Thesis Abstract

Abstract
This thesis presents a comprehensive study on the analysis of seismic data for reservoir characterization in an oil field. The primary aim of this research is to utilize advanced geophysical techniques to enhance the understanding of subsurface reservoir properties, with a focus on improving oil and gas exploration and production processes. The study employs seismic data interpretation methods to extract valuable information about the reservoir structure, lithology, fluid content, and other crucial parameters that influence reservoir performance. The introduction section provides an overview of the significance of reservoir characterization in the oil and gas industry and highlights the challenges associated with conventional reservoir evaluation methods. The background of the study delves into the evolution of seismic data acquisition and processing techniques, emphasizing their pivotal role in modern reservoir characterization practices. The problem statement elucidates the existing gaps in reservoir characterization methodologies and underscores the need for more advanced and reliable techniques to address these challenges effectively. The objectives of the study outline the specific goals and research questions that guide the investigation, aiming to improve reservoir characterization accuracy and efficiency. The limitations of the study acknowledge the constraints and potential challenges that may impact the research outcomes, such as data quality issues, computational complexities, and interpretational uncertainties. The scope of the study defines the boundaries and extent of the research, detailing the specific focus areas and target objectives within the field of reservoir characterization. The significance of the study underscores the practical implications and potential benefits of applying advanced seismic data analysis techniques in reservoir characterization, including improved reservoir management, enhanced resource recovery, and cost-effective exploration strategies. The structure of the thesis provides a roadmap of the subsequent chapters and their respective contents, facilitating a clear understanding of the research framework. The literature review chapter synthesizes existing knowledge and research findings related to seismic data analysis, reservoir characterization methods, and their applications in the oil and gas industry. The research methodology chapter outlines the data collection, processing, and analysis procedures, detailing the tools, software, and techniques employed in the study. The discussion of findings chapter presents a detailed analysis and interpretation of the seismic data results, highlighting key observations, trends, and insights obtained from the reservoir characterization process. The conclusion and summary chapter synthesizes the research outcomes, discusses the implications of the findings, and offers recommendations for future research directions in the field of reservoir characterization. Overall, this thesis contributes to the advancement of reservoir characterization practices by demonstrating the efficacy of seismic data analysis techniques in improving subsurface imaging and reservoir property estimation. The research findings have significant implications for the oil and gas industry, offering valuable insights that can inform decision-making processes and enhance reservoir management strategies.

Thesis Overview

The project "Analysis of seismic data for reservoir characterization in an oil field" focuses on the critical aspect of geophysical exploration in the oil and gas industry. Seismic data analysis plays a crucial role in identifying and characterizing subsurface reservoirs that contain oil and gas deposits. By utilizing advanced seismic imaging techniques, this research aims to enhance the understanding of the geological structures and properties of underground reservoirs within an oil field. The primary objective of this project is to analyze seismic data to accurately characterize the reservoirs in an oil field. This involves interpreting seismic signals to delineate the subsurface structures, such as faults, folds, and stratigraphic layers, that may contain hydrocarbon reserves. By employing sophisticated data processing and interpretation methods, the research seeks to provide a comprehensive overview of the reservoir properties, including porosity, permeability, and fluid saturation, which are essential for reservoir management and production optimization. The project will involve the collection of seismic data using various acquisition techniques, such as 2D and 3D seismic surveys, to capture detailed subsurface images of the reservoirs. The acquired seismic data will then be processed and interpreted using advanced software tools to extract valuable information about the reservoir geometry, lithology, and fluid content. By integrating geological and geophysical datasets, the research aims to create accurate reservoir models that can aid in reservoir characterization and simulation studies. Furthermore, the project will address the challenges and limitations associated with seismic data analysis in oil field reservoir characterization. Issues such as data quality, imaging artifacts, and interpretation uncertainties will be carefully examined to ensure the reliability and accuracy of the results obtained. Additionally, the research will explore the scope and significance of utilizing seismic data for improving reservoir management practices and enhancing the overall productivity of oil field operations. In conclusion, the "Analysis of seismic data for reservoir characterization in an oil field" project represents a significant contribution to the field of geophysics and petroleum exploration. By employing advanced seismic data analysis techniques, the research aims to enhance the understanding of subsurface reservoirs and provide valuable insights for effective reservoir characterization and management in oil fields.