Seismic data interpretation using digital image processing pdf

Seismic attribute mapping of structure and stratigraphy. This chapter explores some of the commonly used methods to enhance seismic images in the spatial domain. Seismic data interpretation using digital image processing wiley. In this work, we aim to highlight the parts of the seismic volume that receive highest attention from the human interpreter, and based. Includes readytorun matlab algorithms for most of the techniques presented.

Request pdf seismic data interpretation using digital image processing bridging the gap between modern image processing practices by the scientific. Studies for acceptance, a thesis entitled acquisition, processing, and interpretation of pp and p s 3d seismic data submitted by glenn allen larson in partial fulfilment of the requirements of the degree of master of science. Finally, the chapter describes a suite of interpretation pitfalls that any interpreter of seismic data should be aware of before interpreting seismic images. This basic sequence now is described to gain an overall understanding of each step. Pdf timefrequency analysis of seismic data using local. Seismic data interpretation seismic data interpretation.

In this paper, we propose a saliencybased attribute, salsi, to detect salt dome bodies within seismic volumes. This book covers the basics of seismic exploration, with a focus on image processing techniques as applied to seismic data. The book includes essential research and teaching material for digital signal and image processing individuals interested in learning seismic data interpretation from the point of. Presents image processing concepts that may be readily applied directly to seismic data. This modern introduction to seismic data processing in both exploration and global geophysics demonstrates practical applications through real data and tutorial examples. The geological image is calibrated to the wells so the data can be used to calculate prospect volumetrics, net pay and porosity. Application of image analysis techniques to seismic data ieee xplore. By contrast, this course uses cartoons and real data examples to provide an intuitive understanding of the seismic processing procedures. This short book is for students, professors and professionals interested in signal processing of seismic data using matlab. Wail abdulhakim mousa bridging the gap between modern image processing practices by the scientific community at large and the world of geology and reflection seismology this book covers the basics of seismic exploration. Mousa, seismic data interpretation using digital image processing. This chapter explores color models and useful color bars used for seismic image display. Seismic data automatic gain control velocity analysis downward continuation record section. At sip we offer a strong combination of experience and unique etechnology.

Moreover, an interactive environment is versatile in viewing the 3d data volume. Geophysical seismic interpretation is part of geophysical oil prospecting. Provides an easy to understand overview of popular seismic processing and interpretation techniques from the point of view of a digital signal processor. Saliency for seismic interpretation ghassan alregib. Seismic data interpretation using the hough transform and principal. It evaluates and analyses seismic reflection data, aiming at the detection of th. For example, we can examine vertical sections in inline, crossline, or any arbitrary direction, as well as horizontal sections, namely, time slices. Salsi is based on the saliency theory and modeling of the human vision system hvs. Request pdf seismic data interpretation using digital image processing bridging the gap between modern image processing practices by the scientific community at. It is an ideal resource for students, professors and working professionals who are interested in learning about the application of. Buy seismic data interpretation using digital image processing by abdullatif a. The median filter is one of the most widely used nonlinear techniques in signal and image processing.

Since the introduction of digital recording, a routine sequence in seismic data processing has evolved. Over 90% of our staff have more than 20 years of experience in their respective fields, with significant strengths in land processing, velocity modelling, depth imaging, seismic inversion, rock physics, interpretation, depth conversion. Processing, inversion, and interpretation of seismic data. There are three primary steps in processing seismic data deconvolution, stacking, and migration, in their usual order of application. The book includes essential research and teaching material for digital signal and image processing for individuals interested in learning seismic data interpretation. Stratigraphic traps are generally subtler and difficult to recognize on seismic sections as opposed to structural traps.

Seismic attributes seismic data interpretation using. Timefrequency analysis of seismic data using local attributes. Everyday low prices and free delivery on eligible orders. Oz yilmaz compiled a great deal of information on those two volumes and came up with one of the best, if not the best, reference for geophysicists worldwide.

Seismic data analysis is the bible of seismic processing. Acquisition, processing, and interpretation of pp and ps. We achieve this by combining seismic data, well log data, horizon surfaces and velocities from time or depth imaging. Basic theory of seismic waves traveling through the earth and how they interact with earth materials and interfaces. Knowledgebased image analysis for geophysical interpretation. Seismic image enhancement in the spatial domain seismic. In this work two novel image processing techniques are applied to detect and delineate complex salt bodies from seismic exploration profiles. Seismic data interpretation using digital image processing, enhanced edition book. The book includes essential research and teaching material for digital signal and image processing individuals interested in learning seismic data interpretation from the point of view of digital signal processing. Bridging the gap between modern image processing practices by the scientific community at large and the world of geology and reflection seismology this book.

Request pdf seismic data interpretation using digital image processing bridging the gap between modern image processing practices by the scientific community at large and the world of geology. The use of an interactive interpretation workstation is a common way to deal with large 3d data volumes. Seismic data processing uses both the concepts of geometrical optics and the powerful techniques of fourier analysis. Second, we discuss the challenges in seismic interpretation and provide insights and some directions to address such challenges using emerging machine learning algorithms.

Bridging the gap between modern image processing practices by the scientific community at large and the world of geology and reflection seismology this book covers the basics of seismic exploration, with a focus on image processing techniques as a. These keywords were added by machine and not by the authors. The book includes essential research and teaching material for digital signal and image processing individuals interested in learning seismic data interpretation from the point of view of digital signal. This process is experimental and the keywords may be updated as the learning algorithm improves. Seismic data interpretation using digital image processing. Discussions of theories, concepts, and algorithms are followed by synthetic and real data examples to. It has been utilized in several seismic signal processing fields, such as image. Digital filtering theory applies to virtually any sampled information in time e. We show how the techniques of digital image analysis can be efficiently used to help in the interpretation of seismic crosssections. This is a must have book for me and the offer amazon had was amazing.

Three color models are commonly used in computer displays of seismic images and seismic attribute images. Digital image processing offers new tools in 3d seismic interpretation. Keywords subsurface imaging and exploration, seismic interpretation, digital signal processing, machine learning, human. Buy the hardcover book seismic data interpretation using digital image processing by abdullatif a. Introduction to the methods of acquisition and processing of seismic reflection data. Bridging the gap between modern image processing practices by the scientific community at large and the world of geology and reflection seismology this book covers the basics of seismic exploration, with a focus on image. The underlying physics and mathematics of the various seismic analysis methods are presented, giving students an appreciation. The median filter is well known for preserving sharp discontinuities and removing impulse noise in the signal. In addition to the developments in all aspects of conventional processing, this content represents a comprehensive and complete coverage of the modern trends in the seismic industryfrom time to depth.

There are various algorithms based on multivariate analysis or neural networks 3, 4 that can perform pca on a given data set. Cdp stacking charts, binning, filtering, dipmoveout, static and dynamic corrections, digital seismic data processing, seismic deconvolution and migration methods, attribute analysis, bright and dim spots, seismic stratigraphy, high resolution seismics, vsp, avo. Discussions of theories, concepts, and algorithms are followed by synthetic and real data examples to provide the reader with. Seismic inversion can be run from prestack or poststack seismic data. Bridging the gap between modern image processing practices by the scientific community at large and the world of geology and reflection seismology this book covers the basics of seismic exploration, with a focus on image processing techniques as applied to seismic data. The stepbystep demo of the full reflection seismic data processing.