Using well logging data to predict permeability of a complex formation
by Fadhil Sarhan Kadhim; Ariffin Samsuri; Ahmad Kamal Idris
International Journal of Petroleum Engineering (IJPE), Vol. 3, No. 1, 2017

Abstract: One of the most challenging aspects of well log analysis is the accurate estimation of permeability in complex carbonate reservoirs. Permeability is predicted from many models by using well log data. Many correlations are developed over the years to calculate permeability based on known petrophysical properties or empirically derived relationships. The complex formation under study is Mishrif carbonate formation that is one of the shallowest hydrocarbons bearing zone in the Nasiriya oil field in the south of Iraq. The available scanned copies of well logs are digitalised by using Neurolog software. Schlumberger charts 2005 had been used for environmental corrections. These correction charts are supplied in the Interactive Petrophysics software. The Schlumberger K3 and Timur models have been used to estimate permeability of Mishrif carbonate formation. After making the environmental corrections, the porosity interpretation shows that the logging tools have a good quality of data reading. From Schlumberger and Timur models, the permeability of Mishrif formation is ranged from 6.25 to 25.21 and 5.95 to 26.81 respectively. This study was provided permeability with depth that is very important in the evaluation of the studied formation.

Online publication date: Wed, 03-Jan-2018

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