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Near-surface Q-value inversion and classified evaluation method based on generalized S transform

An evaluation method and near-surface technology, which is applied in seismology, seismology, and geophysical measurement for well logging records, and can solve the problems of low accuracy of near-surface Q value inversion and disjointed adaptive signal design of vibrators, etc. problem, to achieve the effect of improving imaging accuracy, increasing precision, and increasing resolution

Active Publication Date: 2019-09-20
CHINA PETROLEUM & CHEM CORP +1
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Problems solved by technology

[0007] The purpose of the present invention is to provide a near-surface Q-value inversion and classification evaluation method based on generalized S-transform for the situation that the near-surface Q-value inversion has low accuracy and is out of touch with the adaptive signal design of the vibrator

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  • Near-surface Q-value inversion and classified evaluation method based on generalized S transform

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[0043] In order to make the above and other objects, features and advantages of the present invention more comprehensible, the preferred embodiments are listed below and shown in the accompanying drawings in detail as follows.

[0044] Such as figure 1 as shown, figure 1 It is a flow chart of the generalized S-transform-based near-surface Q value inversion and classification evaluation method of the present invention.

[0045] Step 101, input micro-logging data;

[0046] Step 102, sorting two adjacent data;

[0047] Step 103, applying the generalized S-transform to obtain high-resolution time-spectrum respectively;

[0048] Step 104, extracting the corresponding instantaneous amplitude spectrum of the first arrival signal;

[0049] Step 105, applying the logarithmic spectrum ratio method to invert and fit the Q value between the two channels;

[0050] Step 106, repeating steps 102-105, inversion completes the Q value between adjacent traces in all micro-logging data;

[...

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Abstract

The invention provides a near-surface Q-value inversion and classified evaluation method based on generalized S transform. The near-surface Q-value inversion and classified evaluation method comprises the steps of: step 1, sorting data of two adjacent channels; step 2, respectively applying generalized S transform on the data of two adjacent channels to obtain high-resolution time spectra; step 3, extracting corresponding instantaneous amplitude spectra of first arrival signals; step 4, adopting a logarithmic spectrum ratio method to perform inversion fitting to obtain a Q value between two channels; step 5, repeating the steps from (1) to (4), and performing inversion to obtain Q values between adjacent channels in all micro-logging data; step 6, generating curves of the Q values varying with depths at the well positions; step 7, calculating an average attenuation effect factor by combining layer thicknesses and layer velocities; step 8, and performing near-surface classified evaluation by taking the average attenuation effect factor as a benchmark. The near-surface Q-value inversion and classified evaluation method based on generalized S transform studies the acquisition method for deeper complex structure and stratum lithology exploration, improves the acquisition quality and efficiency, and provides effective technical support and guarantee.

Description

technical field [0001] The invention relates to the technical field of oil field development, in particular to a method for inversion and classification evaluation of near-surface Q value based on generalized S transform. Background technique [0002] With the continuous advancement of fine exploration, lithology and volcanic rock reservoirs have become one of the main geological targets of exploration and research. Seismic data are required to have a higher signal-to-noise ratio and resolution, so as to improve the resolution of seismic data and the imaging accuracy of target layers. Has gone deep into the whole process of seismic exploration. The key to determining the seismic resolution is the effective frequency bandwidth. Past research results have shown that spherical diffusion is the main factor that reduces the energy of the reflected signal, and absorption attenuation is the main factor that narrows the frequency bandwidth of the reflected signal. The absorption and...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/30G01V1/40
CPCG01V1/306G01V1/40G01V2210/624
Inventor 王东凯王常波韩站一宋炜赵爱国刁瑞揭景荣
Owner CHINA PETROLEUM & CHEM CORP
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