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This study had been executed employing Seismic Refraction Tomography (SRT) and Multichannel Analysis of Surface Waves (MASW), to integrate elastic and bearing capacity with engineering criteria within delineation for seismic microzonation besides menace assessment. Forty-eight and eight SRT and MASW outline through an aggregate distance of about 484 m breathe constrained toward characterizing topsoil variables conducive to site characterization. 12 kg sledge hammers with 1.0 m diameter aluminum disc, twenty-four channels (ES 30000S) enhancement seismographs were used as seismic sources, detectors, and recorders. P and S wave’s velocities breathe attained as well as delineated employing SRT and MASW techniques via beget 2D/3D velocity-depth model. The elastic, bearing capacity and engineering parameters calculated were: elastic/ rigidity modulus, Poisson ratio, allowable capacity, compactness grade along with strain correlation to evaluate the near-surface substratum through geophysical and engineering potential. These parameters identified three microzones: Higher, midway, and bottom zones. The higher zone is delineated by frail soil quality; the midway one is delineated by light soil quality and the bottom zone is delineated by acceptable soil quality. The frail and light parameters of the higher and midway zones lead to the structural collapse experience in the region. Therefore, the bottom zone of acceptable soil and rock quality is recommended for the construction plan.

Seismic attributes were evaluated over Edi field, offshore Western Niger Delta, Nigeria, via 3D seismic data. Manual mappings of the horizons and faults on the in-lines and cross-lines of the seismic sections were done. Various attributes were calculated and out put on four horizons corresponding to the well markers at different formations within the well were identified. The four horizons identified, which includes: H1, H2, H3 and H4 were mapped and interpreted across the field. The operational agenda was thru picking given faults segments on the in–line of seismic volume. A total of five faults coded as F1, F2, F3, F4 and F5, F1 and F5 were the major fault and were observed as extending through the field. Structural and horizon mappings were used to generate time structure maps. The maps showed the various positions and orientations of the faults. Different attributes which include: root mean square amplitude, instantaneous phase, gradient magnitude and chaos were run on the 3D seismic data. The amplitude and incline magnitude maps indicate direct hydrocarbon on the horizon maps; this is very important in the drilling of wells because it shows areas where hydrocarbons are present in the subsurface. The seismic attributes revealed information, which was not readily apparent in the raw seismic data.