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Shale apparent permeability prediction method based on pore structure characteristics

A technology of pore structure and prediction method, applied in permeability/surface area analysis, prediction, measurement device, etc., can solve the problems of inability to predict the apparent permeability of shale reservoirs, and the inability to predict the apparent permeability of porous media, etc. achieve high prediction accuracy

Pending Publication Date: 2021-07-16
SHAANXI YANCHANG PETROLEUM GRP
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

[0003] At present, Wu Keliu, Wang Rui, Javadpour F, Duan Yonggang, etc. respectively established the apparent permeation model of gas transport in microchannels, and analyzed the gas transport capacity in microchannels, but such models can only characterize the performance of microchannels with specific pore diameters. The gas transport capacity cannot predict the apparent permeability of porous media with a certain pore structure, and it cannot be applied to the prediction of apparent permeability of actual shale reservoirs

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  • Shale apparent permeability prediction method based on pore structure characteristics
  • Shale apparent permeability prediction method based on pore structure characteristics
  • Shale apparent permeability prediction method based on pore structure characteristics

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Embodiment 1

[0136] Example 1-Apparent Permeability Model for Gas Transport in Microchannels

[0137] The gas transmission mode is determined by the channel characteristics and gas characteristics, and the Knudsen number is generally used as the criterion for gas transmission mode. The Knudsen number is defined as the ratio of the mean free path of gas molecules to the pore diameter, and its expression is:

[0138]

[0139] In the formula: Kn is Knudsen number, dimension 1;

[0140] λ is the mean free path of gas molecules, m;

[0141] k b is the Boltzmann constant, 1.38×10 -23 J.K. -1 ;

[0142] T is the absolute temperature, K;

[0143] σ is the average collision diameter of gas molecules, m;

[0144] p is the pore pressure, Pa;

[0145] d is the diameter of the channel, m;

[0146] The mean free path of gas molecules is positively correlated with temperature, and negatively correlated with pore pressure and mean collision diameter of gas molecules. Table 1 shows CH 4 、C ...

Embodiment 2

[0216] Example 2 - Shale Apparent Permeability Model Considering Effective Stress Effect

[0217] The microchannel apparent permeability model established above in (1) is for a single microchannel with a specific pore diameter. For porous media, it is assumed that the gas transmission channel is composed of a number of micropores with a certain tortuosity and pore size distribution, and the micropores are composed of substances that do not have the ability to pass through the gas, that is, the capillary bundle model. It is specifically assumed that the pore diameters of microchannels in porous media are d 1 , d 2 ,...,d i , the number of microchannels corresponding to the corresponding pore diameter is N 1 , N 2 ,...,N i . The following discussion is for a porous medium with a unit mass; the apparent permeability of a microchannel with a specific pore diameter is expressed as Kapp, d i , then the microchannel gas flow rate can be expressed according to Darcy's law as

...

Embodiment 3

[0270] Example 3 - Shale Apparent Permeability Model Considering Effects of Effective Stress and Matrix Shrinkage

[0271] The shale apparent permeability model considering the effective stress established in (2) above is for the gas flow process with constant pore pressure and variable effective stress. During the decompression and gas production process of shale reservoirs, as the pore pressure decreases, the adsorbed gas on the pore surface will be desorbed into free gas, the shale matrix will shrink, and the pore size will become larger. The matrix shrinkage effect will enhance the gas transport capacity of the pores. The correction coefficient of matrix shrinkage permeability is used as the correction coefficient of matrix shrinkage to the apparent permeability of porous media. The matrix shrinkage permeability correction factor is

[0272]

[0273] Where: ω s is the partial coefficient of permeability of shale organic matter shrinkage effect, dimension 1;

[0274]...

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Abstract

The invention relates to a shale apparent permeability prediction method based on pore structure characteristics. Based on the shale apparent permeability prediction method based on pore structure characteristics, a micro-pore channel apparent permeability model and a porous medium apparent permeability model are sequentially established. The shale apparent permeability prediction method based on the pore structure characteristics can be used for dynamically predicting the shale apparent permeability in the shale gas development process under the conditions of different burial depths and reservoir temperature and pressure. The change characteristics of gas transmission forms in microchannels with different pore diameters along with the change of pore pressure are considered, the influence of effective stress and matrix shrinkage on the shale apparent permeability is considered, and a theoretical derivation process of the distribution coefficient of the apparent permeability of the microchannels in the porous medium is clearly provided; The apparent permeability distribution coefficient is calculated by adopting shale pore structure measured data obtained by a gas adsorption method experiment, and then shale apparent permeability prediction based on pore structure characteristics is realized.

Description

technical field [0001] The invention relates to a shale apparent permeability prediction method based on pore structure characteristics. Background technique [0002] Shale gas is an unconventional natural gas with huge potential resources. With the deepening of exploration and development, research on shale pore structure characteristics and seepage mechanism has been paid more and more attention, and great progress has been made. Reed, Sondergeld, Curtis et al. found that there are a large number of nanoscale pores in shale. Loucks et al. studied the nano-micro pores in the Barnett shale, and divided the pores into micro-pores (diameter greater than 0.75 μm) and nano-pores (diameter less than 0.75 μm) according to the pore scale. Nie Haikuan et al. believe that the main types of shale reservoirs are fractures and pores, the scale of pores and fractures is at the nanometer and micron level, and the giant and large fractures are at the millimeter level. Due to the multi-sc...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06F17/15G06F17/18G06Q10/04G01N15/08
CPCG06F30/20G06F17/15G06F17/18G06Q10/04G01N15/082G01N2015/0866Y02A10/40
Inventor 薛培赵谦平祁攀文曹成张建锋史鹏孙建博尹锦涛刘刚王晖徐杰
Owner SHAANXI YANCHANG PETROLEUM GRP