Methods and systems for producing fuel compositions

An automated method of making a gasoline having a maximum Reid Vapor Pressure of 10 psi, comprising:

• identifying one or more predetermined properties of the gasoline;
• charging one or more hydrocarbon feedstock, one or more oxygenate feedstock, and one or more additives into a blending tank to make a gasoline mixture, each of the one or more hydrocarbon feedstock, one or more oxygenate feedstock, and one or more additive feed having a charge rate;
• determining one or more current properties of the gasoline mixture in the blending tank, the one or more current properties of the gasoline mixture corresponding to the one or more predetermined properties of the gasoline;
• determining amounts of each of the one or more hydrocarbon feedstock the one or more oxygenate feedstock, and the one or more additives charged into the blending tank to make the gasoline mixture;
• comparing the predetermined properties of the gasoline with the current properties of the gasoline mixture;
• and
• adjusting the charge rate of at least one of the one or more hydrocarbon feedstocks, one or more oxygenate feedstocks, and one or more additives into the blending tank in response to the amounts of each of the one or more hydrocarbon feedstock, the one or more oxygenate feedstock, and the one or more additives charged into the blending tank and comparing the predetermined properties and the current properties to provide the gasoline having a maximum Reid Vapor Pressure of 10 psi, wherein adjusting the charge rate is performed using a trained neural network, the trained neural network operative to determine adjustments to the charge rate of at least one of the one or more hydrocarbon feedstocks, one or more oxygenate feedstocks, and one or more additives into the blending tank based upon the current properties of the fuel composition mixture.

An automated method of making a reformulated gasoline having a maximum Reid Vapor Pressure of 10 psi, comprising:

• identifying one or more predetermined properties of the reformulated gasoline;
• charging one or more hydrocarbon feedstock, an ethanol feedstock, and one or more additives into a blending tank to make a reformulated gasoline mixture, each of the one or more hydrocarbon feedstock, the ethanol feedstock, and one or more additive feed having a charge rate;
• determining amounts of each of the one or more hydrocarbon feedstock the ethanol feedstock, and the one or more additives charged into the blending tank to make the reformulated gasoline mixture;
• determining one or more current properties of the reformulated gasoline mixture in the blending tank, the one or more current properties of the reformulated gasoline mixture corresponding to the one or more predetermined properties of the reformulated gasoline;
• comparing the predetermined properties of the reformulated gasoline with the current properties of the reformulated gasoline mixture;
• and
• adjusting the charge rate of at least one of the one or more hydrocarbon feedstocks, the ethanol feedstock, and one or more additives into the blending tank in response to the amounts of each of the one or more hydrocarbon feedstock, the ethanol feedstock, and the one or more additives charged into the blending tank and comparing the predetermined properties and the current properties to provide the reformulated gasoline having a maximum Reid Vapor Pressure of 10 psi, wherein adjusting the charge rate is performed using a trained neural network, the trained neural network operative to determine adjustments to the charge rate of at least one of the one or more hydrocarbon feedstocks, the ethanol feedstock, and one or more additives into the blending tank based upon the current properties of the fuel composition mixture.