Application of spectral inversion and fuzzy logic interpolation in post-stack resolution enhancement on a seismic volume of the Colombian llanos basin

Abstract

To improve the stratigraphic interpretation of 3D seismic data it is pursued to increase the vertical resolution by means of a Spectral Inversion (Puryear & Castagna, 2008; Qiu, Junhua, Xiaohui, Hu, & Lei, 2016) and the lateral resolution using a fuzzy logic interpolation (Souverville et al., 2015). Both the Spectral Inversion using a genetic algorithm and the interpolation are implemented in Matlab®, and tested in synthetic data and in a high resolution digital image, where both algorithms showed good performance.
Finally, when applied to the C7 unit of the Carbonera formation in a seismic volume of the Llanos Basin (Colombia), a seismic cube of greater resolution in space and time was obtained. The seismic attributes variance and sweetness were estimated before and after applying the Spectral Inversion and interpolation, noting that applying both gave higher interpretability to the stratigraphic facies. The interpretation of three different time slices allowed inferring formation environments that were validated with well information.