Geoteric fully utilises your mountains of seismic data and incorporates your geological understanding, to help you make the right decisions at every stage of interpretation. Seisware continues to be the seismic interpretation choice at encana. The standard frequency decomposition module uses bandpass filters to carry out decomposition with properties similar to either a fast fourier transform fft or to a constant wavelet transform. Any attribute, horizon or grid may be viewed as an overlay on the existing structural surface. Over the years, spectral decomposition of seismic data has progressed from tool for stratigraphy analysis to direct hydrocarbon indicator dhi technique. Seismic attribute analysis for reservoir characterization. Seismic geometric decomposition software petrel plugin. Spectral decomposition attribute that returns the amplitude spectrum fft or. Color blending tools, combined with spectral decomposition, are available to. Spectral decomposition is a seismic interpretation technique that enables interpreters to decompose the broadband of seismic signals into constituent frequencies. Interpretational applications of spectral decomposition in reservoir characterization, the leading edge, march 1999, 353 360. Optionally opendtect can be extended with closed source commercial plugins. Given a 3d seismic volume, use spectral decomposition to create a tuning cube and create data slices of the frequencies a sand channel in the blackfoot seismic dataset. This is particularly useful for isolating frequencydependent changes in the signal, such as stratigraphic thinning and fluid effects.
Opendtect is a complete open source seismic interpretation package, which is widely used in the industry and that can be downloaded at no cost from opendtect. Application of spectral decomposition and seismic attributes. When applied to seismic data, color blending or corendering can highlight geologic and geophysical features, thereby improving interpretability. We then use commercial software to address challenging seismic data from south texas to reveal some features of the reservoir that are hidden. Castagna1 abstract this paper presents a new methodology for computing a timefrequency map for nonstationary signals using the continuouswavelet transform cwt. The generalized spectral decomposition attribute helps the interpreter understand the contribution of individual frequencies to the makeup of the input seismic signal. Spectral decomposition provides a means to use seismic data and the discrete fourier transform to image and map temporal bed thickness and geologic discontinuities in 3d seismic surveys. Spectral decomposition can be a big help in viewing details in your seismic adding to the eye frequency information to the standard amplitude data example of companysoftware propagating this is geoteric what they call ognitive interpretation gotta give it a name. There are multiple applications of spectral decomposition for geophysical data analysis and processing such as the multiscale parameterization of inverse geophysical problems chiao and liang, 2003 and hydrocarbon indication by seismic section analysis at different frequency bands castagna et al.
Here are some of the papers that we published on spectral decomposition. In seismic exploration, spectral decomposition refers to any method that produces a continuous timefrequency analysis of a seismic trace. Petrel multitrace attributes is used to enhance the fault signature of the data by calculating variance or chaos or by filtering structural smoothing with the edge enhancement option. Steven jensen, president 71964123 8750 skylark street littleton, co 80126.
Seismic interpretation blog from geoteric spectral decomposition. Opendtect is an open source seismic interpretation software system for processing, visualizing and interpreting multivolume seismic data, and for fasttrack development of innovative interpretation tools. There is reasonable match between gr and sweetness up to. Seismic geometric decomposition software the seismic geometric decomposition plugin for petrel is a tool designed to generate a series of high definition seismic volumes that can be used to improve the delineation of the fault system, the external and internal reservoir architecture and to recognize reflectivity patterns for geomorphology analysis. Amocos unix seismic processing team for providing the technical framework for algorithm development and testing. Ideal for analyzing channels, thin beds, and other subsurface. Spectral shaping of seismic data using seismic spectral blueing ssb enhances resolution without boosting noise to an unacceptable level. Comparison of spectral decomposition methods semantic. Application of seismic facies classification, spectral. Spectral decomposition on structure with well tops and curves. Spectral decomposition technique can be used to detect subtle faults, especially related with graben shifts or transfer zones, in the gulf of thailand. This allows the interpreter to see amplitude and phase tuned to specific wavelengths, just as a radio can pick out a single station, or a prism a single colour.
Spectral decomposition paleoscan core is the new generation of 2d3d seismic interpretation platform. The generalized spectral decomposition attribute helps the interpreter understand the contribution of individual frequencies to the makeup of the input seismic. Spectral decomposition and spectral balancing of seismic data, published in seg, the leading edge. This paper discusses the seismic attribute and reservoir characterization analysis for the data from f3 block in the dutch sector of the north sea. Spectral decomposition has been used for a variety of applications including layer thickness determination partyka et al, 1999. Geoteric software specialises in transferring your knowledge and experience into the data to deliver the most comprehensive understanding. Amocos seismic coherency and decomposition team for their ongoing development and calibration of spectral methods. Frequency decomposition of seismic data by gaynor paton.
This email address is being protected from spambots. Our service offerings deliver ground breaking insights from your data providing unrivalled subsurface understanding. Spectral decomposition of time versus depthmigrated data. Frequency decomposition and rgb blending are commonly used to aid seismic interpretation. For example, a higher frequency will result in a shorter wavelength and detect a thinner channel or part. While conventional interpretation techniques require constant attention to the source wavelet and its associated tuningthickness and dominant frequency, spectral decomposition facilitates the process. The real part of the sum over all frequencies, f, of all these voice components reconstructs the original trace. The amplitude spectrum of the data itself is not enough to address the real limits of resolution of the data, and a more detailed analysis, using spectral. Use of spectral decomposition technique for delineation of channels. Predicting stratigraphy with spectral decomposition. Such interference plagues traditional seismic methods and hinders the extraction and characterization of subsurface information. We would be pleased to give you a free trial of our software so you can see the value of our tools first hand. Over the years, spectral decomposition of seismic data has progressed from tool for stratigraphy analysis to. Spectral decomposition output of 30 hz amplitude volume highlights sand associated with meander belts.
Spectral decomposition can be performed on a multitude of attributes frequency, dip, azimuth, though the frequency is the most common. Seisware won the contract in july 2004 and continues to be the seismic interpretation choice at encana. Spectral decomposition is a nonunique process for which various techniques exist and newer modified techniques are being discovered. The amplitude map is critical as a base to determine if spectral decomposition is adding to your interpretation. Enhancing seismic insight by spectral decomposition a large collection of wavelets covering the full ranges of time, frequency, scale, and phase index to represent each component of a signal, and so can enhance the spectral resolution x. Itincludesall the necessary tools to run a comprehensive workflow, from data loading to generation of interpreted objectsin a userfriendly environment,offering rapid data screening and cross navigation.
The advanced interpretation module builds a chronostratigraphic framework to transform seismic data in the wheeler domain, to delineate stratigraphic sequences, automatically extract geobodies and build interactively a watertight model for geomodeling applications. Over the years, spectral decomposition of seismic data has progressed from being a tool for stratigraphic analysis to helping as a direct hydrocarbon indicator dhi. A successful spectral decomposition depends on its. Because the voice components are bandpassfiltered versions of the original seismic data, the application to. Seismic interpretation software seisware open inventor. Use of spectral decomposition technique for delineation of. Rgb section of the we dge and corresponding wave field. Castagna, university of houston, and shengjie sun, fusion geophysical discuss a number of different methods for spectral decomposition before suggesting some improvements possible with their own variation of matching pursuit decomposition. Frequency decomposition of seismic data by gaynor paton frequency decomposition and rgb blending are commonly used to aid seismic interpretation. The technology started as a simple band filtering technique that shows amplitude spectrum at user. Spectral decomposition is a frequency attribute that converts time into the frequency domain by fourier analysis. Spectral decomposition or timefrequency analysis also.
Recent developments in spectral decomposition of seismic data. Encana was tasked with migrating geoscientists to a pc based software platform. And displaying the spectral decomposition attribute on petrel software 2009. From seismic attributes, spectral decomposition and velocity modelling in the explorationist module, to analysing and processing image gathers with image gather processing, insight has the power to take your interpretation to the next level. Next, the thickness information is estimated from the spectral decomposition. So many challengesbut so many choices, published in aapg explorer.
Spectral decomposition unravels the seismic signal into its constituent frequencies. Spectral decomposition of seismic data with continuous. Gcspectral decomposition for seismic stratigraphic. Seismic spectral decomposition is a powerful analysis tool used to characterize the frequency content of seismic data. Characterizing shallow seismic anomalies, published in aapg explorer. Application of wavelet spectral decomposition for geological interpretation of seismic data 234 fig. Spectral decomposition attributes, designed to highlight geologic characteristics that respond differently to different frequency ranges of the seismic signal. Spectral decomposition of seismic data with continuouswavelet transform satish sinha1, partha s.
Spectral decomposition or timefrequency analysis also timefrequency decomposition is a method employed to aid in the interpretation of seismic data. Please contact us today to see how we can help improve your seismic processing results. Our seismic interpretation software, dug insight is a fullfeatured 2d3dprestack visualisation and interpretation package. Gcspectral decomposition for seismic stratigraphic patterns. The color blending application is a 3d visualization tool that corenders three separate attribute volumes e. Spectral decomposition of seismic data helps in the analysis of subtle stratigraphic plays and fractured reservoirs partyka et al. Spectral decomposition is a nonunique process for which various techniques exists and newer modified techniques are being discovered. Dug insight takes a fresh approach to seismic interpretation software, with powerful features integrated into an easytouse interface.
Interpretational applications of spectral decomposition. Try our seismic processing software for seisspace and. Our condition reveal interpret classifyai approach complements the human visual cognitive process that is so essential to seismic. Benefits of ssb ssb sections are usually easier to interpret and reveal more information about the subsurface.
Thus a frequency spectrum is output for each time sample of the seismic trace. Interactively map geometry information from ascii files or the promax database. Spectral decomposition has been successfully applied in seismic exploration for stratigraphic mapping partyka et al. Nwse faults may help compartmentalized the reservoir. John castagnas company, gives dataseismic the possibility to offer a full suite of proprietary tools in seismic analysis to help you make the right decision. The amplitude component excels at quantifying thickness variability and detecting lateral discontinuities while the phase component detects lateral discontinuities. Spectral decomposition of seismic data with continuous wavelet transform. If you believe that amplitude is a meaningful indicator for reservoir presence, then spectral decomposition is a new step in the interpretation workflow. Opendtect contains all tools, needed for a 2d andor 3d seismic interpretation. Predicting stratigraphy with spectral decomposition matt hall and eric trouillot, landmark graphics, calgary, canada introduction interpretation of subsurface geology is greatly enhanced by 3d seismic data, and this accounts for its ubiquity in todays search for hydrocarbons. Though overprinted by the wavelet in the recorded seismic data, thin beds still possess. Color blending tools, combined with spectral decomposition, are available to characterize sedimentary deposits as well as structural event. I s corner c by e g spectral decomposition and spectral. Wavelet analysis for spectral inversion of seismic.
Attributes for fluvial channel interpretation seg wiki. Instantaneous amplitude attribute is computed which confirms the bright spot due to the presence of gas in the reservoir. Mistie corrected 2d and 3d seismic with structural horizon and wells. Stratigraphic detail from wavelet based spectral imaging.
Spectral decompositions analytical value, published in aapg explorer. Options for spectral analysis, trace headers, first break picking, promax tables, and more. Petrel multitrace attributes schlumberger software. Spectral decomposition has been employed in seismic interpretation for more than two decades, evolving from a niche technique to a commonly used approach due to its advantages in channel delineation, gas reservoir detection and thinbed interpretation. Amplitude anomalies are aligned along both set of faults. Many spectral decomposition techniques have been developed, each with their own advantages and. Request pdf seismic spectral decomposition applications in.
Spectral decomposition unravels the seismic signal into its constituent frequencies, which allows the user to see phase and amplitude tuned to specific wavelengths. Spectral decomposition our geoscience specialists share their insights into 3d seismic interpretation. The concept behind spectral decomposition is that a reflection from a thin bed has a characteristic expression in the frequency domain that indicates temporal. Accurate frequency estimation is beneficial for seismic. The spectral decomposition process is best described in a paper by partyka et al. Pdf spectral decomposition of seismic data with continuous. Spectral decomposition, and spectral inversion, a collaborative effort between myself, michael bush, paul garossino and paul gutowski, which deals with some of the directions weve taken the spectral decomposition technology over the last five or six years. Seismic interpretation blog from geoteric 3d seismic. Bed thicknesses will cause differences in amplitude response at different frequencies, which helps highlight channels in seismic stratigraphic analysis. Recent developments in spectral decomposition of seismic.
Spectral decomposition plugin for petrel 20 now available. Produce industry leading data and image quality, sharper and clearer images. Suggested reading frequencytime decomposition of seismic data using waveletbased methods by chakraborty and okaya geophysics, 1995. Assessing the influence of untrackable horizons on impedance inversion, published in aapg explorer. Essentially, the amplitude and phase spectra are computed and plotted for a window over the zone of interest to create a tuning cube. Seismic interpretation 1 spectral enhancement 1 spectral expression 1 structural interpretation 1 support info 1. Application of wavelet spectral decomposition for geological. Seismic spectral decomposition via basis pursuit jiajun.
A tuning cube can be created using a trace maths script and slices extracted from this cube. Spectral decomposition in seismic consists of 2 steps. Opendtect is an open source seismic interpretation software system for processing. Spectral decomposition spectral decomposition is an innovative technique relying on the transformation of each individual 1d seismic trace, into a 2d timefrequency representation using short time fourrier transform stft or continuous wavelet transform cwt. These directions and followup technologies allow us to very quickly use seismic to. Spectral decomposition overview process name specdecomp this tool images and maps temporal bed thickness and geologic discontinuities over 3d seismic surveys using the discrete fourier transform to image and map temporal bed thickness and geologic discontinuities. Filtered seismic section 2535 hz more effectively resolve nwse faults as compared to full spectrum seismic. Spectral decomposition can be used to qc seismic data, evaluate the signaltonoise, resolution, and fault detectability at each frequency, thereby determining the true bandwidth of the data. Basis pursuit for seismic spectral decomposition jiajun han and brian russell hampsonrussell limited partnership, cgg geo software, canada summary spectral decomposition is a powerful analysis tool used to identify the frequency content of seismic data. The concept behind spectral decomposition is that a reflection from a thin bed has a characteristic expression in the frequency domain that indicates temporal bed thickness. A dip steered enhancement designed to enhance seismic quality, eliminating noise by applying a 3d dip smoothing filter. Spectral decomposition or timefrequency decomposition is an effective method for seismic interpretation that gives better definition to determine stratigraphic and structural features partyka et.
Image and map temporal bed thickness and geologic discontinuities over 3d seismic surveys. Geophysics was one of four products we tested as part of the rfp. Spectral decomposition is used for imaging and mapping temporal bed. This paper presents a case study of spectral decomposition of seismic data.
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