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Fluid identification method based on seismic data based on adaptive extraction of low-frequency and strong anomalies

A technology for seismic data and fluid identification, which is applied in the field of oil and gas geophysical exploration, can solve cumbersome problems and achieve the effects of stable signal-to-noise ratio, quality improvement, and good correspondence

Active Publication Date: 2017-03-08
CHINA PETROLEUM & CHEM CORP +1
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Problems solved by technology

However, extracting the low-frequency anomalies of seismic signals requires decomposing the signals into different frequencies, and observing the anomalies one by one, which is very cumbersome

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  • Fluid identification method based on seismic data based on adaptive extraction of low-frequency and strong anomalies
  • Fluid identification method based on seismic data based on adaptive extraction of low-frequency and strong anomalies
  • Fluid identification method based on seismic data based on adaptive extraction of low-frequency and strong anomalies

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Embodiment Construction

[0037] Below in conjunction with accompanying drawing, the present invention is described in further detail:

[0038] (1) Decomposition of seismic spectrum based on low-frequency anomalies

[0039] Seismic signal is a typical non-stationary signal, which can be decomposed into a series of wavelet superposition by wavelet transform, thus transforming one-dimensional seismic signal into two-dimensional. Suppose the seismic signal is f(t), w(t) is the wavelet, and the wavelet transform can be written as

[0040]

[0041] where WT is the wavelet transform of the seismic signal, w * (t) is the conjugate complex number of the wavelet. b is the time delay, a is the wavelet scale factor. attached Figure 1a is the earthquake signal, Figure 1b For the wavelet transform of seismic signals, the frequency distribution characteristics of non-stationary signals can be observed. Two energy clusters are circled in the box in the picture, one is a high-frequency energy cluster, and t...

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Abstract

The invention provides a seismic data fluid identification method based on self-adaption extraction of signal low-frequency intense anomaly, and belongs to the field of petroleum and gas geophysical exploration. The method comprises the following steps: 1, checking well core data to determine an underground depth position of a reservoir stratum containing fluid, performing spectral decomposition on a seismic signal of a well-side seismic channel, observing whether the reservoir stratum containing fluid has a seismic reflection characteristic of a low-frequency intense amplitude or not compared with surrounding rock, and if so, jumping to a step 2; 2, performing spectral decomposition based on low-frequency intense amplitude anomaly on one seismic signal to obtain a time-frequency spectrum of the seismic signal; 3, acquiring the instant maximum energy of each moment in the time-frequency spectrum obtained in the step 2; 4: repeating the step 2 and the step 3 on a next seismic signal till all seismic channels are finished; 5, identifying the seismic data fluid by using the seismic reflection characteristic of the low-frequency intense amplitude. By adopting the method, low-frequency anomaly of the seismic signal can be rapidly extracted in a self-adaption way.

Description

technical field [0001] The invention belongs to the field of petroleum and natural gas geophysical exploration, and in particular relates to a seismic data fluid identification method based on self-adaptive extraction of low-frequency and strong anomalies of signals. Background technique [0002] With the deepening of oil and gas exploration, the reservoirs to be predicted are becoming more and more complex and buried deeper, especially the requirements for reservoir fluid prediction are getting higher and higher, not only the accuracy is required, but even the type and nature of the fluid are required to be predicted . In this case, the emergence of new methods and new technologies is inevitable. The seismic data fluid identification method based on seismic frequency band information mining is intended to find different reflection characteristics of different frequency components of seismic signals on fluid-bearing reservoirs, such as frequency attenuation analysis technolo...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01V1/30
Inventor 王小品
Owner CHINA PETROLEUM & CHEM CORP