Thesis Abstract

Abstract
The efficient extraction of oil and gas resources from reservoirs is crucial for the energy industry. Seismic data analysis plays a vital role in understanding the subsurface structures and properties of oil fields, aiding in reservoir characterization and production optimization. This thesis focuses on the analysis of seismic data for reservoir characterization in an oil field, with the objective of enhancing the understanding of subsurface reservoirs and improving hydrocarbon recovery. The introduction sets the context by highlighting the importance of seismic data analysis in reservoir characterization. The background of the study provides an overview of existing research in the field of geophysics and its relevance to the current study. The problem statement identifies the gaps in knowledge and the need for further research in seismic data analysis for reservoir characterization. The objectives of the study are outlined to guide the research process towards achieving specific goals. Limitations of the study are acknowledged to recognize the constraints and potential challenges that may affect the research outcomes. The scope of the study defines the boundaries within which the research will be conducted, outlining the specific aspects of seismic data analysis and reservoir characterization that will be explored. The significance of the study is discussed to emphasize the potential contributions of the research to the field of geophysics and the oil industry. The structure of the thesis provides an overview of the organization of the research work, highlighting the chapters and their respective contents. Definitions of key terms are provided to ensure clarity and understanding of the terminology used throughout the thesis. Chapter two presents a comprehensive literature review, covering ten key areas related to seismic data analysis, reservoir characterization, and oil field exploration. The review synthesizes existing knowledge and identifies gaps that will be addressed in the current research. Chapter three details the research methodology, including data collection methods, data processing techniques, and analytical approaches used in the analysis of seismic data for reservoir characterization. The chapter outlines the steps taken to achieve the research objectives and provides a detailed description of the research process. Chapter four presents the findings of the study, including the results of the seismic data analysis and their implications for reservoir characterization in the oil field. The discussion explores the significance of the findings, their alignment with the research objectives, and their potential impact on oil field operations. Chapter five concludes the thesis by summarizing the key findings, discussing their implications, and highlighting the contributions of the research to the field of geophysics. The conclusion also offers recommendations for future research directions and practical applications of the study findings in the oil industry. In conclusion, this thesis on the analysis of seismic data for reservoir characterization in an oil field contributes to the advancement of geophysical research and its application in the optimization of oil and gas production. The findings of this study have the potential to enhance reservoir management practices and improve the efficiency of hydrocarbon recovery processes in oil fields.

Thesis Overview

The project titled "Analysis of seismic data for reservoir characterization in an oil field" aims to investigate and analyze the seismic data collected from an oil field to enhance reservoir characterization. Reservoir characterization plays a crucial role in the oil and gas industry as it provides valuable information about the properties and behavior of subsurface reservoirs. By utilizing advanced seismic data analysis techniques, this research seeks to improve the understanding of reservoir properties such as porosity, permeability, and fluid saturation. The research will involve the collection of seismic data using various geophysical methods such as reflection and refraction surveys. These data will then be processed and analyzed to extract meaningful information about the subsurface structure of the oil field. Advanced seismic interpretation techniques, including seismic attribute analysis and seismic inversion, will be employed to characterize the reservoir properties accurately. The project will also focus on integrating seismic data with well log data and geological information to create a comprehensive reservoir model. This integrated approach will provide a more detailed understanding of the reservoir architecture and heterogeneity, which are crucial for reservoir management and development planning. Furthermore, the research will investigate the limitations and challenges associated with seismic data analysis for reservoir characterization. Factors such as data quality, imaging resolution, and interpretation uncertainties will be carefully examined to ensure the reliability and accuracy of the results. Overall, this project aims to contribute to the field of geophysics by advancing the understanding of reservoir characterization through the analysis of seismic data. The findings of this research are expected to provide valuable insights for improving reservoir management practices and optimizing oil recovery strategies in oil fields.