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Sunday, May 17, 2020 | History

2 edition of Reflection response of a layered lossless media system and seismic deconvolution. found in the catalog.

Reflection response of a layered lossless media system and seismic deconvolution.

Jackie Shi-Chung Fung

Reflection response of a layered lossless media system and seismic deconvolution.

by Jackie Shi-Chung Fung

  • 185 Want to read
  • 5 Currently reading

Published .
Written in English


The Physical Object
Pagination94 leaves
Number of Pages94
ID Numbers
Open LibraryOL19077488M

Seismic Reflection Methods The physical process of reflection is illustrated in Figure 1, where the raypaths through successive layers are shown. There are commonly several layers beneath the earth's surface that contribute reflections to a single seismogram. Parallel Geosciences to process seismic reflection data and the program 2Dpak by Seismic Micro-Technology Inc. for seismic interpretation. Processing steps generally applied to reflection data include format conversion, trace editing, pre-processing (description of field geometry), spectral whitening or deconvolution.

Here we derive a unified representation for Green’s function retrieval by multidimensional deconvolution This Green’s function is the response of a virtual source at x. J. Sheiman, and R. Calvert, “ Equivalence of the virtual-source method and wave-field deconvolution in seismic interferometry,” Phys. Rev. E 73, ().Cited by:   We take an initial look at the dipping layer reflection problem by coming back and determining a feature of the dipping layer refraction problem that we .

This paper surveys applications of state variable technology in the areas of model ing and signal processing for problems in reflection seismology. Forward and inverse problems are described, and, wherever possible, new theo­retical problems which have been spawned by our quest to apply state variable methods to reflection seismology, are Author: J.M. Mendel. Now we speculate that the proof in this study can be applied to the estimation of the site response (Green's function between the surface and the subsurface receivers) by using a vertical array of seismographs (e.g. Izumi ). However, the issue whether the autocorrelation function of the source wavelet is the delta function or not is important, because the cross-correlation between records at two .


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Reflection response of a layered lossless media system and seismic deconvolution by Jackie Shi-Chung Fung Download PDF EPUB FB2

A layered-earth seismic model is subdivided into two subsystems. The upper subsystem can have any sequence of reflection coefficients but the lower subsystem has a sequence of reflection coefficients which are small in magnitude and have the characteristics of random white : Enders A.

Robinson. This book is written for advanced earth science students, geologists, petroleum engineers and others who want to get quickly ‘up to speed’ on the interpretation of reflection seismic data. It is a development of material given to students on the MSc course in Petroleum Geology at Aberdeen University and takes the form of a course manual rather than a systematic : William Ashcroft.

Reflection matrix method Reflectivity method is a semi-analytic method for computing synthetic seismograms in layered elastic media.

The method. This short book is for students, professors and professionals interested in signal processing of seismic data using MATLAB. The step-by-step demo of the full reflection seismic data processing. The simplest conceptual model for the response of such a lossless medium, due to normally incident plane wave excitation by an acoustic probing signal s(t), is the source replica response summation yet) = r c s(t-Yi) i=l i (3) set) * (r ci s(t-Yi)) ~ set) * e(t) i=l The index sequence i identifies and catalogues every travel-path-distinct wavelet associated with the complex of primary and multiple reflections at the Cited by: 1.

instrument called a seismograph. The team recorded seismic waves that had traveled through the subsurface of the earth.

Analysis of the recorded data revealed seismic reflections from a boundary between two underground rock layers. Further analysis of the data produced an image of the subsurface, called a seismic reflection profile. Thus the energy from a downgoing unit spike at the surface as input is divided between the wave transmitted by the layered system into the basement and the wave reflected by the layered system into the air.

This reflected wave is the observed seismic trace resulting from the unit spike by: The new model uses a reversed seismic wavelet to slide across a reflectivity function to achieve the convolution result, instead of using a reversed re-flectivity function to slide across a.

One reflection response is measured at or above the top reflector of a dissipative medium and the other is computed as if measured at or above a medium with negative dissipation.

reflection seismogram Figure Seismic waves from a surface source are reflected by subsurface layers, producing a seismogram with discrete pulses for each layer.

In this examp e, the velocity contrasts at the interfaces are assumed to be small enough that multiple reflections can be ig nored. reflection seismogram. Comparison of High-resolution and Conventional-resolution Seismic Data--Application to Cyclothems Ralph W.

Knapp 1 and Neil L. Anderson 2. 1 Kansas Geological Survey and 2 Department of Geology and Geophysics, University of Missouri-Rolla This article available as an Acrobat PDF file (5 Mb). Abstract. The interpreter who is used to conventional-resolution seismic data may be perplexed when. Due that the most amplitude interpretation is done on the migrated data volume, the stacking data, the normal-incidence reflection coefficient is.

of the sedimentary layers. The noise in these shallow marine seismic reflection data is analyzed, and a series of traditional seismic data processing techniques is applied to improve the S/N ratio and coherence. These are bandpass filtering, muting, spectrum analysis, gain, deconvolution and migration.

seismic sensors (such as geophones and seismometers onshore, or hydrophones and ocean bottom seismometers offshore) contain information on the media’s response to the seismic wave energy that traverses them. Hence the first topic of this chapter is on seismic data and their acquisition, processing, and interpretation processes.

BecauseFile Size: KB. Seismic reflection is ideal for mapping geology at depths exceeding 50 m. Deep seismic reflection surveying is the most advanced technique in geophysics today, thanks to its application on a huge scale for oil and gas exploration.

Seismic deconvolution using iterative transform-domain sparse inversion J.T. Hu, J.X. Cao, H.Z. Wang, X.J. Wang and X.D. Jiang Simultaneous separation, interpolation and tube wave suppression of vertical seismic profiling using matching pursuit based sparse beam forming.

() Maximum likelihood estimation with side information of a 1-D discrete layered medium from its noisy impulse reflection response. IEEE Transactions on Signal Processing() The exact response of a two-dimensional flat-layered medium to a probing pulse: An application to a layer stripping reconstruction by: What is Seismic Reflection.

Seismic refraction is a geophysical principle governed by Snell's Law. Used in the fields of engineering geology, geotechnical engineering and exploration geophysics, seismic refraction traverses (seismic lines) are performed using a seismograph(s) and/or geophone(s), in an array and an energy source.

This volume provides the first comprehensive description of reflection seismic signatures and processing methods in anisotropic media. It identifies the key parameters for time and depth imaging in transversely isotropic media and describes practical methodologies for estimating them from seismic data.5/5(1).

This paper presents the results of seismic interferometry by multidimensional deconvolution (MDD) applied to ambient noise surface wave observations. The data were taken from the Batholiths experiment [ Calkins et al., ], which was a passive deployment of broadband seismic sensors in British Columbia (Canada; –), with noise Cited by: 8.

The data are characterized by a strong AVO response on the coalbed target at seconds, and a weaker basement reflection at seconds.

The swaths are contaminated by spatially aliased air-wave noise, ground roll, and trapped surface modes, and contain apparent source-receiver amplitude and residual statics variations. Principles of Seismic Data Interpretation Page32 General Principles, [Seismic Facies Parameters]: Continuity: It is the criteria observed on seismic section of the waveform, which is the seismic arrival of a reflection, and can be recognized on successive traces, perhaps with small changes in arrival time from trace to trace.You can write a book review and share your experiences.

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