Phase Decomposition and Its Applications

Satinder Chopra; Ritesh Kumar Sharma; John Castagna; Oleg Portniaguine; Gabriel Gil; Kenneth Bredesen

doi:10.3997/1365-2397.fb2022044

ISSN: 0263-5046
E-ISSN: 1365-2397

Phase Decomposition and Its Applications
Authors Satinder Chopra¹, Ritesh Kumar Sharma¹, John Castagna², Oleg Portniaguine³, Gabriel Gil³, Kenneth Bredesen⁴
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Affiliations: ¹ SamiGeo ² The University of Houston ³ Lumina Technologies Inc. ⁴ Geological Survey of Denmark and Greenland (GEUS)
Source: First Break, Volume 40, Issue 6, Jun 2022, p. 35 - 41
DOI: https://doi.org/10.3997/1365-2397.fb2022044
- Published online: 01 Jun 2022

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Abstract

We discuss the recently introduced phase decomposition analysis, which entails amplitude variation with time for a specific seismic phase. Assuming a zero-phase wavelet embedded in the seismic data, while flat spots or unresolved water contacts may be seen on the zero-phase component, thin-bed and impedance changes will show up on phase components that are 90° out of phase with the wavelet. Similar bright spots caused by thin hydrocarbon reservoirs are associated with low impedance and show up on the phase component that is −90° out of phase with the embedded wavelet. In all cases the interpretation of bright spots is found to be convenient, and easier with the use of −90° seismic phase component. In this paper, application of phase decomposition to a few instances are first demonstrated through synthetic data examples, followed by a couple of real seismic data case studies. In particular, the case study from a gas storage reservoir in Denmark exhibits how phase decomposition can aid interpretation efforts. Some of the typical issues that seismic interpreters might come across, including the one where the input seismic data might have a phase different from zero phase are elaborated in the ‘Discussion’ section.

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References

Barbato, U., Portniaguine, O. Winkelman, B. and Castagna, J.P. [2017]. Phase decomposition as a DHI in bright spot regimes: A Gulf of Mexico case study. 87th Annual International Meeting, SEG, Expanded Abstracts, 3976–3980, doi.org/10.1190/segam2017‑17737608.1.
https://doi.org/doi.org/10.1190/segam2017-17737608.1 [Google Scholar]
Bredesen, K. [2021]. Assessing rock physics and seismic characteristics of the Gassum Formation in the Stenlille aquifer gas storage – A reservoir analog for the Havnsø CO2 storage prospect, Denmark, accepted for publication in the International Journal of Greenhouse Gas Control.
[Google Scholar]
Castagna, J., Sun, S. and Siegfried, R. [2003]. Instantaneous spectral analysis: Detection of low-frequency shadows associated with hydrocarbons. The Leading Edge, 22(2), 120–127, doi.org/10/1190/1.1559038.
https://doi.org/doi.org/10/1190/1.1559038 [Google Scholar]
Castagna, J.P., Oyem, A., Portniaguine, O. and Aikulola, U. [2016]. Phase decomposition. Interpretation, 4(3), SN1–SN10, dx.doi.org/10.1190/INT‑2015‑0150.1.
https://doi.org/dx.doi.org/10.1190/INT-2015-0150.1 [Google Scholar]
Chakraborty, A., and Okaya, D. [1995. Frequency-time decomposition of seismic data using wavelet-based methods. Geophysics, 60(6), 1906–1916, doi.org/10.1190/1.3627561.
https://doi.org/doi.org/10.1190/1.3627561 [Google Scholar]
Chopra, S., and Marfurt, K.J. [2018]. Multispectral, multiazimuth and multioffset coherence attribute applications. Interpretation, 7(2), SC21–SC32. doi.org/10.1190/INT‑2018‑0090.1.
https://doi.org/doi.org/10.1190/INT-2018-0090.1 [Google Scholar]
Lindner, R.R., Vera-Ciro, C., Murray, C.E., Stanimirovic, S., Babler, B., Heiles, C., Hennebelle, P., Goss, W.M. and Dickey, J. [2015]. Autonomous Gaussian Decomposition. The Astronomical Journal, 148(4) 1–14, doi:10.1.1088/0004‑6256/149/4/138.
https://doi.org/10.1.1088/0004-6256/149/4/138 [Google Scholar]
Mallat, S. and Z.Zhang [1993]. Matching pursuits with time-frequency dictionaries. IEEE Transactions on Signal Processing, 41(12), 3397–3415, doi:10.1109/78.258082.
https://doi.org/10.1109/78.258082 [Google Scholar]
Meza, R., Haughey, G., Castagna, J.P., Barbato, U. and PortniaguineO. [2016]. Phase decomposition as a hydrocarbon indicator. A case study: 86th Annual International Meeting, SEG, Expanded Abstracts, 1839–1943, doi.org/10.1190/segam2016‑13871199.1.
https://doi.org/doi.org/10.1190/segam2016-13871199.1 [Google Scholar]
Partyka, G., Gridley, J. and Lopez, J. [1999]. Interpretational applications of spectral decomposition in reservoir characterization. The Leading Edge, 18(3), 353–360, doi.org/10.1190/1.1438295.
https://doi.org/doi.org/10.1190/1.1438295 [Google Scholar]
Portniaguine, O. and Castagna, J.P. [2004] Inverse spectral decomposition. 74th Annual International Meeting, SEG, Expanded Abstracts, 1786–1789. doi.org/10.1190/1.1845172.
https://doi.org/doi.org/10.1190/1.1845172 [Google Scholar]
Portniaguine, O. and Castagna, J.P. [2005] Spectral inversion: Lessons from modeling and Boonesville case study. 75th Annual International Meeting, SEG, Expanded Abstracts, 1638–1641. doi.org/10.1190/1.2148009.
https://doi.org/doi.org/10.1190/1.2148009 [Google Scholar]
Puryear, C.I., Portniaguine, O., Cobos, C. and Castagna, J.P. [2012]. Constrained least-squares spectral analysis: Applications to seismic data. Geophysics, 77(5), ISO-Z132, doi.org/10.1190/geo2011‑0210.1.
https://doi.org/doi.org/10.1190/geo2011-0210.1 [Google Scholar]
Sinha, S., Routh, P.S., Anno, P.D. and Castagna, J.P. [2005]. Spectral decomposition of seismic data with continuous-wavelet transforms. Geophysics, 70(6), 19–25, doi.org/10.1190/1.2127113.
https://doi.org/doi.org/10.1190/1.2127113 [Google Scholar]
Stockwell, R., Mansinha, L. and Lowe, R. [1996]. Localization of the complex spectrum: the s transform. IEEE Transactions on Signal Processing, 44(4), 998–1001, doi:10.1109/78.492555.
https://doi.org/10.1109/78.492555 [Google Scholar]
Widess, M.B. [1973]. How thin is a thin bed?Geophysics, 38(6), 1176–1180, doi.org/10.1190/1.1440403.
https://doi.org/doi.org/10.1190/1.1440403 [Google Scholar]

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Phase Decomposition and Its Applications

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