Neural network modelling of high pressure CO2 corrosion in pipeline steels

Author:

Abbas Muhammad Hashim,Norman Rosemary,Charles Alasdair

Publisher

Elsevier BV

Subject

Safety, Risk, Reliability and Quality,General Chemical Engineering,Environmental Chemistry,Environmental Engineering

Reference40 articles.

1. Abbas, M.H. (2016). Modelling CO2 corrosion of pipeline steels, PhD Thesis, University of Newcastle upon Tyne, School of Marine Science and Technology, Newcastle upon Tyne, Chapter 1. pp. 2, 3.

2. Evaluation of multivariate linear regression and artificial neural networks in prediction of water quality parameters;Abyaneh;J. Enviro. Health Sci. Eng.,2014

3. Neural Network Toolbox User’s Guide R2014b;Beale,2014

4. Corrosion Behavior of Carbon Steel in Supercritical CO2-Water Environments;Choi,2009

5. Determining the corrosive potential of CO2 transport pipeline in high pCO2-Water environments;Choi;Int. J. Greenh. Gas Control,2011

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