Predicting sand size distribution based on well logs of east Malaysia basins

Sand management is an integral part of petroleum production especially in brown fields. A big influence in sand control strategy is sand size distribution, which is not always accessible due to difficult and costly coring analysis. Hence, this paper aims to test the ability of selected numerical mod...

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Published in:IOP Conference Series: Earth and Environmental Science
Main Author: Geraman J.J.A.J.; Mat-Shayuti M.S.; Othman N.H.; Alias N.H.; Marpani F.; Tengku Mohd T.A.
Format: Conference paper
Language:English
Published: Institute of Physics 2023
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152963512&doi=10.1088%2f1755-1315%2f1151%2f1%2f012019&partnerID=40&md5=487b2954c1d3c97cc2537764cf11fd2c
id 2-s2.0-85152963512
spelling 2-s2.0-85152963512
Geraman J.J.A.J.; Mat-Shayuti M.S.; Othman N.H.; Alias N.H.; Marpani F.; Tengku Mohd T.A.
Predicting sand size distribution based on well logs of east Malaysia basins
2023
IOP Conference Series: Earth and Environmental Science
1151
1
10.1088/1755-1315/1151/1/012019
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152963512&doi=10.1088%2f1755-1315%2f1151%2f1%2f012019&partnerID=40&md5=487b2954c1d3c97cc2537764cf11fd2c
Sand management is an integral part of petroleum production especially in brown fields. A big influence in sand control strategy is sand size distribution, which is not always accessible due to difficult and costly coring analysis. Hence, this paper aims to test the ability of selected numerical models in predicting the sand size distribution based on well logs and reports. Three models were tested namely Krumbein and Monk, Berg, and Van Baaren, with the estimations later were compared with the actual data from the fields of Sabah and Sarawak located in East Malaysia basins. From the result, the model by Van Baaren showed the closest agreement with the actual data, with excellent accuracy for particle size close to 100 µm. This was followed by Berg, while Krumbein and Monk model displayed the least fitting. The models then were fine-tuned by introducing correction coefficients determined via numerical solver, and the calibrated formulas improved the accuracy by 12%. Despite more studies and refinement are required before this method can be proliferated, the result from this study indicates its huge potential. © 2023 American Institute of Physics Inc.. All rights reserved.
Institute of Physics
17551307
English
Conference paper
All Open Access; Gold Open Access
author Geraman J.J.A.J.; Mat-Shayuti M.S.; Othman N.H.; Alias N.H.; Marpani F.; Tengku Mohd T.A.
spellingShingle Geraman J.J.A.J.; Mat-Shayuti M.S.; Othman N.H.; Alias N.H.; Marpani F.; Tengku Mohd T.A.
Predicting sand size distribution based on well logs of east Malaysia basins
author_facet Geraman J.J.A.J.; Mat-Shayuti M.S.; Othman N.H.; Alias N.H.; Marpani F.; Tengku Mohd T.A.
author_sort Geraman J.J.A.J.; Mat-Shayuti M.S.; Othman N.H.; Alias N.H.; Marpani F.; Tengku Mohd T.A.
title Predicting sand size distribution based on well logs of east Malaysia basins
title_short Predicting sand size distribution based on well logs of east Malaysia basins
title_full Predicting sand size distribution based on well logs of east Malaysia basins
title_fullStr Predicting sand size distribution based on well logs of east Malaysia basins
title_full_unstemmed Predicting sand size distribution based on well logs of east Malaysia basins
title_sort Predicting sand size distribution based on well logs of east Malaysia basins
publishDate 2023
container_title IOP Conference Series: Earth and Environmental Science
container_volume 1151
container_issue 1
doi_str_mv 10.1088/1755-1315/1151/1/012019
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152963512&doi=10.1088%2f1755-1315%2f1151%2f1%2f012019&partnerID=40&md5=487b2954c1d3c97cc2537764cf11fd2c
description Sand management is an integral part of petroleum production especially in brown fields. A big influence in sand control strategy is sand size distribution, which is not always accessible due to difficult and costly coring analysis. Hence, this paper aims to test the ability of selected numerical models in predicting the sand size distribution based on well logs and reports. Three models were tested namely Krumbein and Monk, Berg, and Van Baaren, with the estimations later were compared with the actual data from the fields of Sabah and Sarawak located in East Malaysia basins. From the result, the model by Van Baaren showed the closest agreement with the actual data, with excellent accuracy for particle size close to 100 µm. This was followed by Berg, while Krumbein and Monk model displayed the least fitting. The models then were fine-tuned by introducing correction coefficients determined via numerical solver, and the calibrated formulas improved the accuracy by 12%. Despite more studies and refinement are required before this method can be proliferated, the result from this study indicates its huge potential. © 2023 American Institute of Physics Inc.. All rights reserved.
publisher Institute of Physics
issn 17551307
language English
format Conference paper
accesstype All Open Access; Gold Open Access
record_format scopus
collection Scopus
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