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CN108195735A - Capillary pressure curve classification method - Google Patents

Capillary pressure curve classification method Download PDF

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Publication number
CN108195735A
CN108195735A CN201711296710.3A CN201711296710A CN108195735A CN 108195735 A CN108195735 A CN 108195735A CN 201711296710 A CN201711296710 A CN 201711296710A CN 108195735 A CN108195735 A CN 108195735A
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China
Prior art keywords
curves
capillary pressure
curve
pressure curve
pressure
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CN201711296710.3A
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CN108195735B (en
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陈明江
韩翀
黄婷婷
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China National Petroleum Corp
CNPC Chuanqing Drilling Engineering Co Ltd
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China National Petroleum Corp
CNPC Chuanqing Drilling Engineering Co Ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
    • G01N15/08Investigating permeability, pore-volume, or surface area of porous materials
    • G01N15/088Investigating volume, surface area, size or distribution of pores; Porosimetry

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  • Dispersion Chemistry (AREA)
  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
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  • Measuring Volume Flow (AREA)
  • Earth Drilling (AREA)

Abstract

The invention discloses a capillary pressure curve classification method, which comprises the steps of fitting a capillary pressure curve, and determining the number N of pore systems and displacement pressure P reflected by the capillary pressure curvedAnd according to PdSorting the curves by size; then comparing the similarity of any two curves to ensure that the two curves have the same N value, calculating the absolute value of the saturation difference corresponding to the two capillary pressure curves one by one, and if the saturation difference of all the points is less than the allowable error, dividing the two curves into the same category. The invention ensures the similarity of the overall shapes of the curves, can adjust the classification precision according to the requirements and has larger flexibility.

Description

Capillary pressure curve sorting technique
Technical field
The present invention relates to a kind of capillary pressure curve sorting techniques, quantitatively divide for the capillary pressure curve of pore media Analysis belongs to reservoir rock pore structure evaluation field.
Background technology
For reservoir rock pore configuration research, capillary pressure experiment is to study the basis of throat size, different hairs Pipe pressure tracing pattern feature reflects the different pore structure characteristic of rock.In evaluating reservoir, usually according to capillary pressure The morphological feature of curve classifies to reservoir, so as to improve the accuracy of evaluating reservoir.Therefore, capillary pressure curve is carried out Accurately classification is the basis of reservoir classification and evaluation.
Traditional capillary pressure curve sorting technique is nearly all to utilize Pd(Replacement pressure)、R35(Mercury saturation degree 35% is right The throat radius answered)、R50(50% corresponding throat radius of mercury saturation degree)And Swir(Irreducible water saturation)Wait curvilinear characteristics parameter One or more of, classified by the method for cluster to it.These sorting techniques are there are clearly disadvantageous part, usually The larger curve of morphological differences is divided into same class, especially the application effect in the stronger carbonate rock of anisotropism compared with Difference.Such as Fig. 1(a)In two capillary pressure curves significantly there is different morphological features, but R35 and R50 values of two curves It is all very close, if classified according only to R35 or R50 to it, the two can be divided into same class;Equally in Fig. 1(b) In, according only to PdAnd SwirAlso the curve that two can be differed greatly is divided into same class.Even with Pd, R35, R50 and SwirDeng more A parameter carries out compressive classification, it is also possible to which differ greatly two curves are divided into same class, such as Fig. 1(c)It is shown.
It can be seen that the prior art classifies to the classification of capillary pressure curve only in accordance with characteristic parameter, do not account for The similitude of curve configuration, except accuracy, rapidity and the flexibility of low capillary pressure curve classification.
Invention content
It is an object of the invention to overcome the above problem of the existing technology, a kind of capillary pressure curve classification side is provided Method.Present invention ensures that the similitude of curve configuration, and the precision of classification can be adjusted as needed, have larger flexible Property.
To achieve the above object, the technical solution adopted by the present invention is as follows:
A kind of capillary pressure curve sorting technique, it is characterised in that:Capillary pressure curve is fitted first, determines hollow billet pressure The pore system quantity N and replacement pressure P that force curve is reflectedd, and according to PdSize curve is ranked up;Then compare The similitude of arbitrary two curves, it is ensured that two curves have identical N values, and pressure spot calculates two capillary pressure curves one by one The absolute value of corresponding saturation degree difference, if the saturation degree difference of all the points is both less than allowable error, by two curves It is divided into same category.
In the method, utilize(1)Formula is fitted all original capillary pressure curves one by one, determines each curve The pore system quantity N and replacement pressure P reflectedd
(1)
In formula:
Pc- note mercury pressure(Bar or Mpa);
Sw- water saturation(Decimal);
The quantity of N-pore system(Dimensionless);
A, the coefficient of b, c, d-needs fitting(Dimensionless);
tanh- hyperbolic tangent function.
In the method, by replacement pressure PdPrinciple from high to low, is ranked up capillary pressure curve, compiles successively Number, and the category attribute of all curves is initialized as 0.
In the method, fluid saturation allowable error Err is determined, i.e., two similar curves are corresponding to arbitrary pressure spot Fluid saturation absolute value of the difference maximum value.
The maximum absolute value value is bigger, and classification is thicker, and obtained class categories are fewer;Maximum absolute value value is smaller, Classification is finer, and class categories are more.
The maximum absolute value value is determined according to the requirement of the quantity and nicety of grading of capillary pressure curve, if classification It is relatively thick, then the value between 0.1 ~ 0.2;Such as sophisticated category, then the value between 0.05 ~ 0.1.
It is described that two curves are divided into same category, compared by loop iteration, allow each curve all with it is other All curves carry out a similarity system design, if two curves have identical N values, and two songs at each pressure spot The absolute value of fluid saturation difference corresponding to line is both less than allowable error Err, then two curves is divided into same category.
It is described two curves are divided into same category to be specially:In arbitrary pressure spot PciLocate, corresponding to two curves Saturation degree is respectively SwA and SwB, and absolute difference is | SwB-SwA |, if all met at all pressure spots | SwB-SwA |< Err then illustrates that two tracing patterns are similar.
Advantage using the present invention is:
1st, the present invention classifies according to the quantity of pore system, it is ensured that the capillary pressure with different aperture system quantity is bent Line belongs to different classifications.
2nd, the present invention is by comparing the saturation difference corresponding to each pressure spot, it is ensured that the phase of curve configuration Like property.
3rd, conventional method is unable to control the precision of classification, and method proposed by the present invention can adjust the essence of classification as needed Degree has larger flexibility.
To sum up, method proposed by the present invention can carry out fast automatic classification to a large amount of capillary pressure curves, suitable for any The capillary pressure curve of form has very big flexibility, is reservoir classification and evaluation, rock type division, pore configuration research It lays a good foundation.
Description of the drawings
Fig. 1 a-c are existing general characteristics parametric classification schematic diagram;
Fig. 2 is the corresponding saturation degree mathematic interpolation schematic diagram of arbitrary pressure spot on capillary pressure curve.
Specific embodiment
Embodiment 1
A kind of capillary pressure curve sorting technique, is first fitted capillary pressure curve, determines that capillary pressure curve institute is anti- The pore system quantity N and replacement pressure P reflectedd, and according to PdSize curve is ranked up;Then more arbitrary two songs The similitude of line, it is ensured that two curves have identical N values, and pressure spot calculates satisfying corresponding to two capillary pressure curves one by one With the absolute value of degree difference, if the saturation degree difference of all the points is both less than allowable error, two curves are divided into same Classification.
In the method, utilize(1)Formula is fitted all original capillary pressure curves one by one, determines each curve The pore system quantity N and replacement pressure P reflectedd
(1)
In formula:
Pc- note mercury pressure(Bar or Mpa);
Sw- water saturation(Decimal);
The quantity of N-pore system(Dimensionless);
A, the coefficient of b, c, d-needs fitting(Dimensionless);
tanh- hyperbolic tangent function.
In the method, by replacement pressure PdPrinciple from high to low, is ranked up capillary pressure curve, compiles successively Number, and the category attribute of all curves is initialized as 0.
In the method, fluid saturation allowable error Err is determined, i.e., two similar curves are corresponding to arbitrary pressure spot Fluid saturation absolute value of the difference maximum value.
The maximum absolute value value is bigger, and classification is thicker, and obtained class categories are fewer;Maximum absolute value value is smaller, Classification is finer, and class categories are more.
The maximum absolute value value is determined according to the requirement of the quantity and nicety of grading of capillary pressure curve, if classification It is relatively thick, then the value between 0.1 ~ 0.2;Such as sophisticated category, then the value between 0.05 ~ 0.1.
It is described that two curves are divided into same category, compared by loop iteration, allow each curve all with it is other All curves carry out a similarity system design, if two curves have identical N values, and two songs at each pressure spot The absolute value of fluid saturation difference corresponding to line is both less than allowable error Err, then two curves is divided into same category.
It is described two curves are divided into same category to be specially:In arbitrary pressure spot PciLocate, corresponding to two curves Saturation degree is respectively SwA and SwB, and absolute difference is | SwB-SwA |, if all met at all pressure spots | SwB-SwA |< Err then illustrates that two tracing patterns are similar.
Embodiment 2
Capillary pressure curve is fluid saturation(Wetting phase or non-wetted phase)Pressure-dependent curve, the hole knot with rock Structure feature is closely related.Two similar capillary pressure curves, the fluid under the conditions of the uniform pressure corresponding to two curves are satisfied Should be very close with degree, illustrate that two curves do not have similitude, and reflect difference if fluid saturation differs greatly Pore structure characteristic.Capillary pressure curve automatic classification method proposed by the present invention, the method recycled by double iterative, allows Each curve all carries out a similarity system design with other all curves, and ensures that same class curve has identical N values.From After the completion of dynamic classification, each curve has the category attribute value of an assigned integer(GP), identical property value then belongs to Same category.
Based on this principle, the automatic classification method of capillary pressure curve proposed by the present invention specifically includes following four step Suddenly:
The first step utilizes(1)Formula is fitted all original capillary pressure curves one by one, determines what each curve was reflected Pore system quantity(N)And replacement pressure(Pd);
(1)
In formula:
Pc- note mercury pressure(Bar or Mpa);
Sw- water saturation(Decimal);
The quantity of N-pore system(Dimensionless);
A, the coefficient of b, c, d-needs fitting(Dimensionless);
tanh- hyperbolic tangent function.
Second step, by replacement pressure PdPrinciple from high to low, is ranked up capillary pressure curve, number consecutively, and The category attribute of all curves is initialized as 0.
Third walks, and determines fluid saturation allowable error Err, i.e., two similar curves are in the stream corresponding to arbitrary pressure spot The absolute value of the difference maximum value of body saturation degree.The value is bigger, and classification is thicker, and obtained class categories are fewer;The value is smaller, point Class is finer, and class categories are more.Usually can the value be determined according to the requirement of the quantity and nicety of grading of capillary pressure curve, If classification it is thicker, can between 0.1 ~ 0.2 value;Such as require sophisticated category, then can between 0.05 ~ 0.1 value.
4th step, loop iteration compare, and each curve is allowed all to carry out a similarity system design with other all curves.Such as Two curves of fruit have identical N values, and the fluid saturation difference at each pressure spot corresponding to two curves is exhausted Allowable error Err is both less than to value, then two curves are divided into same category.As shown in Fig. 2, in pressure spot PciPlace, two Saturation degree corresponding to curve is respectively SwA and SwB, and absolute difference is | SwB-SwA |.It is if all full at all pressure spots Foot | SwB-SwA |<Err then illustrates that two tracing patterns are similar.

Claims (8)

1. a kind of capillary pressure curve sorting technique, it is characterised in that:Capillary pressure curve is fitted first, determines hollow billet The pore system quantity N and replacement pressure P that pressure curve is reflectedd, and according to PdSize curve is ranked up;Then compare The similitude of more arbitrary two curves, it is ensured that two curves have identical N values, and pressure spot calculates two capillary pressure songs one by one The absolute value of saturation degree difference corresponding to line, if the saturation degree difference of all the points is both less than allowable error, by two songs Line is divided into same category.
2. capillary pressure curve sorting technique according to claim 1, it is characterised in that:In the method, utilize(1)Formula All original capillary pressure curves are fitted one by one, determine that pore system quantity N that each curve reflected and row drive Pressure Pd
(1)
In formula:
Pc- note mercury pressure(Bar or Mpa);
Sw- water saturation(Decimal);
The quantity of N-pore system(Dimensionless);
A, the coefficient of b, c, d-needs fitting(Dimensionless);
tanh- hyperbolic tangent function.
3. capillary pressure curve sorting technique according to claim 2, it is characterised in that:In the method, pressure is driven by row Power PdPrinciple from high to low, is ranked up capillary pressure curve, number consecutively, and the category attribute of all curves is initial Turn to 0.
4. capillary pressure curve sorting technique according to claim 3, it is characterised in that:In the method, fluid is determined Saturation degree allowable error Err, i.e. two similar curves the fluid saturation corresponding to arbitrary pressure spot absolute value of the difference most Big value.
5. capillary pressure curve sorting technique according to claim 4, it is characterised in that:The maximum absolute value value is got over Greatly, classify thicker, obtained class categories are fewer;Maximum absolute value value is smaller, and classification is finer, and class categories are more.
6. capillary pressure curve sorting technique according to claim 5, it is characterised in that:The maximum absolute value value according to The requirement of the quantity and nicety of grading of capillary pressure curve determines, if classifying thicker, the value between 0.1 ~ 0.2;Such as Sophisticated category, the then value between 0.05 ~ 0.1.
7. capillary pressure curve sorting technique according to claim 6, it is characterised in that:It is described to be divided into two curves In same category, compared by loop iteration, each curve is allowed all to carry out a similarity system design with other all curves, such as Two curves of fruit have identical N values, and the fluid saturation difference at each pressure spot corresponding to two curves is exhausted Allowable error Err is both less than to value, then two curves are divided into same category.
8. capillary pressure curve sorting technique according to claim 7, it is characterised in that:It is described to be divided into two curves Same category is specially:In arbitrary pressure spot PciPlace, the saturation degree corresponding to two curves are respectively SwA and SwB, difference Absolute value is | SwB-SwA |, if all met at all pressure spots | SwB-SwA |<Err then illustrates that two tracing patterns are similar.
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CN103267721A (en) * 2013-05-03 2013-08-28 中国石油天然气集团公司 Method for evaluating water containing characteristic and occurrence state of compact sandstone storage layer aperture
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CN103675945A (en) * 2013-12-17 2014-03-26 中国石油天然气股份有限公司 Method and equipment for measuring saturation of hole type reservoir
CN104573198A (en) * 2014-12-23 2015-04-29 长江大学 Method for reconstructing digital rock core and pore network model based on random fractal theory
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