Method and apparatus for deblending seismic data using a non-blended dataset
AssigneeCgg Services SAS
InventorsGordon Poole, Henning Hoeber, Adel Khalil
Life of this patent
Estimating the term…
Abstract
A non-blended dataset related to a same surveyed area as a blended dataset is used to deblend the blended dataset. The non-blended dataset may be used to calculate a model dataset emulating the blended dataset, or may be transformed in a model domain and used to derive sparseness weights, model domain masking, scaling or shaping functions used to deblend the blended dataset.
Claims16
A seismic exploration method for imaging gas and oil reservoirs in an underground formation, the method comprising:
- obtaining a first non-blended dataset acquired over the underground formation;
- acquiring a second blended dataset over the underground formation using plural sources whose listening times overlap;
- calculating a model dataset emulating the second blended dataset by:
- dividing the first dataset into spatial blocks, data in each spatial block having a common acquisition characteristic,
- interpolating the data in each spatial block of the first non-blended dataset to match source and receiver positions during the acquiring of the second blended dataset, and
- merging the interpolated data blocks to obtain the model dataset;
- deblending the second blended dataset using the model dataset to obtain at least one deblended second dataset corresponding to one of plural seismic sources;
- and
- generating an image of the underground formation based on the at least one deblended second datasets,
- wherein the common acquisition characteristic is one of mid-point, offset and receiver position.
A seismic data processing apparatus for imaging gas and oil reservoirs in an underground formation, the apparatus comprising:
- an interface configured to obtain a first non-blended dataset acquired over the underground formation and a second blended dataset acquired over the underground formation using plural sources whose listening times overlap;
- and
- a data processing unit including one or more processors and configured
- to calculate a model dataset emulating the second blended dataset by:
- dividing the first dataset into spatial blocks, data in each spatial block having a common acquisition characteristic,
- interpolating the data in each spatial block of the first non-blended dataset to match source and receiver positions with the second blended dataset, and
- merging the interpolated data blocks to obtain the model dataset;
- to deblend the second blended dataset using the model dataset to obtain at least one deblended second dataset corresponding to one of plural seismic sources;
- and
- to generate an image of underground formation based on the at least one deblended second dataset,
- wherein the common acquisition characteristic is one of mid-point, offset and receiver position.
Dependencies are inferred from the claim text.