p. 4International audienceIn geophysics, a homomorphic system is used to modelize the convolution of an emitted wavelet (source) with the impulse response of the earth into the sum of the log spectra of the wavelet and the earth's response. If the source function is supposed to be stationary and the earth's response spatially nonstationary, by averaging the log spectra of several random reflection records, the log spectrum of the wavelet will be enhanced and the log spectrum of the earth's response will average out. In this paper, we take an interest in the application of the above method on synthetic seismic data, for estimating the theoretical wavelet spectrum. Then, the wavelet estimate is used to deconvolve the data for obtaining the ea...
The propagation of seismic waves may be described in the space-frequency domain by the Rayleigh-Somm...
Abstract — This paper reports work in characterization of infrasonic and seismic signals from mining...
A new and different approach to the solution of the normal equations of minimum entropy deconvolutio...
In geophysics, a homomorphic system is used to modelize the convolution of an emitted wavelet (sourc...
Homomorphic extraction of the seismic wavelet has been reported in the literature where the assumpti...
Wavelet estimation can be posed as a multi-channel common information problem. Each channel of data ...
In the stochastic deconvolution process, the assumption of a random reflectivity function can be rep...
A method is presented for the deconvolution of a suite of teleseismic recordings of the same event. ...
The goal of this thesis is to use wavelet transforms as tools to analyze simultaneously the time (o...
The problem of estimating the power spectra of non-stationary stochastic processes by using the harm...
The seismic wavelet phase can be estimated by histogram matching between seismic inverted reflectivi...
Every seismic event produces seismic waves which travel throughout the Earth. Seismology is the scie...
Seismic wavelet estimation is an important step in processing and analysis of seismic data. Inversio...
This thesis presents two innovations to geophysical inversion. The first provides a framework and an...
A method for parametric estimation of seismic wavelets from well logs and seismic data is developed....
The propagation of seismic waves may be described in the space-frequency domain by the Rayleigh-Somm...
Abstract — This paper reports work in characterization of infrasonic and seismic signals from mining...
A new and different approach to the solution of the normal equations of minimum entropy deconvolutio...
In geophysics, a homomorphic system is used to modelize the convolution of an emitted wavelet (sourc...
Homomorphic extraction of the seismic wavelet has been reported in the literature where the assumpti...
Wavelet estimation can be posed as a multi-channel common information problem. Each channel of data ...
In the stochastic deconvolution process, the assumption of a random reflectivity function can be rep...
A method is presented for the deconvolution of a suite of teleseismic recordings of the same event. ...
The goal of this thesis is to use wavelet transforms as tools to analyze simultaneously the time (o...
The problem of estimating the power spectra of non-stationary stochastic processes by using the harm...
The seismic wavelet phase can be estimated by histogram matching between seismic inverted reflectivi...
Every seismic event produces seismic waves which travel throughout the Earth. Seismology is the scie...
Seismic wavelet estimation is an important step in processing and analysis of seismic data. Inversio...
This thesis presents two innovations to geophysical inversion. The first provides a framework and an...
A method for parametric estimation of seismic wavelets from well logs and seismic data is developed....
The propagation of seismic waves may be described in the space-frequency domain by the Rayleigh-Somm...
Abstract — This paper reports work in characterization of infrasonic and seismic signals from mining...
A new and different approach to the solution of the normal equations of minimum entropy deconvolutio...