RESOLUTION OF SUB-SEISMIC RESERVOIRS BY THE APPLICATION OF SPECTRAL DECOMPOSITION AND SPECTRAL INVERSION METHODS IN BOONSVILLE FIELD, NORTH CENTRAL TEXAS.

Abstract

Constrained least squares-spectral analysis (CLSSA) and high resolution spectral inversion are applied to 3D seismic dataset from Boonsville field to overcome the wavelet interference arising from complex reflection patterns created by thin layering within Atoka conglomerate that forms the producing unit in this field. The Atokan conglomerate is a case of thin bed reservoir with discontinuous beds that depict seismic resolution below the typical Widess limit, making bed thickness estimation using conventional means almost impossible. Apparent bed thickness estimates are obtained from analyzing high resolution spectral inversion attribute volumes and the result compared with true bed thickness estimated from stratigraphic correlation of well log data. The results are found to be highly correlated, showing a great improvement in the temporal resolution from the high resolution volume. The inverted data furthermore revealed several minor faults and also enhances lateral bed continuity that were initially interpreted discontinuous due to wavelet distortion on seismic. These comparative analyses clearly show that spectral analysis using CLSSA and spectral inversion give temporal resolutions that are not achievable using the conventional Widess theory.

Description

Keywords

Spectral decomposition, Spectral inversion, Thin-bed resolution

Citation