Exxonmobil Research and Engineering Company

Joseph W Evans

Gary Robert Kocis

Philip H Warrick

Anantha Sundaram

Jayanth Balasubramanian

Victor P DePaola

George E Friedrich

Stephen R Bradshaw

Nicholas J Booker

Eric A Winkler

John M Righi

Henry F Demena

Katherine L Weiger

Ahmet B Keha

William A Docter

John D Terry

Anthony M Ciravolo

Kenneth H Tyner

Douglas B Doughty

Alison Cozad

Narendranath Y Gaitonde

David S Bergeson

Tools and methods are provided for supplementing an optimization solution for an objective function based on a model of one or more hydrocarbon refining and/or conversion and/or chemical production processes with supporting analysis. The supporting analysis can illustrate for a user how the nature of the feed(s) and/or the selected processing conditions and/or the quality of the product(s) contributes to the optimized solution. A user interface is also provided to facilitate viewing of the information by a user. The supporting analysis can allow a user to understand the factors in the optimized solution that contribute in a significant way.

Hydrocarbon processing analysis

A decision support tool to assist decision-making in the operation of a facility. The decision support tool allows a user to perform operational programming of the facility so that the analysis of specific operational events is flexible and 'on-demand.' This is achieved by allowing the user to set scope and timeframe of the analysis according to business needs. As a result, the organization can make better-informed judgments whether to add operational activities and how to adjust the ones already formulated in the program. The decision support tool can also allow for the application of strategies to communicate intent behind the programming instructions and to improve the quality of business decisions.

Operational programming of a facility

A decision support tool to assist decision-making in the operation of a facility. The decision support tool allows a user to perform planning and scheduling of the events within a facility so that established economic goals do not collide with feasibility of a schedule. This is achieved by flexible time modeling, which introduces a 'look-ahead' planning and scheduling technique. This technique analyzes several time periods of the schedule in light of upcoming dominant events, in order for each segment of the schedule to remain as consistent with the planning objectives as possible.

Flexible time modeling of a facility

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McLean, VA, United States of America

Joseph W Evans