Simultaneous wavelet extraction and deconvolution processing in the time domain
AssigneeSaudi Arabian Oil Company
InventorsSaleh Al-Dossary, Jinsong Wang
Life of this patent
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Abstract
Blind wavelet extraction and de-convolution is performed on seismic data to enable its practical usage in seismic processing and to provide quality control of data obtained in areas where data from wells are not available. The wavelet extraction and deconvolution are realized in the time domain by iteration, producing a mixed phase wavelet with minimal prior knowledge of the actual nature of the wavelet. As a result of the processing, the de-convolved seismic reflectivity is obtained simultaneously.
Claims25
A computer implemented method of processing seismic data obtained in the form of seismic traces from a reflection seismic survey of subsurface portions of the earth for analysis of subsurface features of interest, the computer implemented method comprising the computer implemented processing steps of:
- forming a wavelet from the seismic survey data;
- resolving a time of occurrence of maximum energy in the wavelet from the seismic survey data;
- forming a normalized amplitude of energy for the wavelet from traces in the seismic survey data;
- forming a composite trace at the resolved time of occurrence and normalized amplitude from an ensemble of the traces in the seismic survey data;
- applying a time filter to the wavelet based on the composite trace to form a resultant deconvolution wavelet having a main frequency in the seismic frequency band;
- performing a deconvolution operation on the seismic traces by applying the resultant deconvolution wavelet to the seismic data for analysis of subsurface features of interest;
- migration processing the seismic data, after the step of performing a deconvolution operation on the seismic traces, to move reflections in the data to their correct spatial locations;
- and
- forming displays of the migrated seismic data for analysis of subsurface features of interest.
A computer implemented method of processing seismic data obtained in the form of seismic traces from a reflection seismic survey of subsurface portions of the earth for analysis of subsurface features of interest, the computer implemented method comprising the computer implemented processing steps of:
- forming in the computer a wavelet from the seismic survey data;
- resolving in the computer a time of occurrence of maximum energy in the wavelet from the seismic survey data;
- forming in the computer a normalized amplitude of energy for the wavelet from traces in the seismic survey data;
- forming in the computer a composite trace at the resolved time of occurrence and normalized amplitude from an ensemble of the traces in the seismic survey data;
- applying in the computer a time filter to the wavelet based on the composite trace to form a resultant deconvolution wavelet having a main frequency in the seismic frequency band;
- and
- performing in the computer a deconvolution operation on the seismic traces by applying the resultant deconvolution wavelet to the seismic data for analysis of subsurface features of interest;
- migration processing the seismic data in the computer, after the step of performing a deconvolution operation on the seismic traces, to move reflections in the data to their correct spatial locations;
- and
- forming with the computer displays of the migrated seismic data for analysis of subsurface features of interest.
A computer implemented method of processing seismic data obtained in the form of seismic traces from a reflection seismic survey of subsurface portions of the earth for analysis of subsurface features of interest, the computer implemented method comprising the computer implemented processing steps of:
- forming a wavelet from the seismic survey data;
- resolving a time of occurrence of maximum energy in the wavelet from the seismic survey data;
- forming a normalized amplitude of energy for the wavelet from traces in the seismic survey data;
- forming a composite trace at the resolved time of occurrence and normalized amplitude from an ensemble of the traces in the seismic survey data;
- applying a time filter to the wavelet based on the composite trace to form a resultant deconvolution wavelet having a main frequency in the seismic frequency band;
- and
- performing a deconvolution operation on the seismic traces by applying the resultant deconvolution wavelet to the seismic data;
- velocity analysis processing the seismic traces to determine a seismic velocity function represents the velocity of energy travel through the earth as a function of depth;
- summing the individual seismic trace to improve the signal-to-noise ratio of the data in the seismic traces;
- migration processing the seismic data, after the step of performing a deconvolution operation on the seismic traces, to move reflections in the data to their correct spatial locations;
- and
- forming displays of the migrated seismic data for analysis of subsurface features of interest.
Dependencies are inferred from the claim text.