Seismic fluid prediction method based on VMD and TK energy operators
A technology of fluid prediction and energy operator, which is applied in seismology, seismic signal processing, measuring devices, etc., can solve the problems of Hilbert-Huang transformation endpoint effect and modal mixing, and achieve the removal of invalid energy anomalies, High time-frequency resolution, accurate prediction of fluid location and properties
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Publication Date
- 2019-01-08
- Estimated Expiration
- Not applicable · inactive patent
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Abstract
Description
technical field
[0001] The invention relates to the identification and prediction of seismic fluid, in particular to a seismic fluid prediction method based on VMD and TK energy operators. Background technique
[0002] Seismic exploration plays a vital role in oil and gas prediction, and is an effective means to search for oil and natural gas. During the propagation of seismic signals, due to the heterogeneity of the underground stratum, the seismic wavelets will continue to change, coupled with the influence of noise in the acquisition process, the actual received seismic signals are not stable in time or space. It exhibits typical nonlinear and non-stationary characteristics. Previous studies have shown that when seismic waves propagate in fluid-bearing formations, their characteristics vary with the type and state of the fluid. When the fluid type is oil and gas, the seismic signal will have the characteristics of "increased low-frequency energy and weakened high-freque...
Examples
Embodiment Construction
[0038] The technical solution of the present invention will be further described in detail below in conjunction with the accompanying drawings, but the protection scope of the present invention is not limited to the following description.
[0039] Variational Mode Decomposition (VMD) is a variational problem solving process based on classical Wiener filtering, Hilbert transform and frequency mixing. It realizes signal adaptive decomposition by searching for the optimal solution of the constrained variational model, and decomposes the input signal into a series of modal components with sparse characteristics; assuming that each mode has a finite bandwidth with a central frequency, the central frequency and bandwidth are constantly updated during the decomposition process, and the VMD decomposition is to seek the modal function uk with the smallest sum of K estimated bandwidths (t), the sum of the modes is the input signal f.
[0040] Such as figure 1 As shown, a seismic fluid ...