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Search Results for Predictive deconvolution in practice
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Predictive deconvolution in practice
Paper presented at the 2014 SEG Annual Meeting, October 26–31, 2014
Paper Number: SEG-2014-1388
... Geophysics, 5, no. 3, 189 196, httpdx.doi.org/10.1007/s11770-008-0027-1. Peacock, K. L., and S. Treitel, 1969, Predictive deconvolution: Theory and practice: Geophysics, 34, 155 169, httpdx.doi.org/10.1190/1.1440003. Robinson, E. A., 1957, Predictive decomposition of seismic traces: Geophysics, 22, 767 778...
Paper presented at the 2010 SEG Annual Meeting, October 17–22, 2010
Paper Number: SEG-2010-3499
..., 2004, The Gabor Transform, pseudodifferential operators, and seismic deconvolution: Integrated Computer- Aided Engineering, 9, 1 13. Peacock, K. L., and S. Treitel, 1969, Predictive deconvolution: Theory and practice: Geophysics, 34, 155 169, doi:10.1190/1.1440003. Perez, M. A., and Henley, D. C., 2000...
Paper presented at the SPE Nigeria Annual International Conference and Exhibition, August 5–7, 2014
Paper Number: SPE-172446-MS
... used to confirm dynamic fault seal breakdown over production time scale, thereby explain the increased recovery and connected STOIIP. The origin of the fault seal failure was also predicted. At the end we demonstrated that deconvolution can aid in accurate reservoir characterization and ultimately...
Paper presented at the 2007 SEG Annual Meeting, September 23–28, 2007
Paper Number: SEG-2007-2550
... Claerbout, J., 1976, Fundamentals of geophysical data processing: McGraw-Hill Inc. Dash, B. P., and K. A. Obaidullah, 1970, Determination of signal and noise statistics using correlation theory: Geophysics, 35, 24 32. Peacock, K. L., and S. Treitel, 1969, Predictive deconvolution - Theory and practice...
Paper presented at the 1988 SEG Annual Meeting, October 30–November 3, 1988
Paper Number: SEG-1988-0727
...- solution: Theory and practice: Geophysics, v. 34, lSCl60. Robinson, E. A., 1954, Predictive deconvolution f time series with application to seismic exploration: Ph.D. the&, Department of Geology and Geophysics, M.I.T. Ulrych, T. J., and Matsuoka, T., 1987, The output of predictive deconvdution...
Paper presented at the 2002 SEG Annual Meeting, October 6–11, 2002
Paper Number: SEG-2002-2194
... ms and 1400 ms. Not only is the reverberation suppressed, but the reflection s signature (the interpretation wavelet) is an undistorted copy of the model s FIR wavelet kernel. The prediction error filters in this example are nearly exact for lags between 30 and 50 ms. In practice, the filtered output...
Paper presented at the 2003 SEG Annual Meeting, October 26–31, 2003
Paper Number: SEG-2003-2032
... and 72nd Annual Meeting, Salt Lake City. Parrish, John F., 2003, Signature after predictive deconvolution, Australian Society of Exploration Geophysicists 16th Geophysical Conference and Exhibition, Adelaide. Peacock, K. L., and Treitel, S., 1969, Predictive deconvolution: theory and practice...
Paper presented at the SPE Annual Technical Conference and Exhibition, October 26–29, 2020
Paper Number: SPE-201335-MS
... capability of deconvolution algorithms in industrial practice. machine learning pressure transient testing constraint artificial intelligence upstream oil & gas ridge regression drillstem testing drillstem/well testing pressure behavior noisy measurement spline regression singular value...
Paper presented at the 1992 SEG Annual Meeting, October 25–29, 1992
Paper Number: SEG-1992-1149
... signal-to-noise ratio (0.71). Peacock, K. L. and Treitel, S., 1969, Predictive deconvolution: theory and practice. Geophysics, 34, 155-169. 1151 1992. Society of Exploration Geophysicists ...
Paper presented at the 1987 SEG Annual Meeting, October 11–15, 1987
Paper Number: SEG-1987-0795
... domain marc cathrinec richard edge effect brysk deconvolution Predictive Deconvolution of Cylindrical Slant Stacks s 17.4 Henry Brisk, Marc Cathrinec Richard A. Goodrum, and Jean-Louis Pennacchioni, CGG American Services Inc. SUMMARY Multiples are precisely periodic in the tau-p Figure 1 and the...
Paper presented at the 1985 SEG Annual Meeting, October 6–10, 1985
Paper Number: SEG-1985-0558
... source: Geophysics, 48, 379-397. Peacock, K. L., and Treitel, S., 1969, Predictive deconvolutio+Theory and practices: Geophysics, 34, 155-169. 560 Seismic 16 Poller. A.. Lowrie, L.. and Matthews, J., 1982, Vtbroseis deconvolu- tion-A surface consistent method: Presented at the 52nd .4nnual In...
Paper presented at the 1984 SEG Annual Meeting, December 2–6, 1984
Paper Number: SEG-1984-0689
... effective seismic wavelet that is time variant in both phase and frequency due to absorption. A Hybrid Inverse and Forward Wave Scattering Approach to Spiking and Predictive deconvolution S18.8 A. K. M. Sarwar, Univ. of New Orleans; and David L. Smith, Chevron USA We propose a wave-scattering approach to...
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 26–28, 2021
Paper Number: URTEC-2021-5278-MS
... of exponential decline and corresponds to boundary-dominated flow. = Fig. 2 Log-log plot of the dimensionless rate solution for the 1D single-phase slightly compressible fluid case. URTeC 5278 In practice, identifying the flow regime from actual rate-time data is not straightforward owing to...
Paper presented at the 1982 SEG Annual Meeting, October 17–21, 1982
Paper Number: SEG-1982-0077
... that the SC method offers further advantages because statistical methods tend to provide more noise- free operators. The method is being applied today in various areas and results to date are encouraging. Predictive Deconvolution and the Zero-Phase Source Bruce Gibson and Ken Lamer, Wesfern Geophysical...
Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3414684
.../down deconvolution is a very effective technique. Although images made from deconvolved up-going wavefields benefit significantly from up/down deconvolution, they suffer from geometry related disadvantages. In particular, shallower specular reflection points are restricted to a small area around each...
SPE Reservoir Evaluation & Engineering 8 (02): 113–121.
Paper Number: SPE-84290-PA
Published: 01 April 2005
... predict the pressure behavior over 590 hours of data sequence. This is illustrated in Fig. 18, in which a model that reproduces the PBU pressure in Fig. 17 does not honor the pressure over the entire data sequence. Deconvolution analysis in this case offers a way to determine characteristic system...
Paper presented at the 2015 SEG Annual Meeting, October 18–23, 2015
Paper Number: SEG-2015-5924954
... Summary Frequency–space ( f-x ) deconvolution is a common practice in multicomponent denoising. While it helps in removing coherent and incoherent noise, requirement of different filter lengths in different components modulates amplitudes of the useful signals inconsistently. This present a...
Ali Al-Amani Hj Azlan, Wan Mohd Wan Muda, Alireza Hajizadeh Mubaraki, Khairul Ezee M Khir, Norhayati M Sahid, Amran M Zakei
Paper presented at the SPE Middle East Oil and Gas Show and Conference, March 18–21, 2019
Paper Number: SPE-195038-MS
... Abstract This paper presents the result of synergizing advanced well test deconvolution, rate transient analysis and detailed reservoir modeling to answer the compartmentalization uncertainty demonstrated by downhole pressure data in K field located offshore Sarawak, Malaysia. The gas reservoir...
Paper presented at the SPE Eastern Regional Meeting, October 15–17, 2019
Paper Number: SPE-196598-MS
... et al. 2003 ; Onur et al. 2012 ). The corresponding workflow based on the traditional deconvolution method was demonstrated to be practical; however, it relied strongly on several consistent pressure build-up periods. An issue arising in the traditional deconvolution approach is addressed by Liu...
Hamed Darabi, Xiang Zhai, Amir Kianinejad, Zheren Ma, David Castineira, Vural Sander Suicmez, Robert Toronyi
Paper presented at the International Petroleum Technology Conference, January 13–15, 2020
Paper Number: IPTC-20099-MS
... consideration of uncertainty and robustness for training and prediction. Boosting and bootstrap tree-based models are ensembled to maximize the model generalization capability. In contrast to the commonly seen black-box modeling practices, the factor-specific impacts are deconvoluted, allowing for validation of...
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