Patent ID: 11898109
Assignee: MARATHON PETROLEUM COMPANY LP
Field: Basic materials chemistry (Chemistry)
Classification: CPC C  G | IPC C  G

Claim 11:
12. The method of claim 11, wherein the analytical cracking model comprises a machine-learning-trained model, and the method further comprises:
(i) supplying, to the analytical cracking model, catalytic cracking processing data related to one or more of:
(a) material data comprising one or more of:
feedstock data indicative of one or more hydrocarbon feedstock properties associated with the hydrocarbon feedstock,
CFH material data indicative of one or more CFH unit material properties associated with the CFH unit material,
unit material data indicative of one or more unit material properties associated with the one or more unit materials, or
downstream material data indicative of one or more downstream material properties associated with one or more downstream materials produced by the one or more second processing units, or

(b) processing assembly data comprising one or more of:
CFH processing unit data indicative of one or more operating parameters associated with operation of the CFH processing unit,
first processing unit data indicative of one or more operating parameters associated with operation of the one or more first processing units,
second processing unit data indicative of one or more operating parameters associated with operation of the one or more second processing units, or
conditioning assembly data indicative of operation of a sample conditioning assembly configured to one or more of control a sample temperature of a material sample, remove particulates from the material sample, dilute the material sample in solvent, or degas the material sample, and

(ii) prescriptively controlling, based at least in part on the catalytic cracking processing data, one or more of:
(a) one or more hydrocarbon feedstock properties associated with the hydrocarbon feedstock,
(b) one or more CFH unit material properties associated with the CFH unit material,
(c) one or more CFH operating parameters associated with operating the CFH processing unit,
(d) one or more first operating parameters associated with operation of the one or more first processing units,
(e) the one or more unit material properties associated with the one or more unit materials,
(f) the one or more intermediates properties associated with the one or more intermediate materials,
(g) one or more second operating parameters associated with operation of the one or more second processing units positioned downstream relative to the one or more first processing units,
(h) one or more downstream properties associated with the one or more downstream materials produced by the one or more second processing units, or
(i) one or more sample conditioning assembly operating parameters associated with operation of the sample conditioning assembly.