Increasing similarity between seismic datasets

Patent metadata

Field	Value
Publication number	US-10310122-B2
Application number	US-201514957949-A
Country	US
Kind code	B2
Filing date	Dec 3, 2015
Priority date	Mar 4, 2013
Publication date	Jun 4, 2019
Grant date	Jun 4, 2019

Abstract

A method for increasing similarity between a first seismic dataset and a second seismic dataset from at least one seismic survey of a subsurface. The first and second seismic datasets are migrated to a dip angle image domain. The migrated first and second seismic datasets are used in the dip angle image domain to calculate a set of decimating weights to be applied to the first seismic dataset and the second seismic dataset to maximize a similarity between the first seismic dataset and the second seismic dataset. The decimated weights are applied to the first and second seismic datasets, and an image of the subsurface is generated using the first seismic dataset and the second seismic dataset following application of the decimated weights.

First claim

What is claimed is:

1. A method for seismic monitoring of a subsurface including an oil and/or gas reservoir, the method comprising:
obtaining the first seismic dataset acquired during a base seismic survey of the subsurface;
obtaining the second seismic dataset acquired during a monitor seismic survey of the subsurface conducted after the base seismic survey;
migrating the first seismic dataset and the second seismic dataset to a dip angle image domain;
using the migrated first seismic dataset and the migrated second seismic dataset in the dip angle image domain to calculate, with a processor, a set of decimating weights which, when applied to the first seismic dataset and the second seismic dataset, maximize a similarity between the first seismic dataset and the second seismic dataset;
applying the set of decimating weights to the first seismic dataset and the second seismic dataset; and
generating an image of changes in the subsurface using the first seismic dataset and the second seismic dataset following application of the decimating weights.

2. The method of claim 1 , wherein the first seismic dataset comprises first seismic traces and the second seismic dataset comprises second seismic traces, the method further comprising:
selecting a subset of the first seismic traces and a subset of the second seismic traces; and
the migrating of the first seismic dataset and of the second seismic dataset includes migrating the subset of first seismic traces and the subset of second seismic traces.

3. The method of claim 1 , wherein the set of decimating weights is applied to the first seismic dataset and the second seismic dataset in the dip angle image domain.

4. The method of claim 1 , wherein the migrating of the first seismic dataset and of the second seismic dataset to the dip angle image domain comprises:
selecting a plurality of dip angles; and
migrating the first seismic dataset to a plurality of first seismic dataset dip angle partial images and the second seismic dataset to a plurality of second seismic dataset dip angle partial images, each first seismic dataset dip angle partial image and a corresponding second seismic dataset dip angle partial image being associated with one dip angle in the plurality of dip angles.

5. The method of claim 4 , wherein the using of the migrated first seismic dataset and the migrated second seismic dataset in the dip angle image domain to calculate the set of decimating weights comprises determining a measure of similarity between a first seismic dataset dip angle partial image and a second seismic dataset dip angle partial image for each pair of dip angle partial images associated with a common one of the plurality of dip angles.

6. The method of claim 5 , wherein the measure of similarity comprises a point by point measure of similarity.

7. The method of claim 5 , wherein the using of the migrated first seismic dataset and the migrated second seismic dataset in the dip angle image domain to calculate the set of decimating weights further comprises calculating a subset of decimating weights for the first seismic dataset dip angle partial image and the second seismic dataset dip angle partial image in each pair of dip angle partial images.

8. The method of claim 7 , wherein each subset of decimating weights when multiplied to the first seismic dataset dip angle partial image and the second seismic dataset dip angle partial image in a given pair of dip angle partial images increase a similarity of the first seismic dataset dip angle partial image and the second seismic dataset dip angle partial image in that given pair of dip angle partial images.

9. The method of claim 8 , wherein the method further comprises:
multiplying each subset of decimating weights to the first seismic dataset dip angle partial image and the second seismic dataset dip angle partial image in the respective pair of dip angle partial images associated with that subset of decimating weights; and
combining a resulting weighted first seismic dataset dip angle partial image and a resulting weighted second seismic dataset dip angle partial image in each pair of dip angle partial images following multiplication to produce an image of the subsurface.

10. The method of claim 4 , wherein the selecting of the plurality of dip angles includes:
identifying a plurality of frequency bands in the first and second seismic datasets; and
associating a dip angle with each one of the plurality of frequency bands, wherein lower frequencies are associated with larger dip angles and higher frequencies are associated with smaller dip angles.

11. The method of claim 4 , wherein the selecting of the plurality of dip angles includes:
identifying a smallest dip angle, the smallest dip angle being greater than zero;
identifying a largest dip angle, the largest dip angle being less than a maximum dip angle in the subsurface; and
selecting the plurality of dip angles between the smallest dip angle and the largest dip angle.

12. A computing device for seismic monitoring of a subsurface including an oil and/or gas reservoir, the computing device comprising:
a database comprising the first seismic dataset acquired during a base seismic survey of the subsurface and the second seismic dataset acquired during a monitor seismic survey conducted after the base seismic survey; and
a processor in communication with the database and configured to:
migrate the first seismic dataset and second seismic dataset to a dip angle image domain;
use the migrated first seismic dataset and the migrated second seismic dataset in the dip angle image domain to calculate a set of decimating weights which, when applied to the first seismic dataset and the second seismic dataset, maximize a similarity between the first seismic dataset and the second seismic dataset;
apply the set of decimating weights to the first seismic dataset and the second seismic dataset; and
generate an image of changes in the subsurface using the first seismic dataset and the second seismic dataset following application of the decimating weights.

13. The computing device of claim 12 , wherein the processor is further configured to:
select a plurality of dip angles; and
migrate the first seismic dataset to a plurality of first seismic dataset dip angle partial images and the second seismic dataset to a plurality of second seismic dataset dip angle partial images, each first seismic dataset dip angle partial image and a corresponding second seismic dataset dip angle partial image being associated with one dip angle in the plurality of dip angles.

14. The computing device of claim 13 , wherein the processor is further configured to determine a measure of similarity between a first seismic dataset dip angle partial image and a second seismic dataset dip angle partial image for each pair of dip angle partial images associated with a common one of the plurality of dip angles.

15. The computing device of claim 14 , wherein the measure of similarity comprises a point by point measure of similarity.

16. The computing device of claim 14 , wherein the processor is further configured to calculate a subset of decimating weights for the first seismic dataset dip angle partial image and the second seismic dataset dip angle partial image in each pair of dip angle partial images.

17. The computing device of claim 16 , wherein each subset of decimating weights when multiplied to the first seismic dataset dip angle partial image and the second seismic dataset dip angle partial image in a given pair of dip angle partial images increase a simila

Assignees

• Cgg Services Sa
• Cgg Services Sas

Inventors

• Haacke Ross
• Casasanta Lorenzo
• De Cacqueray Benoit

Classifications

• G01V1/366 Primary

  by correlation of seismic signals · CPC title

• G01V2210/612

  Previously recorded data, e.g. time-lapse or 4D · CPC title

• G01V2210/51

  Migration · CPC title

• G01V1/308

  Time lapse or 4D effects, e.g. production related effects to the formation (fluid flow per se E21B47/00) · CPC title