{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,16]],"date-time":"2026-04-16T23:17:19Z","timestamp":1776381439609,"version":"3.51.2"},"reference-count":60,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2024,2,25]],"date-time":"2024-02-25T00:00:00Z","timestamp":1708819200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Minerals"],"abstract":"<jats:p>The crucial parameters influencing drilling operations, reservoir production behavior, and well completion are lithology and reservoir rock. This study identified optimal reservoir rocks and facies in 280 core samples from a drilled well in the Asmari reservoir of the Mansouri field in SW Iran to determine the number of hydraulic flow units. Reservoir samples were prepared, and their porosity and permeability were determined by measuring devices. The flow zone index (FZI) was calculated for each sample using MATLAB software; then, a histogram analysis was performed on the logarithmic data of the FZI, and the number of hydraulic flow units was determined based on the obtained normal distributions. Electrical facies were determined based on artificial neural network (ANN) and multi-resolution graph-based clustering (MRGC) approaches. Five electrical facies with dissimilar reservoir conditions and lithological compositions were ultimately specified. Based on described lithofacies, shale and sandstone in zones three and five demonstrated elevated reservoir quality. This study aimed to determine the Asmari reservoir\u2019s porous medium\u2019s flowing fluid according to the C-mean fuzzy logic method. Furthermore, the third and fourth flow units in the Asmari Formation have the best flow units with high reservoir quality and permeability due to determining the siliceous\u2013clastic facies of the rock units and log data. Outcomes could be corresponded to the flow unit determination in further nearby wellbores without cores.<\/jats:p>","DOI":"10.3390\/min14030233","type":"journal-article","created":{"date-parts":[[2024,2,26]],"date-time":"2024-02-26T06:50:23Z","timestamp":1708930223000},"page":"233","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":35,"title":["Employing Statistical Algorithms and Clustering Techniques to Assess Lithological Facies for Identifying Optimal Reservoir Rocks: A Case Study of the Mansouri Oilfields, SW Iran"],"prefix":"10.3390","volume":"14","author":[{"given":"Seyedeh Hajar","family":"Eftekhari","sequence":"first","affiliation":[{"name":"Department of Earth Sciences, Science and Research Branch, Islamic Azad University, Tehran 1477893855, Iran"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-9998-6232","authenticated-orcid":false,"given":"Mahmoud","family":"Memariani","sequence":"additional","affiliation":[{"name":"Department of Earth Sciences, Science and Research Branch, Islamic Azad University, Tehran 1477893855, Iran"}]},{"given":"Zahra","family":"Maleki","sequence":"additional","affiliation":[{"name":"Department of Earth Sciences, Science and Research Branch, Islamic Azad University, Tehran 1477893855, Iran"}]},{"given":"Mohsen","family":"Aleali","sequence":"additional","affiliation":[{"name":"Department of Earth Sciences, Science and Research Branch, Islamic Azad University, Tehran 1477893855, Iran"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8203-0585","authenticated-orcid":false,"given":"Pooria","family":"Kianoush","sequence":"additional","affiliation":[{"name":"Department of Petroleum and Mining Engineering, South Tehran Branch, Islamic Azad University, Tehran 1584743311, Iran"},{"name":"National Iranian Oil Company, Exploration Directorate (NIOC-EXP), Tehran 1994814695, Iran"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7756-3205","authenticated-orcid":false,"given":"Adel","family":"Shirazy","sequence":"additional","affiliation":[{"name":"Department of Mining Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran 1591634311, Iran"},{"name":"Geophysical Institute, Karlsruhe Institute of Technology (KIT), 76131 Karlsruhe, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7623-301X","authenticated-orcid":false,"given":"Aref","family":"Shirazi","sequence":"additional","affiliation":[{"name":"Department of Mining Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran 1591634311, Iran"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8783-5120","authenticated-orcid":false,"given":"Amin Beiranvand","family":"Pour","sequence":"additional","affiliation":[{"name":"Institute of Oceanography and Environment (INOS), Higher Institution Center of Excellence (HICoE) in Marine Science, University Malaysia Terengganu (UMT), Kuala Nerus 21030, Terengganu, Malaysia"}]}],"member":"1968","published-online":{"date-parts":[[2024,2,25]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Amaefule, J.O., Altunbay, M., Tiab, D., Kersey, D.G., and Keelan, D.K. 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