Site-dependent Geological Model For Density Estimation In The Niger Delta Basin, Nigeria

J. G. Atat (), E. D. Uko (), I. Tamunobereton-ari and C. L. Eze
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J. G. Atat: Department of Physics, University of Uyo, Uyo, Nigeria
E. D. Uko: Department of Physics, Rivers State University, Port Harcourt, Nigeria
I. Tamunobereton-ari: Department of Physics, Rivers State University, Port Harcourt, Nigeria
C. L. Eze: Institute of Geosciences and Space Technology, Rivers State University, Nigeria

Malaysian Journal of Geosciences (MJG), 2020, vol. 4, issue 1, 1-6

Abstract: Seismic and Well-log data covering three wells in tau(τ) Field in the Niger Delta were used for density modelling. Using Hampson Russell Software, Gardner’s and Lindseth’s relations were localized and subsequently transformed to obtain local fits constants for sand and shale lithologies which were used to achieved the final models. The seismic inversion was performed using four steps: well-to-seismic tie, geology model, acoustic impedance inversion and density prediction. A relationship was established between impedance and density. Pairing Gardner with those by Lindseth approaches and also obtained the average, the final models are ρ=0.1572Z_p^0.2126-16997Z_p^(-1)+1.5625 and ρ=0.09045Z_s^0.1935-7093.5Z_s^(-1)+1.4706 for sandstones lithology; ρ=0.3185Z_p^0.3103-6510Z_p^(-1)+1.42855 and ρ=0.16145Z_s^0.2308-34203.5Z_s^(-1)+1.42855 for shale lithology. These models yield a new concept which will contribute to global knowledge. In the absence of density log, these equations can be used to estimate density in the area.

Keywords: Density; Velocity; Parameters; Sandstones; Shale; Seismic Inversion; Seismic Data and Well-Log Data. (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:zib:zbnmjg:v:4:y:2020:i:1:p:1-6

DOI: 10.26480/mjg.01.2020.01.06

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