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Abstract The aim of this work is to develop an artificial neural network model to simulate fuel gas production from low-grade residual oil. Effect of operating conditions on the fuel… Click to show full abstract
Abstract The aim of this work is to develop an artificial neural network model to simulate fuel gas production from low-grade residual oil. Effect of operating conditions on the fuel gas composition and performance parameters was studied. The model was validated against the experimental data and found to be in a good agreement. Since oxygen ratio increase improves the nature of water-gas reaction, increased oxygen content moved the reaction toward products and as a result CO and H2 increased. Increased ER highly increased the CO2 and highly decreased CH4, CO and H2 because increased ER means the movement of the process towards combustion.
Journal Title: Petroleum Science and Technology
Year Published: 2019
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