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Scirj, Volume VI [2018]
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Scirj Volume VI, Issue VIII, August 2018 Edition
ISSN: 2201-2796

Δ log r technique in quantitative estimation of source rock in Ameshi-001 well, Niger Delta

Benson Akinbode Olisa

Abstract: Total organic matter (TOC) estimation in the Niger Delta employed laboratory methods which gives elements of uncertainty because analyses were not done insitu. In addition, laboratory analysis is time consuming and very costly. The purpose of this analysis is to test if Δ log R technique could be applicable in the analysis of organic rich rocks in the Niger Delta. Four basic quantitative methods for determination of total organic carbon (TOC) from well logs are available, which include, directly from regression of core TOC versus core bulk density, Δ log R technique, based on the petro physical response model and an artificial neural network. Δ log R technique is employed in this study to identify source rock and estimate TOC. The reservoir interval was removed by gamma ray (GR) log curves. Carefully scaled resistivity and sonic curves were placed in the same track in log panels. In organic lean rocks (sandstone), the two curves are on top of each other, but in organic rich rocks (shale) the two curves are separated. Results shows that out of twelve sampling points, six calculated TOC were comparable with the laboratory results at corresponding depths.

Reference this Paper: Δ log r technique in quantitative estimation of source rock in Ameshi-001 well, Niger Delta by Benson Akinbode Olisa published at: "Scientific Research Journal (Scirj), Volume VI, Issue VIII, August 2018 Edition, Page 78-80 ".

Search Terms: Δ log R, gamma ray (GR), organic-rich-rocks, Total organic matter (TOC), estimation

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