Method and system for process schedule reconciliation using algebraic model optimization

1. A computer-implemented method of process control and schedule reconciliation, comprising:

receiving by at least one digital processor a scheduling model formed of an initial schedule for reconciliation, the initial schedule having projected plant data;

importing current plant data into a model of a plant process;

processing the current plant data and projected plant data using mathematical modeling techniques that identify event boundaries, and stream flowrates and properties associated with tanks and process units, wherein the identified event boundaries may be calculated event boundaries from processing the current plant data;

building an optimization model that mathematically represents a schedule reconciliation problem of the plant process, the optimization model applying penalties for deviating from: (i) a trend defined by the identified event boundaries, (ii) and the identified stream flowrates, (ii) pre-determined constraints, and (iii) the initial schedule along a period of time that includes priority slots such that solving the optimization model results in a reconciled schedule that aligns projected plant data of a succeeding schedule to the initial schedule with the current plant data;

solving the optimization model to develop the reconciled schedule, the reconciled schedule, comprising a sequence of events, consistent with the identified event boundaries and the identified stream flowrates and providing a current event status, said importing, processing, building, and solving being automatically performed by the at least one digital processor;

automatically building a future schedule in computer memory, using the reconciled schedule; and

controlling the plant process using the built future schedule by automatically adjusting start time, stop time, and flow rates of tank to tank transfers and of operating modes of the process units.

2. The computer-implemented method of claim 1 wherein the pre-determined constraints include operation constraints.

3. The computer-implemented method of claim 1 wherein the pre-determined constraints include scheduling constraints.

4. The computer-implemented method of claim 1 wherein the pre-determined constraints are further applied across multiple periods.

5. The computer-implemented method of claim 4 wherein reconciling the projected plant data further includes determining the timing of the priority slots within period boundaries.

6. The computer-implemented method of claim 1 wherein processing further incudes using mathematical modeling techniques to identify event boundaries and stream flowrates to build the optimization model.

7. The computer-implemented method of claim 1 wherein the scheduling model and optimization model consist of different types of resources, including transportation modes, tanks, mixers, splitters and production units, that represent the corresponding resources in the refinery scheduling operations system.

8. A computer-based process modeling and simulation system, comprising:

a modeling subsystem executed by one or more digital processors automatically performing schedule reconciliation on a chemical process of a subject industrial plant, the modeling subsystem (i) receiving a scheduling model and an initial schedule for reconciliation, the initial schedule having projected plant data, (ii) importing current plant data into a model of the chemical process, (iii) processing the current plant data and projected plant data using mathematical modeling techniques to identify event boundaries and stream flowrates associated with tanks and process units, wherein the identified event boundaries may be calculated event boundaries from processing the current plant data (iv) building an optimization model that mathematically represents a schedule reconciliation problem of the chemical process, the optimization model applying penalties for deviating from the identified event boundaries, a trend defined by the identified stream flowrates, pre-determined constraints, and the initial schedule along a period of time that includes priority slots such that solving the optimization model results in a reconciled schedule that aligns projected plant data of a succeeding schedule to the initial schedule with the current plant data, and (v) solving the optimization model to develop the reconciled schedule comprising a sequence of events, the reconciled schedule consistent with the identified event boundaries and the identified stream flowrates and providing a current event status and;

an interface coupled to the modeling subsystem in a manner that enables improvements in performance of the chemical process at the subject industrial plant based on a future schedule, built using the reconciled schedule, that controls the chemical process by automatically adjusting start time, stop time, and flow rates of tank to tank transfers and of operating modes of the process units.

9. The computer-based process modeling and simulation system of claim 8 wherein the pre-determined constraints include operation constraints.

10. The computer-based process modeling and simulation system of claim 8 wherein the pre-determined constraints include scheduling constraints.

11. The computer-based process modeling and simulation system of claim 8 wherein the pre-determined constraints are further applied across multiple periods.

12. The computer-based process modeling and simulation system of claim 11 wherein reconciling the projected plant data further includes determining the timing of the priority slots within period boundaries.

13. The computer-based process modeling and simulation system of claim 8 wherein processing further incudes using mathematical modeling techniques to identify event boundaries and stream flowrates to build the optimization model.

14. The computer-based process modeling and simulation system of claim 8 wherein the scheduling model and optimization model consist of different types of resources, including transportation modes, tanks, mixers, and production units, that represent the corresponding resources in the refinery scheduling operations system.