Electro-facies determined based on sedimentary facies and rock types using clustering methods, wire-line logs and core data in the Kangan and Dalan Formations, Southern Pars gas field

رخساره‌های رسوبی

Article 2, Volume 7, Issue 2, November 2014, Pages 178-195   

Document Type: مقالات پژوهشی

DOI: 10.22067/sed.facies.v7i2.23589

Authors

Hasan Bagheri^{* 1}; Farhad Khoshbakht²; Leila Fazli¹

¹Islamic Azad University, Damavand Branch

²Research Institute of Petroleum Industry

Abstract

Electro-facies is a unit of the vertical sediments sequence on the wire-line logs that can be differentiated from the upper and lower units. For detection of the electro-facies interval in Kangan and upper Dalan formations in south Pars Gas Field, wire-line log and core data analysis (wells A, B, C and D) were used. Note, only core data analysis in well A were available. First, thin-Sections study core plugs from this well resulted in the identification of 12 micro-facies and 7 sedimentary environment. For recognition of electro-fasies based on these data, clustering method and core data were used to categories their homogenization of data. In this study, Rock-Types (R-T) that have similar reservoir characteristics were identified using porosity/permeability cross plot from core data; therefore based on these data, 6 Rock-Type were identified. After classification of Rock-Types and micro-facies from the core data, MRGC models of these facies were identified from the wire-line logs in well A. Optimized model in well A were applied in the wells B, C and D to recognized electro-fasies in these wells with no-core data. Average petro-physical properties of each facies in different wells were compared for quality controls of predicted facies. Also facies of 4 wells were correlated to see if they are comparable. As a result, 6 electro-facies were identified with different petro-physical characteristics and the poorest reservoir quality belong to the facies (1) with dominant anhydrite lithology and the best quality reservoir belong to the facies (6) with the dominant dolomite and limetone with grainstone textue. Due to the high accuracy of the results, the suggested model can be used in other wells in this field.

Keywords

Electro-facies; sedimentary facies; Clustering; MRGC method; wire-line logs

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