Work

Modeling of Shrimp Chitosan Polymer Adsorption Using Artificial Neural Network

Year: 2024

Type: article

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.

Source: Journal of Earth Energy Science Engineering and Technology

DOI: 10.25105/jeeset.v7i2.21134

Authors: Muhammad Taufiq Fathaddin, Dwi Atty Mardiana, Andrian Sutiadi, Fajri Maulida, Baiq Maulinda Ulfah

Institutions: Universitas Trisakti, Sekolah Tinggi Teknologi Migas

Language: English

Topic: Enhanced Oil Recovery Techniques

Subfield: Ocean Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4404393256

FWCI: 0.523

Cites:

Cited by: 3

Related to: 10