eprintid: 20652
rev_number: 3
eprint_status: archive
userid: 1
dir: disk0/00/02/06/52
datestamp: 2026-07-21 06:29:35
lastmod: 2026-07-21 06:29:35
status_changed: 2026-07-21 06:29:35
type: article
metadata_visibility: show
creators_name: Asfha, Dejen Teklu
creators_name: Latiff, Abdul Halim Abdul
creators_name: Otchere, Daniel Asante
creators_name: Tackie-Otoo, Bennet Nii
creators_name: Babikir, Ismailalwali
creators_name: Rafi, Muhammad
creators_name: Riyadi, Zaky Ahmad
creators_name: Putra, Ahmad Dedi
creators_name: Adeniyi, Bamidele Abdulhakeem
title: Mechanisms of sand production, prediction�a review and the potential for fiber optic technology and machine learning in monitoring
ispublished: pub
note: Cited by: 34; All Open Access; Gold Open Access
date: 2024
publisher: Springer Science and Business Media Deutschland GmbH
official_url: https://www.scopus.com/pages/publications/105005991112?origin=resultslist
id_number: 10.1007/s13202-024-01860-1
full_text_status: none
publication: Journal of Petroleum Exploration and Production Technology
volume: 14
number: 10
pagerange: 2577 - 2616
refereed: TRUE
issn: 21900558
citation:   Asfha, Dejen Teklu and Latiff, Abdul Halim Abdul and Otchere, Daniel Asante and Tackie-Otoo, Bennet Nii and Babikir, Ismailalwali and Rafi, Muhammad and Riyadi, Zaky Ahmad and Putra, Ahmad Dedi and Adeniyi, Bamidele Abdulhakeem  (2024) Mechanisms of sand production, prediction�a review and the potential for fiber optic technology and machine learning in monitoring.  Journal of Petroleum Exploration and Production Technology, 14 (10).  2577 - 2616.  ISSN 21900558