SYSTEM, METHOD AND COMPUTER PROGRAM PRODUCT FOR SMART GROUPING OF SEISMIC INTERPRETATION DATA IN INVENTORY TREES BASED ON PROCESSING HISTORY

• US 20160097880A1
• Filed: 06/28/2013
• Published: 04/07/2016
• Est. Priority Date: 06/28/2013
• Status: Active Grant

• Current Assignee: Landmark Graphics Corporation (Halliburton Company)
• Original Assignee: Landmark Graphics Corporation (Halliburton Company)
• Inventors: Nguyen, Nam Xuan, Kilgore, Duane Dargan
• Granted Patent: US 10,145,984 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G01V 20/00 Geomodelling in general
• CPC Class Codes: G06F 16/2246 Trees, e.g. B+trees
• CPC Class Codes: G06F 16/287 Visualization; Browsing
• CPC Class Codes: G06F 16/444 Spatial browsing, e.g. 2D maps, 3D or virtual spaces

Abstract

A system and method to intelligently group seismic interpretation data, retrieved from an interpretation workflow, in an inventory tree based upon processing history records automatically captured during generation of volume and horizon datasets. As new volume and horizon datasets are created during the interpretation workflow, the relationships between the datasets are stored within system records. Inventory trees are then generated and/or updated based upon these records to intuitively display the relationships between the volume and horizon datasets.

Claims

1. A computer-implemented method to intelligently group seismic interpretation data in an inventory tree based on processing history, the method comprising:

generating a seismic interpretation model of a hydrocarbon reservoir, the seismic interpretation model comprising seismic volume and horizon datasets;

selecting an input dataset within the seismic interpretation model;

performing an operation on the input dataset to thereby generate an output dataset;

generating a record of the performed operation, the record also reflecting a relationship between the input and output datasets; and

utilizing the record to generate an inventory tree comprising;

the input dataset;

the output dataset; and

the relationship between the input and output datasets.

2. The computer-implemented method as defined in claim 1, wherein:

the input dataset is a two or three dimensional volume dataset; and

the output dataset is at least one of;

a two or three dimensional volume dataset;

or

a horizon dataset representing a stratigraphic layer along the hydrocarbon reservoir, wherein the inventory tree comprises the relationship between the volume dataset and the output dataset.

3. The computer-implemented method as defined in claim 1, wherein the input or output datasets comprise:

a two or three dimensional volume dataset;

or

a horizon dataset that represents a stratigraphic layer along the hydrocarbon reservoir.

4. The computer-implemented method as defined in claim 3, wherein generating the inventory tree further comprises grouping the input and output datasets in a fashion such that a parent horizon dataset is followed by a parent volume dataset, the parent volume dataset then being followed by a child horizon dataset, thereby reflecting the relationship between the input and output datasets.

5. The computer-implemented method as defined in claim 1, wherein a plurality of output datasets are generated from within the input dataset, the inventory tree displaying the plurality of output datasets in alphabetical order.

6. The computer-implemented method as defined in claim 1, wherein the relationship between the input and output datasets comprises at least one of:

the operation performed on the input dataset;

or

the input dataset utilized to generate the output dataset.

7. The computer-implemented method as defined in claim 1, wherein selecting the input dataset further comprises selecting an area of interest within the input dataset as the input dataset.

8. The computer-implemented method as defined in claim 1, wherein performing the operation on the input dataset comprises performing at least one of an amplitude, phase or frequency analysis of the input dataset.

9. The computer-implemented method as defined in claim 1, further comprising:

updating the record each time an operation is performed on an input dataset; and

updating the inventory tree based upon the updated record.

10. A system comprising:

at least one processor; and

a memory coupled to the processor, the memory storing instructions, which when executed by the processor cause the processor to;

generate a seismic interpretation model of a hydrocarbon reservoir, the seismic interpretation model comprising seismic volume and horizon datasets;

select an input dataset within the seismic interpretation model;

perform an operation on the input dataset to thereby generate an output dataset;

generate a record of the performed operation, the record also reflecting a relationship between the input and output datasets based on the operation performed on the input dataset to generate the output dataset; and

utilize the record to generate an inventory tree including the input dataset, the output dataset, and the relationship between the input and output datasets.

12. The system of claim 10, wherein the input or output datasets comprise:

a two or three dimensional volume dataset;

or

a horizon dataset that represents a stratigraphic layer along the hydrocarbon reservoir.

13. The system of claim 12, wherein the inventory tree is generated by grouping the input and output datasets in a fashion such that a parent horizon dataset is followed by a parent volume dataset, the parent volume dataset then being followed by a child horizon dataset, thereby reflecting the relationship between the input and output datasets.

14. The system of claim 10, wherein a plurality of output datasets are generated from within the input dataset, and the inventory tree displays the plurality of output datasets in alphabetical order.

15. The system of claim 10, wherein the operation performed on the input dataset includes at least one of an amplitude, phase or frequency analysis of the input dataset.

16. The system of claim 10, wherein the instructions, when executed by the processor, further cause the processor to:

update the record each time an operation is performed on an input dataset; and

update the inventory tree based upon the updated record.

11. A non-transitory computer-readable storage medium comprising instructions stored therein, which, when executed by at least one processor, causes the processor to perform a plurality of operations, including operations to:

generate a seismic interpretation model of a hydrocarbon reservoir, the seismic interpretation model comprising seismic volume and horizon datasets;

select an input dataset within the seismic interpretation model;

perform an operation on the input dataset to thereby generate an output dataset;

generate a record of the performed operation, the record also reflecting at least one relationship between the input and output datasets, the relationship including at least one of the input dataset that is selected or the operation that is performed on the input dataset to generate the output dataset; and

utilize the record to generate an inventory tree including the input dataset, the output dataset, and the relationship between the input and output datasets,

wherein the record and the inventory tree are updated each time an operation is performed on an input dataset.

17. The computer-readable storage medium of claim 11, wherein the input or output datasets comprise:

a two or three dimensional volume dataset;

or

a horizon dataset that represents a stratigraphic layer along the hydrocarbon reservoir.

18. The computer-readable storage medium of claim 17, wherein the inventory tree is generated by grouping the input and output datasets in a fashion such that a parent horizon dataset is followed by a parent volume dataset, the parent volume dataset then being followed by a child horizon dataset, thereby reflecting the relationship between the input and output datasets.

19. The computer-readable storage medium of claim 11, wherein a plurality of output datasets are generated from within the input dataset, and the inventory tree displays the plurality of output datasets in alphabetical order.

20. The computer-readable storage medium of claim 11, wherein the operation performed on the input dataset includes at least one of an amplitude, phase or frequency analysis of the input dataset.