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A method for predicting the porosity of carbonate rocks and a method for constructing a prediction model

A carbonate rock and prediction model technology, which is used in the field of petroleum and mining to predict the porosity of carbonate rocks indoors, and the geological field. , the experimental steps are simple, and the prediction reliability is high.

Active Publication Date: 2022-06-07
SOUTHWEST PETROLEUM UNIV
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Problems solved by technology

Fracture-cavity carbonate rocks have complex fracture and pore structures, showing strong heterogeneity, and the propagation law of sound wave velocity in these complex pore structures is complicated. Prediction of porosity of fracture-vuggy carbonate rocks based on sound wave velocity The effect is not ideal, and the quality factor Q of the acoustic wave is more sensitive to the change of these complex pore structures
There are many testing methods for the porosity of carbonate rock reservoirs. For example, in 1993, Xiao Cixun et al. proposed a method for predicting the porosity of carbonate rock reservoirs based on the neural network method; in 2005, Wang Zhihong et al. used BP neural network method to predict the porosity of carbonate reservoirs; in 2009, Liu Xiaomei et al. predicted the fracture porosity of carbonate reservoirs based on seismic attributes, multivariate statistical analysis theory and adaptive fuzzy neural network; in 2014, Liu et al. Based on the Gassmann equation and the comprehensive rock-skeleton model that characterizes the pore structure, Kaiyuan et al. derived the seismic porosity calculation expressions of carbonate rock reservoirs. These methods are all theoretical calculation methods and require many parameters to be prepared; for example, the application number 201810116486.3 "Quantitative Prediction Method for Diagenetic Simulated Porosity of Carbonate Reservoirs", which is based on carbonate reservoir sedimentary facies, diagenetic materials, sedimentary cycles, diagenesis and bottom layer thickness, using the above method, the method steps are complicated ,time consuming

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  • A method for predicting the porosity of carbonate rocks and a method for constructing a prediction model
  • A method for predicting the porosity of carbonate rocks and a method for constructing a prediction model
  • A method for predicting the porosity of carbonate rocks and a method for constructing a prediction model

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Embodiment 1

[0027] like figure 1 A method for constructing a carbonate rock porosity prediction model is shown, including the following steps:

[0028] A. Obtain carbonate rock samples from the research block and dry them;

[0029] B. Obtain the quality factor Q and porosity of different carbonate rock samples;

[0030] C. According to the quality factor Q and porosity of different carbonate rock samples, a prediction model of porosity is constructed.

[0031] The quality factor Q here can be obtained by various methods, for example, measured by a helium porosimeter, or obtained by experimental calculation. The specific method obtained by experimental calculation is: obtain the core acoustic wave waveform, calculate the quality factor Q of different carbonate rock samples, and the calculation method is as follows:

[0032]

[0033] Among them, E 0 , E x are the initial energy and the energy after propagation x distance, respectively, λ is the wavelength of the dominant frequency, ...

Embodiment 2

[0041] This embodiment refines the foregoing method on the basis of the principle of the foregoing embodiment.

[0042] The method is suitable for carbonate rock samples of different shapes and sizes, and a method for constructing a carbonate rock porosity prediction model includes the following steps:

[0043] A. Drill the rock sample from the outcrop rock sample. During the drilling process, ensure that the non-parallelism of the two end faces of the core does not exceed 0.05mm, and the maximum deviation of the end face of the core and the plane perpendicular to the axis of the specimen does not exceed 0.25°. It is required to make core samples such as Figures 2 to 4 shown. Put rock samples of different shapes in an oven to bake for 24 hours, then measure and record their quality with a precision balance, and then dry them for 1 hour and measure the quality. If there is no significant change in quality, put the rock samples in a sealed bag If there is a significant change...

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Abstract

The invention discloses a method for predicting the porosity of carbonate rocks and a method for constructing a prediction model. The construction method includes the following steps: obtaining carbonate rock samples in a research block and drying them; obtaining the quality of carbonate rock samples in different Factor Q and porosity; according to the quality factor Q and porosity of different carbonate rock samples, a porosity prediction model is constructed. Its prediction reliability is high.

Description

technical field [0001] The invention relates to the field of methods for indoor prediction of carbonate rock porosity in the fields of petroleum, geology and mining, and more particularly to a carbonate rock porosity prediction method and a prediction model construction method. Background technique [0002] Porosity is an important parameter for reservoir characterization, and the size of reservoir porosity directly represents the quality of reservoir performance. The fracture-cavity structure of fracture-cavity carbonate rocks is complex, showing strong heterogeneity, and the propagation law of sound wave velocity in these complex pore structures is complex. The effect is not ideal, and the quality factor Q of the sound wave is more sensitive to the changes of these complex pore structures. There are many existing carbonate reservoir porosity testing methods. For example, in 1993, Xiao Cixun et al. proposed a method for predicting carbonate reservoir porosity based on neur...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06F30/20G01N15/08G01N29/04
CPCG01N15/088G01N29/04G06F30/20
Inventor 刘向君石长有熊健梁利喜李玮魏晓琛
Owner SOUTHWEST PETROLEUM UNIV
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