Through the example of wellseismic calibration, we further illustrated that inverse qfilter phase compensation can effectively eliminate seismic wave velocity dispersion, enhance wellseismic. Inverse attenuationfiltering mohamed haiba and igor b. 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. 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. Realtime land seismic qc and infield processing radexpro.
Pdf seismic wave dispersion effects and inverse qfilter. The interpretation of seismic data is made purely on the basis of what is observed in the final processed section. By compensating for amplitude attenuation, seismic data can provide true relativeamplitude information for amplitude inversion and. Xia, proper timereferencing for prestack q estimation and compensation, eage. 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. A variablewindow gabor transform is used to generate 2d timefrequency spectrum. When a seismic waves or energy propagate through the earth, they are. In seismic wave propagation, both the amplitude attenuation and the phase distortion are the exponential functions of the frequency and the travelling time. The degree of attenuation can be approximated from q measured in seismic data, and the q can be used to design an attenuation. There are several methods used during processing to enhance the frequency content of the seismic data. Application of inverse q filtering methods in the near.
A principal limitation on seismic resolution is the earth attenuation, or q effect, including the energy dissipation of highfrequency wave components and the. Why 3d seismic data are an asset for exploration and mine planning. Velocity estimation, velocity field building, and velocity uncertainty implications. At best, inverse q filtering can be applied to post or prestack data appendix b. Seismic inverse q filtering yanghua wang by therese kibler. Although practical methods for inverse qfiltering have existed for many years e. 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 the forward q filter, each method is characterized by a particular accuracy and computational. Seismic inverse q filtering is a data processing technology for enhancing the resolution of reflection seismology images.
Seismic migration with inverse q filtering, geophysical. Evaluation of a number of qc attributes in arbitrary windows, as well as their derived combinations. 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. Seismic inverse q filtering is a data processing technology for enhancing the resolution of seismic images. Unfortunately, there is no reliable way to estimate the attenuation factor q directly from seismic data. 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. This filter can be used to extend the natural period of a sensor. This is basically a generalization of the question deriving the inverse filter of image convolution kernel.
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. Promax software was used for seismic data processing and esti. Interactive common sourcecommon receivercmp attribute maps, cmp fold map, location map for. Reflections on the deconvolution of land seismic data cseg. 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. 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. 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. After inverse q filtering, seismic data will have improved quality with correct amplitudes and phases, which will result in better matching with the. Pdf inverseq filtering is an important seismicprocessing operation often used to correct. The author appears to be fond of using the gabor transform. Viewing software information help viewing system information help checking for updates help disabling automatic update. Deriving the inverse filter of image convolution kernel.
Conventional inverse qfiltering boosts ambient noise and degrades the sn ratio of the output section. Seismic inverse q filtering by yanghua wang overdrive. Q is the anelastic attenuation factor or the seismic quality factor, a measure of the. Application of inverse q filtering to land seismic data to improve signal where there is no vsp data control r. Threedimensional sparse seismic deconvolution based on. Velocity tomography of weakness zones in the kevitsa nicupge mine, northern finland.
It employs a wave propagation reversal procedure that compensates for energy absorption. An alternative method for reversing the effects of q is to explicitly apply an inverse qfilter before deconvolution. An inverse qfiltering procedure attempts to remove the qeffect to produce highresolution seismic data. A stable and efficient approach of inverse q filtering. The averageq model estimated directly from reflection seismic data is reliable. Inverse q filtering is an important seismic processing operation often used to correct for attenuation and dispersion effects and increase the. Seismic inverse qfiltering,, is a process targeted at inverting phase and amplitude distortions of the propagating and reflected acoustic waves. 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. Different methods to apply forward and inverse q filtering can be applied.
Seismic inverseq filtering can be regarded as a reversal procedure of wave propagation. 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 q filtering have existed for many years e. The effectiveness of stable inverse q filtering to land seismic. Estimation of q factors from reflection seismic data for a. So we need to improve the resolution of seismic data. 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. Pdsview software package for viewing oilfield graphics data files. Comparing three methods for inverseq filtering carlos a. Extraction of wavelet from seismic using a well log to determine the phase. Inverse q filter for seismic resolution enhancement seg library. In this paper we present a stable approach to inverse qfiltering, based on the theory of wavefield downward continuation. Q is the anelastic attenuation factor or the seismic quality factor, a measure of the energy loss as the seismic wave moves. Summary of crewes software for q modelling and analysis.
It employs a wave propagation reversal procedure that compensates for energy. Opendtect, and the processing is performed with geoview software form. Deriving the inverse kernel of a given 2d convolution kernel. Q estimation from reflection seismic data for hydrocarbon. The q filter applies or removes corrections for dispersion and attenuation. 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. Comparing three methods for inverse q filtering carlos a. Ideally, the process of inverse q filtering improves the. 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. Q filter dug insight 4 user manual dug insight user manual. Pdf estimation of q and inverse q filtering for prestack.
Improving prestack seismic data resolution based on. Robinson pointed out that the algorithm of inverseq filtering is similar to seismic deconvolution. Reflections on the deconvolution of land seismic data. The radon transform yields a better seismic image than the bandpass and. Starting with the application of the traditional timevariant spectral whitening, which might distort the. Inverse qfilter for seismic resolution enhancement spiral. 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. Compensating for attenuation by inverse q filtering. Searched for inverse q filtering in all fields 1 results found d.
Seismic imaging of subsurface geology training course. Inverse q filtering is a wave propagationreversal processing that removes these effects from recorded seismic data. In real data processing, we often need to redo the. It employs a wave propagation reversal procedure that compensates for energy absorption and corrects wavelet distortion due to velocity dispersion. Frequencydomain filtering involves multiplying the amplitude spectrum of the input seismic trace by that of the filter operator. It is implemented in a layered manner, assuming a layeredearth q model. Cmp processing greatly enhances the signal to noise ratio and allows coherent reflections to be visible. Enhancing time resolution by stabilized inverse filter and. 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. By compensating for amplitude attenuation, seismic. The effects of anelastic attenuation are present in all seismic data and range from subtle to. It is based on the inverse filter design by bob mcclure. 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. Apr 20, 20 seismic inverse q filtering yanghua wang.
An inverse qfilter algorithm based on stable wavefield. An inverse qfilter neither suppresses nor amplifies the data components with high frequencies at late times. Seismic inverse q filtering ebok wang yanghua wang. Jan 26, 2009 seismic inverse q filtering is a data processing technology for enhancing the resolution of seismic images. Mar 14, 2009 in this paper, we present a method to estimate the swave q values from prestack converted wave gathers. Bibliography includes bibliographical references p. Read seismic migration with inverse q filtering, geophysical research letters on deepdyve, the largest online rental service for scholarly research with thousands of academic. Attenuation and dispersion can be quantified by seismic quality factor q. Some seismic instantaneous bandwidth attribute applications. Application of inverse q filtering to land seismic data to. An alternative method for reversing the effects of q is to explicitly apply an inverse q filter before deconvolution.
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. It employs a wave propagation reversal procedure that compensates for energy absorption and corrects wavelet distortion due. The seismic events in the q filtered image look sharper, with a better lateral continuity than those in the former section and are reliable due to the trace by trace approach of the applied inverse q filter. Inverse q filtering is an important dataprocessing procedure broadly used for enhancing. This can then be applied to any trace as an inverse q filter. Cmp processing greatly enhances the signal to noise ratio. Q filter dug insight user manual downunder geosolutions. In this paper we present a stable approach to inverse q filtering, based on the theory of wavefield downward continuation. Seismic inverse q filtering is a data processing technology for enhancing the. When enabled, the q filter will be applied only below the sea floor, using the timereferencing corrections described in ganyuan. The precision of seismic reflection data does not fulfil to explore private and complex structure oilgas pools. Hale, 1982, inverse q filtering has never become a standard element of the seismic processing flow.
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