DATA SUBSCRIPTION

• US 20110258007A1
• Filed: 10/07/2010
• Published: 10/20/2011
• Est. Priority Date: 04/16/2010
• Status: Abandoned Application

• Current Assignee: Schlumberger Technology Corporation (SLB)
• Original Assignee: Schlumberger Technology Corporation (SLB)
• Inventors: Heggelund, Dag, Galinski, Paul
• Application Number:
  US12/900,048
• Publication Number:
  US 20110258007A1
• Time in Patent Office: Days
• US Class Current: 705/7.11
• CPC Class Codes: G06F 16/29 Geographical information databases
• CPC Class Codes: G06Q 10/00 Administration; Management
• CPC Class Codes: G06Q 10/063 Operations research, analysis or management

Abstract

A method for managing oil field data based on one or more subscription elements. The method includes receiving the subscription elements having an area of interest, one or more data types and one or more dataset requirements. The area of interest includes one or more geographical properties that correspond to the oil field data, and the dataset requirements define how the oil field data is to be presented. After receiving the subscription elements, the method sends the subscription elements to a database engine. The method then receives the oil field data from the database engine such that the oil field data corresponds to the subscription elements.

Claims

1. A method for managing oil field data based on one or more subscription elements, comprising:

receiving the subscription elements having an area of interest, one or more data types and one or more dataset requirements, wherein the area of interest comprises one or more geographical properties that correspond to the oil field data, and wherein the dataset requirements define how the oil field data is to be presented;

sending the subscription elements to a database engine; and

receiving the oil field data from the database engine, wherein the oil field data corresponds to the subscription elements.

2. The method of claim 1, wherein the area of interest further comprises a three-dimensional location of the oil field data.

3. The method of claim 2, wherein the area of interest further comprises a time dimension of the oil field data.

4. The method of claim 1, wherein the data types comprise raw log curves, work-station-ready log curves, production data, market picks, or combinations thereof.

5. The method of claim 1, wherein the dataset requirements comprise presenting the oil field data as production data per reservoir, normalized log curves, modified log curve names, spliced and de-spiked log curves, modified well names, perforated intervals, or combinations thereof.

6. The method of claim 1, further comprising sending one or more conditions to the database engine, wherein the conditions define when the database engine should send the oil field data.

7. The method of claim 6, wherein the oil field data is received according to the conditions.

8. The method of claim 1, wherein the oil field data is received in a format that corresponds with the dataset requirements.

9. A method for managing oil field data based on one or more subscription elements, comprising:

receiving the subscription elements having an area of interest, one or more data types and one or more dataset requirements, wherein the area of interest comprises one or more geographical properties that correspond to the oil field data, and wherein the dataset requirements define how the oil field data is to be presented;

identifying the oil field data that corresponds to the area of interest and the data types;

transforming the identified oil field data to one or more formats based on the dataset requirements; and

sending the transformed oil field data.

10. The method of claim 9, further comprising receiving one or more conditions that define when the oil field data should be sent.

11. The method of claim 10, wherein sending the transformed oil field data comprises sending the transformed oil field data when the identified oil field data differs from a previous version of the oil field data by a predetermined percentage.

12. The method of claim 9, wherein the identified oil field data is transformed using one or more smart data objects that provide one or more rules and one or more procedures for transforming the identified oil field data into the formats.

13. The method of claim 12, wherein the smart data objects comprise a unique resource identity, a dynamic object component, a set of input arguments, a set of dependent objects or combinations thereof.

14. The method of claim 9, wherein identifying the oil field data comprises crawling through one or more data sources for oil field data that are located in the area of interest and correspond to the data types.

15. The method of claim 14, further comprising building a metadata index for each data source, wherein the metadata index comprises information pertaining to the data sources and one or more data in the data sources.

16. The method of claim 14, further comprising:

detecting one or more changes in the oil field data in the data sources; and

storing the changes in a data audit module.

17. The method of claim 16, wherein the data audit module creates an audit trail of the changes.

18. The method of claim 16, further comprising:

detecting one or more defects in the changes; and

automatically correcting the defects.

19. The method of claim 18, wherein the defects are detected in a data quality layer.

20. The method of claim 14, further comprising normalizing the identified oil field data based on the data sources.

21. The method of claim 9, wherein the identified oil field data is transformed by:

changing a set of perforations to a perforation interval;

changing a set of log curves to a deviation survey;

changing a set of log curves to a set of marker picks;

changing a collection of the oil field data to a single oil field datum;

changing a hierarchy of the oil field data;

or

combinations thereof.

22. A system, comprising:

a processor; and

a memory comprising program instructions executable by the processor to;

receive the subscription elements comprising an area of interest, one or more data types and one or more dataset requirements, wherein the area of interest comprises one or more geographical properties that correspond to the oil field data, and wherein the dataset requirements define how the oil field data is to be presented;

send the subscription elements to a database engine;

send one or more conditions to the database engine, wherein the conditions define when the database engine should send the oil field data; and

receive the oil field data from the database engine, wherein the oil field data corresponds to the subscription elements and the conditions.