High resolution ratio non-linear reservoir properties inversion method
A technology of reservoir physical properties and high resolution, applied in the field of petroleum exploration, can solve problems such as fuzzy petrophysical relationships, and achieve a high degree of matching effect
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[0026] The present invention will be further described below with reference to the accompanying drawings and in conjunction with the embodiments.
[0027] Figure 1 shows a 3-layer Caianiello convolutional neural network structure, where I, J, and k are the number of neurons in the input layer I, hidden layer J, and output layer K, respectively.
[0028] Fig. 2 shows the inversion process of the high-resolution nonlinear reservoir physical properties of the present invention, taking the porosity inversion as an example, including the following steps:
[0029] 1) Convert the known logging porosity data from the depth domain to the time domain and perform resampling at the same sampling rate as the seismic data; use Fourier transform to decompose the logging porosity data at multiple scales to obtain low, medium, and High frequency log porosity data.
[0030] 2) Perform horizon interpretation on known seismic sections, simulate complex structural features of large fault throws a...
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