Method for processing at least two sets of seismic data
View Patent ↗This invention relates to a method for processing at least two seismic data sets ( 10, 20 ), each data set comprising several seismic traces (i, j) grouped by bins (Bi, Bj) and by offset classes (Oi, Oj), the method including the following steps: calculating at least one attribute (a(i, j)) characteristic of a similarity between a first trace (i) of a first data set ( 10 ) and a second trace (j) of a second data set ( 20 ), selecting or not the first and second traces (i, j) according to a selection criterion applied to the calculated attribute (a(i, j)).
1. Method for processing at least two sets of seismic data corresponding to an underground geological structure, each data set comprising several seismic traces (i, j), said method including the following steps:
grouping seismic traces of a first data set by bins (B i ) and by offset classes (O i );
grouping seismic traces of a second data set by bins (B j ) and by offset classes (O i ), wherein an offset class includes a range of offsets;
calculating at least one attribute (a(i,j)) characteristic of a similarity between a first trace (i) of the first data set and a second trace (j) of the second data set, in which the second data set is acquired at a time subsequent to acquiring the first data set; and
selecting the first and second traces (i, j) when the at least one attribute (a(i,j)) characteristic of similarity between the first trace and the second trace exceeds a threshold value, and using the selected first and second traces to obtain an image of the underground geological structure,
in which for a given first trace (i), several attributes (a(i,j)) are calculated corresponding to several second traces (j), said second traces (j) being taken from inside a search area (V) in the second data set,
in which the search area (V) extends over several offset classes.
2. Method according to claim 1 , in which the search area includes a neighborhood (V(B i )) predetermined around an offset class (O i ) associated with the first trace (i).
3. Method according to claim 1 in which the search area extends over several bins.
4. Method according to claim 3 , in which the search area includes a predetermined neighborhood (V(B i )) around a bin (B i ) associated with the first trace (i).
5. Method according to claim 1 , in which the search area includes a neighborhood (V(B i )) around an offset class (O i ) and a bin (B i ) associated with the first trace (i), the neighborhood (V(B i )) being delimited by an ellipsoid.
6. Method according to claim 5 , in which the ellipsoid has two focuses, one of the focuses being the centre of the bin (Bi) associated with the first trace (i) in the offset class (O i ) associated with the first trace (i), and the other focus being the centre of the same bin (B i ) associated with the first trace (i) in an offset class (B i+1 ) adjacent to offset class (O i ) associated with the first trace (i).
7. Method according to claim 1 , in which an attribute (a(i,j)) calculated for the first and second traces, (i, j) is a cross-correlation product (cc(i,j)) of the first and second traces (i,j).
8. Method according to claim 1 , in which an attribute (a(i,j)) calculated for the first and second traces (i, j) is a predictability (pr(i,j)) between the first and second traces (i,j).
9. Method according to claim 1 , in which an attribute (a(i,j)) calculated for the first and second traces (i, j) is a normalized RMS amplitude of the first and second traces (i,j).
10. Method according to claim 1 , in which the selection step includes determination of a maximum attribute value (max (a(i,j))).
11. A method for processing at least two sets of seismic data relating to a geological structure, said method including the following steps:
grouping seismic traces of a first base data set by bins (B i ) and by offset classes (O j );
grouping seismic traces of a second monitor data set by bins (Bj) and by offset classes (O j ), wherein an offset class includes a range of offsets;
calculating at least one attribute (a(i,j)) characteristic of a similarity between a first trace (i) of the first base data set and a second trace (j) of the second monitor data set, in which the second monitor data set is acquired at a time subsequent to acquiring the first base data set;
selecting the first and second traces (i,j) according to a selection criterion applied to the calculated attribute (a(i,j)); and
measuring changes in properties of the geological structure from the difference between the selected traces of the first base data set and of the second monitor data set.
12. The method of claim 11 , in which for a given first trace (i), several attributes (a(i,j)) are calculated corresponding to several second traces (j), said second traces (j) being taken from inside a search area (V) in the second monitor data set.
13. The method of claim 12 , in which the search area (V) extends over several offset classes.
14. The method of claim 13 , in which the search area includes a neighborhood (V(B i )) predetermined around an offset class (O i ) associated with the first trace (i).
15. The method of claim 12 , in which the search area extends over several bins.
16. The method of claim 12 , in which the search area includes a predetermined neighborhood (V(B i )) around a bin (B i ) associated with the first trace (i).
17. The method of claim 12 , in which the search area includes a neighborhood (V(B i )) around a bin (B i ) associated with the first trace (i).
18. The method of claim 17 , in which the neighborhood (V(B j )) is an ellipsoid havinq two focuses, one of the focuses being the centre of the bin (B i ) associated with the first trace (i) in the offset class (O i ) associated with the first trace (i), and the other focus being the centre of the same bin (B i ) associated with the first trace (i) in an offset class (BO i+1 ) adjacent to offset class (O i ) associated with the first trace (i).
19. The method of claim 11 , in which an attribute (a(i,j)) calculated for the first and second traces (i,j) is a cross-correlation product (cc(i,j)) of the first and second traces (i,j).
20. The method of claim 11 , in which an attribute (a(i,j)) calculated for the first and second traces (i,j) is a predictability (cc(i,j)) between the first and second traces (i,j).
21. The method of claim 11 , in which an attribute (a(i,j)) calculated for the first and second traces (i,j) is a normalized RMS amplitude of the first and second traces (i,j).
22. The method of claim 11 , in which the step of selecting comprises comparing an attribute (a(i,j)) and a threshold (A).
23. The method of claim 11 , in which the step of selecting comprises determining of a maximum attribute value (max (a(i,j))).