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Method for predicting volume content of corrosion pores in carbonate reservoir

A carbonate reservoir, pore volume technology, applied in the direction of measuring devices, permeability/surface area analysis, suspension and porous material analysis, etc., can solve the problem of pore type volume content prediction, which cannot be used for carbonate reservoirs , unable to characterize the influence of elastic modulus, etc.

Inactive Publication Date: 2017-01-04
PETROCHINA CO LTD +1
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Problems solved by technology

However, the classical critical porosity model does not establish the relationship between the rock framework of carbonate reservoirs and the pore type, so it cannot characterize the influence of pore type on the elastic modulus of carbonate rock framework, and thus cannot carry out Volume Content Prediction of Different Pore Types in Carbonate Reservoirs

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  • Method for predicting volume content of corrosion pores in carbonate reservoir
  • Method for predicting volume content of corrosion pores in carbonate reservoir
  • Method for predicting volume content of corrosion pores in carbonate reservoir

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Embodiment Construction

[0043] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0044] Such as figure 1 As shown, a method for predicting the volume content of dissolved pores in carbonate rock reservoirs includes the following steps:

[0045] Step 1: Obtain the P-wave velocity, S-wave velocity, density, porosity, volume content of mineral components and fluid saturation of carbonatite reservoir; figure 2 It is the logging curve of a gas-bearing well in an overseas oilfield, including carbonatite reservoir compressional wave velocity, shear wave velocity, density, porosity, mineral component volume content and fluid saturation.

[0046] Step 2: Calculate the actual measured saturated rock bulk modulus and shear modulus of the carbonate reservoir according to the P-wave velocity, S-wave velocity and density obtained in Step 1;

[0047] Such as figure 2 As shown, the above parameters are obtained by calculating the compressional...

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Abstract

The invention discloses a method for predicting the volume content of corrosion pores in a carbonate reservoir. The method comprises the following steps: step 1, obtaining physical parameters of the carbonate reservoir; step 2, based on the physical parameters obtained in the step 1, calculating the bulk modulus and shear modulus of saturated rock of an actually-measured carbonate reservoir; step 3, calculating the bulk modulus and shear modulus of a rock matrix of the carbonate reservoir and the bulk modulus of a pore fluid; step 4, establishing a dual-pore-medium critical porosity model, and calculating the bulk modulus and shear modulus of a rock framework of the carbonate reservoir; step 5, calculating the bulk modulus and shear modulus of saturated rock of the carbonate reservoir through a Geissmann equation; step 6, comparing the bulk modulus and shear modulus of saturated rock of the carbonate reservoir with the bulk modulus and shear modulus of saturated rock of the actually-measured carbonate reservoir, and calculating an error; and step 7, modifying the set volume content of corrosion pores, performing the step 4 to the step 6 in sequence, calculating an error corresponding to the set corrosion pore condition, and obtaining an optimal volume content of corrosion pores.

Description

technical field [0001] The invention relates to the field of prediction of carbonate rock reservoirs, in particular to a method for predicting volume content of dissolved pores in carbonate rock reservoirs. Background technique [0002] At present, carbonate reservoirs occupy an important position in the distribution of oil and gas in the world. Its oil and gas reserves account for about 50% of the world's total oil and gas reserves, and its oil and gas production accounts for more than 60% of the world's total oil and gas production. Carbonate reservoirs usually develop multiple types of pores, such as fractures, matrix pores, dissolution pores, etc., and these different types of pores vary in size and shape, and some can even span several orders of magnitude. The difficulty in predicting carbonate reservoirs is to find high-quality reservoirs with high recoverable reserves and high economic value, and dissolution pores are an important factor affecting the oil and gas rese...

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Application Information

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IPC IPC(8): G01N15/08
CPCG01N15/088
Inventor 张佳佳印兴耀张广智张繁昌王保丽梁锴
Owner PETROCHINA CO LTD
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