SYSTEMS AND METHODS FOR CREATING A MODEL OF COMPOSITION FOR A COMPOSITE FORMED BY COMBINING A PLURALITY OF HYDROCARBON STREAMS

• US 20140343914A1
• Filed: 05/16/2013
• Published: 11/20/2014
• Est. Priority Date: 05/16/2013
• Status: Abandoned Application

• Current Assignee: ExxonMobil Research & Engineering Company (Exxon Mobil Corporation)
• Original Assignee: ExxonMobil Research & Engineering Company (Exxon Mobil Corporation)
• Inventors: SUNDARAM, Anantha, CHANG, Liang J, BHATTACHARYYA, Dilip, NAYSMITH, Matthew, JOE, David A, MEDCALF, Keith, SCHULTZ, David S
• Application Number:
  US13/895,688
• Publication Number:
  US 20140343914A1
• Time in Patent Office: Days
• US Class Current: 703/12
• CPC Class Codes: G06F 30/20 Design optimisation, verification or simulation optimisation, verification or simulation of circuit designs G06F30/30
• CPC Class Codes: G16C 20/20 Identification of molecular entities, parts thereof or of chemical compositions
• CPC Class Codes: G16C 20/30 Prediction of properties of chemical compounds, compositions or mixtures

Abstract

Systems and methods for creating a model of composition for a current composite created by combining a plurality of hydrocarbon streams. The method comprises receiving at least one primary data value related to the current composite, associating the at least one primary data value with a profile of the current composite, selecting a modeling scenario for the current composite using a hierarchy of modeling scenarios, and creating a model of composition for the current composite using at least one processor, The modeling scenario is selected based at least in part on a collection of primary data values associated with the profile of the current composite. The model of composition is created based at least in part on the modeling scenario and the collection of primary data values associated with the profile of the current composite. Systems of creating the model of composition are also disclosed.

Claims

1. A method for creating a model of composition for a current composite formed by combining a plurality of hydrocarbon streams, the method comprising:

receiving at least one primary data value related to the current composite;

associating the at least one primary data value with a profile of the current composite;

selecting, using a hierarchy of modeling scenarios, a modeling scenario for the current composite based at least in part on a collection of primary data values associated with the profile of the current composite; and

creating, using at least one processor, a model of composition for the current composite based at least in part on the modeling scenario and the collection of primary data values associated with the profile of the current composite.

2. The method of claim 1, wherein the at least one primary data value comprises data related to a property of the current composite.

3. The method of claim 2, wherein the property of the current composite comprises one of a density, a sulfur distribution, and a boiling point of the current composite.

4. The method of claim 1, wherein the at least one primary data value comprises data related to a composition of the current composite.

5. The method of claim 1, wherein the at least one primary data value comprises data related to a property of one of a plurality of hydrocarbon streams that form the current composite.

6. The method of claim 1, wherein the at least one primary data value is received from a producer of the current composite.

7. The method of claim 1, wherein receiving the at least one primary data value comprises receiving the at least one primary data value at a communication system.

8. The method of claim 7, wherein receiving the at least one primary data value further comprises extracting the at least one primary data value from a communication using an automatic extractor.

9. The method of claim 7, wherein the communication is formatted according to a customized communication protocol.

10. The method of claim 1, wherein the current composite comprises a synthetic crude.

11. The method of claim 1, further comprising capturing the at least one primary data value using a crude composition synchronizer.

12. The method of claim 1, wherein the at least one primary data value is associated with a time-stamp.

13. The method of claim 1, wherein the current composite is associated with an expected time of arrival.

14. The method of claim 1, further comprising obtaining wet-assay data.

15. The method of claim 14, wherein the wet-assay data is obtained from a refinery database.

16. The method of claim 14, wherein the wet-assay data is obtained from a third party database.

17. The method of claim 14, wherein the wet-assay data comprises wet-assay data of the current composite.

18. The method of claim 14, wherein the wet-assay data comprises wet-assay data of a close surrogate of the current composite.

19. The method of claim 1, wherein creating the model of composition comprises:

obtaining a crude component template for each of the plurality of hydrocarbon streams;

tuning each of the crude composition templates to match at least one property of each of the plurality of hydrocarbon streams; and

blending the crude component templates into a blended composition based on relative proportions of each of the plurality of hydrocarbon streams.

20. The method of claim 1, further comprising combining the model of composition with a plurality of previous models of composition to determine a model of composition for a tank.

21. The method of claim 1, further comprising adjusting the model of composition to match a data value measured at the refinery.

22. The method of claim 1, further comprising:

establishing a database comprising data related to at least one hydrocarbon composite,

wherein creating the model of composition for the current composite is based at least in part on the modeling scenario, the collection of primary data values associated with the profile of the current composite, and a supplemental data value from the database.

23. The method of claim 22, wherein the database comprises a plant crude database.

24. The method of claim 22, wherein the database comprises a lab test database.

25. The method of claim 22, wherein the database is located in a secure computing environment.

26. The method of claim 22, wherein the supplemental data value is related to a composite other than the current composite.

27. The method of claim 22, wherein the supplemental data value is related to the current composite.

28. The method of claim 22, wherein the supplemental data value comprises a data value related to a composite produced by the same supplier that produced the current composite.

29. The method of claim 22, wherein the supplemental data value comprises prior data.

30. The method of claim 22, wherein the supplemental data value comprises future data.

31. The method of claim 22, wherein creating the model of composition comprises:

obtaining a crude component template for each of the plurality of hydrocarbon streams;

tuning each of the crude component templates to match the supplemental data value;

blending the crude component templates into a blended composition based on relative proportions of each of the plurality of hydrocarbon streams; and

tuning the blended composition to match at least one property of the current composite.

32. The method of claim 22, wherein creating the model of composition comprises:

obtaining a crude component template for each of the plurality of hydrocarbon streams;

tuning each of the plurality of crude component templates to match at least one property of each of the plurality of hydrocarbon streams;

blending the crude component templates into a blended composition based on the supplemental data value; and

tuning the blended composition to match at least one property of the current composition.

33. The method of claim 22, wherein creating the model of composition comprises:

obtaining a crude component template for each of the plurality of hydrocarbon streams;

tuning each of the crude composition templates to match at least one property of each of the plurality of hydrocarbon streams;

blending the crude component templates into a blended composition based on relative proportions of each of the plurality of hydrocarbon streams; and

tuning the blended composition to match the supplemental data value.

34. A system for creating a model of composition for a current composite created by combining a plurality of hydrocarbon streams, the system comprising:

a communications system for receiving at least one primary data value related to the current composite;

at least one database for storing the at least one primary data value in association with a profile of the current composite, the at least one database further storing a hierarchy of modeling scenarios; and

at least one processor configured to

select, using the hierarchy of modeling scenarios, a modeling scenario for the current composition based at least in part on a collection of primary data values associated with the profile of the current composite; and

create a model of composition for the current composite based at least in part on the modeling scenario and the collection of primary data values associated with the profile of the current composite.