Integrated Reservoir Characterization of “DAT Asset” Using 3D Seismic and Well Log, Onshore, Niger Delta Basin of Nigeria

I. F. Adesokan *

Department of Geosciences, University of Lagos, Nigeria.

S. A. Akinwale *

Department of Geosciences, University of Lagos, Nigeria.

S. Oladele

Department of Geosciences, University of Lagos, Nigeria.

O. V. Adeyemi

Department of Geosciences, University of Lagos, Nigeria.

V. M. Adekola

Department of Geology, Obafemi Awolowo University, Nigeria.

*Author to whom correspondence should be addressed.


Abstract

An integrated interpretation of 3D seismic and composite well log data analysis over the “DAT” Asset characterizes the reservoir rocks using petrophysical properties, seismic interpretation and quantitative seismic attributes analysis within Nigeria’s offshore Niger Delta Basin. The petrophysical analysis identified three hydrocarbon-bearing reservoirs (sand D, E, and F). The porosity of the reservoirs ranged from 17% - 26%, water saturation 17% - 45% and hydrocarbon saturation 55% - 83%. The three reservoirs were mapped in the “ADT” field and across the entire “DAT” Asset at a depth range of -9573 ft. (sstvd) to -11200 ft. (sstvd), with a thickness range of 35 ft. - 42 ft. A high amplitude burst area was recognised in the upthrown block of the discovered “ADT” field. Seismic attribute maps revealed that high amplitude corresponds to reservoir sands in the “ADT” field. These high amplitudes are structurally supported and prominent around the discovered hydrocarbon-bearing zones and other prospective zones, the prospect was named GAMMA prospect. The probable hydrocarbon volume estimation results for the identified reservoir and prospective GAMMA regions are satisfactory for further exploration. Integration of various tools in reservoir characterization limits uncertainties and yields a better result, which aids in hydrocarbon production and prospecting.

Keywords: Prospect, volumetrics, hydrocarbon saturation, reservoir, structural map, petrophysics, RMS amplitude, velocity model


How to Cite

Adesokan, I. F., S. A. Akinwale, S. Oladele, O. V. Adeyemi, and V. M. Adekola. 2022. “Integrated Reservoir Characterization of ‘DAT Asset’ Using 3D Seismic and Well Log, Onshore, Niger Delta Basin of Nigeria”. Asian Journal of Geological Research 5 (2):112-26. https://www.journalajoger.com/index.php/AJOGER/article/view/114.

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