_____________________________________________________________________________________________________ *Corresponding author: E-mail: olaseni.victor@fupre.edu.com; Asian Journal of Research and Reviews in Physics 1(1): 1-15, 2018; Article no.AJR2P.40488 A Statistically Driven Spectral Method for Deriving Reservoir Properties Using 3D Seismic Data and Well Log Suites V. B. Olaseni 1* , Y. S. Onifade 1 , J. O. Airen 2 and L. Adeoti 3 1 Department of Physics, Federal University of Petroleum Resources Effurun, Nigeria. 2 Department of Physics, University of Benin, Benin City, Nigeria. 3 Department of Geoscience, University of Lagos, Lagos, Nigeria. Authors’ contributions This work was carried out in collaboration between all authors. Author VBO designed the study, performed the statistical analysis, wrote the protocol and wrote the first draft of the manuscript. Authors YSO and JOA managed the analyses of the study. Author LA managed the literature searches. All authors read and approved the final manuscript. Article Information DOI: 10.9734/AJR2P/2018/40488 Editor(s): (1) Sebahattin Tuzemen, Professor, Department of Physics, Faculty of Science, Ataturk University, Turkey. Reviewers: (1) Muhamamd Tayyab Naseer, Quaid-I-Azam University, Pakistan. (2) Hector Enrique, Sinaloa University, Mexico. Complete Peer review History: http://www.sciencedomain.org/review-history/23928 Received 16 th January 2018 Accepted 27 th March 2018 Published 2 nd April 2018 ABSTRACT A statistically driven spectral method was carried out on 3D seismic data and well logs in ‘’VIC’’ Field within the Niger Delta with the aim of deriving reservoir properties and delineating stratigraphic features using edge detection attributes like coherence so as to have a better and clearer view of subsurface structure of a reservoir interval that possesses hydrocarbon using Spectral method. A suite of data consisting of seismic sections and composite logs comprising Gamma-ray, Resistivity, Spontaneous Potential, Sonic Time and Porosity logs (density and Neutron) were utilized to identify reservoir interval on log signature across wells 4 and 5 and the reservoir interval obtained was between 11,164 feet and 11,196 feet. Edge detection attribute like coherence was computed from the amplitude data in time domain and transformed to frequency domain using Fourier Transform tool in MATLAB. In order to display well log in time, well to seismic tie was carried out using check shot data which was used as time to depth relationship. Original Research Article