Scheduling and dispatching operational activities in a production environment

1. Operations Scheduling and Dispatching Model Simulate Optimize

2. Oil & Gas Fields Are Factories

3. There Are Many Activities in an Oil Field These activities have to be efficiently scheduled and dispatched to maintain profitability. Simulation of operational processes can intelligently use real-time data to achieve optimization.

5. Temperature

6. Volume

7. Pump Strokes

8. FlowA Data Warehouse keeps and maintains appropriate historical data.

10. Services Required

11. Alarm Levels

12. Parameter Ranges

14. Policies

15. Processes

16. Workflow

17. Uncertainties

18. Risks

20. What are the economic objectives

21. What are the metrics being used

22. Are there competing goals

23. What are the priorities

25. Hidden dependencies and relationshipsData Mining

26. From the Model a Simulator is Built It is often very beneficial to play out the results of the Simulator in time to get a better feel for its outcomes. Once fully integrated the simulator can forecast many possible futures that may result from actions that are taken or events that happen. Simulated Schedule Analyzer Visualizer The Simulator reviews the data passed to it and determines what is to be done. It then schedules the activities according to the model and determines the predicted performance outcome. Real-Time Data Information The Simulator is basically the Model turned into a computer algorithm. It can simulate the operations workflow taking into account the decision processes used by the Experts. Model Simulator Knowledge The Simulator can very quickly run many different schedules and their resulting performance predictions using different scenarios. Optimizer Objective Function An Optimizer can be used to generate thousands of schedules, using the simulator to evaluate each one in order to find better and better schedules. Data Mining

27. Schedule is Reviewed and Approved Callouts Callouts or Break-ins which result from an unanticipated event are high priority. A database of metrics is produced from the schedule – capital cost, production, etc. – allowing Operations to assess the tradeoffs presented by the rules. Actual tasks and activities scheduled Simulated Schedule The simulated schedule is reviewed to make sure it is doable. Once approved it is dispatched for implementation. Model Simulator Metrics Actual tasks and activities performed Knowledge Feedback to the Model and Simulator as to what really happened can be factored in. Optimizer Objective Function When the Simulator is used as an operational tool, actual results are fed back into the Model and new schedules are generated.

28. Operations Scheduling and Dispatching Callouts Analyzer Visualizer Simulated Schedule Real-Time Data Information Model Simulator Metrics Knowledge Optimizer Objective Function Data Mining