CN110671100B - Method for manufacturing chessboard-like simulator in device for simulating rock heterogeneity - Google Patents

Method for manufacturing chessboard-like simulator in device for simulating rock heterogeneity Download PDF

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CN110671100B
CN110671100B CN201910956450.0A CN201910956450A CN110671100B CN 110671100 B CN110671100 B CN 110671100B CN 201910956450 A CN201910956450 A CN 201910956450A CN 110671100 B CN110671100 B CN 110671100B
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CN110671100A (en
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张继成
闫志明
范佳乐
冯诗淼
李清清
卢光夫
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Northeast Petroleum University
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    • EFIXED CONSTRUCTIONS
    • E21EARTH OR ROCK DRILLING; MINING
    • E21BEARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B49/00Testing the nature of borehole walls; Formation testing; Methods or apparatus for obtaining samples of soil or well fluids, specially adapted to earth drilling or wells
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
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    • G01N15/08Investigating permeability, pore-volume, or surface area of porous materials
    • G01N15/0806Details, e.g. sample holders, mounting samples for testing
    • 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
    • G01N15/082Investigating permeability by forcing a fluid through a sample
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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Abstract

A device for simulating rock heterogeneity by using a chessboard-like simulator and a manufacturing method thereof. The main aim is to realize accurate simulation of rock plane heterogeneity in a laboratory. The method is characterized in that: the device consists of an ISCO constant pressure pump, an electronic pressure gauge, a five-way valve, a guide pipe, units with different permeability of 2 multiplied by 10cm, a pouring heterogeneous simulation body and a measuring cylinder. The manufacturing of the device depends on the permeability distribution condition of actual rocks, firstly collects each layer of permeability data of all well points in the region to be simulated, and then disperses the permeability data through a variation function to obtain the permeability value of any point on a plane, so that the plane heterogeneity of the rocks can be fully embodied in a simulation body, the simulation of the plane heterogeneity of the rocks in a laboratory becomes possible, and the influence of the plane heterogeneity on oil deposit development can be conveniently researched.

Description

Method for manufacturing chessboard-like simulator in device for simulating rock heterogeneity
The technical field is as follows:
the invention relates to a simulator device for simulating rock heterogeneity in an oil displacement experiment.
Technical background:
the oil field in China mainly takes a continental facies clastic rock reservoir as a main part, the geological condition complexity is high, the heterogeneity is strong, the property difference of crude oil is large, and the exploitation efficiency is low. Therefore, there is a need for a comprehensive study of the heterogeneity. Because the reservoir is influenced by deposition, diagenesis and tectonic effects in the forming process, the spatial distribution and various attributes in the reservoir are changed, the heterogeneity of the reservoir is mainly researched by an experimental method at present, but the heterogeneity of the reservoir is simulated by simply connecting cores with different permeabilities in parallel. Because experiment conditions are limited, the number of cores connected in parallel cannot be too many, and meanwhile, the permeability value of each core is made by using the average value of the permeability of a certain research block, so that the heterogeneity difference between the core and an actual reservoir is large, the reservoir cannot be well simulated, and the result of a laboratory oil displacement experiment sometimes cannot well guide field development.
The invention content is as follows:
in order to solve the technical problems mentioned in the technical background, the invention provides a device for simulating rock heterogeneity by using a chessboard-like simulator. Heterogeneity research is an important content of reservoir description, and the spatial distribution of parameters of the heterogeneity research not only has randomness, but also has structural property. The invention takes the permeability data of all wells in a research area as the basis, and based on the basic theory of geostatistics about a variation function, the known permeability data are dispersed through the variation function according to some known permeability distribution data, so that the permeability value of any point on a plane can be obtained, and a chessboard-shaped simulation body model is formed to reflect the plane heterogeneous characteristics of rocks. The model is based on actual permeability distribution, discretized through a variation function, and simulated by a permeability unit of 2 multiplied by 10cm, so that the distribution rule of the permeability in the rock can be fully embodied in a chessboard-shaped simulation body. Meanwhile, a single five-point method well group is arranged on the chessboard-shaped simulation body which finely describes the permeability distribution of the rock, so that the simulation of the heterogeneous oil displacement experiment of the rock in a laboratory is closer to the actual situation, and a better experimental basis can be provided for field development.
The technical scheme of the invention is as follows: the utility model provides a device that utilizes pouring heterogeneous emulation body simulation rock heterogeneity, includes ISCO constant pressure pump, pipe, electronic pressure gauge, five-way valve, first screwed joint, flow regulator, second screwed joint and graduated flask, its unique character lies in:
the device also comprises a pouring heterogeneous simulation body; the casting heterogeneous simulation body consists of a plurality of unit bodies with different permeabilities, wherein the length, the width and the height of each unit body are respectively 2 cm, 2 cm and 10cm, and the plurality of unit bodies with different permeabilities form a square body; the different permeability of the unit bodies is obtained by discrete simulation of the numerical value of the actual stratum permeability.
And an epoxy resin pouring layer is poured on the outer layer of the poured heterogeneous simulation body, a single five-point method well group is arranged on the poured heterogeneous simulation body through the epoxy resin pouring layer, and the single five-point method well group adopts a mode that a central well is positioned in four diagonal wells.
And the two ends of the second threaded joint are simultaneously provided with threads, the lower end of the second threaded joint is connected with a threaded through hole of a single five-point method well group on the poured heterogeneous simulation body through screwing, and the upper end of the second threaded joint is connected with the threaded through hole of the flow regulator through screwing.
The first threaded joint is provided with threads only at one end, wherein the threaded end of the first threaded joint is connected with the threaded through hole of the flow regulator through screwing, and the unthreaded other end is connected with the second conduit.
The flow regulator is provided with two threaded through holes and a knob, the two threaded through holes are respectively connected with the first threaded joint and the second threaded joint, and the knob is used for controlling and simulating the injection speed and the extraction speed of an actual injection well and an actual extraction well.
The electronic pressure gauge is connected between the ISCO constant pressure pump and the liquid flow input port of the five-way valve through a first conduit; the four liquid flow output ports of the five-way valve are respectively connected with the non-threaded end of the first threaded joint connected into the four diagonal wells through the second conduit; the unthreaded end of the first nipple which opens into a central well is connected to the inlet of the measuring cylinder by means of a second conduit.
There are two methods for making the chessboard-like simulated mass simulating heterogeneous rock, the first method comprising the steps of:
firstly, limiting the simulated plane size of unit bodies (11) with different permeabilities to be 50 multiplied by 50m, the length of a region to be simulated to be L and the width of the region to be simulated to be D, and calculating the number of units with different permeabilities of each layer to be N according to a formula (1);
Figure GDA0003752016910000021
secondly, collecting permeability data of all well points of the area to be simulated, establishing a known permeability database, wherein the number of wells is Q, the number of layers is P, the coordinates of each well on an XOY plane are (i, j), and the permeability value of each well on the z-th layer is K z (i,j);
Thirdly, dispersing the first layer permeability data obtained in the second step to obtain the permeability value of any point on the first layer plane, namely knowing the distribution condition of the permeability on the first layer, and specifically calculating according to the following process:
firstly, according to the permeability value of the mth row of each well on the first layer, the permeability variation function between two wells with the distance h is calculated to be K by using a formula (2) z (h);
Wherein, the formula (2) is:
Figure GDA0003752016910000031
in the formula:
n (h) -the logarithm of two wells at a distance h.
Introduction of an intermediate replacement variable x for facilitating the expression of a computational process 1 、x 2 And y and b 0 ,b 1 And b 2 . Based on the result of formula (2), a series of x can be obtained using formula (3), formula (4) and formula (5) 1 、x 2 And y;
wherein, formula (3), formula (4) and formula (5) are respectively:
x 1 =h (3)
x 2 =-h 3 (4)
y=K z (h) (5)
then, the obtained x 1 、x 2 Substituting y into equation (6), fitting the data by linear programming method to obtain b 0 ,b 1 ,b 2
Wherein, the formula (6) is:
y=b 0 +b 1 x 1 +b 2 x 2 (6)
by comparing equation (6) and equation (7), equations (8), (9) and (10) can be obtained as follows:
Figure GDA0003752016910000032
Figure GDA0003752016910000033
C 0 =b 0 (9)
Figure GDA0003752016910000041
finally, a variation function equation of the permeability of the mth row on the first layer can be determined, as shown in formula (11), namely, half of the variance of the permeability of any two points on the mth row on the first layer is obtained, so that the permeability value after dispersion on the mth row on the first layer can be obtained, and the distribution condition of the permeability on the mth row on the first layer can be obtained;
wherein, formula (11) is:
Figure GDA0003752016910000042
in the formula:
a-range with correlation between permeabilities within this range and no correlation between permeability outside the range;
C 0 -a block value reflecting the variation amplitude of the permeability variation function;
C 1 the base station value, which varies greatly over short distances due to a number of factors;
h is the distance between two points;
obtaining a variation function equation of any row of the known partial permeability on the first layer by using the same method, thereby obtaining the permeability value after dispersion on the row, namely obtaining the distribution situation of the permeability on the row; then, based on the permeability value of each row in the transverse direction, solving a variation function equation of any column in the longitudinal direction, so that the permeability value of each point on the first layer can be known, and the permeability distribution condition of the first layer can be obtained;
fourthly, repeating the third step to obtain the permeability value of each point on the second layer, namely obtaining the permeability distribution condition of the second layer, and obtaining the permeability values and the permeability distribution conditions of all the layers until the permeability value of each point on the P layer is obtained;
fifthly, in order to reduce the manufacturing number of permeability units, simplify the manufacturing steps of the simulation body, and divide different permeability intervals for statistical analysis within the allowable range of experimental error; performing statistical analysis on the permeability data of each layer obtained in the third step and the fourth step, and determining the number of the permeability data distributed to different permeability intervals, so that the number of units distributed to different permeability intervals can be determined;
and sixthly, cementing quartz sand with different granularities and epoxy resin to form permeability units distributed in different permeability intervals according to the number of the permeability units distributed in different permeability intervals obtained in the fifth step, arranging N units with different permeability in each layer according to the distribution conditions of the permeability calculated in the third step and the fourth step, and sequentially arranging the P layers to enable the simulated rock to better accord with the actual conditions.
The second method for manufacturing the chessboard-like simulated body for simulating the heterogeneous rock comprises the following steps:
firstly, the simulated plane size of the unit bodies (11) with different permeabilities is limited to be 50 x 50m, the length of the area to be simulated is L, the width of the area to be simulated is D, and the number of the units with different permeabilities in each layer is calculated to be N according to the formula (1).
Figure GDA0003752016910000051
Secondly, collecting permeability data of all well points of the area to be simulated, establishing a known permeability database, wherein the number of wells is Q, the number of layers is P, the coordinates of each well on an XOY plane are (i, j), and the permeability value of each well on the z-th layer is K z (i,j)。
And thirdly, dispersing the first layer permeability data obtained in the second step to obtain the permeability value of any point on the plane of the first layer, namely knowing the distribution condition of the permeability on the first layer, and specifically calculating according to the following process.
Firstly, according to the permeability value of the mth row of each well on the first layer, the variation function of the permeability between two wells with the distance h is obtained as K by using a formula (2) z (h)。
Wherein, the formula (2) is:
Figure GDA0003752016910000052
in the formula:
n (h) -the logarithm of two wells at a distance h.
Introduction of an intermediate replacement variable x for facilitating the expression of a computational process 1 、x 2 And y and b 0 ,b 1 And b 2 . Based on the result of formula (2), a series of x can be obtained using formula (3), formula (4) and formula (5) 1 、x 2 And y.
Wherein, formula (3), formula (4) and formula (5) are respectively:
x 1 =h (3)
x 2 =-h 3 (4)
y=K z (h) (5)
then, the obtained x 1 、x 2 Substituting y into equation (6), fitting the data by linear programming method to obtain b 0 ,b 1 ,b 2
Wherein, the formula (6) is:
y=b 0 +b 1 x 1 +b 2 x 2 (6)
by comparing equation (6) and equation (7), equations (8), (9) and (10) can be obtained as follows:
Figure GDA0003752016910000061
Figure GDA0003752016910000062
C 0 =b 0 (9)
Figure GDA0003752016910000063
finally, a function equation of the permeability variation of the mth row on the first layer can be determined, as shown in formula (11), that is, half of the permeability variance of any two points on the mth row on the first layer is obtained, so that the permeability value after dispersion on the mth row on the first layer can be obtained, that is, the distribution situation of the permeability on the mth row on the first layer can be obtained.
Wherein, formula (11) is:
Figure GDA0003752016910000064
in the formula:
a-range with correlation between permeabilities within this range and no correlation between permeability outside the range;
C 0 -a block value reflecting the variation amplitude of the permeability variation function;
C 1 the base station value, due to many factors, causes large variations in permeability over short distances;
h-the distance between two points.
By using the same method, the deterioration function equation of any line of the known partial permeability of the first layer is obtained, so that the permeability value after dispersion on the line can be obtained, namely the distribution situation of the permeability on the line can be obtained. Then, based on the permeability value of each row in the transverse direction, the deterioration function equation of any column in the longitudinal direction is obtained, so that the permeability value of each point on the first layer can be known, and the permeability distribution condition of the first layer can be obtained.
And fourthly, repeating the third step to obtain the permeability value of each point on the second layer, namely obtaining the permeability distribution condition of the second layer, and obtaining the permeability values and the permeability distribution conditions of all the layers until the permeability value of each point on the P layer is obtained.
And fifthly, according to the permeability value of each point on all the layers obtained in the third step and the fourth step and the distribution condition of the permeability, cementing quartz sand and epoxy resin with different granularities to form M units with different permeabilities, wherein M is calculated by a formula (12).
Wherein, the formula (12) is:
M=NP (12)
and then arranging the N units with different permeabilities of each layer according to the permeability distribution obtained by calculation in the third step and the fourth step, and sequentially arranging the P layers to enable the simulated rock to better accord with the actual situation.
The invention has the following beneficial effects: the method is based on the permeability data of all the layers of the well points of the area to be simulated, and based on the basic theory of the geostatistics about the variation function, the known permeability data are dispersed through the variation function according to the known permeability distribution data, so that the permeability data of any point on a plane can be obtained, and compared with a plurality of rock cores which are connected in parallel and only represent the average permeability of a certain research block in the current experiment, the method is more consistent with the heterogeneity of the reservoir, and provides more reliable experimental basis for field development.
Description of the drawings:
FIG. 1 is a schematic diagram of an integrated device for simulating rock heterogeneity using a checkerboard phantom.
FIG. 2 is a schematic view of a tessellated phantom.
FIG. 3 is a transverse cross-sectional view of a tessellated phantom.
FIG. 4 is a longitudinal cross-sectional view of a tessellated phantom.
FIG. 5 is a schematic view of the conduit, first and second threaded fittings, and flow regulator components.
Fig. 6 is a sectional view of the first threaded joint coupled to the flow regulator.
Fig. 7 is a sectional view of the second threaded joint coupled to the flow regulator.
FIG. 8 is a schematic view of an ISCO constant pressure pump.
Fig. 9 is a schematic view of an electronic pressure gauge.
FIG. 10 is a schematic of the five way valve.
FIG. 11 is a diagram of a square area well to be simulated.
In the figure, 1-ISCO constant pressure pump, 2-conduit, 3-electronic pressure gauge, 4-five-way valve, 5-first threaded joint, 6-flow regulator, 7-second threaded joint, 8-pouring heterogeneous chessboard-like simulation body, 9-measuring cylinder, 10-epoxy resin, 11-2 multiplied by 10cm different permeability units and 12-knob.
The specific implementation mode is as follows:
the invention will be further described with reference to the accompanying drawings in which:
as shown in fig. 1 to 10, the device for simulating rock heterogeneity by pouring heterogeneous simulation body comprises an ISCO constant pressure pump 1, a conduit 2, an electronic pressure gauge 3, a five-way valve 4, a first threaded joint 5, a flow regulator 6, a second threaded joint 7 and a measuring cylinder 9, and is characterized in that:
the device also comprises a pouring heterogeneous simulation body 8.
The casting heterogeneous simulation body 8 is composed of a plurality of unit bodies 11 with different permeabilities, wherein the length, the width and the height of each unit body 11 are respectively 2 cm, 2 cm and 10cm, and the plurality of unit bodies 11 with different permeabilities form a square body; the different permeability of the unit body 11 is obtained by discrete simulation of the actual formation permeability value.
And an epoxy resin pouring layer 10 is poured on the outer layer of the poured heterogeneous simulation body 8, and a single five-point method well group is arranged on the poured heterogeneous simulation body 8 through the epoxy resin pouring layer, wherein the single five-point method well group adopts a mode that one well is arranged in the center and four wells are arranged on four opposite corners.
And the two ends of the second threaded joint 7 are simultaneously provided with threads, the lower end of the second threaded joint 7 is connected with a threaded through hole of a single five-point well group on the poured heterogeneous simulation body 8 through screwing, and the upper end of the second threaded joint 7 is connected with a threaded through hole of the flow regulator 6 through screwing.
The first screw joint 5 is provided with threads only at one end, wherein the threaded end of the first screw joint 5 is connected with the threaded through hole of the flow regulator 6 by screwing, and the unthreaded other end is connected with the second conduit.
The flow regulator 6 is provided with two threaded through holes which are respectively connected with the first threaded joint 5 and the second threaded joint 7, and a knob 12 which is used for controlling the injection speed and the extraction speed of a simulated actual injection well and a simulated actual production well.
An electronic pressure gauge 3 is connected between the ISCO constant pressure pump 1 and a liquid flow input port of the five-way valve 4 through a first conduit 2; the four liquid flow output ports of the five-way valve 4 are respectively connected with the non-threaded end of a first threaded joint 5 which is connected into the four diagonal wells through a second conduit; the unthreaded end of the first nipple 5, which is connected to a central well, is connected to the inlet of the measuring cylinder 9 via a second conduit.
A specific embodiment of the first method for making the chessboard-like simulated mass simulating heterogeneous rock is given below: the method comprises the following steps:
firstly, the simulated plane size of the permeability units is limited to 50 x 50m, the length L of the area to be simulated is 1500m, the width D of the area to be simulated is 1470m, and the number N of different permeability units of each layer is 900 according to the formula (1).
Figure GDA0003752016910000091
Secondly, the number Q of wells in the area to be simulated is 37, the number P of layers is 3, and since each well is a vertical well, the coordinates of each well in each layer plane are the same, the well position of the square area to be simulated is shown in fig. 11, and the plane coordinates corresponding to each well are shown in table 1. Permeability data for each layer of all well sites in the area were collected and a database of known permeabilities was created as shown in table 2.
Table 1 per well plane coordinate statistical table
Number of well Plane coordinates Number of well Plane coordinates Number of well Plane coordinates Number of well Plane coordinates
W1 (4,26) W11 (14,21) W21 (24,16) W31 (4,6)
W2 (8,26) W12 (18,21) W22 (28,16) W32 (8,6)
W3 (12,26) W13 (22,21) W23 (2,11) W33 (12,6)
W4 (16,26) W14 (26,21) W24 (6,11) W34 (16,6)
W5 (20,26) W15 (30,21) W25 (10,11) W35 (20,6)
W6 (24,26) W16 (4,16) W26 (14,11) W36 (24,6)
W7 (28,26) W17 (8,16) W27 (18,11) W37 (28,6)
W8 (2,21) W18 (12,16) W28 (22,11)
W9 (6,21) W19 (16,16) W29 (26,11)
W10 (10,21) W20 (20,16) W30 (30,11)
TABLE 2 database of known permeabilities
Figure GDA0003752016910000092
Figure GDA0003752016910000101
And thirdly, dispersing the first layer permeability data obtained in the second step to obtain the permeability value of any point on the plane of the first layer, namely, knowing the distribution condition of the permeability on the first layer, and calculating the permeability value and the permeability distribution condition of the 26 th row on the first layer according to the following process.
Firstly, according to the permeability value of 26 th row of each well on the first layer, the permeability variation function between two wells with the distance h is obtained as K by using the formula (2) 1 (h) Let the distance between two adjacent permeability cells be 1, and the calculation results thereof are shown in table 3.
Wherein, the formula (2) is:
Figure GDA0003752016910000102
TABLE 3 variation function calculation results
Distance (h) Variation function (K) 1 (h)) Distance (h) Variation function (K) 1 (h))
4 372.57 16 286.92
8 480.79 20 36.07
12 468.31 24 397.90
Introduction of an intermediate replacement variable x for facilitating the expression of a computational process 1 、x 2 And y and b 0 ,b 1 And b 2 . Based on the calculation results of Table 3, a series of x can be obtained by using formula (3), formula (4) and formula (5) 1 、x 2 And y, the calculation results are shown in table 4.
Wherein, formula (3), formula (4) and formula (5) are respectively:
x 1 =h (3)
x 2 =-h 3 (4)
y=K 1 (h) (5)
TABLE 4x 1 、x 2 And the result of y
x 1 x 2 y x 1 x 2 y
4 -64 372.57 16 -4096 286.92
8 -512 480.79 20 -8000 36.07
12 -1728 468.31 24 -13824 397.90
Then, the obtained x 1 、x 2 Substituting y into equation (6), fitting the data by linear programming method to obtain b 0 =204,b 1 =44.66,b 2 When the value is 0.16, the fitting formula is finally obtained as follows:
y=204+44.66x 1 +0.16x 2 (6)
b is to 0 =204,b 1 =44.66,b 2 Substituting 0.16 into equation (8), equation (9), and equation (10) may yield C 0 =204、C 1 287.19 and a 9.65.
Wherein, the formula (8), the formula (9) and the formula (10) are respectively:
Figure GDA0003752016910000111
C 0 =b 0 =204 (9)
Figure GDA0003752016910000112
finally, the equation for the permeability degradation function for line 26 on the first layer can be determined as:
Figure GDA0003752016910000113
that is, knowing half of the variance of permeability at any two points on the 26 th row on the first layer, the permeability value after dispersion of the 26 th row on the first layer can be obtained, that is, the permeability distribution of the 26 th row on the first layer is obtained, as shown in the 26 th row (from bottom to top) in table 1. The permeability values and permeability distributions of all permeability units on the first layer on lines 6, 11, 16 and 21 were determined in the same manner. Then, based on the permeability values already obtained on the 6 th, 11 th, 16 th, 21 th and 26 th rows, the deterioration function equation of any column is obtained in the longitudinal direction, so that the permeability value and the permeability distribution of each permeability unit on the first layer can be known, as shown in table 5.
TABLE 5 Permeability distribution on first layer plane
85 81 98 87 62 73 56 85 84 94 82 10 8 13 1 12 8 90 10 1 10 8 11 6 11 9 12 3 10 90 85 88 75 118 90 71 80 85
88 76 69 84 80 64 86 55 78 11 6 90 11 2 10 0 13 1 11 7 10 1 91 97 11 0 11 1 11 5 81 85 64 85 85 81 84 50 73
69 50 71 79 10 6 87 92 61 11 4 79 10 7 74 10 8 10 2 11 1 96 10 3 11 0 13 2 11 6 10 5 10 6 63 10 1 45 101 74 94 89 71
88 71 10 3 11 0 57 46 42 99 97 76 59 98 10 0 11 8 11 1 97 95 87 12 3 88 77 71 58 52 75 61 96 97 82 102
74 84 78 99 64 86 46 59 63 77 62 65 94 83 83 10 7 71 54 83 93 10 8 50 94 99 51 107 89 71 71 60
82 75 58 50 45 60 58 88 53 86 91 60 44 75 75 74 57 65 78 11 7 11 1 73 59 61 98 89 84 90 54 81
74 75 65 50 62 25 52 45 49 63 58 62 43 59 53 56 59 65 61 84 10 5 69 66 88 68 64 70 70 95 56
10 5 53 68 77 45 52 1 53 59 37 60 42 57 39 44 35 55 54 83 61 63 46 46 49 78 64 71 80 58 42
97 61 35 10 1 64 43 20 49 65 35 45 43 53 46 33 46 51 95 87 79 63 72 51 45 70 68 67 71 41 54
88 35 80 54 51 46 48 38 43 62 35 59 44 55 69 59 55 67 63 45 53 49 11 1 39 33 53 44 54 49 63
65 49 55 94 42 51 50 64 44 70 44 55 36 56 69 50 87 96 71 76 45 84 52 54 73 68 59 66 68 95
94 56 46 10 4 42 43 68 39 64 32 50 63 64 46 58 50 74 76 89 58 62 48 60 73 29 79 60 52 68 54
97 80 99 71 39 68 36 61 65 64 46 58 43 88 45 58 79 78 38 96 83 73 60 44 61 65 72 49 44 71
97 87 48 53 59 54 58 50 74 56 58 70 73 68 73 73 83 10 6 10 7 84 10 4 80 97 58 68 77 82 72 82 72
93 70 62 54 37 74 49 51 56 67 66 51 76 69 53 77 75 10 1 93 77 10 3 78 85 85 97 59 83 72 101 54
63 80 62 65 56 70 34 33 39 70 60 82 10 3 63 77 44 87 11 4 10 6 76 12 6 86 96 68 95 72 78 72 90 117
64 99 80 64 70 83 35 61 45 57 91 11 1 48 83 75 90 78 90 78 95 80 75 93 76 63 61 76 79 79 110
65 65 75 81 78 65 63 54 33 64 64 11 0 98 57 71 88 10 1 77 71 10 6 10 5 98 78 86 100 59 81 104 72 66
70 78 96 64 70 69 68 63 79 10 3 11 9 75 84 70 69 62 11 5 95 89 11 4 99 94 66 79 104 93 64 75 72 81
10 0 90 81 84 85 62 73 77 91 10 0 95 95 11 0 79 83 83 82 12 1 83 10 1 11 4 58 77 91 81 89 10 3 99 89 79
58 77 56 64 11 4 56 50 68 99 10 6 10 2 13 0 12 0 98 79 98 91 11 0 99 12 1 11 3 11 0 89 87 99 76 94 113 106 78
85 97 81 92 87 70 68 99 10 3 97 10 4 90 92 11 3 10 5 86 74 10 5 68 12 7 13 1 10 4 11 7 56 112 92 10 6 102 104 66
79 76 66 57 91 63 86 11 3 81 10 4 95 98 94 10 1 68 77 84 10 5 10 4 91 78 10 5 78 10 1 96 105 12 8 94 104 115
90 10 9 97 74 87 10 1 10 1 84 88 89 82 87 93 83 80 11 0 10 6 90 10 2 87 10 8 10 5 85 82 118 119 11 2 110 102 81
10 8 95 90 80 81 82 83 73 81 72 88 98 11 9 10 3 11 5 13 8 11 6 16 10 9 91 11 0 80 79 91 79 115 11 8 133 98 93
12 2 76 10 5 72 84 81 84 10 9 97 83 10 9 11 7 87 91 91 13 9 11 4 11 4 13 3 12 2 10 9 12 2 11 0 12 5 104 115 11 4 118 122 85
10 5 10 4 81 95 11 2 10 4 10 0 10 5 87 89 90 97 96 11 5 13 0 13 6 10 9 14 6 11 8 10 3 10 0 12 6 12 1 10 9 102 102 87 118 62 100
12 8 13 2 77 10 7 10 9 12 4 11 7 11 6 81 11 0 90 12 5 13 1 11 2 12 9 11 5 11 2 13 8 95 11 3 66 73 11 4 75 109 85 11 6 82 79 54
10 3 12 2 11 7 11 3 12 2 12 1 11 3 10 1 85 70 80 11 3 11 7 13 7 13 4 11 6 11 4 11 6 10 8 11 8 82 93 99 95 100 112 97 80 81 101
12 3 12 3 14 9 12 1 11 4 12 8 11 4 10 0 10 9 12 1 11 7 11 6 83 11 7 13 1 10 5 12 0 13 6 87 10 9 10 5 11 6 92 10 6 84 100 11 2 98 111 93
And fourthly, repeating the third step to obtain the permeability value of each point on the second layer, namely the permeability distribution condition of the second layer, and sequentially obtaining the permeability value of each point on the third layer, namely the permeability values and the permeability distribution conditions of all the layers, wherein the permeability values and the permeability distribution conditions of each permeability unit on the second layer and the third layer are shown in tables 6 and 7.
TABLE 6 permeability distribution in the plane of the second layer
Figure GDA0003752016910000121
Figure GDA0003752016910000131
TABLE 7 Permeability distribution on third layer plane
56 73 54 57 57 60 70 81 65 78 65 63 53 60 60 67 47 61 36 37 37 46 42 43 46 42 50 55 35 28
74 51 62 51 65 58 71 76 66 66 48 58 59 54 48 61 43 53 56 37 50 43 47 52 38 52 49 38 30 32
58 72 66 82 68 81 72 69 57 74 54 55 48 45 65 48 60 63 38 42 43 59 60 39 41 53 38 41 36 36
87 81 75 72 76 65 69 68 60 71 56 62 54 61 57 56 66 44 34 50 48 59 63 47 47 42 48 46 34 40
73 65 79 79 83 79 72 73 81 50 48 65 67 43 54 70 58 50 34 37 45 35 65 51 62 51 61 62 37 31
62 74 79 83 81 77 67 70 61 50 71 60 37 57 52 56 47 49 36 32 39 31 44 33 41 45 46 37 47 48
77 73 85 68 70 67 76 61 63 59 68 45 67 48 53 33 51 40 52 43 43 46 46 48 28 61 46 26 40 35
80 84 87 80 60 72 64 65 58 53 57 73 73 72 56 49 46 54 32 54 51 52 49 43 32 42 43 25 32 32
79 64 76 66 61 69 55 53 57 63 80 62 52 59 38 45 33 51 45 44 46 56 44 46 43 52 25 42 34 29
69 81 77 76 79 77 60 63 59 58 73 68 53 72 53 42 55 47 33 46 56 51 48 51 58 52 34 39 32 32
67 64 66 61 62 73 56 66 51 59 47 59 62 71 60 51 71 41 51 59 64 40 43 41 37 38 34 48 42 51
81 67 67 56 61 61 47 54 51 55 75 48 53 67 61 52 52 54 63 31 49 51 31 42 36 47 42 45 55 45
68 88 60 76 59 58 57 59 61 60 52 52 58 61 60 70 66 48 45 47 50 25 49 46 41 43 60 32 34 50
72 71 62 55 60 64 59 66 67 41 57 42 46 60 79 64 60 73 53 31 45 28 43 46 53 44 39 40 40 51
72 70 54 62 56 63 64 59 63 66 65 55 60 45 46 53 68 53 64 45 39 52 44 43 51 39 50 41 42 60
57 76 81 62 62 69 64 47 67 56 73 62 52 33 51 66 63 68 54 50 37 52 57 42 32 45 42 43 52 51
63 63 66 49 58 65 64 50 49 48 58 55 57 44 59 57 55 58 43 47 61 53 55 50 48 41 40 51 46 68
71 55 50 75 64 66 72 60 53 42 42 47 50 62 58 57 60 54 43 63 43 50 60 44 50 58 47 55 46 44
49 62 59 59 59 58 60 56 53 46 64 53 66 46 41 72 55 60 45 59 61 56 47 42 44 42 48 43 48 44
68 49 64 79 71 63 56 50 50 49 57 57 53 64 47 52 60 58 77 56 52 58 39 56 34 46 47 50 41 29
50 42 39 56 57 55 38 55 54 27 58 34 50 42 63 60 58 74 63 53 55 50 49 57 42 74 62 48 39 54
68 54 43 45 49 49 64 51 58 54 48 55 61 68 67 61 53 53 60 47 41 57 72 61 62 57 39 35 21 45
48 45 55 36 49 49 54 62 35 58 42 56 44 69 56 53 66 64 56 43 43 55 47 57 53 42 56 32 41 44
67 56 51 41 46 63 34 37 52 61 53 81 61 74 72 56 58 54 69 54 64 48 51 46 47 38 43 43 29 43
64 39 64 44 63 69 50 34 40 52 56 63 65 64 65 63 71 41 58 65 51 49 51 38 51 39 41 48 41 45
63 56 59 56 60 50 52 57 43 56 54 65 57 77 53 66 63 57 65 49 46 65 61 52 48 59 52 55 43 47
74 56 45 54 64 52 44 49 45 54 56 70 74 77 83 64 73 75 60 59 44 58 47 62 49 50 51 28 45 50
69 80 78 59 74 67 56 42 58 67 63 61 70 51 68 83 58 75 58 76 54 70 67 57 68 48 41 43 52 64
70 78 64 76 74 62 48 54 58 77 60 59 72 63 75 60 76 47 68 51 61 46 62 70 62 58 41 49 55 56
80 67 78 67 61 67 66 41 55 61 68 57 73 58 65 73 67 72 72 59 50 61 42 54 53 28 40 62 50 45
And fifthly, in order to reduce the manufacturing number of permeability units, simplify the manufacturing steps of the simulation body, and divide different permeability intervals for statistical analysis within the allowable range of experimental errors. And (3) performing statistical analysis on the permeability data of each layer obtained in the third step and the fourth step, and determining the number of the permeability data distributed to different permeability intervals, so that the number of units distributed to different permeability intervals can be determined, and the statistical conditions of the different permeability intervals of each layer are shown in tables 8 to 10.
TABLE 8 statistical table for different permeability intervals of first layer
Figure GDA0003752016910000141
TABLE 9 statistical table for different permeability intervals of the second layer
Figure GDA0003752016910000142
TABLE 10 third layer different permeability interval statistical table
Figure GDA0003752016910000143
Figure GDA0003752016910000151
And sixthly, filling quartz sand with different particle sizes and numbers according to the number of the permeability units distributed in different permeability intervals obtained in the fifth step in different arrangement modes, and cementing by using different cementing modes, so that the permeability units distributed in different permeability intervals can be prepared.
As can be seen from the statistical results in table 8, the number of permeability units distributed in the permeability interval of 41 to 45mD in the first layer is 31, a simulated body with a size of 12 × 12 × 10cm and permeability distributed between 41 to 45mD is made by selecting quartz sand with a certain particle size and number according to a certain arrangement mode and cementing mode, and then 31 permeability units of 2 × 2 × 10cm are obtained by cutting, that is, the permeability units distributed in the permeability interval of 41 to 45mD are made, and the permeability units of all the permeability intervals of the first layer are made sequentially. And finishing the manufacture of the permeability units of the second layer and the third layer with different permeability intervals according to the statistical results of the tables 9 and 10.
The grid coordinates of the lower left corner of tables 5, 6 and 7 are defined as (1,1) and the grid coordinates of the upper right corner are defined as (30,30) according to the rectangular coordinate system. As can be seen from table 5, the permeability of the grid with coordinates of (1,1) in the first layer is 123mD, which corresponds to the permeability interval of table 8 being 121-125mD, and the permeability units that have been fabricated are selected from the permeability interval and arranged at the original positions of the grid, i.e. the coordinates of the permeability units are (1, 1). The permeability of the grid with coordinates of (1,2) in the first layer is 103mD, which corresponds to the permeability interval of table 8 being 101-105mD, and the prepared permeability units are selected from the permeability interval and arranged at the original positions of the grid, i.e. the coordinates of the permeability units are (1,2), thus completing the arrangement of all permeability units in the first layer in sequence. The arrangement of all permeability units in the second and third layers can be accomplished according to tables 6 and 7, and in combination with tables 9 and 10. Thus, 900 permeability units in each layer are arranged according to the permeability distribution obtained by calculation in the third step and the fourth step, and 3 layers are sequentially arranged, so that the simulated rock is more in line with the actual situation.
And then cementing the outer layer of the formed simulation body by epoxy resin, arranging a single five-point well group on the simulation body, installing a first threaded joint, a flow regulator, a second threaded joint and other devices, and finally forming a device for simulating the rock heterogeneity by using the checkerboard-shaped simulation body.

Claims (2)

1. A method of making a checkerboard simulation in a device for simulating rock heterogeneity, comprising the steps of:
firstly, limiting the simulated plane size of unit bodies (11) with different permeabilities to be 50 multiplied by 50m, the length of a region to be simulated to be L and the width of the region to be simulated to be D, and calculating the number of units with different permeabilities of each layer to be N according to a formula (1);
Figure FDA0003752016900000011
secondly, collecting permeability data of all well points of the area to be simulated, establishing a known permeability database, wherein the number of wells is Q, the number of layers is P, the coordinates of each well on an XOY plane are (i, j), and the permeability value of each well on the z-th layer is K z (i,j);
Thirdly, dispersing the first layer permeability data obtained in the second step to obtain the permeability value of any point on the plane of the first layer, namely, knowing the distribution condition of the permeability on the first layer, and specifically calculating according to the following process:
firstly, according to the permeability value of the mth row of each well on the first layer, the permeability variation function between two wells with the distance h is calculated to be K by using a formula (2) z (h);
Wherein, the formula (2) is:
Figure FDA0003752016900000012
in the formula:
n (h) -the logarithm of two wells at a distance h;
introduction of an intermediate replacement variable x for facilitating the expression of a computational process 1 、x 2 And y and b 0 ,b 1 And b 2 (ii) a Based on the result of formula (2), a series of x can be obtained by using formula (3), formula (4) and formula (5) 1 、x 2 And y;
wherein, formula (3), formula (4) and formula (5) are respectively:
x 1 =h (3)
x 2 =-h 3 (4)
y=K z (h) (5)
then, the obtained x 1 、x 2 Substituting y into equation (6), fitting the data by linear programming method to obtain b 0 ,b 1 ,b 2
Wherein, the formula (6) is:
y=b 0 +b 1 x 1 +b 2 x 2 (6)
by comparing equation (6) and equation (7), equations (8), (9) and (10) can be obtained as follows:
Figure FDA0003752016900000021
Figure FDA0003752016900000022
C 0 =b 0 (9)
Figure FDA0003752016900000023
finally, a variation function equation of the permeability of the mth line on the first layer can be determined, as shown in formula (11), namely, half of the permeability variance of any two points on the mth line of the first layer is obtained, so that the permeability value after the dispersion on the mth line of the first layer can be solved, namely, the distribution condition of the permeability on the mth line of the first layer can be obtained;
wherein, formula (11) is:
Figure FDA0003752016900000024
in the formula:
a-variation, with a correlation between permeabilities within this range and no correlation between permeability outside the variation;
C 0 -a block value reflecting the variation amplitude of the permeability variation function;
C 1 the base station value, due to many factors, causes large variations in permeability over short distances;
h is the distance between two points;
the same method is used for obtaining a variation function equation of any line of the known partial permeability on the first layer, so that the permeability value after dispersion on the line can be obtained, namely the distribution situation of the permeability on the line can be obtained; then, based on the permeability value of each row in the transverse direction, solving a variation function equation of any column in the longitudinal direction, so that the permeability value of each point on the first layer can be known, and the permeability distribution condition of the first layer can be obtained;
fourthly, repeating the third step to obtain the permeability value of each point on the second layer, namely obtaining the permeability distribution condition of the second layer, and obtaining the permeability value and the permeability distribution condition of all the layers until the permeability value of each point on the P layer is obtained;
fifthly, in order to reduce the manufacturing number of permeability units, simplify the manufacturing steps of the simulation body, and divide different permeability intervals for statistical analysis within the allowable range of experimental error; performing statistical analysis on the permeability data of each layer obtained in the third step and the fourth step, and determining the number of the permeability data distributed to different permeability intervals, so that the number of units distributed to different permeability intervals can be determined;
and sixthly, cementing quartz sand with different granularities and epoxy resin to form permeability units distributed in different permeability intervals according to the number of the permeability units distributed in different permeability intervals obtained in the fifth step, arranging N units with different permeability in each layer according to the distribution conditions of the permeability calculated in the third step and the fourth step, and sequentially arranging the P layers to enable the simulated rock to better accord with the actual conditions.
2. A method of making a checkerboard simulation in a device for simulating rock heterogeneity, comprising the steps of:
firstly, limiting the simulated plane size of unit bodies (11) with different permeabilities to be 50 multiplied by 50m, the length of a region to be simulated to be L and the width of the region to be simulated to be D, and calculating the number of units with different permeabilities of each layer to be N according to a formula (1);
Figure FDA0003752016900000031
secondly, collecting permeability data of all well points of the area to be simulated, establishing a known permeability database, wherein the number of wells is Q, the number of layers is P, the coordinates of each well on an XOY plane are (i, j), and the permeability value of each well on the z-th layer is K z (i,j);
Thirdly, dispersing the first layer permeability data obtained in the second step to obtain the permeability value of any point on the plane of the first layer, namely, knowing the distribution condition of the permeability on the first layer, and specifically calculating according to the following process;
firstly, according to the permeability value of the mth row of each well on the first layer, the permeability variation function between two wells with the distance h is calculated to be K by using a formula (2) z (h);
Wherein, the formula (2) is:
Figure FDA0003752016900000041
in the formula:
n (h) -the logarithm of two wells at a distance h;
introduction of an intermediate replacement variable x for facilitating the expression of a computational process 1 、x 2 And y and b 0 ,b 1 And b 2 (ii) a Based on the result of formula (2), a series of x can be obtained by using formula (3), formula (4) and formula (5) 1 、x 2 And y;
wherein, formula (3), formula (4) and formula (5) are respectively:
x 1 =h (3)
x 2 =-h 3 (4)
y=K z (h) (5)
then, the obtained x 1 、x 2 Substituting y into equation (6), fitting data by linear programming method to obtain b 0 ,b 1 ,b 2
Wherein, the formula (6) is:
y=b 0 +b 1 x 1 +b 2 x 2 (6)
by comparing the formula (6) and the formula (7), the formula (8), the formula (9), and the formula (10) can be respectively:
Figure FDA0003752016900000042
Figure FDA0003752016900000043
C 0 =b 0 (9)
Figure FDA0003752016900000044
finally, a variation function equation of the permeability of the mth line on the first layer can be determined, as shown in formula (11), namely, half of the variance of the permeability of any two points on the mth line on the first layer is obtained, so that the permeability value after dispersion on the mth line on the first layer can be obtained, namely, the distribution condition of the permeability on the mth line on the first layer can be obtained;
wherein, formula (11) is:
Figure FDA0003752016900000051
in the formula:
a-variation, with a correlation between permeabilities within this range and no correlation between permeability outside the variation;
C 0 -a block value reflecting the variation amplitude of the permeability variation function;
C 1 the base station value, due to many factors, causes large variations in permeability over short distances;
h is the distance between two points;
the same method is used for obtaining a variation function equation of any line of the known partial permeability on the first layer, so that the permeability value after dispersion on the line can be obtained, namely the distribution situation of the permeability on the line can be obtained; then, based on the permeability value of each row in the transverse direction, solving a variation function equation of any column in the longitudinal direction, so that the permeability value of each point on the first layer can be known, and the permeability distribution condition of the first layer can be obtained;
fourthly, repeating the third step to obtain the permeability value of each point on the second layer, namely obtaining the permeability distribution condition of the second layer, and obtaining the permeability value and the permeability distribution condition of all the layers until the permeability value of each point on the P layer is obtained;
fifthly, according to the permeability values of all points on all the layers obtained in the third step and the fourth step and the distribution condition of the permeability, cementing quartz sand and epoxy resin with different granularities to form M units with different permeability, wherein M is obtained by calculation of a formula (12);
wherein, the formula (12) is:
M=NP (12)
and then arranging the N units with different permeabilities of each layer according to the permeability distribution obtained by calculation in the third step and the fourth step, and sequentially arranging the P layers to enable the simulated rock to better conform to the actual situation.
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