Hydraulic flow unit and rock types of the Asmari Formation in the Mansouri oilfield, an application of the Flow zone index and Fuzzy C-means clustering methods

Author:

Eftekhari Seyedeh Hajar1ORCID,Memariani Mahmoud1ORCID,Maleki Zahra1ORCID,Aleali Mohsen1ORCID,Kianoush Pooria2ORCID

Affiliation:

1. Department of Earth Sciences, Science and Research Branch, Islamic Azad University, Tehran, Iran

2. Department of Petroleum and Mining Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran

Abstract

Abstract Rock types are the reservoir's most essential properties for special facies modeling in a defined range of porosity and permeability. This study used the fuzzy c-means clustering technique to identify rock types in 280 core samples from one of the wells drilled in the Asmari reservoir in the Mansouri field, SW Iran. Four hydraulic flow units were determined for studied data after classifying the flow zone index with histogram analysis, normal probability analysis, and the sum of square error methods. Then two methods of flow zone index and fuzzy c-means clustering were used to determine the rock types in given wells according to the results obtained from the implementation of these two methods in-depth, and continuity index acts, the fuzzy c-means methods with continuity number 3.12 compared to flow zone index with continuity number 2.77 shows more continuity in depth. The relationship between permeability and porosity improved utilizing hydraulic flow unit techniques considerably. This improvement is achieved using the flow zone index method study. So that in the general case, all samples increased from 0.55 to 0.81 in the first hydraulic flow unit and finally 0.94 in the fourth hydraulic flow unit. The samples were characterized by similar flow properties in a hydraulic flow unit. In comparison, the obtained correlation coefficients in the fuzzy c-mean method are less than the general case in all hydraulic flow units. This study aims to determine the flowing fluid in the porous medium of the Asmari reservoir employing the c-mean fuzzy logic. Also, by determining the facies of the rock units, especially the siliceous-clastic facies and log data in the Asmari Formation, the third and fourth flow units have the best flow units with high reservoir quality and permeability. Results can compared to the flow unit determination in other nearby wellbores without cores.

Publisher

Research Square Platform LLC

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