapter outlines the approach taken to analyze seismic attributes for fracture detection. It includes detailed descriptions of data acquisition, processing techniques, attribute selection criteria, and interpretation methods. The chapter also discusses the validation of results and the sensitivity analysis to evaluate the reliability of the proposed methodology. In the discussion of findings chapter, the results of the seismic attribute analysis are presented and interpreted to identify subsurface fractures within the oil and gas reservoir. The chapter discusses the implications of the findings on reservoir performance and the potential benefits of incorporating fracture information into reservoir modeling and management strategies. The conclusion and summary chapter provide a comprehensive overview of the research outcomes, highlighting the key findings, implications, and recommendations for future studies. The study contributes to the advancement of subsurface fracture detection techniques using seismic attributes, offering valuable insights into reservoir characterization and management practices in the oil and gas industry. In conclusion, this research demonstrates the efficacy of seismic attribute analysis for subsurface fracture detection in oil and gas reservoirs, emphasizing its significance in enhancing reservoir characterization and management practices. The findings of this study have the potential to improve hydrocarbon recovery efficiency and optimize reservoir development strategies in the oil and gas industry.