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Second EAGE/SBGf Workshop 2014
- Conference date: 04 Nov 2014 - 05 Nov 2014
- Location: Rio de Janeiro, Brazil
- ISBN: 978-94-6282-026-5
- Published: 04 November 2014
1 - 20 of 31 results
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Short Class - Bandwith Limitations in Seismic Acquisition, Processing and Interpretation
More LessOver the last few years we observed an increasing interest in improving the frequency content of seismic data. Although technological proposals to improve the bandwidth of seismic data ca be found as far as the middle of last century (Van Melle and Weatherburn, 1953; Haggerty, 1956; Ray, 1982; Berni, 1984), the “Low-frequency seismic” special section in the January 2007 issue of The Leading Edge may be a good milestone for a major technological shift towards broadband data. While most of the works presented at this EAGE-SBGf workshop on “Broadband Seismic” focuses on the effects of the source and receiver ghosts in the bandwidth of seismic data, there are many other important geophysical causes for the degradation of the seismic signal. This short class will first address some of the main causes for bandwidth limitations and how they affect the seismic signal. Next, some of the recently developed solutions, both in data acquisition and processing, will be described and analyzed. The final section discusses the implications that broader frequency content in the data brings to interpretation, inversion and reservoir characterization.
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Broadband Seismic - Has It Delivered on Its Promise?
By A.D. PearsonMuch has been said about broadband seismic. The initial excitement has passed, and now we should take time to reflect on what we have learned, what we have gained from the new technologies, and whether our new data have lived up to our expectations. First, I will present a brief history of broadband. What did “broadband seismic” mean in 2005, or in 2010, and what does it mean now?
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From Variable-depth Streamer Survey Design to Real Seismic Data - Martin Linge Case Study
Authors C. Sagary, J. Morante-Gout, G. Mikkelsen and P. DervieuxThe acquisition parameters of a variable-depth streamer (VDS) survey over Martin Linge field offshore Norway were optimized by modelling. Its benefits were estimated by comparison of signal amplitude spectra on synthetic data for both the legacy flat streamer and a new VDS survey. As soon as several sail lines of the VDS survey had been acquired and processed up to 3D migration, new seismic fast-track data were compared to legacy flat streamer data. Real legacy and new data were also compared to the modelling results. The synthetic amplitude spectra explained quite well the improvement in signal-to-noise ratio of the VDS data up to 30 Hz. However, the better signal-to-noise of VDS data in the 30-40 Hz frequency range was not predicted. A new method has thus been developed to predict the final signal-to-noise ratio as a function of the acquisition parameters by adding real ambient noise in the modelling. This new method gave a more accurate prediction of the signal-to-noise ratio of the final migrated sections with a better fit between real and synthetic data.
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Computation of Signal Strength at Low Frequencies and S/N Ratio Estimates for Broadband Marine Acquired Streamer Data
By D.H. CarlsonVarious marine acquisition geometries designed for de-ghosting are evaluated with regard to recording signal strength and S/N ratios. The different de-ghosting methods used currently in exploration are not discussed. However, by examining the ghost operators with different acquisition geometries , we can estimate the recorded signal strength before de-ghosting and we can estimate changes in S/N ratios resulting from a de-ghosting method.
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Application of the Adaptive Vibroseis for Both Low and High Frequencies Enhancement
Authors A.P. Zhukov and I.P. KorotkovIn this work we present principles and results of the Adaptive Vibroseis Technology (AviSeis) application in standard linear, adaptive sweep and low frequency regimes. Field experiment was performed in complex geology region for deep target reservoir. Standard vibrators and geophones were used in the low frequency sweeping mode. Resulting images show better resolution, reflectivity contrast and deeper imaging due to low and high frequencies enhancement.
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Broadband Seismic – Opportunities and Challenges
By M.C. TanisBroadband or extended bandwidth seismic over the last few years has grown to become nearly the standard for marine acquisition method while the acquisition and processing of ultra-low and high frequencies still remain a challenge for both marine and land. These seismic broadband solutions range from acquisition based approaches using various purpose built marine streamer configurations to processing based solutions that aim to remove the effects of the ghosts from the conventional seismic data.
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3D Deghosting and Application for Full-azimuth and Ultra-long Offset Marine Data
More LessRemoving ghost energy in marine streamer data is important for both seismic processing and interpretation. Full azimuth data have abundant azimuths, which require more robust 3D deghosting techniques. The coarse and irregular crossline sampling in full azimuth (FAZ) seismic data creates challenges for 3D deghosting. A fully data-driven 3D deghosting technique using a progressive sparse Tau-P inversion has proven to be able to overcome the sparse sampling in the crossline direction and to be effective in attenuating the receiver ghost in a 3D mode. We demonstrate the benefits of 3D deghosting using a staggered FAZ and ultra-long offset data set from Keathley Canyon, Gulf of Mexico. Using the data-driven 3D deghosting method, we observed less residual ghost energy in shot gathers from a side-gun when compared with the 2D pre-migration bootstrap deghosting method. The 3D deghosting method subsequently improved the images of steeply-dipping top of salt (TOS) and provided more coherent common imaging gathers.
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Evaluation of a Marine Broadband Slanted Source
Authors S.E. Denny, R. Telling, S. Grion and G. WilliamsResults are presented on the processing of a 2D test-line acquired with a standard versus a broadband source. To control for potential differences due to weather, water velocity and cable feathering, the data for both experimental source and reference source were acquired along the same sail line with each source fired alternately. The datasets were processed using essentially identical pre-stack time migration sequences and an assessment made of relative imaging quality and signal-to-noise ratio on stacks. It is found that despite efforts aimed at achieving comparable bandwidth from both sources, there is more noise present in the final section of the line acquired with standard source. This noise is visible in the spectrum centered on the standard source’s ghost notch at 107 Hz, and takes the form of a reduction in the spatial coherence of the image.
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Deghosting via Warping
Authors E. Filpo Ferreira da Silva and G. Rodrigues de LimaWe present a new method to remove ghost signal from conventional streamer marine data. The method assumes that each ghost component of the recorded signal is a deformed version of the desired signal, which is free of ghost recorded energy. The free of ghost signal can be transformed into each ghost component by applying a shift in time and a proper amplitude scaling, forming an equation system where it is the unknown vector. The transformations involved in the solution of this system, are carried out by a warping algorithm. The construction of warping operators comprises the computation of traveltime and amplitude for each reflected wave. We applied the method in a deep-water 2D line from the pre-salt area in Brazil. In this case, we use a NMO approximation for time-shift calculation and do not apply any amplitude scaling. The results are compared with those obtained without the deghosting and show considerable gains in the bandwidth, promoting outstanding benefits in the imaging and inversion.
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The Impact of Phase Characteristics on Seismic Data Resolution
Authors H.B. Jedrzejowska-Tyczkowska and K. ZiemianinIdea of seismic data resolution, proposed by author has been tested on real and synthetic data. Seismic data was gatehered in north of Poland and constituted main information to create synthetic model. The correctness of synthetic model was confirmed by correlation with acoustic profiling curve. All procedures for improvement of resoultion were tested on field data as well as on modeled data. The results encourage to continue further investigation on meaning of phase characteristics in this domain.
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Vector-acoustic Reverse-time Migration of Volve OBC Dataset without Up/Down Decomposed Wavefields
Authors M. Ravasi, I. Vasconcelos, A. Curtis and A. KritskiWavefield separation based on the combination of pressure and particle velocity data is generally used to extract the up- and down-going components from multi-component seabed or towed marine seismic recordings prior to imaging. By carefully combining vector-acoustic (VA) data in the extrapolation of shot gathers in reverse-time migration (RTM) we show that wavefield separation (deghosting) can be performed ‘on-the-fly’ at no extra cost. We call such a strategy VARTM and we successfully apply it to a North Sea OBC field dataset, acquired in the Volve field. We also discuss additional advantages of VARTM over standard RTM of up-going only waves such as improved handling of directivity information contained in the acquired vector-acoustic data for clearer shallow sections and imaging of the down-going component of the recorded field (mirror VARTM) without the need for an additional finite difference modelling.
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A Pragmatic Approach to Seismic Signature Inversion
More LessWe adopt a five-step statistical-deterministic approach to deconvolve the seismic signature. The process compensates for phase and amplitude distortions related to the source signature, the recording devices, and source and receiver ghosts. First we estimate the recorded seismic pulse. Then, an inversion procedure estimates two sets of ghost related parameters (sea surface reflectivity, depth and depth uncertainty), one set for the source and one for the receiver. In the process, a residual pulse is estimated as well. The third step comprises a ω-k domain deconvolution of the ghosts, which partially accounts for incidence/emergence angles. In the following step an inverse filter of the residual pulse of step 2 is applied. The final step consists of predictive deconvolution with unitary prediction length. This approach was applied to conventional streamer data from Santos Basin. The inversion process for estimation of the ghost parameters gave similar results for different sets of initial parameters. Application of the three-step deconvolution (Deghost + Inverse Filter + Decon), using the estimated parameters and residual pulse from the two-step inversion process show significant spectral broadening (especially on the low frequency region, thus improving the temporal resolution of the data.
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Marine Deghosting Using the Continuous Wavelet Transform
Authors K.J. Hellman, J.A. Stein and N. ShahThe seismic bandwidth and resolution of conventional marine streamer data can be easily compromised by the appearance of a well know interference phenomena produced by the towing of sources and receivers below the water. A secondary signal, which bounces off of the sea surface near the sources and receivers, called a ghost signal, is very close to the original primary signals causing an interference pattern that distorts the wavelet. The interference manifests itself as a series of notches in the amplitude spectrum. The appearance of these notches narrows the bandwidth of the usable data and reduces the resolution of the seismic signal. We propose a new processing approach for deghosting the data based on a filtering algorithm applied in the Continuous Wavelet Transform (CWT) domain. The CWT provides a solid mathematical framework for dealing with the non-stationary nature of seismic data, by allowing a time variant analysis for the filter design and application. The application of the procedure on two different data sets demonstrates that our new deghost technique successfully eliminates the ghost notches and enhances the high and low frequencies, hence expanding the bandwidth and increasing the resolution of the data.
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Extraction of the Normal Component of the Particle Velocity for Arbitrarly Shaped Surfaces
Authors W. Söllner, E.G. Asgedom and O.C. OrjiThe normal component of the particle velocity (or the normal derivative of the pressure field) at the recording surface is an indispensable information when deghosting or extrapolating marine seismic data. However, the pressure field at the recording surface is related to the normal component of the particle velocity based on Kirchhoff-Helmholtz integral equation. Nevertheless, extracting the normal component of the particle velocity from the recorded pressure is not a trivial task. This is because; first, the Green’s function containing the scattering information from a spatio-temporally varying sea surface must be known; and second, the signal-to-noise ratio of the pressure measurement at the notch frequencies are notoriously poor. We present a method based on Kirchhoff-Helmholtz integral equation for extracting the normal component of the particle velocity(away from the pressure notch locations for any arbitrarily shaped sea surfaces. The validity of the method is demonstrated using both synthetic and field datasets obtained using a dual-sensor streamer.
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Interactions Between Deghosting and Other Processing Steps - Searching for the Optimal Processing Order
Authors D. Brookes, D. McCann and D. ArmentroutBroadband seismic processing has become a key technique to get more out of the data. Deghosting is a key part of broadband techniques, but the location in the processing flow varies significantly. The deghosting operation is performed anywhere from immediately after acquisition to imaging. We will look a the interaction between deghosting and such techniques as demultiple, debubble, residual designature and denoise techniques. We hope to shed some light on the optimal location for deghosting in the processing flow.
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Repeatability Measure for Broadband 4D seismic
More LessFuture time-lapse broadband surveys should provide better reservoir monitoring resolution by extending the 4D signal bandwidth. In this paper, we will review the consequence of extending the signal bandwidth for the computation of 4D attributes, such as the repeatability measurement NRMS. The re-formulation of NRMS shows the sensitivity of the repeatability metric with regards to signal time-shift and signal bandwidth. Broadening the 4D signal bandwidth will result in an increase of the overall NRMS value for an equivalent seismic data with the same level on non-repeatable noise. To compare the quality of 4D seismic, regardless of bandwidth, we propose a new repeatability measure called CNRMS. The bandwidth Calibrated NRMS provides repeatability metric for any 4D seismic as it would be calculated with a reference signal bandwidth.
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Reghosted 4D and 3D Reservoir Characterization Using a Broadband Monitor on a Deep Offshore Turbiditic Field
Authors C. Deplante, F. Jeanjean, E. Sadeghi, V. Sebastiao and S. SagederOn a deep offshore turbiditic field covered by a recent yet conventional 4D baseline, a non-conventional route has been decided for the first monitor, to obtain seismic information related to dynamic heterogeneities but also better characterize reservoirs. The strategy decided for the first monitor (M1), one year after first oil, was to shoot broadband and process twice: - One 4D-dedicated processing mapped to conventional (with a Fast Track and a Full Processing phase) in order to match the baseline characteristics and obtain quality 4D signal to help understanding the early dynamic behaviour of the field. - One 3D broadband processing aiming to improve the existing seismic for reservoir characterization purposes. Despite a complicated workflow involving the generation of a reghosted dataset for 4D purposes, the final 4D data were produced in 4 months. The 3D broadband processing took 10 months overall. Beyond demonstrating that high quality 4D signal can be obtained by reghosting a broadband monitor on a conventional 4D baseline, it is shown that an unprecedented level of detail of dynamic heterogeneities and reservoir description can be reached in this setting using the combination of high resolution 4D fractional velocity change with 3D broadband images.
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Limitations of 2D Deghosting and Redatuming in Time-lapse Processing of Towed-streamer Data
Authors K. Eggenberger, P. Caprioli and R. BloorImplications to time-lapse seismic are discussed when relying on 2D deghosting and redatuming techniques rather than on 3D algorithms to match deep-tow data with a shallow legacy seismic tow. The analysis at hand, being performed for the first time, not only uses quantitative metrics to allow for a thorough and detailed evaluation of the 4D noise observed, but also capitalizes on new qualitative measures like the stack of the horizontal acceleration component Y for its characterization. The analysis on 2D deghosted and redatumed deep-tow data is performed against a measured shallow-tow witness data set where care was taken not to compromise the 3D propagating wavefield in the pre-processing. Whereas the 2D approach produces good repeatability over laterally non-varying geology, it fails over more complex geology, introducing a coherent error when dealing with out-of-plane energy. Mitigation is available through the use of 3D deghosting and redatuming algorithms, relying on non-aliased spatial bandwidth to further enhance time-lapse repeatability.
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The Impact of the Receiver-side Ghost on 4D Monitoring Using Broadband Seismic
More LessIncreasing the seismic resolution by extending the signal bandwidth has been a technology driver for the seismic industry over recent years. Although some remarkable marine exploration case studies have validated the concept of 3D broadband images, the technology has not shown its full potential in a 4D context. In this paper, we will describe advantages of data acquired using a dual-sensor towed streamer for 4D seismic applications.
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Broadband Data – Integration of the Knowledge
By D. SinevaBroad Band technology used for seismic data acquisition opened many possibilities for detail data interpretation and reservoir characterization in a complex areas where resolution is necessary. During the last few years our industry saw many examples of fantastic dataset with significant data quality improve in terms of signal to noise ratio, vertical and lateral resolution and etc.. Is this enough to assume that Broad Band data by definition will provide the superior data quality ? Is there an additional work that should be done to guarantee that results will meet the expectations? And how should we set those expectation? These are some of many questions we need to find answers before we commit to broad band or any kind of new technologies.
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