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Method of estimating permeability of low porosity and permeability reservoir

A technology with permeability and low porosity and permeability, which is applied in the field of petroleum geological exploration and development, and can solve problems such as application limitations, particle diameter and specific surface area, and difficulty in obtaining

Inactive Publication Date: 2016-11-23
BC P INC CHINA NAT PETROLEUM CORP +1
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0015] In summary, although the above methods can solve the reservoir permeability prediction problem to a certain extent, the particle diameter and specific surface area in these relationships are still difficult to obtain directly from well logging data.
Therefore, for complex lithology areas with low porosity and permeability, the application of existing permeability prediction methods is limited

Method used

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  • Method of estimating permeability of low porosity and permeability reservoir

Examples

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Embodiment 1

[0094] Example 1: Application of the permeability estimation model of the present invention in the evaluation of low porosity and permeability argillaceous sandstone reservoirs in western China

[0095] What is presented here is the permeability result calculated by applying the permeability model of the present invention to the actual logging data of medium-low permeability and ultra-low permeability reservoirs in a certain exploration area in western China. The lithology of the low porosity and permeability reservoirs in the study area is relatively complex, and the content of quartz, feldspar, cuttings and cement has a great influence on the response of acoustic wave, neutron and density porosity logging, especially the dolomite and The content of gray matter cement has a serious impact on the selection of skeleton parameters in porosity calculation. In order to eliminate the influence of porosity uncertainty on the performance evaluation of the permeability estimation model...

Embodiment 2

[0105] Example 2: Application of the permeability estimation model of the present invention in the evaluation of fractured reservoirs with low porosity and permeability in western China

[0106] Figure 6 The comparative relationship between the analyzed porosity / permeability of a section of well C in the study area and the porosity / permeability calculated by well logging is given. It can be seen from the figure that compared with well B above, the calculated porosity / permeability of a certain section of well C The porosity is obviously higher than the porosity of the core analysis. In fact, micro-fractures are generally developed in this interval, but the porosity of the core harvest interval and core analysis is not sensitive to micro-fractures. The rock core data of the fracture layer section accounts for less, and the cementation index obtained by the rock core analysis data basically does not reflect the influence of micro-cracks. Therefore, the permeability calculated by...

Embodiment 3

[0107] Example 3: Application of the permeability estimation model of the present invention in the evaluation of medium and high porosity and permeability reservoirs with microfractures in North China

[0108] Figure 7 What is shown is the comparison of the nuclear magnetic porosity and permeability at 3000.0-3010.0 meters in Well D with the core analysis results. There are 5 sample points in the figure. The results can be seen in the figure. They are all between 10-120mD, and the porosity is basically between 15%-22%, which belongs to medium-high porosity and permeability formation. The permeability (blue thick line) calculated by the permeability estimation method of the present invention is compared with the nuclear magnetic permeability (blue dotted line) and the rock core analysis permeability (green dot), and the results in the figure show that the three are consistent Well, and the permeability model of the present invention shows better predictive performance. In pa...

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Abstract

The invention discloses a method of estimating permeability of a low porosity and permeability reservoir and belongs to the field of petroleum geological prospecting. The method comprises: calculating limestone porosity according to acoustic, neutron and density logging curve; calculating first shale content index according natural potential logging curve; calculating second shale content index according to natural gamma logging curve; calculating lithological index of reservoir rock according to the limestone porosity calculated according to the acoustic, neutron and density logging curve; calculating particle diameter of the reservoir rock according to the first shale content index, the second shale content index and the reservoir lithological index; calculating cementation index according to statistical fitting relation between resistivity and the porosity; estimating permeability according to the particle diameter d of the reservoir rock and the cementation index m of the reservoir. High-precision calculation results for the permeability of the low porosity and permeability reservoir are achieved by using the calculation relation between the various logging curves and the permeability of the invention, and a powerful tool is provided for evaluating the permeability of a reservoir with low porosity and permeability, complex lithology and complex porous structure.

Description

technical field [0001] The invention belongs to the field of petroleum geological exploration and development, and relates to a method for estimating the permeability of low porosity and permeability reservoirs. It realizes the calculation of reservoir permeability by comprehensively using rock-electric parameters, particle diameters and well logging data, and belongs to an effective method in petroleum exploration and development. It is a new method for evaluating reservoir permeability, which is different from traditional permeability experiment measurement or empirical relationship prediction. Background technique [0002] Permeability is a key physical parameter in reservoir evaluation and productivity prediction, which controls the oil and gas accumulation, oil and gas generation and oil and gas recovery efficiency of the reservoir. So far, there is still a lack of a continuous in-situ testing method to directly obtain the permeability, and most of the permeability data...

Claims

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Application Information

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IPC IPC(8): G01V11/00
CPCG01V11/00
Inventor 李振苓沈金松罗安银郭森魏帅帅李思张伟伟
Owner BC P INC CHINA NAT PETROLEUM CORP
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