OILFIELD ANALYSIS SYSTEM AND METHOD

• US 20080161942A1
• Filed: 12/20/2007
• Published: 07/03/2008
• Est. Priority Date: 12/27/2006
• Status: Active Grant

• Current Assignee: Schlumberger Technology Corporation (SLB)
• Original Assignee: Schlumberger Technology Corporation (SLB)
• Inventors: Gunnarshaug, Jo
• Granted Patent: US 8,244,471 B2
• Time in Patent Office: Days
• US Class Current: 700/35
• CPC Class Codes: E21B 41/00 Equipment or details not covered by groups E21B15/00 - E21B40/00
• CPC Class Codes: G06F 16/904 Browsing; Visualisation therefor for navigating the web G06F16/954; browsing optimisation for the web G06F16/957

Abstract

A system for analyzing an oilfield having at least one wellsite, each at least one wellsite having a wellbore penetrating a subterranean formation for extracting fluid from an underground reservoir therein, that includes a data collection means for obtaining source data having a plurality of data elements of heterogeneous data types, memory for storing the source data, a functional method configured to perform a function on a dataset of a dataset type to obtain a processed dataset, and a client code configured to process the dataset. The client code includes an object instantiation code configured to use a dataset wrapper class to create the dataset with the dataset type from the source data, and a functional method invocation code configured to call the functional method with the dataset.

Claims

1. A system for analyzing an oilfield having at least one wellsite, each at least one wellsite having a wellbore penetrating a subterranean formation for extracting fluid from an underground reservoir therein, comprising:

a data collection means for obtaining source data having a plurality of data elements of heterogeneous data types;

memory for storing the source data;

a functional method configured to perform a function on a dataset of a dataset type to obtain a processed dataset; and

a client code configured to process the dataset comprising;

an object instantiation code configured to use a dataset wrapper class to create the dataset with the dataset type from the source data; and

a functional method invocation code configured to call the functional method with the dataset.

2. The system of claim 1, wherein the dataset wrapper class comprises a transform function to transform the dataset.

3. The system of claim 1, wherein the dataset represents seismic data.

4. The system of claim 1, wherein the functional method is further configured to create a visualization of the dataset.

5. The system of claim 1, wherein the dataset wrapper class is configured to:

identify a cache mode of the dataset;

obtain a data element in the dataset from the cache based on the cache mode and an iterator used by the functional method; and

return the data element in the dataset to the functional method.

6. The system of claim 1, wherein the dataset wrapper class is further configured to store the plurality of data elements in the dataset in a modified order in a cache, wherein the dataset is processed from the cache after storing the plurality of data elements.

7. The system of claim 1, wherein the dataset wrapper class is defined for the dataset type.

8. The system of claim 1, wherein the iterator is one selected from a group consisting of a forward iterator, a backward iterator, a bidirectional iterator, and a random access iterator.

9. A method for analyzing an oilfield comprising:

defining a functional method for operating on a dataset of a dataset type;

obtaining source data having a first source data with data elements of a first data type and a second source data with data elements of a second data type;

creating the dataset with data elements from the first source data using a dataset wrapper class;

executing the functional method on the dataset with data elements from the first source data;

creating the dataset with data elements from the second source data using a dataset wrapper class; and

executing the functional method on the dataset with data elements from the second source data.

10. The method of claim 9, wherein creating the dataset comprises transforming each of a plurality of data elements in the dataset.

11. The method of claim 9, further comprising:

identifying a cache mode of the dataset with data elements from the first source data;

obtaining a data element in the dataset with data elements from the first source data from the cache based on the cache mode and an iterator used by the functional method; and

returning the data element in the dataset to the functional method.

12. The method of claim 9, wherein the functional method further comprises instructions for:

storing the data elements from the first source data in a modified order in a cache when creating the dataset with the data elements from the first source data, wherein the dataset is processed from the cache after storing the plurality of data elements; and

storing the data elements from the second source data in a modified order in a cache when creating the dataset with the data elements in the second source data, wherein the dataset is processed from the cache after storing the plurality of data elements.

13. The method of claim 9, wherein the dataset wrapper class is defined for the dataset type, and wherein the dataset wrapper class comprises a first constructor code for creating the dataset with data elements from the first source data and a second constructor code for creating the dataset with data elements from the second source data.

14. The method of claim 9, wherein the dataset represents seismic data.

15. The method of claim 9, wherein the functional method is configured to create a visualization of the dataset.

16. The method of claim 9 wherein executing the functional method uses an iterator and wherein the iterator is one selected from a group consisting of a forward iterator, a backward iterator, a bidirectional iterator, and a random access iterator.

17. A computer system comprising:

a processor;

memory coupled to the processor for storing source data having a plurality of data elements of heterogeneous data types;

a dataset wrapper class comprising;

an object constructor code configured to create a dataset of a dataset type from the source data; and

client code configured to process the dataset comprising;

an object instantiation code configured to use the object constructor code to create the dataset; and

a functional method invocation code configured to call a functional method with the dataset to obtain processed data.

18. The computer system of claim 17, wherein the dataset wrapper class further comprises instructions for:

identifying a cache mode of the dataset;

obtaining a data element in the dataset from the cache based on the cache mode and an iterator used by the functional method; and

returning the data element in the dataset to the functional method.

19. The computer system of claim 17, wherein the dataset wrapper class further comprises instructions for:

storing the plurality of data elements in the dataset in a modified order in a cache, wherein the dataset is processed from the cache after storing the plurality of data elements.

20. The computer system of claim 17, wherein the source data represents seismic data.

21. The computer system of claim 17, wherein the functional method is configured to create a visualization of the dataset.

22. The computer system of claim 17, wherein the functional method is configured to use an iterator defined in the dataset wrapper class and wherein the iterator is one selected from a group consisting of a forward iterator, a backward iterator, a bidirectional iterator, and a random access iterator.