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- W2316619183 abstract "Summary The Agbada Formation is a parallic sequence of the Niger delta basin, composed of sand-shale intercalation. Sands in the Agbada formation are known to be the major reservoir rocks in the area. The research work aimed at employing geophysical approach to carry out a study on the shale lithologies of the Agbada Formation in the Niger Delta basin to prove whether they have mature source rock potential or their major responsibility is to seal the reservoirs, which has been the major argument among researchers. Two separate fields; ‘LAG’ and ‘JAY’ located in the basin were studied. Seismic and Well log data of 10 wells from the studied areas were used and the interpretation was carried out with Schlumberger’s Petrel 2012 software package, using gamma ray log to differentiate between the sand and shale lithologies. Overlay of sonic log and resistivity log was used to identify kerogen rich zones, and overlay of sonic log and derived pseudo-sonic log (derived from the cross-plot LogR and sonic log) was used to test for maturity of the potential source rock zones, Seismic attribute (RMS Amplitude) was used to check for generated hydrocarbon in the shales as part of the property of mature source rock is to contain hydrocarbon about to be migrated. Four major shales were studied and their petrophysical analysis revealed that two of the shales were kerogen-rich source rocks, while the others were kerogen-defficient, Attribute analysis showed the absence of generated hydrocarbon. The sonic-pseudosonic overlay and attribute analysis revealed that none of the studied shales is a matured source rock. This work has been able to prove that Agbada shales are not matured source rocks, but rather sealing the reservoir." @default.
- W2316619183 created "2016-06-24" @default.
- W2316619183 creator A5034494318 @default.
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- W2316619183 date "2014-08-05" @default.
- W2316619183 modified "2023-09-27" @default.
- W2316619183 title "Source rock analysis of the Agbada shales of Niger Delta basin, Nigeria, using well log data and attribute analysis" @default.
- W2316619183 cites W1995963722 @default.
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- W2316619183 doi "https://doi.org/10.1190/segam2014-0969.1" @default.
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