Method for estimating seismic wave attenuation gradient by using Schrodinger equation

Abstract

The invention belongs to the field of geophysical processing methods for oil-gas exploration. The invention discloses a method for estimating seismic wave attenuation gradient by using a quantum mechanics Schrodinger equation (Figure 1). According to the method, seismic data is converted into a time-frequency domain by using a time-frequency analysis method, a quantum mechanics Schrodinger equation is adopted for the seismic data in the time-frequency domain to solve an adaptive fundamental wave function, and on the basis of obtaining a mapping coefficient sequence of the adaptive fundamental wave function, a least square method is combined to realize high-resolution estimation of the attenuation gradient. According to the method for estimating the seismic wave attenuation gradient by using the quantum mechanics Schrodinger equation, the Schrodinger equation is used for performing quantum feature representation on seismic data, the intrinsic change relation of multi-frequency-component seismic signals can be deeply excavated, a traditional attenuation gradient estimation algorithm is expanded to a potential energy-wave function domain, the Schrodinger equation is used for estimating the energy attenuation in the potential energy-wave function domain, and compared with a traditional method for estimating the attenuation gradient through energy high-frequency attenuation in the frequency domain, the method has higher identifiability and accuracy and can improve the accuracy and effectiveness of oil and gas indication.

Description

technical field [0001] The invention relates to the field of geophysical processing methods for oil and gas exploration, and relates to a method for estimating seismic wave attenuation gradients using the quantum mechanics Schrödinger equation. Background technique [0002] Seismic wave attribute attenuation technology is one of the widely used technologies in the field of oil and gas exploration, and is widely used in reservoir description and oil and gas detection. Seismic wave attenuation gradient estimation is a method in seismic wave attribute attenuation technology. In the traditional field of seismic wave mechanics, the estimation of seismic wave attenuation gradient is to use time-frequency analysis method to estimate the high-frequency information loss caused by seismic wave attenuation. Traditional attenuation gradient analysis methods use two-point slope or linear fitting methods to estimate the high-frequency attenuation of seismic wave energy. In order to impr...

AI Technical Summary

Problems solved by technology

Conventional seismic signal time-frequency analysis methods such as short-time Fourier transform, S-transform, continuous wavelet transform, Wigner-Ville distribution, etc. have their own characteristics, but due to the limitation of the principle of measurement uncertainty, the time-frequency resolution cannot reach the maximum at the same time. Excellent, not accurate enough in space-time positioning

For example, the fixed window function causes the short-time Fourier transform to not have a high enough resolution in the time and frequency domains; the S transform cannot meet the needs of actual data processing due to the fixed wavelet basis function; the wavelet transform analysis method is effective. depends on the selection of wavelet function; and the existence of cross terms also limits the application of Wigner-Ville distribution

In addition, conventional attenuation gradient estimation methods are only suitable for situations where the seismic wave spectrum is relatively smooth and the signal-to-noise ratio of seismic data is high.

In fact, since the seismic signal is a signal with multiple frequency components, its spectrum bandwidth is wide, and the attenuation of different frequency components is different. The high-frequency fitting effect of the entire seismic wave spectrum cannot truly reflect the high-frequency attenuation of different frequency components. The accuracy of the final calculation result is not high enough

Images