CN108982320A - It is a kind of to carry out Complicated Pore Structures reservoir permeability calculation method using grain size parameter - Google Patents

It is a kind of to carry out Complicated Pore Structures reservoir permeability calculation method using grain size parameter Download PDF

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Publication number
CN108982320A
CN108982320A CN201810751507.9A CN201810751507A CN108982320A CN 108982320 A CN108982320 A CN 108982320A CN 201810751507 A CN201810751507 A CN 201810751507A CN 108982320 A CN108982320 A CN 108982320A
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permeability
parameter
reservoir
porosity
pore structures
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CN108982320B (en
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汤翟
王利娟
刘土亮
骆玉虎
曾少军
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China National Offshore Oil Corp CNOOC
CNOOC China Ltd Zhanjiang Branch
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China National Offshore Oil Corp CNOOC
CNOOC China Ltd Zhanjiang Branch
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
    • G01N15/08—Investigating permeability, pore-volume, or surface area of porous materials
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
    • G01N15/08—Investigating permeability, pore-volume, or surface area of porous materials
    • G01N15/088—Investigating volume, surface area, size or distribution of pores; Porosimetry

Abstract

Complicated Pore Structures reservoir permeability calculation method is carried out using grain size parameter the invention discloses a kind of, show that grain size parameter size can reflect stratum permeability by theory deduction, therefore, classification chart expropriation of land layer can be carried out by grain-size characteristic parameter, then classification fitting is carried out to the core analysis porosity of different reservoir type and permeability and establishes calculation model of permeability, the shale content and grain-size characteristic parameter obtained simultaneously using Granularity material establishes model, it can discrimination of reservoir type using the shale content that well logging calculates, according to the Reservoir type of differentiation, Complicated Pore Structures reservoir permeability parameter can be obtained using the porosity that well logging calculates.The present invention solves the problems, such as that Complicated Pore Structures stratum conventional method computing permeability precision is low.The present invention calculates nearly more than 20 well of permeability curve in THE WESTERN SOUTH CHINA SEA sea area, and computing permeability precision reaches half of order of magnitude, can preferably meet geological research needs, have the advantages of simple structure and easy realization.

Description

It is a kind of to carry out Complicated Pore Structures reservoir permeability calculation method using grain size parameter
Technical field
Complicated Pore Structures reservoir permeability calculation method is carried out using grain size parameter the present invention relates to a kind of, in particular to It is a kind of to carry out Complicated Pore Structures reservoir permeability calculation method using grain size parameter.
Background technique
In the permeability of open hole well is explained, the porosity and permeability usually obtained using core experiment analysis is carried out Fitting formula, input formation porosity seek the permeability on stratum.But Complicated Pore Structures reservoir, core experiment analysis Porosity is directly fitted with permeability, and correlation is very poor, therefore the in-place permeability precision sought using the formula of fitting is very Difference.To improve this kind of reservoir permeability evaluation precision, it is common practice to according to log clustering different reservoir type It carries out classification fitting to seek, improves Explanation Accuracy to a certain extent, but be not introduced into stratum geological information, this kind of classification cannot fill Divide the characteristics of characterizing all kinds of reservoirs, computing permeability error can be increased with type of error calculating sometimes, these are all physical presence And urgent problem.
Summary of the invention
Complicated Pore Structures reservoir permeability calculating side is carried out using grain size parameter the purpose of the present invention is to provide a kind of Method solves the problems, such as proposed in background technique.
To achieve the above object, the invention provides the following technical scheme: implementation of the present invention is, based on rock core hole seep and The development Complicated Pore Structures reservoir permeability calculation method of granularity experiment, the specific steps are as follows:
1) experiment rock core preparation: choosing the muti-piece core sample of Different Strata, carries out washing oil to rock core, drying pre-processes.
2) porosity φ, the permeability k parameter of lacunarity analysis instrument measurement muti-piece rock core are utilized.
3) grain size parameter for utilizing particle size analyzer muti-piece rock core, obtains median grain diameter Md, Trask sorting system Number So。
4) permeability and grain size parameter relationship are derived, derivation method is as follows:
Assuming that being L by rock sample length, Rock Profiles area is that the porous media rock of A is equivalent to have in unit cross-sectional area N capillary, radius are the bundle of parallel capillary tube model of r, then
In formula, φ is rock total porosity, decimal；
L is rock length, cm；
A is Rock Profiles area, cm2；
N is the number of capillary on unit sectional area, root/cm2；
R is capillary radius, cm；
Vs、Vp、VbRespectively skeleton volume, pore volume and rock volume, cm3.Define the specific surface of rock are as follows:
In formula, S is rock specific surface, cm2/cm3；
AsFor total internal surface area of all capillaries, cm3。
Combine upper two formula to obtain:
Specific surface based on skeleton volume:
Specific surface based on pore volume:
Pass through the flow of the imagination rock according to Poiseuille's law are as follows:
In formula, Q is flow, cm3/s；
μ is the dynamic viscosity of fluid, dyns/cm2；
Δ p is two sections of pressure differences of capillary, dyn.
According to Darcy's law
In formula, K is permeability, cm2。
According to equivalent seepage principle, the two flow should be identical, then:
Therefore the permeability of imaginary rock are as follows:
It can be reduced to
Carman-Kozeny introduces the parameter τ of characterization duct tortuosity, has modified bundle of capillary tubes pack
The particle diameter distribution of practical core sample is typically compliant with normal distribution, divides grain in detail in sedimentary geology research Diameter carries out mathematical statistics and mapping and parameter calculating, usually converts φ value for grade division, it may be assumed that
φ=- log2D, D is particle diameter, mm in formula.Then have:
In formulaFor the median grain diameter for using φ value scale in sedimentary geology, σφFor sorting coefficient, then
In formula, MdFor median grain diameter, mm.
Panda in 1994 derives the specific surface and the theory relation of median grain diameter and sorting of reservoir rock,
Its physical significance is to point out that rock specific surface is controlled by median grain diameter and sorting, is inversely proportional with median grain diameter, with Sort directly proportional, i.e., particle is thinner, and it is bigger to sort more poor then reservoir specific surface.
Comprehensive above formula, can obtain permeability are as follows:
φ is rock total porosity, decimal, the not partial size of φ value scale in formula.
Tortuosity τ is difficult to continuously be sought by well-log information at present, therefore directly seeks permeability hardly possible using above formula To realize.In summary it analyzes, can influence low permeability sandstone reservoir permeability and control the principal element of its height should be extremely Less include three porosity, median grain diameter and sorting aspects, therefore, it is as follows to define particle property parameter ξ herein:
In formula,MdΦThe particle size average scale calculated for φ value；So, Trask sorting coefficient, Dimensionless.
The rock physics meaning of particle property parameter ξ is that numerical value is bigger, and instruction reservoir partial size is thicker, and it is better to sort, Therefore under the conditions of identical porosity, permeability is presented to be increased and increased trend with particle property parameter ξ.
5) particle property parameter M is used according to core analysis dataz 2*SoClassify to reservoir, then to every a kind of reservoir Core analysis permeability and porosity are fitted to exponential function relation, that is, establish every a kind of reservoir permeability computation model.
6) shale content of core analysis and particle property parameter are fitted, opening relationships formula, input conventional logging The shale content that method calculates, obtains continuous grain-size characteristic parameter curve, judges the Reservoir type that each depth point represents.
7) according to Reservoir type, porosity, that is, exportable continuous computing permeability knot that traditional logging methods calculate is inputted Fruit.
Compared with prior art, beneficial effects of the present invention are as follows:
The present invention solves the problems, such as that Complicated Pore Structures stratum conventional method computing permeability precision is low, and model calculates knot Fruit is accurate, applied widely, and the present invention calculates more than 20 well of permeability curve in THE WESTERN SOUTH CHINA SEA sea area, and computing permeability precision reaches To half of order of magnitude, it can preferably meet geological research needs.
Detailed description of the invention
Upon reading the detailed description of non-limiting embodiments with reference to the following drawings, other feature of the invention, Objects and advantages will become more apparent upon:
Fig. 1, which is that the present invention is a kind of, carries out the calculation method real work of Complicated Pore Structures reservoir permeability using grain size parameter Process detail drawing；
Fig. 2, which is that the present invention is a kind of, carries out Complicated Pore Structures reservoir permeability calculation method based on granularity using grain size parameter Seep relational graph in the hole of characteristic parameter Reservoir Classification；
Fig. 3, which is that the present invention is a kind of, carries out Complicated Pore Structures reservoir permeability calculation method shale content using grain size parameter (< 0.008mm) and particle property parameters relationship cross plot；
Fig. 4, which is that the present invention is a kind of, carries out the invention application of Complicated Pore Structures reservoir permeability calculation method using grain size parameter Result map.
Specific embodiment
To be easy to understand the technical means, the creative features, the aims and the efficiencies achieved by the present invention, below with reference to Specific embodiment, the present invention is further explained.
Fig. 1-4 is please referred to, the present invention provides a kind of technical solution:
1) experiment rock core preparation: choosing the muti-piece core sample of different rock cores, carries out washing oil to rock core, drying pre-processes.
2) porosity φ, the permeability k parameter of lacunarity analysis instrument measurement muti-piece rock core are utilized.
3) grain size parameter for utilizing particle size analyzer muti-piece rock core obtains the particle size average scale that φ value calculates Mz, Trask sorting coefficient So, and calculate particle property parameter Mz 2*So。
4) particle property parameter M is used according to core analysis dataz 2*SoClassify to reservoir, then to every a kind of reservoir Core analysis permeability and porosity be fitted to exponential function relation, that is, establish every a kind of reservoir permeability computation model (figure 2)。
5) shale content of core analysis and particle property parameter are fitted, opening relationships formula (Fig. 3), input is conventional The shale content that logging method calculates, obtains continuous grain-size characteristic parameter curve, judges the reservoir class that each depth point represents Type.
6) according to Reservoir type, porosity, that is, exportable computing permeability result (figure that traditional logging methods calculate is inputted 4)。
It is of the present invention a kind of using grain size parameter progress Complicated Pore Structures reservoir permeability calculation method, first originally Invention solves the problems, such as that Complicated Pore Structures stratum conventional method computing permeability precision is low, and the model calculation is accurate, suitable Wide with range, secondly the present invention calculates more than 20 well of permeability curve in THE WESTERN SOUTH CHINA SEA sea area, and computing permeability precision reaches half A order of magnitude can preferably meet geological research needs.
The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention, for this field skill For art personnel, it is clear that invention is not limited to the details of the above exemplary embodiments, and without departing substantially from spirit of the invention or In the case where essential characteristic, the present invention can be realized in other specific forms.Therefore, in all respects, should all incite somebody to action Embodiment regards exemplary as, and is non-limiting, the scope of the present invention by appended claims rather than on state Bright restriction, it is intended that including all changes that fall within the meaning and scope of the equivalent elements of the claims in the present invention It is interior.
In addition, it should be understood that although this specification is described in terms of embodiments, but not each embodiment is only wrapped Containing an independent technical solution, this description of the specification is merely for the sake of clarity, and those skilled in the art should It considers the specification as a whole, the technical solutions in the various embodiments may also be suitably combined, forms those skilled in the art The other embodiments being understood that.

Claims (1)

1. a kind of carry out Complicated Pore Structures reservoir permeability calculation method using grain size parameter, which is characterized in that this method tool Body step are as follows:
S1, experiment rock core preparation: choosing the muti-piece core sample of different rock cores, carries out washing oil to rock core, drying pre-processes；
S2, porosity φ, the permeability k parameter of lacunarity analysis instrument measurement muti-piece rock core are utilized；
S3, permeability and grain size parameter relationship are derived are as follows:
In formula: k is permeability, mD；
φ is porosity, is indicated with %；
S is rock specific surface, cm2/cm3；
τ is the parameter of duct tortuosity, dimensionless；
MdFor median grain diameter, mm；
σφFor sorting coefficient, dimensionless；
S4, the grain size parameter of particle size analyzer muti-piece rock core, acquisition median grain diameter M are utilizedd, Trask sorting coefficient So, And define particle property parameter ξ:
In formula,
MdFor median grain diameter, mm；
MdΦThe particle size average scale calculated for φ value (is reduced to M afterwardsz), dimensionless；
SoFor Trask sorting coefficient, dimensionless；
S5, particle property parameter M is used according to core analysis dataz 2*SoClassify to reservoir, then to every a kind of reservoir core Analysis permeability and porosity are fitted to exponential function relation, that is, establish every a kind of reservoir permeability computation model；
S6, the shale content and particle property parameter of core analysis are fitted, opening relationships formula, input traditional logging methods The shale content of calculating obtains continuous grain-size characteristic parameter curve, judges the Reservoir type that each depth point represents；
S7, the porosity, that is, exportable continuous computing permeability result calculated according to Reservoir type, input traditional logging methods.
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CN109580454A (en) * 2019-01-05 2019-04-05 中国海洋石油集团有限公司 A method of compact reservoir Fluid Sensitivity is tested with pressure oscillation method
CN112287610A (en) * 2020-09-18 2021-01-29 中国地质大学（武汉） Calculation method for dividing low-permeability reservoir rock hydraulic mobile phase based on fractal theory
CN112800632A (en) * 2021-04-01 2021-05-14 西南石油大学 Sandstone reservoir permeability effective stress coefficient calculation method based on granular model
CN114088595A (en) * 2020-08-24 2022-02-25 中国石油化工股份有限公司 Method for evaluating permeability of alluvial fan-phase overflow sandstone reservoir based on granularity data
CN116757096A (en) * 2023-08-16 2023-09-15 中国石油天然气集团有限公司 Determination method, device, equipment and medium for deep, thin and compact sandstone gas reservoir development well

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Cited By (7)

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Publication number Priority date Publication date Assignee Title
CN109580454A (en) * 2019-01-05 2019-04-05 中国海洋石油集团有限公司 A method of compact reservoir Fluid Sensitivity is tested with pressure oscillation method
CN109580454B (en) * 2019-01-05 2022-02-08 中国海洋石油集团有限公司 Method for testing fluid sensitivity of tight reservoir by using pressure oscillation method
CN114088595A (en) * 2020-08-24 2022-02-25 中国石油化工股份有限公司 Method for evaluating permeability of alluvial fan-phase overflow sandstone reservoir based on granularity data
CN112287610A (en) * 2020-09-18 2021-01-29 中国地质大学（武汉） Calculation method for dividing low-permeability reservoir rock hydraulic mobile phase based on fractal theory
CN112800632A (en) * 2021-04-01 2021-05-14 西南石油大学 Sandstone reservoir permeability effective stress coefficient calculation method based on granular model
CN116757096A (en) * 2023-08-16 2023-09-15 中国石油天然气集团有限公司 Determination method, device, equipment and medium for deep, thin and compact sandstone gas reservoir development well
CN116757096B (en) * 2023-08-16 2024-04-05 中国石油天然气集团有限公司 Determination method, device, equipment and medium for deep, thin and compact sandstone gas reservoir development well

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