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Model used for deconvolution

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Proceedings Papers

Paper presented at the 2017 SEG International Exposition and Annual Meeting, September 24–29, 2017
Paper Number: SEG-2017-17680948
... Deconvolution Using Q Attenuation Model Deborah Pereg and Israel Cohen, Technion Israel Institute of Technology, and Anthony A. Vassiliou , GeoEnergy SUMMARY We consider the problem of recovering the underlying re- flectivity signal from its seismic trace, taking into account the attenuation and dispersion...
Proceedings Papers

Paper presented at the EAGE Annual Conference & Exhibition incorporating SPE Europec, June 10–13, 2013
Paper Number: SPE-164870-MS
... different possible interpretation models. In some cases, the non-uniqueness of deconvolution can be reduced using knowledge of the expected model response, for instance from geology or seismic. In the absence of differentiating information, however, alternative interpretation models have to be considered...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 26–28, 2021
Paper Number: URTEC-2021-5278-MS
... singular value decomposition (TGSVD), truncated total least-squares (TTLS) and regularized exponential basis functions. Second, we fit the production with a scaled single-phase slightly compressible physics-based model using: (a) rate-time-pressure data (with the deconvolution procedure), and (b) only rate...
Images
(a) Combined BU-RNP and <b>deconvolution</b> results and proposed <b>Model</b> 1 <b>using</b> BU...
Published: 14 February 2010
Fig. 8 (a) Combined BU-RNP and deconvolution results and proposed Model 1 using BU16. (b) Combined BU-RNP and deconvolution results and proposed Model 2 using BU16. More
Proceedings Papers

Paper presented at the 2012 SEG Annual Meeting, November 4–9, 2012
Paper Number: SEG-2012-0152
... a global gravity field model using Euler deconvolution by Tedla et al. (2011). Geophysical Journal International (accepted for publication). Salem, A., S. William, D. Fairhead, R. Smith, and D. Ravat, 2008, Interpretation of magnetic data using tilt-angle derivatives: Geophysics, 73, no. 1, L1 L10, doi...
Proceedings Papers

Paper presented at the SPE Europec featured at 82nd EAGE Conference and Exhibition, October 18–21, 2021
Paper Number: SPE-205160-MS
..., and constrained multiwell deconvolution to estimate the deconvolved derivatives of Wells 2 and 3, using the initial pressure and rates estimated from unconstrained multiwell deconvolution ( Fig. 16 ): very good agreement is achieved with the models of Fig. 12 . Conclusions Multiwell deconvolution can...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3414684
... Up/down deconvolution is a very powerful OBN processing technique which, under the right circumstances, very effectively performs a combination of 3D signature deconvolution and free-surface multiple attenuation on the up-going wavefield. Using an adaption of the Delft feedback model, we...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 26–29, 2020
Paper Number: SPE-201667-MS
... of the interpretation model (for instance by allowing the interpreter to decide whether a late-time down-dipping in a build-up derivative response indicates a closed system or a constant pressure boundary). Other important uses of deconvolution have received less emphasis, notably correcting errors in rate...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3216421
..., the deconvolution imaging condition in equations (4 6) mainly compensates the source side illumination variation. Synthetic examples We first test the algorithms use a synthetic data with known analytic solution, where the shot gather is generated from a constant velocity model with two half space of density...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, November 2–August 19, 2020
Paper Number: OTC-30291-MS
.... Ajayi (2007 ) studied well test response of vuggy naturally fractured carbonate reservoir. The results showed that the conventional models were not successful enough to characterize the pressure response in more complex reservoirs. In this manuscript, deconvolution approach applied to several single...
Proceedings Papers

Paper presented at the SPE Europec, December 1–3, 2020
Paper Number: SPE-200617-MS
... In this paper, we propose an alternative, which uses a multi-region radial composite (MRRC) model as a proxy for producing physically realistic derivative response functions, with a small number of parameters to be determined from the data via a deconvolution process. Additionally, we treat...
Proceedings Papers

Paper presented at the 2018 SEG International Exposition and Annual Meeting, October 14–19, 2018
Paper Number: SEG-2018-2996117
... extension using sparse blind deconvolution cba fed Figure 4. Estimation of phase changes between two data sets: a) A reference noise-free model data by convolving a bandlimited (3 to 80 Hz) wavelet with reflectivity series, b) noisy data after SSBD, c) trace-by-trace cross-correlation of the upper windowed...
Proceedings Papers

Paper presented at the 2017 SEG International Exposition and Annual Meeting, September 24–29, 2017
Paper Number: SEG-2017-17586876
...-varying spectral modelling deconvolution based on SSWT is proposed. First of all, we use SSWT to analyse the time-frequency relation of the seismic signal, and design time-varying spectral modelling deconvolution operator. Using this operator, we can get a new time-frequency spectrum. Then, the new time...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3215626
... assumption of formation sparsity, the relatively sparse reflectivity or impedance is desired to extract from seismic records by using the nonstationary sparse deconvolutions. It is universally known that the sparsity for nonstationary deconvolution results greatly depend on Q-model. Correspondingly...
Proceedings Papers

Paper presented at the 2017 SEG International Exposition and Annual Meeting, September 24–29, 2017
Paper Number: SEG-2017-17747391
... methods we used are dominated by stationary processes, and assuming the wavelet is invariant make some important reflection coefficients lost. With the development of deconvolution, nonstationary convolution model and its deconvolution method was proposed (Margrave et al, 1998-2011) and cause widespread...
Proceedings Papers

Paper presented at the 2014 SEG Annual Meeting, October 26–31, 2014
Paper Number: SEG-2014-0216
... coefficients and their probability distribution, we proposed to use p-norm distribution as prior information of reflection coefficients, and establish a blind deconvolution model. The p-norm regularization model was built and transformed into a re-weighted least square problem and the preconditioning conjugate...
Proceedings Papers

Paper presented at the 2017 SEG International Exposition and Annual Meeting, September 24–29, 2017
Paper Number: SEG-2017-17630995
... of the pulse may be calculated using numerical modelling. To our knowledge, application of a purely deterministic signature deconvolution filter without adaptation to the data may introduce unwanted artefacts in the presence of noise or in case the source is unstable. In this paper, we introduce adaptation...
Proceedings Papers

Paper presented at the 2017 SEG International Exposition and Annual Meeting, September 24–29, 2017
Paper Number: SEG-2017-17748724
..., firstly we generate a thin-interbed model © 2017 SEG SEG International Exposition and 87th Annual Meeting Page 3511 A blue deconvolution method using mixed phase wavelet on description of interlayers and reservoirs connectivity (figure 1a) according to the actual situation, which contains a sand...
Proceedings Papers

Paper presented at the SPE Europec featured at 78th EAGE Conference and Exhibition, May 30–June 2, 2016
Paper Number: SPE-180158-MS
... of the multiwell deconvolution algorithm. A multiply-fractured horizontal well analytical model was used to analyse the resulting deconvolved derivatives for fracture characteristics and reservoir behaviours. A numerical model was then constructed to confirm the interference effects seen in the actual data...
Proceedings Papers

Paper presented at the SPE Latin American and Caribbean Petroleum Engineering Conference, July 27–31, 2020
Paper Number: SPE-198960-MS
... ) to model and perform Bayesian inference. Once we obtain the posterior distribution for the unknown parameters, we can calculate confidence intervals at the required probability. We have presented a new algorithm to perform rate-pressure deconvolution, using Bayesian inference. We parametrized...

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