A method of porosity based on the union dictionary
A technology of porosity inversion and porosity, which is applied in the field of geostatistics to achieve the effect of reducing the inversion period, solving poor applicability and improving utilization rate
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Embodiment 1
[0122] The method of the present invention is applied to Marmousi model data to verify the validity of the method. first according to figure 2 The Marmousi impedance model shown in Fig. image 3 shown. One is the porosity model generated by the negative correlation of the Marmousi impedance model, as Figure 4 shown. In the figure, the ordinate (Time) represents time, and the abscissa (Tracenumbers) represents gathers. And add 30dB Gaussian white noise to the two models respectively.
[0123] For the Marmousi wave impedance model, the present invention uses the Reich wavelet with a dominant frequency of 35 Hz and uses a convolution model to generate theoretical seismic data. Unlike other methods, the method of the present invention needs to learn a joint dictionary with different parameters Therefore, the method of the present invention extracts 10 well data at equal intervals from the model wave impedance and porosity data as training data. The training size this tim...
Embodiment 2
[0137] In order to further illustrate the practical application ability of the method of the present invention, the method of the present invention is applied to a work area of a gas field in central Sichuan, China. The resistance and porosity data of the well logging are processed by sliders with an atomic size of 20 and a step size of 1 to obtain a joint dictionary training set, and a joint dictionary set of impedance and porosity is obtained through joint dictionary learning. Figure 10 The dictionary set (part) obtained from training in this embodiment, wherein a) Ip_Dic is the learned impedance dictionary, and b) Por_Dic is the learned porosity dictionary. It can be clearly observed that the learned dictionary atoms exhibit different relationships between impedance and porosity. Table 2 shows Figure 10 The linear fit coefficients for the corresponding atoms in .
[0138] Table 2 Figure 5 Fitting coefficients for different dictionary atoms in
[0139]
[0140] F...
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