Application of Prony decomposition and Phase Decomposition for predicting carbonate reservoir properties from seismic data
https://doi.org/10.55959/MSU0579-9406-4-2026-65-3-120-126
Abstract
The joint analysis of seismic data decomposed using the Prony method and Phase decomposition enables the identification of hydrocarbon accumulations in post-stack seismic sections. This study demonstrates the application of these methods to newly reprocessed 2D high-density seismic data from the “Persian Carpet” survey in the Persian Gulf. The first method applied—the Prony method—is aimed at localising potential reservoir fluid accumulations by identifying dumped seismic signals. The second method—Phase Decomposition—is used to differentiate the detected anomalies into hydrocarbon-bearing and formation-water-bearing zones through the analysis of phase-decomposed seismic responses from reservoir tops. The results confirm the effectiveness of this approach for detecting both thin and large accumulations directly from post-stack seismic data. In addition, the application of the method to data from the Persian Gulf demonstrates its relevance for the study of heterogeneous reservoirs.
About the Authors
V. V. Kalashnikova
Pre Stack Solutions-Geo
Norway
Norway
Vita V. Kalashnikova
Oslo
Yu. P. Ampilov
Lomonosov Moscow State University; Oil and Gas Research Institute RAS
Russian Federation
Russian Federation
Yuri P. Ampilov
Moscow
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Review
For citations:
Kalashnikova V.V., Ampilov Yu.P. Application of Prony decomposition and Phase Decomposition for predicting carbonate reservoir properties from seismic data. Moscow University Bulletin. Series 4. Geology. 2026;65(3):120-126. (In Russ.) https://doi.org/10.55959/MSU0579-9406-4-2026-65-3-120-126
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