4.6 Article

Velocity anisotropy and trend in Niger Delta, Nigeria

Journal

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s13202-021-01136-y

Keywords

Anisotropy; Velocity; Delta; Epsilon; Gamma

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This study utilized an empirical approach to estimate the velocity anisotropy in the study area, with results indicating higher anisotropy values in shale beds compared to sandstone beds. Three distinct velocity gradients were identified, suggesting the need to derive correction factors for individual wells to improve exploration success.
In geophysical data interpretation, matching the vertical velocity direction from seismic data with borehole-derived velocities is a challenging task because seismic-derived velocities are faster than borehole recorded velocities. This geophysical phenomenon is caused by velocity anisotropy. In this study, we used an empirical approach to estimate the degree of velocity anisotropy in the study area. The results showed that the delta anisotropy in sandstone beds varies from - 2.5% to 7.2% while most of them concentrate between 3.2% and 6.1%. The epsilon ranges between -6.4% and 9.3% while many of them concentrate between 3.2% and 7.2%. The gamma varies from - 6.3% to 7.3% while most of them concentrate between 1.2% and 5%. At shale beds, delta anisotropy varies from - 11.2% to 11.1% but most of them concentrate between 4.3% and 10.5%. The epsilon varies from - 7.2% to 14.5% while most of them concentrate between 4.5% and 10.5%. The gamma varies from 6.4% to 8.2% while majority of them concentrate between 2% and 5.3%. The results indicate that the study area is weakly to moderately anisotropic with shale beds having higher anisotropy values than sandstone beds. This probably results from preferential alignment of clay mineral orientations which also affect in situ velocity propagation. Three distinct velocity gradients (low, moderate and very high) were identified in the study area. These velocities vary erratically but showed northeast-southwest increase in velocities. Thus, the need to derive correction factors for individual wells for improved exploration success.

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