Method and system for assessing and optimizing crude selection

US7966331B2 · kind B2 · utility

Assignee

• General Electric Company · US

Inventors

• Martha Gardner · Niskayuna, US
• Rajesh Tyagi · Niskayuna, US
• Thomas Paul Repoff · Sprakers, US
• Abhinanda Sarkar · Shadnagar, IN
• Angshuman Saha · Sunnyvale, US
• Shirley Au · Readington, US
• Roy Robert George Wilson · Ottawa, CA
• Malcolm Craig Winslow · Houston, US
• Michael Dion · Doylestown, US

Key dates

• Filing date: Aug 18, 2003
• Grant date: Jun 21, 2011
• Expiry date: Apr 1, 2028

Classification

• Technology area (CPC G): Physics
• CPC primary: G06Q40/08
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

Abstract

A method and system for assessing and optimizing crude selection are provided. A predictive engine uses data from a database to execute at least one predictive performance model and/or at least one risk assessment model designed to optimize or improve refining operations during a refining process. The predictive engine takes as input key crude information corresponding to a particular crude or crude blend, e.g., at least one crude slate, and refinery operating parameters and/or conditions corresponding to a specific refinery and uses desirability metrics to assess the similarity to data in the database. Based on the resulting output, at least one predictive performance and/or at least one risk assessment model uses the output to predict performance or risk measures of refining the particular crude or crude blend using the specific refinery during the refining process, the probability of problems occurring during the refining process, the distribution of the problems throughout the refining process, etc.