ONSHORE SEISMIC IMAGING USING DIFFERENT DATA DOMAIN IN NORTHERN NIGER DELTA, NIGERIA

Addah I. Dickson (), Tamunobereton-ari I and Horsfall I. Opiriyabo
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Addah I. Dickson: Department of Physics, Faculty of Science, Rivers State University, Nkpolu-Oroworukwo Port Harcourt, Nigeria.
Tamunobereton-ari I: Department of Physics, Faculty of Science, Rivers State University, Nkpolu-Oroworukwo Port Harcourt, Nigeria.
Horsfall I. Opiriyabo: Department of Physics, Faculty of Science, Rivers State University, Nkpolu-Oroworukwo Port Harcourt, Nigeria.

Geological Behavior (GBR), 2022, vol. 6, issue 1, 12-15

Abstract: Wide azimuth land acquisition, 3D data is spatially well sampled with a wide range of azimuth and the offsets distributed around those azimuths. This work examined how advance seismic processing technique has come onshore, using offset vector tile methods, high-fidelity, high-resolution is available for use on onshore data. Data were split into one hundred and twenty four vector tiles as a function of source-to-detector distance and azimuth relationship individual pre-trace is assigned an offset vector tiles number that is stored in the trace headers the number is based on the relative shot and receiver location for the trace. Data is regularized to maintain the necessary number of traces and the range of offset in each bin and allow to be filled then migration of the target lines and stacking. After regularization for both the common offset binning and the offset vector tiles (OVTs), it was observed that there is improved signal to noise ratio in the offset vector tiles as compare to the common offset binning, and there is overall improvement in event continuity on the OVTs result. Because onshore (land) data exhibit poor signal-to-noise ratios arising from irregular geometries and noise contamination a fundamental change in processing methods is required. The offset vector tiles (OVTs) have proven to be an effective and efficient tool for 3D wide azimuth acquisitions, the OVTs domain pre-processing, will yield a better imaging when compared to the common offset binning (COB) domain pre-processing.

Keywords: Offset; Azimuth; Migration; Binning; Tiles (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:zib:zbngbr:v:6:y:2022:i:1:p:12-15

DOI: 10.26480/gbr.01.2022.12.15

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