Seismic Data Visualization and Analysis

Seismic exploration is one of the central parts in petroleum exploration and production. In this exploration, seismic data visualization and analysis is a method to determine the structure of the earth's interior, which is a part of the whole process in predicting new oil field. SEGY (*.sgy) is one of the file formats that stores the seismic data. This paper presents the dissertation report on the development of seismic data visualization and analysis application using MATLAB. The main objectives of this project are to develop a functional application for seismic data visualization and analysis and to ensure that the application can load, read, visualize, and analyze the seismic data in SEGY file through MATLAB. This is because raw seismic data need to be converted into usable information and manual processing of the numerous data can be tedious and time consuming. The scope of study mainly focuses at SEGY file structure, seismic data reading and visualization techniques, and seismic data analysis method. Several findings of MATLAB functions on how to read the structure and content of SEGY file have been very useful for this project. In this application, seismic data analysis focuses at the study of the density variance of the earth's layer based on the seismic amplitude. This project applies evolutionary development method, which is effective as changes in requirements may appear in any phases of the application development. As overall, seismic data processing draws on the knowledge of wave propagation effects and acquisition geometry to create geologically meaningful images of the earth's subsurface. I

Seismic Data Visualization and Analysis

Seismic exploration is one of the central parts in petroleum exploration and production. In this exploration, seismic data visualization and analysis is a method to determine the structure of the earth's interior, which is a part of the whole process in predicting new oil field. SEGY (*.sgy) is one of the file formats that stores the seismic data. This paper presents the dissertation report on the development of seismic data visualization and analysis application using MATLAB. The main objectives of this project are to develop a functional application for seismic data visualization and analysis and to ensure that the application can load, read, visualize, and analyze the seismic data in SEGY file through MATLAB. This is because raw seismic data need to be converted into usable information and manual processing of the numerous data can be tedious and time consuming. The scope of study mainly focuses at SEGY file structure, seismic data reading and visualization techniques, and seismic data analysis method. Several findings of MATLAB functions on how to read the structure and content of SEGY file have been very useful for this project. In this application, seismic data analysis focuses at the study of the density variance of the earth's layer based on the seismic amplitude. This project applies evolutionary development method, which is effective as changes in requirements may appear in any phases of the application development. As overall, seismic data processing draws on the knowledge of wave propagation effects and acquisition geometry to create geologically meaningful images of the earth's subsurface. I