Use nuos technology to acquire optimized 2D data
AssigneeConocoPhillips Company
InventorsChengbo Li, Charles C. Mosher, Robert G. Keys, Peter M. Eick, Sam T. Kaplan, Joel D. Brewer
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Abstract
A method for 2D seismic data acquisition includes determining source-point seismic survey positions for a combined deep profile seismic data acquisition with a shallow profile seismic data acquisition wherein the source-point positions are based on non-uniform optimal sampling. A seismic data set is acquired with a first set of air-guns optimized for a deep-data seismic profile and the data set is acquired with a second set of air-guns optimized for a shallow-data seismic profile. The data are de-blended to obtain a deep 2D seismic dataset and a shallow 2D seismic dataset.
Claims20
A method for 2D seismic data acquisition, the method comprising:
- determining source-point seismic survey positions for a combined deep profile seismic data acquisition with a shallow profile seismic data acquisition, the source-point seismic survey positions based on non-uniform optimal sampling using a Monte Carlo Optimization scheme and a cost-function, wherein the source-point survey positions are determined irrespective of any nominal grid;
- obtaining a seismic dataset acquired with a first set of air-guns optimized for a deep-data seismic profile and acquired with a second set of air-guns optimized for a shallow-data seismic profile;
- and
- de-blending the seismic dataset to obtain a deep 2D seismic dataset and a shallow 2D seismic dataset.
A method for seismic data acquisition, the method comprising:
- determining source-point seismic survey positions for a combined deep profile seismic data acquisition with a shallow profile seismic data acquisition, the source-point seismic survey positions based on non-uniform optimal sampling using a Monte Carlo Optimization scheme, the Monte Carlo Optimization scheme further comprising a Signal-to-Noise Ratio cost-function (SNR cost-function) defined as the root-mean-square SNR of the data to be reconstructed minus the SNR of an elastic wave synthetic dataset over an area of interest using an appropriate velocity model;
- obtaining a seismic dataset acquired using a first set of air-guns optimized for a deep-data seismic profile and a second set of air-guns optimized for a shallow-data seismic profile;
- and
- de-blending the seismic dataset to obtain a deep seismic dataset and a shallow seismic dataset.
A method for seismic data acquisition, the method comprising:
- determining source-point seismic survey positions for a combined deep profile seismic data acquisition with a shallow profile seismic data acquisition, the source-point seismic survey positions based on non-uniform optimal sampling using a Monte Carlo Optimization scheme, the Monte Carlo Optimization scheme further comprising a cost-function to determine optimized locations, the cost-function selected from:
- diagonal dominance, a conventional array response, a condition number, eigenvalue determination, mutual coherence, trace fold, and azimuth distribution;
- obtaining a seismic dataset acquired with a first set of air-guns optimized for a deep-data seismic profile and a second set of air-guns optimized for a shallow-data seismic profile;
- and
- de-blending the seismic dataset to obtain a deep seismic dataset and a shallow seismic dataset.
Dependencies are inferred from the claim text.