Method of complex interpretation of spectral decomposition for seismic facies analysis and parametrization of lithological traps
Belaeva, A. and Murtazin, D., 2022. Method of complex interpretation of spectral decomposition for seismic facies analysis and parametrization of lithological traps. Journal of Seismic Exploration, 31: 239-251. The study aims at creating a method for complex interpretation of spectral decomposition for seismic facies analysis, parametrization of potential lithological traps, prediction of effective reservoir thicknesses in the inter-well space and risk reduction in the assessment of reserves and resources. The method of spectral decomposition using the Wavelet transform was applied during the research. This method of seismic route decomposition was used as part of the proposed methodology. Many clustering methods from the Sklern Python library were used. The study placed a premium on the KMeans methods. Correlation analysis and qualitative interpretation of the obtained seismic images were used to link geological and seismic information. The developed method of sorting the centres of spectral curves clusters allowed a joint analysis of wells data and clustering results. The developed approach was applied to comprehensively study the paleochannel systems of the West Siberian, Timan-Pechora and Volga-Ural oil and gas provinces. The advantages of the proposed technology over attribute analysis, spectral characteristics analysis and RGB blending were proved by comparing the deposits of the above-mentioned provinces. Various geological objects in the wavefield were identified using qualitative interpretation and then linked with wells data. This technology proved to be the best when using quantitative interpretation. High correlation coefficients between the effective thicknesses in wells and the results of spectral curves clustering were obtained.
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