Systems and methods for predicting one or more parameters of petroleum coke based on one or more parameters of an associated coke production system
AssigneeBP Corporation North America Inc.
InventorsElizabeth Davis, Barbara Cramer, Richard E. Johnson, Corey Vannoy
Life of this patent
Estimating the term…
Abstract
A computer-implemented method for predicting one or more parameters of calcinated coke produced by a coke production system includes acquiring data indicative of at least one of one or more feedstock properties, one or more coke heating properties, or one or more coke storage properties, inputting the acquired data into a coke predictive model, and providing by the coke predictive model one or more predicted coke parameters corresponding to a feedstock received by the coke production system and based on the acquired data.
Claims20
A computer-implemented method for predicting one or more parameters of calcinated coke produced by a coke production system, the method comprising:
- (a) acquiring data indicative of at least one of one or more feedstock properties, one or more coke heating properties, or one or more coke storage properties;
- (b) inputting the acquired data into a coke predictive model;
- and
- (c) providing by the coke predictive model one or more predicted coke parameters corresponding to a feedstock received by the coke production system and based on the acquired data.
A computer-implemented method for predicting one or more parameters of calcinated coke produced by a coke production system, the method comprising:
- (a) acquiring data indicative of at least one of one or more feedstock properties, one or more coke heating properties, or one or more coke storage properties;
- (b) inputting the acquired data into a trained machine learning model;
- and
- (c) providing by the trained machine learning model one or more predicted coke parameters corresponding to a feedstock received by the coke production system and based on the acquired data.
A system comprising:
- one or more processors;
- and
- a storage device coupled to the one or more processors, the storage device configured to store instructions that, when executed by the one or more processors, configure the one or more processors to:
- (a) acquire data indicative of at least one of one or more feedstock properties, one or more coke heating properties, or one or more coke storage properties;
- (b) input the acquired data into a coke predictive model;
- and
- (c) provide by the coke predictive model one or more predicted coke parameters corresponding to a feedstock received by a coke production system and based on the acquired data.
Dependencies are inferred from the claim text.