Poststack, prestack, and joint inversion of P- and S-wave data for Morrow A sandstone characterization

Author:

Singh Paritosh1,Davis Thomas L.2,DeVault Bryan3

Affiliation:

1. Formerly Colorado School of Mines, Golden, Colorado; presently ExxonMobil Exploration Company, Houston, Texas, USA..

2. Colorado School of Mines, Golden, Colorado, USA..

3. Vecta Oil and Gas, Houston, Texas, USA..

Abstract

Exploration for oil-bearing Morrow sandstones using conventional seismic data/methods has a startlingly low success rate of only 3%. The S-wave velocity contrast between the Morrow shale and A sandstone is strong compared with the P-wave velocity contrast, and, therefore, multicomponent seismic data could help to characterize these reservoirs. The SV and SH data used in this study are generated using S-wave data from horizontal source and horizontal receiver recording. Prestack P- and S-wave inversions, and joint P- and S-wave inversions, provide estimates of P- and S-wave impedances, and density for characterization of the Morrow A sandstone. Due to the weak P-wave amplitude-versus-angle response at the Morrow A sandstone top, the density and S-wave impedance estimated from joint P- and S-wave inversions were inferior to the prestack S-wave inversion. The inversion results were compared with the Morrow A sandstone thickness and density maps obtained from well logs to select the final impedance and density volume for interpretation. The P-wave impedance estimated from prestack P-wave data, as well as density and S-wave impedance estimated from prestack SV‐wave data were used to identify the distribution, thickness, quality, and porosity of the Morrow A sandstone. The stratal slicing method was used to get the P- and S-wave impedances and density maps. The S-wave impedance characterizes the Morrow A sandstone distribution better than the P-wave impedance throughout the study area. Density estimation from prestack inversion of SV data was able to distinguish between low- and high-quality reservoirs. The porosity volume was estimated from the density obtained from prestack SV-wave inversion. We found some possible well locations based on the interpretation.

Publisher

Society of Exploration Geophysicists

Subject

Geology,Geophysics

Reference45 articles.

1. Agullo, Y., D. Mac, K. Labat, T. Tonellot, A. Bourgeois, and M. Lavielle, 2004, Joint PP and PS stratigraphic inversion for prestack time migrated multicomponent data: 74th Annual International Meeting, SEG, Expanded Abstracts, 889–892.

2. Benton, J. W., 1971, Subsurface stratigraphic analysis, Morrow (Pennsylvanian), North Central Texas County, Oklahoma: Master’s thesis, University of Oklahoma.

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