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Deep dive into net pay layers: An in-depth study in Abadan Plain, South Iran

This study focuses on the intricate process of discerning productive layers within reservoir formations, taking the Sarvak Formation as a primary case. The employed methodology combines geology, comprehensive log interpretations, and petrophysical analyses to facilitate the evaluation of these produ...

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Autores principales: Azadivash, Ahmad, Shabani, Mehdi, Mehdipour, Vali, Rabbani, Ahmadreza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10372216/
https://www.ncbi.nlm.nih.gov/pubmed/37519676
http://dx.doi.org/10.1016/j.heliyon.2023.e17204
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author Azadivash, Ahmad
Shabani, Mehdi
Mehdipour, Vali
Rabbani, Ahmadreza
author_facet Azadivash, Ahmad
Shabani, Mehdi
Mehdipour, Vali
Rabbani, Ahmadreza
author_sort Azadivash, Ahmad
collection PubMed
description This study focuses on the intricate process of discerning productive layers within reservoir formations, taking the Sarvak Formation as a primary case. The employed methodology combines geology, comprehensive log interpretations, and petrophysical analyses to facilitate the evaluation of these productive layers. Initially, routine well logs are interpreted to determine key petrophysical parameters such as shale content, porosity, and water saturation. Subsequently, core measurement results are utilized for calibrating these log interpretations. The study further determines cut-off values through a calculated method of 5% cumulative hydrocarbon volume against porosity, shale content, and water saturation. These cut-off values are then applied to the petrophysical results to enhance their reliability. To resolve any inconsistencies or uncertainties in petrophysical evaluation, petrographical analyses, including scanning electron microscope imaging and thin section studies, are employed. The Sarvak Formation is categorized into seven distinct subzones, each thoroughly investigated to ascertain their respective productivity potential. The final results illustrate a substantial heterogeneity within the Sarvak Formation, revealing a range of diagenetic processes including compaction, dissolution, and cementation. Despite this complexity, three subzones are identified as the most productive layers with the maximum net pay, demonstrating the efficacy of the integrated approach.
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spelling pubmed-103722162023-07-28 Deep dive into net pay layers: An in-depth study in Abadan Plain, South Iran Azadivash, Ahmad Shabani, Mehdi Mehdipour, Vali Rabbani, Ahmadreza Heliyon Research Article This study focuses on the intricate process of discerning productive layers within reservoir formations, taking the Sarvak Formation as a primary case. The employed methodology combines geology, comprehensive log interpretations, and petrophysical analyses to facilitate the evaluation of these productive layers. Initially, routine well logs are interpreted to determine key petrophysical parameters such as shale content, porosity, and water saturation. Subsequently, core measurement results are utilized for calibrating these log interpretations. The study further determines cut-off values through a calculated method of 5% cumulative hydrocarbon volume against porosity, shale content, and water saturation. These cut-off values are then applied to the petrophysical results to enhance their reliability. To resolve any inconsistencies or uncertainties in petrophysical evaluation, petrographical analyses, including scanning electron microscope imaging and thin section studies, are employed. The Sarvak Formation is categorized into seven distinct subzones, each thoroughly investigated to ascertain their respective productivity potential. The final results illustrate a substantial heterogeneity within the Sarvak Formation, revealing a range of diagenetic processes including compaction, dissolution, and cementation. Despite this complexity, three subzones are identified as the most productive layers with the maximum net pay, demonstrating the efficacy of the integrated approach. Elsevier 2023-06-10 /pmc/articles/PMC10372216/ /pubmed/37519676 http://dx.doi.org/10.1016/j.heliyon.2023.e17204 Text en © 2023 The Author https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Azadivash, Ahmad
Shabani, Mehdi
Mehdipour, Vali
Rabbani, Ahmadreza
Deep dive into net pay layers: An in-depth study in Abadan Plain, South Iran
title Deep dive into net pay layers: An in-depth study in Abadan Plain, South Iran
title_full Deep dive into net pay layers: An in-depth study in Abadan Plain, South Iran
title_fullStr Deep dive into net pay layers: An in-depth study in Abadan Plain, South Iran
title_full_unstemmed Deep dive into net pay layers: An in-depth study in Abadan Plain, South Iran
title_short Deep dive into net pay layers: An in-depth study in Abadan Plain, South Iran
title_sort deep dive into net pay layers: an in-depth study in abadan plain, south iran
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10372216/
https://www.ncbi.nlm.nih.gov/pubmed/37519676
http://dx.doi.org/10.1016/j.heliyon.2023.e17204
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