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Method and system for predicting shear wave velocity in shale layers

A technology of shear wave velocity and prediction method, applied in measurement devices, geophysical measurements, seismology, etc., can solve the problem that shale gas reservoirs are not suitable, there are few studies on shear wave velocity prediction, and strong anisotropy characteristics and their effects are ignored. Factors and other issues to achieve reasonable and accurate prediction results, real and reliable modeling results, and good applicability

Active Publication Date: 2020-09-15
CHINA PETROLEUM & CHEM CORP +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Empirical formulas and theoretical models established for conventional clastic rock and carbonate formations are not applicable to shale gas reservoirs, and there are few studies on petrophysical modeling and shear wave velocity prediction of shale gas reservoirs
In addition, in terms of shear wave velocity prediction, it is also necessary to establish an accurate petrophysical model, but the current shale petrophysical model has not fully considered the complex mineral composition and microstructure of shale, and mostly ignores its strong anisotropy characteristics and Its influencing factors, etc., make the applicability of the method and the prediction accuracy of shear wave velocity difficult to meet the actual needs

Method used

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  • Method and system for predicting shear wave velocity in shale layers
  • Method and system for predicting shear wave velocity in shale layers
  • Method and system for predicting shear wave velocity in shale layers

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Experimental program
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Embodiment approach 1

[0044] According to one aspect of the present invention, a method for predicting shear wave velocity in shale formations is provided, the method comprising:

[0045] Step 1: Interpret the logging data to obtain logging parameters.

[0046] Step 2: Based on the logging parameters, construct an anisotropic petrophysical model of shale, and set the initial value of porosity aspect ratio and clay mineral orientation index;

[0047] Step 3: Obtain the compressional wave velocity, shear wave velocity and density based on the initial value of the porosity aspect ratio, the initial value of the clay mineral orientation index and the anisotropic petrophysical model of the shale;

[0048] Step 4: Based on the objective function, judge whether the longitudinal wave velocity, the shear wave velocity and the density meet the requirements;

[0049] If the requirements are not met, update the pore aspect ratio and clay mineral orientation index through the Monte Carlo optimization algorithm...

Embodiment approach 2

[0070] Another aspect of the present invention provides a shale formation shear wave velocity prediction system, comprising:

[0071] a memory storing computer-executable instructions;

[0072] a processor, the processor runs the computer-executable instructions in the memory, and performs the following steps:

[0073] Step 1: Interpret the logging data to obtain logging parameters;

[0074] Step 2: Based on the logging parameters, construct an anisotropic petrophysical model of shale, and set the initial value of porosity aspect ratio and clay mineral orientation index;

[0075] Step 3: Obtain the compressional wave velocity, shear wave velocity and density based on the initial value of the porosity aspect ratio, the initial value of the clay mineral orientation index and the anisotropic petrophysical model of the shale;

[0076] Step 4: Based on the objective function, judge whether the longitudinal wave velocity, the shear wave velocity and the density meet the requiremen...

Embodiment

[0089] figure 1 A flow chart of a method for predicting shear wave velocity of a shale formation according to an embodiment of the present invention is shown. figure 2 a- figure 2 f shows a schematic diagram of well logging curves of the target interval of a shale gas well in a certain area according to an embodiment of the present invention. image 3 a- image 3 f shows a comparison chart of the shear wave velocity curve estimated by the shale layer shear wave velocity prediction method according to an embodiment of the present invention and the shear wave velocity curve of a shale gas well in a certain area and the actually measured shear wave velocity curve.

[0090] Such as figure 1 , figure 2 a- figure 2 f and image 3 a- image 3 As shown in f, the shear wave velocity prediction method for shale formations includes: obtaining logging data, including well depth, compressional wave velocity, density, gamma and other logging data; interpreting the logging data to...

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Abstract

The invention discloses a shale layer shear wave velocity prediction method and system. The shale layer shear wave velocity prediction method comprises the steps that 1 logging data are interpreted toacquire logging parameters; 2 a shale anisotropic petrophysical model is constructed based on the logging parameters, and the initial value of porosity aspect ratio and the initial value of a clay mineral orientation index are given; 3 based on the initial value of porosity aspect ratio, the initial value of the clay mineral orientation index and the shale anisotropic petrophysical model, longitudinal wave velocity, shear wave velocity and density are acquired; and 4 based on an objective function, whether the longitudinal wave velocity, the shear wave velocity and the density meet requirements is determined. The shale layer shear wave velocity prediction method can accurately predict the shear wave velocity of shale gas reservoirs.

Description

technical field [0001] The invention belongs to the technical field of seismic exploration and development of shale gas and shale oil, and more specifically relates to a method and system for predicting shear wave velocity in shale layers. Background technique [0002] The inversion of pre-stack seismic data can provide prediction information related to formation lithology, physical properties and oil-gas properties. The shear wave velocity plays a very important role in the inversion of pre-stack seismic data and the analysis of AVO attributes. To reduce the uncertainty of reservoir prediction and improve the accuracy of shale gas sweet spots identification. But in reality, due to the high cost of shear wave logging, only a few wells in a work area have shear wave logging data, or even no shear wave logging data. Therefore, it is very important to predict the shear wave velocity from the logging data to the reservoir prediction. [0003] The S-wave velocity prediction met...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01V1/30
CPCG01V1/303G01V2210/6222G01V2210/66
Inventor 刘卫华
Owner CHINA PETROLEUM & CHEM CORP
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