# US 2014/0195162 A1 · Device and method for de-blending simultaneous shooting data

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- Number: US 2014/0195162 A1
- Document ID: US20140195162A1
- Status: Published application
- Kind: A1
- Application number: 14/182,498
- Filed: 2014-02-18
- Published: 2014-07-10
- Earliest claimed: 2012-01-06
- Assignees: Cgg Services SAS
- Applicants: Cgg Services SA
- Inventors: Gordon POOLE
- Web page: https://patentgrep.com/patent/US20140195162A1

## CPC

- G01V 1/34: Displaying seismic recordings {or visualisation of seismic data or attributes}
- G01V 1/362: {Effecting static or dynamic corrections; Stacking}
- G01V 1/38: specially adapted for water-covered areas (G01V1/28 takes precedence)
- G01V 2210/324: Filtering
- G01V: GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS (means for indicating the location of accidentally buried, e.g. snow-buried, persons A63B29/02)

## Abstract

A device, medium and method for de-blending seismic data associated with a subsurface of the earth. The method includes a step of receiving seismic data “d” recorded with one or more land receivers, wherein the seismic data includes shot recordings generated by plural sources that are simultaneously actuated; a step of forming either a continuous receiver trace or trace segments from the received seismic data; a step of selecting plural overlapping spatial blocks that cover the surface shot locations; a step of assigning the shot recordings to the plural overlapping spatial blocks; a step of applying a mathematical technique to the recordings to determine de-blended data; and a step of generating an image of the subsurface based on the de-blended data.

## Claims

### Claim 1

A method for de-blending seismic data associated with a subsurface of the earth, the method comprising:
receiving seismic data “d” that includes shot recordings generated by plural sources that are simultaneously actuated;
forming either a continuous receiver trace or trace segments by splicing together traces from the received seismic data;
selecting plural overlapping spatial blocks that cover shot locations of the plural sources;
assigning the shot recordings to the plural overlapping spatial blocks;
determining a linear de-blended model “m” of the seismic data by reverse transforming data corresponding to the overlapped spatial blocks, merging traces together from all spatial blocks to obtain resulting traces, and re-blending the resulting traces; and
generating an image of the subsurface based on the de-blended model m.

### Claim 2 (depends on 1)

The method of claim 1, wherein the receiving step comprises:
receiving a receiver gather from a blended land acquisition.

### Claim 3 (depends on 1)

The method of claim 1, wherein plural shot recordings correspond to a single overlapping spatial block.

### Claim 4 (depends on 1)

The method of claim 1, further comprising:
collecting data regarding a shot location, a processing block, shot coordinates, taper weights, and a source identifier.

### Claim 5 (depends on 1)

The method of claim 1, wherein the step of determining a linear de-blended model “m” further comprises:
applying a linear operator L and the adjoint operator LT to the input data “d,” to derive the linear deblended model “m” of the seismic data using conjugate gradients.

### Claim 6 (depends on 5)

The method of claim 5, wherein applying the operator L comprises:
reversing tau-px-py transform data corresponding to the overlapped spatial blocks;
tapering of traces within each spatial block based on their spatial location; and
convolving the merged traces with corresponding source signatures.

### Claim 7 (depends on 5)

The method of claim 5, further comprising:
updating a sparseness of the model “m.”

### Claim 8 (depends on 7)

The method of claim 7, further comprising:
determining a residual of the model; and
estimating whether the residual is smaller than a predetermined threshold.

### Claim 9 (depends on 8)

The method of claim 8, further comprising:
considering that the model “m” has been determined when the residual is smaller than the predetermined threshold.

### Claim 10 (depends on 9)

The method of claim 9, wherein the model “m” is used to make an estimate of the deblended data or is used to make an estimate of cross-talk noise that is subtracted from pseudo-deblended data.

### Claim 11

A seismic data processing device for de-blending seismic data associated with a subsurface of the earth, the device comprising:
an interface configured to receive seismic data “d” that includes shot recordings generated by plural sources that are simultaneously actuated; and
a processor connected to the interface and configured to,
form either a continuous receiver trace or trace segments from the received seismic data;
select plural overlapping spatial blocks that cover shot locations of the plural sources;
assign the shot recordings to the plural overlapping spatial blocks;
determine a linear de-blended model “m” of the seismic data by reverse transforming data corresponding to the overlapped spatial blocks, merge traces together from all spatial blocks to obtain resulting traces, and re-blend the resulting traces; and
generate an image of the subsurface based on the de-blended data.

### Claim 12 (depends on 11)

The device of claim 11, wherein the processor is further configured to:
receive a receiver gather from a blended land acquisition.

### Claim 13 (depends on 11)

The device of claim 11, wherein plural shot recordings correspond to a single overlapping spatial block.

### Claim 14 (depends on 11)

The device of claim 11, wherein the processor is further configured to:
collect data regarding a shot location, a processing block, shot coordinates, taper weights, and a source identifier.

### Claim 15 (depends on 11)

The device of claim 11, wherein the processor is further configured to:
apply a linear operator L and the adjoint operator LT to the input data “d,” to derive the linear de-blended model “m” of the seismic data using conjugate gradients.

### Claim 16 (depends on 15)

The device of claim 15, wherein applying the operator L comprises:
reverse tau-px-py transform data corresponding to the overlapped spatial blocks;
taper traces within each spatial block based on their spatial location; and
convolve the merged traces with corresponding source signatures.

### Claim 17 (depends on 15)

The device of claim 15, wherein the processor is further configured to:
update a sparness of the model “m.”

### Claim 18 (depends on 17)

The device of claim 17, wherein the processor is further configured to:
determine a residual of the model; and
estimate whether the residual is smaller than a predetermined threshold.

### Claim 19 (depends on 18)

The device of claim 18, wherein the processor is further configured to:
consider that the model “m” has been determined when the residual is smaller than the predetermined threshold.

### Claim 20

A non-transitory computer readable medium including computer executable instructions, wherein the instructions, when executed by a processor, implement instructions for de-blending seismic data associated with a subsurface of the earth, the instructions comprising:
receiving seismic data “d” that includes shot recordings generated by plural sources that are simultaneously actuated;
forming either a continuous receiver trace or trace segments by splicing together traces from the received seismic data;
selecting plural overlapping spatial blocks that cover shot locations of the plural sources;
assigning the shot recordings to the plural overlapping spatial blocks;
determining a linear de-blended model “m” of the seismic data by reverse transforming data corresponding to the overlapped spatial blocks, merging traces together from all spatial blocks to obtain resulting traces, and re-blending the resulting traces; and
generating an image of the subsurface based on the de-blended model m.

### Claim 21 (depends on 20)

The medium of claim 20, wherein the step of determining the linear de-blended model m further comprises:
applying a linear operator L and the adjoint operator LT to the input data “d,” to derive the linear de-blended model “m” of the seismic data using conjugate gradients, and
wherein applying the operator L comprises:
reversing tau-px-py transform data corresponding to the overlapped spatial blocks;
tapering of traces within each spatial block based on their spatial location; and
convolving the merged traces with corresponding source signatures.