Pdsview software package for viewing oilfield graphics data files. An alternative method for reversing the effects of q is to explicitly apply an inverse q filter before deconvolution. Promax software was used for seismic data processing and esti. Read seismic migration with inverse q filtering, geophysical research letters on deepdyve, the largest online rental service for scholarly research with thousands of academic. Cmp processing greatly enhances the signal to noise ratio and allows coherent reflections to be visible. In seismic wave propagation, both the amplitude attenuation and the phase distortion are the exponential functions of the frequency and the travelling time. Comparing three methods for inverse q filtering carlos a. Seismic inverse q filtering is a data processing technology for enhancing the resolution of seismic images. Q is the anelastic attenuation factor or the seismic quality factor, a measure of the.
The precision of seismic reflection data does not fulfil to explore private and complex structure oilgas pools. In this paper we present a stable approach to inverse qfiltering, based on the theory of wavefield downward continuation. It employs a wave propagation reversal procedure that compensates for energy absorption and corrects wavelet distortion due to velocity dispersion. Pdf inverseq filtering is an important seismicprocessing operation often used to correct. Interactive common sourcecommon receivercmp attribute maps, cmp fold map, location map for. Different methods to apply forward and inverse q filtering can be applied. Inverse q filtering is a wave propagationreversal processing that removes these effects from recorded seismic data. Seismic imaging of subsurface geology training course. Opendtect, and the processing is performed with geoview software form. By compensating for amplitude attenuation, seismic data can provide true relativeamplitude information for amplitude inversion and. Q filter dug insight 4 user manual dug insight user manual.
The author appears to be fond of using the gabor transform. Evaluation of a number of qc attributes in arbitrary windows, as well as their derived combinations. Enhancing time resolution by stabilized inverse filter and. Searched for inverse q filtering in all fields 1 results found d. Bibliography includes bibliographical references p.
Application of inverse q filtering to land seismic data to. After inverse q filtering, seismic data will have improved quality with correct amplitudes and phases, which will result in better matching with the. Through the example of wellseismic calibration, we further illustrated that inverse qfilter phase compensation can effectively eliminate seismic wave velocity dispersion, enhance wellseismic. Comparing three methods for inverseq filtering carlos a. So we need to improve the resolution of seismic data.
Hale, 1982, inverse q filtering has never become a standard element of the seismic processing flow. Seismic inverse q filtering by yanghua wang overdrive. Pdf seismic wave dispersion effects and inverse qfilter. Seismic inverse q filtering by yanghua wang seismic inverse q filtering by yanghua wang pdf, epub ebook d0wnl0ad seismic inverse q filtering is a data processing technology for enhancing the resolution of seismic images. It employs a wave propagation reversal procedure that compensates for energy absorption and corrects wavelet distortion due.
Through the use of conventional inverse q filtering algorithm can be applied to derive a stable and efficient inverse q filtering algorithm continuous medium, and through a stable and efficient data. Nov 01, 2004 read seismic migration with inverse q filtering, geophysical research letters on deepdyve, the largest online rental service for scholarly research with thousands of academic publications available at your fingertips. Seismic inverse q filtering ebok wang yanghua wang. Deriving the inverse kernel of a given 2d convolution kernel. The phase spectrum of the inverse q filter usually is assumed to be minimumphase, which can be computed by taking the hilbert transform of the amplitude spectrum appendix b. Inverse attenuationfiltering mohamed haiba and igor b. The degree of attenuation can be approximated from q measured in seismic data, and the q can be used to design an attenuation compensation scheme to correct the effects of energy absorption and phase dispersion caused referred to as q inverse filtering wang, 2002. Improving prestack seismic data resolution based on.
By compensating for amplitude attenuation, seismic. An alternative method for reversing the effects of q is to explicitly apply an inverse qfilter before deconvolution. A principal limitation on seismic resolution is the earth attenuation, or q effect, including the energy dissipation of highfrequency wave components and the. Seismic inverse q filtering is a data processing technology for enhancing the resolution of reflection seismology images. A variablewindow gabor transform is used to generate 2d timefrequency spectrum. The interpretation of seismic data is made purely on the basis of what is observed in the final processed section. Velocity estimation, velocity field building, and velocity uncertainty implications. The suite of tools, including omega platform and ocean software development framework plugins plugins for the petrel platform, is designed for anyone needing to handle seismic data for conditioning, processing, modeling, imaging, seismic interpretation, and inversion or avo modeling. Bandpass filter, inverse q, and radon transform are applied to the migrated prestack data, over the time range of 06000 ms. Although practical methods for inverse qfiltering have existed for many years e.
Based on the expression of amplitude attenuation and phase velocity dispersion proposed by futterman, and considering the wellseismic matching, we derived the expression of seismic wave. Summary of crewes software for q modelling and analysis. The radon transform yields a better seismic image than the bandpass and inverse q filters, since it removes the noise and the multiples from the data quite efficiently. In the forward q filter, each method is characterized by a particular accuracy and computational. The process described here is zerophase frequency filtering, since it does not modify the phase spectrum of the input trace, but merely bandlimits its amplitude spectrum. This is basically a generalization of the question deriving the inverse filter of image convolution kernel. Inverse q filtering is an important seismic processing operation often used to correct for attenuation and dispersion effects and increase the resolution of reflection records. Seismic inverseq filtering can be regarded as a reversal procedure of wave propagation. Robinson pointed out that the algorithm of inverseq filtering is similar to seismic deconvolution. Velocity tomography of weakness zones in the kevitsa nicupge mine, northern finland. In this paper we present a stable approach to inverse q filtering, based on the theory of wavefield downward continuation. Pdf estimation of q and inverse q filtering for prestack. The effects of anelastic attenuation are present in all seismic data and range from subtle to.
When enabled, the q filter will be applied only below the sea floor, using the timereferencing corrections described in ganyuan. Reflections on the deconvolution of land seismic data. It employs a wave propagation reversal procedure that compensates for energy absorption. Inverse q filter for seismic resolution enhancement seg library. Inverse qfilter for seismic resolution enhancement spiral. For each individual constant q layer, the seismic wavefield recorded at the surface is first extrapolated down to the top of the current layer and a. A source signature was modelled to pass through the various processing stage, the resulting output converted to zerophase and the operator applied to the seismic data. A stable and efficient approach of inverse q filtering. An inverse qfiltering procedure attempts to remove the qeffect to produce highresolution seismic data.
This can then be applied to any trace as an inverse q filter. Viewing software information help viewing system information help checking for updates help disabling automatic update. When a seismic waves or energy propagate through the earth, they are. Q is the anelastic attenuation factor or the seismic quality factor, a measure of the energy loss as the seismic wave moves. Realtime land seismic qc and infield processing radexpro. Application of inverse q filtering methods in the near. It is implemented in a layered manner, assuming a layeredearth q model. Application of inverse q filtering to land seismic data to improve signal where there is no vsp data control r. Inverse q filtering is an important seismic processing operation often used to correct for attenuation and dispersion effects and increase the. The forward and inverse transforms are required, since some operations are computed on the frequencydomain signals, and the inverse transform is used to compute a discrete timedomain signal.
There are several methods used during processing to enhance the frequency content of the seismic data. It is based on the inverse filter design by bob mcclure. Seismic inverse q filtering by yanghua wang seismic inverse q filtering by yanghua wang pdf, epub ebook d0wnl0ad seismic inverse q filtering is a data processing technology for enhancing the. In real data processing, we often need to redo the. Unfortunately, there is no reliable way to estimate the attenuation factor q directly from seismic data. Estimation of q factors from reflection seismic data for a. Cmp processing greatly enhances the signal to noise ratio. It employs a wave propagation reversal procedure that compensates for energy. An inverse qfilter neither suppresses nor amplifies the data components with high frequencies at late times. Threedimensional sparse seismic deconvolution based on. Inverse q filtering is an important dataprocessing procedure broadly used for enhancing.
Q filter dug insight user manual downunder geosolutions. Compensating for attenuation by inverse q filtering. This filter can be used to extend the natural period of a sensor. Q estimation from reflection seismic data for hydrocarbon. Seismic inverse q filtering is a data processing technology for enhancing the.
Reflections on the deconvolution of land seismic data cseg. Stabilized inverse q filtering is a data processing technology for enhancing the resolution of reflection seismology images where the stability of the method used is considered. Jan 26, 2009 seismic inverse q filtering is a data processing technology for enhancing the resolution of seismic images. Ideally, the process of inverse q filtering improves the. The averageq model estimated directly from reflection seismic data is reliable. The q filter applies or removes corrections for dispersion and attenuation. Seismic inverse q filtering yanghua wang by therese kibler. An inverse qfilter algorithm based on stable wavefield. Starting with the application of the traditional timevariant spectral whitening, which might distort the seismic amplitudes, one might use inverse q filtering, spectral decompositionbased methods and thinbed reflectivity inversion. Some seismic instantaneous bandwidth attribute applications. Deriving the inverse filter of image convolution kernel. Starting with the application of the traditional timevariant spectral whitening, which might distort the. Apr 20, 20 seismic inverse q filtering yanghua wang. The radon transform yields a better seismic image than the bandpass and.
Furthermore, we extend a stable and effective poststack inverse q filtering method to prestack data which uses wave field continuation along the ray path to compensate for attenuation in prestack common shot pp and pswaves. Conventional inverse qfiltering boosts ambient noise and degrades the sn ratio of the output section. Seismic inverse qfiltering,, is a process targeted at inverting phase and amplitude distortions of the propagating and reflected acoustic waves. The effectiveness of stable inverse q filtering to land seismic. The degree of attenuation can be approximated from q measured in seismic data, and the q can be used to design an attenuation. Frequencydomain filtering involves multiplying the amplitude spectrum of the input seismic trace by that of the filter operator.
Xia, proper timereferencing for prestack q estimation and compensation, eage. The seismic trace is the combination of both signal and noise, the signal wanted data is the representation of the geologic feature but the presence of noise shows it different from real. Mar 14, 2009 in this paper, we present a method to estimate the swave q values from prestack converted wave gathers. Seismic migration with inverse q filtering, geophysical. Although practical methods for inverse q filtering have existed for many years e. Attenuation and dispersion can be quantified by seismic quality factor q. Why 3d seismic data are an asset for exploration and mine planning. At best, inverse q filtering can be applied to post or prestack data appendix b.
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