Method and device for predicting permeability on basis of pore structures of carbonate rock

A pore structure, carbonate rock technology, used in measurement devices, permeability/surface area analysis, suspension and porous material analysis, etc. The rate relationship is not clear and other problems, so as to achieve the effect of good application effect, strong applicability and solid theoretical foundation.

Active Publication Date: 2018-06-19
PETROCHINA CO LTD
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Problems solved by technology

[0025] It has been agreed that the pore structure controls the permeability of reservoir rocks, especially carbonate reservoirs, which are controlled by sedimentation and diagenesis, have very complex pore structures and strong heterogeneity, resulting in the porosity-permeability The permeability relationship is not clear, and most of the permeability prediction methods based on clastic rocks are not applicable to carbonate rocks. Theoretical and practical research results show that the permeability of porous carbonate rock reservoirs is obviously controlled by the pore structure of the reservoir rocks. Especially the control of

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  • Method and device for predicting permeability on basis of pore structures of carbonate rock
  • Method and device for predicting permeability on basis of pore structures of carbonate rock
  • Method and device for predicting permeability on basis of pore structures of carbonate rock

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Embodiment

[0078] This example provides a method for predicting permeability based on the pore structure of carbonate rocks. The predicted reservoir is the M group reservoir in W Oilfield, which is a typical porous carbonate reservoir with few fractures. Under the dual control of sedimentation and diagenesis, the reservoir rock type and pore type are complex Diversity leads to complex pore structure and strong heterogeneity of the reservoir.

[0079] The prediction method specifically includes the following steps (for the flow chart, see figure 1 ):

[0080] Step 1. Reservoir core sampling: 3 coring wells in the study area were selected to sample the formation system of Group M, with a sampling interval of about 1m. Each well took more than 100 samples, and a total of 352 samples were sampled to establish a sample bank. The sampling density is relatively high, covering all rock types, which is representative;

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Abstract

The invention provides a method and a device for predicting permeability on the basis of pore structures of carbonate rock. According to the method, firstly, the pore structures are classified on thebasis of similarity level of mercury injection curves, then each type of pore structure reservoir is analyzed with a mathematical statistics method, key pore throat size Rs for controlling permeability is identified, and the relation between the key pore throat size Rs and the permeability of each type of pore structure is established, so that the permeability of a highly anisotropic reservoir canbe predicted. According to the provided scheme, microscale and macroscale combination is realized by comprehensively using a core, property testing, mercury injection and well logging, the theoretical basis is firm, the operability is high, and practice proves that the method and the device have good application effect and high applicability to porous-type carbonate rock reservoirs, can effectively predict the permeability of the carbonate rock and have great significance in identification of barriers and interlayers of highly anisotropic carbonate rock as well as design and regulation of oiland gas field development programs.

Description

technical field [0001] The invention belongs to the technical field of oil field development, and in particular relates to a method and a device for predicting permeability based on carbonate rock pore structure. Background technique [0002] The permeability of reservoir rock refers to the property that rock allows fluid to pass under the action of pressure difference. It is a key parameter reflecting the seepage capacity of reservoir rock. Accurate prediction of permeability is very important for the design and adjustment of oil and gas field development plans. The prediction of reservoir permeability mainly has the following methods: [0003] (1) Prediction of permeability based on the relationship between porosity and permeability [0004] Herron found that the logarithm of permeability has a linear correlation with porosity through the study of single-porosity sandstone reservoirs: [0005] [0006] In the formula, K is the permeability, mD; is porosity, %; a and...

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Application Information

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IPC IPC(8): G01N15/08
CPCG01N15/0826
Inventor 刘航宇田中元郭睿邓亚徐振永
Owner PETROCHINA CO LTD
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