Modern Singular Spectral-Based Denoising and Filtering Techniques for 2D and 3D Reflection Seismic Data PDF Download
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Author: R. K. Tiwari Publisher: Springer Nature ISBN: 3030193047 Category : Science Languages : en Pages : 165
Book Description
This book discusses the latest advances in singular spectrum-based algorithms for seismic data processing, providing an update on recent developments in this field. Over the past few decades, researchers have extensively studied the application of the singular spectrum-based time and frequency domain eigen image methods, singular spectrum analysis (SSA) and multichannel SSA for various geophysical data. This book addresses seismic reflection signals, which represent the amalgamated signals of several unwanted signals/noises, such as ground roll, diffractions etc. Decomposition of such non-stationary and erratic field data is one of the multifaceted tasks in seismic data processing. This volume also includes comprehensive methodological and parametric descriptions, testing on appropriately generated synthetic data, as well as comparisons between time and frequency domain algorithms and their applications to the field data on 1D, 2D, 3D and 4D data sets. Lastly, it features an exclusive chapter with MATLAB coding for SSA.
Author: R. K. Tiwari Publisher: Springer Nature ISBN: 3030193047 Category : Science Languages : en Pages : 165
Book Description
This book discusses the latest advances in singular spectrum-based algorithms for seismic data processing, providing an update on recent developments in this field. Over the past few decades, researchers have extensively studied the application of the singular spectrum-based time and frequency domain eigen image methods, singular spectrum analysis (SSA) and multichannel SSA for various geophysical data. This book addresses seismic reflection signals, which represent the amalgamated signals of several unwanted signals/noises, such as ground roll, diffractions etc. Decomposition of such non-stationary and erratic field data is one of the multifaceted tasks in seismic data processing. This volume also includes comprehensive methodological and parametric descriptions, testing on appropriately generated synthetic data, as well as comparisons between time and frequency domain algorithms and their applications to the field data on 1D, 2D, 3D and 4D data sets. Lastly, it features an exclusive chapter with MATLAB coding for SSA.
Author: Publisher: ISBN: Category : Languages : en Pages :
Book Description
Abstract : A primary objective of the seismic data processing workflow is to improve the signal to noise ratio. A seismic record has many types of noise besides primary reflections which convey the vital information. A non-negligible part of these noises is multiple reflections causing difficulties and misunderstandings. This work examines filtering techniques with different methods and deconvolution technique in an effort to attenuate multiples on a 2D line of marine data from southwest of the Taiwan and compares of their results. Prior to evaluating methods for attenuating multiples, basic seismic processing was applied to the data. This consisted of the following: zeroing bad traces, applying a spherical divergence correction, and band-pass filtering. The data were then sorted into common-mid-point (CMP) gathers. These CMP gathers were analyzed, and stacking velocities were determined so that Normal Move-out (NMO) processing and stacking can be applied. Following this basic processing, two methods of multiple suppression were applied separately and evaluated: 1) filtering; 2) deconvolution. The filtering methods included stacking, frequency(f)-wavenumber(k) filtering and the Radon Transform methods were applied in an effort to separate multiples and primaries. Deconvolution was also utilized. Finally, the results of these approaches were discussed and compared with the goal of obtaining reasonable results. For this data set, it appears that the Radon Transform attenuates the long-period multiples better than the other approaches. Applying deconvolution on Radon-filtered data also shows better results. Stacked and migrated section of the data was considered as the final image.
Author: Rongzhi Lin Publisher: ISBN: Category : Geophysics Languages : en Pages : 0
Book Description
Simultaneous-source acquisition is a seismic data acquisition technology that has become quite popular in recent years due to its economic advantages. Contrary to the conventional seismic acquisition, where one records the seismic response of only one source at a time, in simultaneous source acquisition, an array of receivers record the response of more than one source. The latter leads to a saving in acquisition time, but it creates new problems in subsequent data processing stages where each seismic record must correspond to the response of one single source. The basic idea for simultaneous source data processing is to separate the sources and thereby estimate the responses one would have acquired via a conventional seismic data acquisition. Then one can adopt a traditional seismic workflow to process and invert the seismic data. This thesis focuses on developing inversion schemes for separating simultaneous-source data. I pay particular attention to strategies based on the Projected Gradient Descent (PGD) method with a projection synthesized via robust denoising algorithms. First, I propose adopting a robust and sparse Radon transform to define a coherence pass projection operator to guarantee solutions that honour simultaneous source records. I show that a critical improvement in convergence is attainable when the coherence pass projection originates from a robust and sparse Radon transform. The latter is a consequence of having an iterative source separation algorithm that applies intense denoising to erratic blending noise in its initial iterations. In addition, I also propose an inversion scheme for simultaneous-source data separation based on a robust low-rank approximation algorithm. A robust Multichannel Singular Spectrum Analysis (MSSA) filtering is adopted as the projection operator to suppress source interferences in the frequency-space domain. The MSSA method is reformulated as a robust optimization problem that includes a low-rank Hankel matrix constraint, written as the product of two matrices of lower dimension obtained by the bifactored gradient descent (BFGD) method. In the second part of my thesis, I explore an inversion scheme for source separation and source reconstruction that honours actual source coordinates. The proposed method adopts a projected gradient descent optimization with a reduced-rank MSSA projection operator. I propose to adopt an Interpolated-MSSA (I-MSSA) to separate and reconstruct sources in situations where the acquired simultaneous source data correspond to sources with ar- arbitrary irregular-grid coordinates. Additionally, a faster and computational-efficient MSSA (FMSSA) algorithm was applied to speed up the method.
Author: Zhao Zhang Publisher: ISBN: Category : Languages : en Pages :
Book Description
Spectral decomposition is a modern tool that utilizes seismic data to generate additional useful information in seismic exploration for hydrocarbon detection, lithology identification, stratigraphic interpretation, filtering and others. Different spectral decomposition methods with applications to seismic data were reported and investigated in past years. Many methods usually do not consider the non-stationary features of seismic data and, therefore, are not likely to give satisfactory results. S-transform developed in recent years is able to provide time-dependent frequency analysis while maintaining a direct relationship with the Fourier spectrum, a unique property that other methods of spectral decomposition may not have. In this thesis, I investigated the feasibility and efficiency of using S-transform for hydrocarbon detection and time-varying surface wave filtering. S-transform was first applied to two seismic data sets from a clastic reservoir in the North Sea and a deep carbonate reservoir in the Sichuan Basin, China. Results from both cases demonstrated that S-transform decomposition technique can detect hydrocarbon zones effectively and helps to build the relationships between lithology changes and high frequency variation and between hydrocarbon occurrence and low-frequency anomaly. However, its time resolution needs to be improved. In the second part of my thesis, I used S-transform to develop a novel Time-frequency-wave-number-domain (T-F-K) filtering method to separate surface wave from reflected waves in seismic records. The S-T-F-K filtering proposed here can be used to analyze surface waves on separate f-k panels at different times. The method was tested using hydrophone records of four-component seismic data acquired in the shallow-water Persian Gulf where the average water depth is about 10m and Scholte waves and other surfaces wave persistently strong. Results showed that this new S-T-F-K method is able to separate and sttenuate surface waves and to improve greatly the quality of seismic reflection signals that are otherwise completely concealed by the aliased surface waves.
Author: Özdoğan Yilmaz Publisher: SEG Books ISBN: 1560800941 Category : Science Languages : en Pages : 2065
Book Description
Expanding the author's original work on processing to include inversion and interpretation, and including developments in all aspects of conventional processing, this two-volume set is a comprehensive and complete coverage of the modern trends in the seismic industry - from time to depth, from 3D to 4D, from 4D to 4C, and from isotropy to anisotropy.
Author: Derman Dondurur Publisher: Elsevier ISBN: 0128114916 Category : Science Languages : en Pages : 610
Book Description
Acquisition and Processing of Marine Seismic Data demonstrates the main principles, required equipment, and suitable selection of parameters in 2D/3D marine seismic data acquisition, as well as theoretical principles of 2D marine seismic data processing and their practical implications. Featuring detailed datasets and examples, the book helps to relate theoretical background to real seismic data. This reference also contains important QC analysis methods and results both for data acquisition and marine seismic data processing. Acquisition and Processing of Marine Seismic Data is a valuable tool for researchers and students in geophysics, marine seismics, and seismic data, as well as for oil and gas exploration. Contains simple step-by-step diagrams of the methodology used in the processing of seismic data to demonstrate the theory behind the applications Combines theory and practice, including extensive noise, QC, and velocity analyses, as well as examples for beginners in the seismic operations market Includes simple illustrations to provide to the audience an easy understanding of the theoretical background Contains enhanced field data examples and applications
Author: Arthur E. Barnes Publisher: SEG Books ISBN: 1560803312 Category : Science Languages : en Pages : 269
Book Description
The Handbook of Poststack Seismic Attributes is a general reference for poststack seismic attributes. It discusses their theory, meaning, computation, and application, with the goal of improving understanding so that seismic attributes can be applied more effectively. The chapters of the book build upon each other and progress from basic attributes to more involved methods. The book introduces the ideas that underlie seismic attributes and reviews their history from their origins to current developments. It examines attribute maps and interval statistics; complex trace attributes; 3D attributes that quantify aspects of geologic structure and stratigraphy, primarily dip, azimuth, curvature, reflection spacing, and parallelism; seismic discontinuity attributes derived through variances or differences; spectral decomposition, thin-bed analysis, and waveform classification; the two poststack methods that purportedly record rock properties — relative acoustic impedance through recursive inversion, and Q estimation through spectral ratioing; and multiattribute analysis through volume blending, cross-plotting, principal component analysis, and unsupervised classification. The book ends with an overview of how seismic attributes aid data interpretation and discusses bright spots, frequency shadows, faults, channels, diapirs, and data reconnaissance. A glossary provides definitions of seismic attributes and methods, and appendices provide background mathematics. The book is intended for reflection seismologists engaged in petroleum exploration, including seismic data interpreters, data processors, researchers, and students.
Author: R. K. Tiwari
Author: R. K. Tiwari
Author: Vicente E. Oropeza
Author: John J. Miller
Author: 
Author: Rongzhi Lin
Author: Zhao Zhang
Author: Özdoğan Yilmaz
Author: Derman Dondurur
Author: Arthur E. Barnes
Author: Özdoğan Yilmaz