Journal of Earth Energy Science, Engineering, and Technology
Vol. 7 No. 2 (2024): JEESET VOL. 7 NO. 2 2024

Modeling of Shrimp Chitosan Polymer Adsorption Using Artificial Neural Network

Fathaddin, Muhammad Taufiq (Unknown)
Mardiana, Dwi Atty (Unknown)
Sutiadi, Andrian (Unknown)
Maulida, Fajri (Unknown)
Ulfah, Baiq Maulinda (Unknown)



Article Info

Publish Date
07 Oct 2024

Abstract

One phenomenon that can occur when a polymer solution is injected into an oil reservoir is adsorption. Adsorption occurs due to interactions between polymer molecules and the reservoir pore surface. Adsorption causes some polymer molecules to be removed from solution. So, this process results in a reduction in the polymer concentration in the solution. In this study, an artificial neural network (ANN) model is used to estimate the adsorption of shrimp chitosan polymer on the surface of 40 mesh and 60 mesh sand grains. The ANN model can estimate adsorption more accurately than previous models. This is because previous models only predicted certain adsorption patterns, while the ANN model is able to predict adsorption with complex relationships. The comparison of the mean absolute relative errors (MAREs) of the ANN, Langmuir, Freundlich, Henry, and Harkins-Jura models is 5.7%, 15.9%, 14.6%, 15.2%, and 14.5%, respectively.

Copyrights © 2024






Journal Info

Abbrev

jeeset

Publisher

Subject

Energy

Description

This journal intends to be of interest and utility to researchers and practitioners in the academic, industrial, and governmental ...