Seismic data must be interpreted using digital signal processing techniques in order to create accurate representations of petroleum reservoirs and the interior structure of the earth. The basic models in seismic processing assume that reflection data only consist of. In processing procedure, the information recorded in the field is put into a form that most greatly facilitates geological interpretation. Advanced digital signal processing of seismic data by wail a. Gabor deconvolution easily beats wiener deconvolution on a nonstationary synthetic. Maximum likelihood deconvolution download ebook pdf, epub. Introduction to the methods of acquisition and processing of seismic reflection data.
Deconvolution can also be performed on other types of data, such as gravity, magnetic or well log data. Deconvolution is basically the opposite of convolution. Seismic processing often involves several stages of deconvolution, each of a different type and with a different objective. The concept of deconvolution is widely used in the techniques of signal processing and image processing. Seismic data processing is a course designed to provide students with. Reflection seismic geol463 method principles data acquisition processing data visualization. The technique itself has various applications, including mapping ocean floors, determining the structure of sediments, mapping subsurface currents and hydrocarbon exploration.
Introduction to deconvolution and image preparation version 3. Find powerpoint presentations and slides using the power of, find free presentations research about deconvolution seismic ppt. Conventional processing of reflection seismic data yields an earth image represented by a seismic section which usually is displayed in time. Appraise seismic acquisition design geometry from processing requirements. Convolution of two series, ui, and wi, denoted uw, is. Lecture10 sesmic data processing free download as powerpoint presentation. The technique ensures that traces from the same surface source and. Advanced digital signal processing of seismic data by wail. Reflections on the deconvolution of land seismic data cseg. Click download or read online button to get seismic inversion deconvolution book now. Ideally, deconvolution should compress the wavelet components and eliminate multiples, leaving only the earths reflectivity in the seismic trace. Deconvolution usually involves convolution with an inverse filter. Seismic statistical and deterministic deconvolution course csim.
Featuring detailed datasets and examples, the book helps. Seismic deconvolution using sparse spike inversion vs. Seismic data processing free download as powerpoint presentation. Reflections on the deconvolution of land seismic data. The stepbystep demo of the full reflection seismic data processing workflow using a complete real seismic data set places itself as a very useful feature of the book. Deconvolution geomages gplatform implementation of surface consistent modules have a multifrequency mode which allows accurate amplitude estimation, equalization and enhancement within the frequency spectrum range. Eliminating the source wavelet and compensating the attenuation effect together may improve seismic resolution. Figure i1 shows a seismic section from the gulf of mexico, nearly 40 km in length. Deconvolution is a filtering process which removes a wavelet from the recorded seismic trace by reversing the process of convolution. Deconvolution is a general term for data processing methods designed to remove effects which tend to mask the primary reflected events on a seismogram. The mathematical form of the convolution of two functions, a filter ft and a timeseries xt, is. Click download or read online button to get maximum likelihood deconvolution book now. Also note that the reflections are more regular and continuous across the seismic section after wavelet processing so the deconvolution appears to have produced the desired similarity in the phase character from trace to trace.
Acquisition and processing of marine seismic data 1st. Introduction to deconvolution and image preparation. Early in our careers as geophysicists, most of us took at least one course on seismic signal analysis where we were taught that standard wiener deconvolution converts the minimumphase source wavelet in our seismic data to a wavelet with a phase spectrum that is zero and an amplitude spectrum that. It also examines theoretical principles of 2d marine seismic data processing and their practical implications. Pdf this paper presents a new approach for wavelet deconvolution. The quality of modern seismic data owes a great deal to the success of deconvolution. A conventional processing sequence almost always includes the three principal processes deconvolution, cmp stacking, and migration. Click to view article as pdf gc what is deconvolution. Book ps or gzipped version 10 mbytes zipped book gzip teaching schedule image enhancement and filtering pdf. Deconvolution is sometimes called systems identification. Techniques for deconvolving seismic data often use the statistical properties of the data themselves in designing operators to apply to the seismic traces. The subject of deconvolution is rich in theory and computational algorithms. Previous work together with new results are brought together into a self contained whole. It also discusses the levinson or toeplitz recursion and its relationship to deconvolution and the deconvolution or inverse problem as it appears in speech and seismic signal processing.
A seismic trace corresponding to an anelastic layered earth model can be sparsely represented by a structured dictionary of properly attenuated wavelets, through a nonstationary sparse deconvolution. An estimationbased approach presents an approach to the problem of seismic deconvolution. Since geophysical data obtained in such techniques is a function of both space and time. Basic theory of seismic waves traveling through the earth and how they interact with earth materials and interfaces. Unwanted convolution is an inherent problem in transferring analog information. A layeredearth seismic model is subdivided into two subsystems. Lines, volume editor society of exploration geophysicists the international society of applied geophysics. Spiking deconvolution, converts the source wavelet in the seismic data into a spike and improves the temporal resolution.
Inverse theory as well as various inversion schemes are presented on the basis of a relationship between a small perturbation to the model and its effects on the observation. This book is devoted to application of the reflection seismic method to the exploration and development of oil and gas fields. Robinsonone of the pioneers of seismic data processingis therefore a. Part of the acoustical imaging book series acim, volume 18. This reference also contains important qc analysis methods and results both for data acquisition and marine seismic data processing. Seismic data processing reflection seismology reflection. Robinson and sven treitel, covers the basic ideas and methods used in seismic processing, concentrating on the fundamentals of seismic imaging and deconvolution.
We have presented a nonstationary deconvolution algorithm based on the gabor transform that effectively corrects seismic data for source signature and attenuation. Basis pursuit inversion figures 1b and 2b show the synthetic traces, which are a result of convolution between the wavelet and the re. The earth is composed of layers of rocks with different lithology and physical properties. The book begins by introducing seismic theory, describing how to identify seismic events in terms of signals and noise, and how to convert seismic data into the language of dsp. Acquisition and processing of marine seismic data demonstrates the main principles, required equipment, and suitable selection of parameters in 2d3d marine seismic data acquisition, as well as theoretical principles of 2d marine seismic data processing and their practical implications. Deconvolution methods use the periodicity of multiples for suppression and are effective. Note that if we need to multiply two polynomials, with coefficients uk and wk, we would use exactly the formula above. Seismic deconvolution is a standard procedure in seismic data processing in which the effects of a source wavelet are removed as much as. The idea is that this will undo the effects of a previous filter, such as the earth or the recording system. This course covers practical aspects of signal theory and inverse problems with application to seismic data processing. It is the core element in speech and seismic signal processing. Deconvolution, or inverse filtering, can improve seismic data that were adversely affected by filtering, or convolution that occurs naturally as seismic energy is filtered by the earth. Featuring detailed datasets and examples, the book helps to relate theoretical background to real seismic data. Seismic data processing geos 469569 spring 2006 geos 469569 is a mix of digital filtering theory and practical applications of digital techniques to assemble and enhance images of subsurface geology.
The purpose of seismic inversion and deconvolution, part b. Pdf deconvolution of seismic data using phase change operators. In seismology we create an impulse seismic energysource and this signal after interacting with the. The stepbystep demo of the full reflection seismic data processing. For instance, all of the following can be modeled as a convolution. Sparse multichannel blind deconvolution of seismic data via. This short book is for students, professors and professionals interested in signal processing of seismic data using matlab. Processing of seismic reflection data using matlab.
The abcs of seismic exploration and processing enders a. How can subsurface structures be emphasised with an even higher degree of sharpness. The deconvolution procedure here was adopted from 1 but di erent minimizing criteria and a di erent generation. Enwenode onajite, in seismic data analysis techniques in hydrocarbon exploration, 2014. Scribd is the worlds largest social reading and publishing site. The seismic method applied to the crustal and earthquake studies is known as earthquake seismology. The abcs of seismic exploration and processing seg. The abcs of seismic exploration and processing, by enders a. Dualsensor technology is to provide the fundaments of dualsensor technology. Aug, 20 marine processing part 6 predictive deconvolution this sequence of blog posts will build up into a complete description of a 2d marine processing sequence and how it is derived. Topics to be covered include statics corrections, filtering, velocity analysis, deconvolution, stacking and migration. Hence reflection processing deals with inverse filtering i. Highresolution seismic processing by gabor deconvolution.
Since viscoelastic attenuation effects are ubiquitous in subsurface media, the seismic source wavelet rapidly evolves as the wave travels through the subsurface. The single channel timevarying deconvolution is shown equivalent to the multichannel timeinvariant deconvolution, thus a formalism and associated algorithms can handle both. Seismically, rock layers are defined by the densities and velocities with which seismic waves propagate through them. Multidimensional seismic data processing forms a major component of seismic profiling, a technique used in geophysical exploration. Multichannel weiner deconvolution of vertical seismic profiles.
Deconvolution is the process to compress composite waveform response and represent them by. Wavelet compression can be done using an inverse filter as a deconvolution operator. The use of l1 penalty in similar problems promotes sparsity of the solution rm 1. Comparison between optical and seismic deconvolution, removal of. Predictive deconvolution in seismic data processing in. A beginners guide to convolution and deconvolution david a humphreys national physical laboratory david. This chapter provides an overview of the basic theory, physics, and computational algorithms associated with deconvolution. Predictive deconvolution is the use of information from the earlier part of a seismic trace to predict and deconvolve the latter part of that trace. Robinson and sven treitcl geophysical references series no. Unprecedented improvements in inversion and deconvolution are made possible through the use of dualsensor technology. Featuring detailed datasets and examples, the book helps relate theoretical background to real seismic data and contains important qc analysis methods and results, both for data acquisition and marine seismic data processing. To understand deconvolution, first we need to examine the constituent elements of a recorded seismic trace the convolutional model. Lecture10 sesmic data processing scribd read books.
In spiking deconvolution, it is assumed that the autocorrelation of the seismic trace is the same as the autocorrelation of the source wavelet, and that the reflectivity is random and its autocorrelation is a spike. View and download powerpoint presentations on deconvolution seismic ppt. Deconvolution and inverse theory, volume 29 1st edition. Acquisition and processing of marine seismic data 1st edition. Convolution general formulae the resulting lake levels can be calculated by the following procedure, called convolution. An inverse filter, when convolved with the seismic wavelet, converts it to a spike. Typically, prestack deconvolution is aimed at improving temporal resolution by compressing the effective source wavelet contained in the seismic trace to a spike spiking deconvolution. Digital imaging and deconvolution geophysical references series. Acquisition and processing of marine seismic data ebook.
The general form of the matrix equation for a filter of length n is represented in equation 1, 6. Predictive deconvolution optimum wiener filters and predictive deconvolution in practice with a prediction lag commonly termed gap. Comparison of land seismic data with and without wavelet processing. Many system identification techniques are given in well testing books bourdet. Digital filtering theory applies to virtually any sampled information in time e. Convolution gives the overlapp of one function with another function reversed in time. On real data, gabor deconvolution is very competitive with the combination of wiener deconvolution and. In speech, the forward problem is to produce the speech waveform from knowledge of the glottis excitation waveform. Seismic inversion deconvolution download ebook pdf, epub. In addition to field acquisition parameters, seismic data processing results also depend on the techniques used in processing. In particular, the course stresses regularization methods for inverse problems that arise in the inversion of seismic data, noise elimination and reconstruction of seismic surveys.
Although deconvolution is a general term, it has some specific practical applications. Geol463 seismic method the only method giving complete picture of the whole area gives by far the best resolution among other. This book provides an advanced overview of digital signal processing dsp and its applications to exploration seismology using realworld examples. A book that specifi cally addresses the dualsensor technology writ ten by enders a. For example, a convolution can be used to model the filtering of seismic energy by the various rock layers in the earth.
This site is like a library, use search box in the widget to get ebook that you want. Pdf processing of seismic reflection data using matlab. Interior, this and other books available free online at. Many of the seismic methods in popular use today go back to the work of some of the. Maximum likelihood deconvolution download ebook pdf. The commonest way to perform deconvolution is to design a wiener filter to transform one wavelet into another wavelet in a leastsquares sense. Although deconvolution usually is applied to prestack data trace by trace, it is not uncommon to design a single deconvolution operator and apply it to all the traces on a shot record.
Eliminating the source wavelet and compensating the attenuation effect together may. We train our prediction operator on the initial part of the data where. Deconvolution techniques used in conventional processing are based on optimum wiener filtering. Three basic methods for suppressing multiples exist in published literature. Processing, inversion and reconstruction of seismic data.
Some of the undesirable effects are produced by the earth, such as absorption, reverberation, ghosting and multiple reflections, whereas others are produced by the seismic sources and receivers. Deviations from equipartitioning degrade the accuracy of the retrieved surface. Convolution and filtering seismology and geophysics. Multidimensional seismic data processing wikipedia. Appreciation is expressed to the author, to alistar r. Deconvolution of exploration seismic data springerlink. Seismic deconvolution and inversion with erratic data dai 2018.
The spiking deconvolution in seismic data processing is routinely applied to compress the source wavelet included in the seismic traces to improve temporal resolution. A step in seismic signal processing to recover high frequencies, attenuate multiples, equalize amplitudes, produce a zerophase wavelet or for other purposes that generally affect the waveshape. No processing sequence is definitive and techniques vary with time and software, however the idea is to provide a practical guide for applying seismic processing. The foundations for deconvolution and timeseries analysis were largely laid by norbert wiener of the massachusetts institute of technology in his book extrapolation, interpolation, and smoothing of stationary time series 1949. Purchase optimal seismic deconvolution 1st edition. Deconvolution is the process of filtering a signal to compensate for an undesired convolution. Question the role of seismic amplitude correction processes as pertains to following interpretation. This book 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. Marine processing part 6 predictive deconvolution this sequence of blog posts will build up into a complete description of a 2d marine processing sequence and how it is derived. An advanced learner should try to write computer code for important processing steps to allow an indepth comprehension of the practical issues and limitations.
168 868 1494 1140 60 1516 180 1479 882 484 1591 1072 1421 737 1248 4 1261 111 128 1179 570 258 419 689 1142 975 547 1110 790 497 1417 1355