Development of an RSM-based predictive model for evaluation of corrosion efficiency of ATMP in one molar HCl for carbon steel samples-Reference-Cited by-同舟云学术

Development of an RSM-based predictive model for evaluation of corrosion efficiency of ATMP in one molar HCl for carbon steel samples

Published:2023-09-04 Issue: Volume: Page:1-19
ISSN:1091-6466
Container-title:Petroleum Science and Technology
language:en
Short-container-title:Petroleum Science and Technology

Author:

Ahmadi Soroush¹^ORCID,Khormali Azizollah²^ORCID

Affiliation:

1. Department of Chemical Engineering, Faculty of Engineering, Payame Noor University (PNU), Tehran, Iran

2. Department of Chemistry, Faculty of Basic Sciences and Engineering, Gonbad Kavous University, Gonbad-e Kavus, Iran

Publisher

Informa UK Limited

Subject

Geotechnical Engineering and Engineering Geology,Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering,General Chemistry

Link

https://www.tandfonline.com/doi/pdf/10.1080/10916466.2023.2253269

Reference33 articles.

1. Optimization of the demulsification of water-in-heavy crude oil emulsions using response surface methodology

2. Artificial neural network and response surface methodology for optimization of corrosion inhibition of mild steel in 1 M HCl by Musa paradisiaca peel extract

3. Cerium-based metal organic framework (Ce-MOF) as corrosion inhibitor for API 5L X65 steel in CO2- saturated brine solution: XPS, DFT/MD-simulation, and machine learning model prediction

4. Multidimensional insight into the corrosion inhibition of salbutamol drug molecule on mild steel in oilfield acidizing fluid: Experimental and computer aided modeling approach

5. Electrochemical-kinetics, MD-simulation and multi-input single-output (MISO) modeling using adaptive neuro-fuzzy inference system (ANFIS) prediction for dexamethasone drug as eco-friendly corrosion inhibitor for mild steel in 2 M HCl electrolyte

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