eprintid: 16829
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/68/29
datestamp: 2023-12-19 03:23:20
lastmod: 2023-12-19 03:23:20
status_changed: 2023-12-19 03:06:58
type: conference_item
metadata_visibility: show
creators_name: Irfan, S.A.
creators_name: Abdulkareem, F.A.
creators_name: Radman, A.
creators_name: Faugere, G.
creators_name: Padmanabhan, E.
title: Artificial neural network (ANN) modeling for CO2 adsorption on Marcellus Shale
ispublished: pub
note: cited By 3; Conference of 2nd International Conference on Earth Resources 2020, ICER 2020 ; Conference Date: 13 July 2021 Through 15 July 2021; Conference Code:178997
abstract: In this work, artificial neural network modeling for CO2 adsorption on various types of Marcellus shale samples is studied. The eight shale geometries are investigated for their CO2 adsorption at 298k and up to 50bar pressure utilizing a gravimetric technique and magnetic suspension balance. ANN modelling was applied to investigate three main objectives which are the impact of various training algorithms, various data initiation points, and altered training/validating ratios and number of neurons required for ANN model. The work can provide insightful knowledge linked to the impact of each of the studied parameters which play an important role in ANN modeling and training algorithms. The outcomes can provide an optimized matrix for unconventional resources, enhanced gas and oil recovery applications intend to apply the artificial intelligence modeling in their assessments. © Published under licence by IOP Publishing Ltd.
date: 2022
publisher: Institute of Physics
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129877760&doi=10.1088%2f1755-1315%2f1003%2f1%2f012029&partnerID=40&md5=48b0c3acec8c435d046f3c75848e3e7b
id_number: 10.1088/1755-1315/1003/1/012029
full_text_status: none
publication: IOP Conference Series: Earth and Environmental Science
volume: 1003
number: 1
refereed: TRUE
issn: 17551307
citation:   Irfan, S.A. and Abdulkareem, F.A. and Radman, A. and Faugere, G. and Padmanabhan, E.  (2022) Artificial neural network (ANN) modeling for CO2 adsorption on Marcellus Shale.  In: UNSPECIFIED.