Seismic data low-frequency compensation method and device based on sparse envelope

Abstract

The embodiment of the invention provides a seismic data low-frequency compensation method and device based on sparse envelope, a processor and a storage medium. The method comprises the following steps: constructing a Ricker matching wavelet dictionary; establishing a sparse decomposition and matching wavelet set of the seismic data; reconstructing a matched wavelet signal; determining a residual error of the matched wavelet signal and a corresponding residual error envelope; determining band-pass filtering of the residual envelope; determining a combination of data-driven low frequency compensated seismic data. Aiming at the problem that an inversion result is unstable due to the fact that seismic data low-frequency information for interpretation and inversion is lost under the limitation of a detector technology, the method is directly based on data driving and is combined with a signal reconstruction method of a sparse representation theory and an envelope ultra-low frequency characteristic in a signal modulation and demodulation theory, on the basis of keeping the original real information of the signal, the low-frequency component of the signal is compensated, the spectral range is widened, the multiplicity of the subsequent inversion interpretation work can be effectively reduced, the acquisition cost is saved, and the interpretation precision is improved.

Description

technical field [0001] The invention relates to the technical field of geophysical exploration of oil and natural gas resources, in particular to a sparse envelope-based seismic data low-frequency compensation method, device, storage medium and processor. Background technique [0002] In the process of seismic wave propagation, the formation medium will cause frequency-dependent energy attenuation and phase distortion, resulting in attenuation, scattering and dispersion of high-frequency components. This effect makes the low-frequency components of seismic waves retain, contain more abundant and more Information that can reflect the properties of the medium. However, limited by current geophone technology, it is difficult to receive low-frequency information in seismic waves. Although the use of low-frequency land seismic sources and the invention of low-frequency geophones in recent years have made it possible to receive seismic signals below 2 Hz in some areas, the cost i...

AI Technical Summary

Problems solved by technology

However, due to the limitations of current geophone technology, it is difficult to receive low-frequency information in seismic waves

Although the use of low-frequency land seismic sources and the invention of low-frequency geophones in recent years have made it possible to receive seismic signals below 2 Hz in some areas, the cost is very expensive

The lack of low-frequency information leads to unstable inversion results, resulting in inaccurate interpretation of reservoirs and lithology, reducing the reliability of inversion

[0003] The existing low-frequency data compensation acquisition methods mainly have the following problems: 1) Although the use of low-frequency land seismic sources and low-frequency geophones to obtain low-frequency signals allows some areas to receive seismic signals lower than 2 Hz, the cost is very expensive, which greatly increases Exploration and acquisition costs; 2) Some low-frequency compensation methods based on compressed sensing theory can directly compensate low-frequency information through data, but they must first extract the reflection coefficient sequence from the seismic data, and then use the reconstruction algorithm to convert the reflection coefficient sequence The low-frequency components of the component are compensated to the seismic data, which reduces the calculation efficiency

Images