CN108182510A - Evaluation of the land productive potential method and apparatus - Google Patents
Evaluation of the land productive potential method and apparatus Download PDFInfo
- Publication number
- CN108182510A CN108182510A CN201711304789.XA CN201711304789A CN108182510A CN 108182510 A CN108182510 A CN 108182510A CN 201711304789 A CN201711304789 A CN 201711304789A CN 108182510 A CN108182510 A CN 108182510A
- Authority
- CN
- China
- Prior art keywords
- value
- oil well
- factor
- opinion rating
- impact factor
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 37
- 238000011156 evaluation Methods 0.000 title claims abstract description 20
- 239000003129 oil well Substances 0.000 claims abstract description 119
- 230000000694 effects Effects 0.000 claims abstract description 84
- 238000012216 screening Methods 0.000 claims abstract description 18
- 230000006870 function Effects 0.000 claims description 39
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 22
- 239000011159 matrix material Substances 0.000 claims description 19
- 239000011229 interlayer Substances 0.000 claims description 18
- 230000035699 permeability Effects 0.000 claims description 15
- 239000007788 liquid Substances 0.000 claims description 14
- 230000035945 sensitivity Effects 0.000 claims description 14
- 239000003921 oil Substances 0.000 description 21
- 230000006872 improvement Effects 0.000 description 7
- 238000004519 manufacturing process Methods 0.000 description 7
- 238000004458 analytical method Methods 0.000 description 4
- 238000011161 development Methods 0.000 description 4
- 238000009826 distribution Methods 0.000 description 4
- 239000000243 solution Substances 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 238000003860 storage Methods 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 239000012530 fluid Substances 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000013139 quantization Methods 0.000 description 2
- 230000003542 behavioural effect Effects 0.000 description 1
- 230000001413 cellular effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 239000010779 crude oil Substances 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000006073 displacement reaction Methods 0.000 description 1
- 238000002347 injection Methods 0.000 description 1
- 239000007924 injection Substances 0.000 description 1
- 238000013508 migration Methods 0.000 description 1
- 230000005012 migration Effects 0.000 description 1
- 239000003209 petroleum derivative Substances 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 238000004445 quantitative analysis Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 239000010979 ruby Substances 0.000 description 1
- 229910001750 ruby Inorganic materials 0.000 description 1
- 238000004335 scaling law Methods 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Theoretical Computer Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Educational Administration (AREA)
- Marketing (AREA)
- Development Economics (AREA)
- Health & Medical Sciences (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Public Health (AREA)
- Primary Health Care (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
This specification embodiment provides a kind of evaluation of the land productive potential method and apparatus.The method includes：Opinion rating set is provided；The opinion rating set includes multiple opinion ratings；Multiple object effects factors of oil well are chosen from impact factor set according to default screening index；The weighted value and each object effects factor relatively each opinion rating for determining each object effects factor are subordinate to angle value；Based on angle value and weighted value is subordinate to, the probability value of the relatively each opinion rating of the oil well is determined；Based on probability value, the opinion rating of the oil well is determined.
Description
Technical field
This specification embodiment is related to petroleum gas technical field, more particularly to a kind of evaluation of the land productive potential method and dress
It puts.
Background technology
Most domestic oil reservoir has been enter into High water cut period now, and effective Remaining Oil productive potentialities are opened with improving oil reservoir
Send out effect, it has also become the main research of such oil reservoir and operative orientation.Oil well production potentiality are evaluated with clear and definite oil reservoir not
Behavioral characteristics and potential distribution with region are the premises for improving effect of reservoir development.At present mostly using numerical simulation, dynamic
The methods of analysis, evaluates the productive potentialities of oil well, but there are analytic process is complicated, required parameter is excessive, labor intensive object
The shortcomings of power is excessive so that evaluation result is not objective enough and accurate.
Invention content
The purpose of this specification embodiment is to provide a kind of evaluation of the land productive potential method and apparatus, with it is objective, accurately comment
The productive potentialities of valency oil well.
To achieve the above object, the embodiment of the present application provides a kind of evaluation of the land productive potential method, the method includes：It provides
Opinion rating set；The opinion rating set includes multiple opinion ratings；According to default screening index from impact factor set
The middle multiple object effects factors for choosing oil well；Determine the weighted value of each object effects factor and each object effects factor
Relatively each opinion rating is subordinate to angle value；Based on angle value and weighted value is subordinate to, the relatively each opinion rating of the oil well is determined
Probability value；Based on probability value, the opinion rating of the oil well is determined.
To achieve the above object, the embodiment of the present application provides a kind of evaluation of the land productive potential device, including：Unit is provided, is used
In offer opinion rating set；The opinion rating set includes multiple opinion ratings；Selection unit, for according to default screening
Index chooses multiple object effects factors of oil well from impact factor set；First determination unit, for determining each target
The weighted value of impact factor and the relatively each opinion rating of each object effects factor are subordinate to angle value；Second determination unit,
For being based on being subordinate to angle value and weighted value, the probability value of the relatively each opinion rating of the oil well is determined；Third determination unit is used
In based on probability value, the opinion rating of the oil well is determined.
The technical solution provided by more than this specification embodiment is as it can be seen that in the present embodiment, the server can carry
For opinion rating set；Can be chosen from impact factor set according to default screening index multiple object effects of oil well because
Son；It can determine the weighted value of each object effects factor and being subordinate to for each relatively each opinion rating of the object effects factor
Angle value；It can be based on being subordinate to angle value and weighted value, determine the probability value of the relatively each opinion rating of the oil well；It can be based on general
Rate value determines the opinion rating of the oil well.In the present embodiment, the server can be according to preset screening index from shadow
It rings and the required object effects factor is chosen in factor set, and then probability distribution thought can be utilized, determine each object effects
The weighted value of the factor and the relatively each opinion rating of each object effects factor are subordinate to angle value, can combine be subordinate to angle value and
Weighted value is determined the calculating of opinion rating.Therefore, the server can it is objective, accurately evaluation oil well production dive
Power.
Description of the drawings
In order to illustrate more clearly of this specification embodiment or technical solution of the prior art, below will to embodiment or
Attached drawing needed to be used in the description of the prior art is briefly described, it should be apparent that, the accompanying drawings in the following description is only
Some embodiments described in this specification, for those of ordinary skill in the art, in not making the creative labor property
Under the premise of, it can also be obtained according to these attached drawings other attached drawings.
Fig. 1 is a kind of flow chart of evaluation of the land productive potential method of this specification embodiment；
Fig. 2 is a kind of functional structure chart of evaluation of the land productive potential device of this specification embodiment.
Specific embodiment
Below in conjunction with the attached drawing in this specification embodiment, the technical solution in this specification embodiment is carried out clear
Chu is fully described by, it is clear that described embodiment is only the implementation of this specification part of the embodiment rather than whole
Example.Based on the embodiment in this specification, those of ordinary skill in the art are obtained without creative efforts
Every other embodiment, should all belong to this specification protection range.
The embodiment of the present application provides a kind of evaluation of the land productive potential method.The evaluation of the land productive potential method can be to High water cut
Oil reservoir carries out residual production potential distributional analysis, with it is quick, comprehensively evaluate oil reservoir high water-cut stage potentiality to be exploited distribution characteristics, for lower step
Modification scenario points the direction.The evaluation of the land productive potential method can be applied to server.The server can for example include
Flat electronic equipment, portable computer, desktop computer, personal digital assistant (PDA) etc..
In the present embodiment, the server can provide opinion rating set.The opinion rating set can include
Multiple opinion ratings for being used to evaluate oil well production potentiality, the value volume and range of product of opinion rating can be that developer is based on hydrodynamic(al)
Mechanical strength is preset.The hydrodynamics intensity can use hydraulic theory meter based on the quiet dynamic data of reservoir
Obtained physical quantity has taken into account static description and dynamic change, is transported for characterizing reservoir Crude Oil by displacement degree and fluid
Move severe degree.For example, the hydrodynamics intensity can include high, medium and low 3 grades of grade.High hydrodynamics intensity can be with
Represent that water drive involves that degree is higher, oil well adopt liquid and water injection intensity is larger, advantage is formed between oil well or side water and oil well and is oozed
The possibility of stream is larger, smaller so as to the residual production potential of oil well；The feature and high hydrodynamics that low hydrodynamics intensity represents are strong
For degree on the contrary, the degree that specially reservoir is involved is smaller, oil well note adopts that intensity is smaller, and reservoir leads to almost without advantage seepage flow is formed
The possibility in road, it is larger so as to the residual production potential of oil well；The feature that middle hydrodynamics intensity represents between high hydrodynamics intensity with
Between low hydrodynamics intensity.In a Sample Scenario of the present embodiment, the opinion rating set can include it is high, in,
Low 3 opinion ratings；High praise grade can represent that oil well has high hydrodynamics intensity；Middle opinion rating can represent oil
Well has middle hydrodynamics intensity；Low opinion rating can represent that oil well has low hydrodynamics intensity.
It please refers to Fig.1.The evaluation of the land productive potential method of the embodiment of the present application may comprise steps of.
Step S10：Multiple object effects factors of oil well are chosen from impact factor set according to default screening index.
In the present embodiment, the impact factor set can include multiple impact factors.For example, the impact factor collection
Close can include Geology impact factor and exploitation class impact factor, Geology impact factor such as core intersection, oil reservoir inclination angle,
Permeability, porosity, the coefficient of variation, the differential, thickness of interlayer in longitudinal direction etc., exploitation class impact factor such as oil well daily output liquid, oil well
Moisture content, rate of water cut increase, perforation thickness etc..
In the present embodiment, the definition of the default screening index can be as follows.
In above formula (1),
x0It can represent the original value of impact factor；
xng+It can represent that impact factor increases the value after g；
xng-It can represent that impact factor reduces the value after g；
y0It can represent the original hydrodynamics intensity of oil well；
yng+It can represent that impact factor increases the oil well hydrodynamics intensity after g；
yngIt can represent that impact factor reduces the oil well hydrodynamics intensity after g；
G can represent the variation degree of impact factor, such as can be 10%；
hnIt can represent the sensitivity value of impact factor.
In the present embodiment, the oil well can be the arbitrary oil well in work area.The server can acquire the oil
The value of each impact factor in the relatively described impact factor set of well；It can be referred to the value of allowed for influencing factors and the default screening
Mark calculates the sensitivity value of each impact factor in the impact factor set；It can be with the sensitivity value of allowed for influencing factors, from described
Multiple sensitive impact factors are chosen in impact factor set as the object effects factor.It is described service implement body can will influence because
The value of son substitutes into the default screening index and then the sensitivity value of the impact factor is calculated.
In a Sample Scenario of the present embodiment, the impact factor set can include Geology impact factor and open
Send out class impact factor, Geology impact factor can include core intersection, oil reservoir inclination angle, permeability, porosity, the coefficient of variation,
Longitudinal direction differential, thickness of interlayer etc., exploitation class impact factor can include oil well daily output liquid, water ratio in oil well, rate of water cut increase,
Perforation thickness etc..The server is based on default screening index, calculates each impact factor of a certain oil well of High water cut sandstone oil field
Sensitivity value, can be as shown in table 1 below.
Table 1
In above-mentioned table 1, the sensitivity value of each impact factor is 10 in the impact factor set-3~10-1Between.It influences
The sensitivity value of the factor is bigger, illustrates that influence of the impact factor to hydrodynamics intensity is bigger；The sensitivity value of impact factor is smaller,
Illustrate that influence of the impact factor to hydrodynamics intensity is smaller.In this way, the sensitivity value of allowed for influencing factors, it can quantitatively really
The primary-slave relation of each impact factor in the fixed impact factor set.It should be noted that it has been generally acknowledged that sensitivity value is 10-2~
10-1Between impact factor be main.
Impact factor can have different correlations from hydrodynamics intensity.Specifically, core intersection, the coefficient of variation,
The impact factors such as the differential, rate of water cut increase in longitudinal direction and hydrodynamics intensity can have negative correlation.For example, core intersection
Value is bigger, and hydrodynamics intensity is smaller.Permeability, porosity, oil well daily output liquid, water ratio in oil well, perforation thickness etc. influence because
Son can have positive correlation with hydrodynamics intensity.For example, the value of permeability is bigger, hydrodynamics intensity is bigger.Oil reservoir inclines
The correlation of angle and hydrodynamics intensity can be the parabola that Open Side Down, for example, the increase of the value with oil reservoir inclination angle, water
Dynamics intensity reduces again first to increase.For thickness of interlayer, when interlayer is distributed mainly on oil reservoir top, thickness of interlayer
There can be positive correlation with hydrodynamics intensity；When interlayer is distributed mainly on oil reservoir lower part, thickness of interlayer and hydrodynamics
Intensity can have negative correlation.
Using the sensitivity value of impact factor as Main Basiss, at the same consider impact factor hydrodynamics physical significance and
With the correlation of hydrodynamics intensity, the object effects factor finally chosen can include：Permeability, core intersection, interlayer are thick
Degree, perforation thickness, water ratio in oil well, oil well daily output liquid.
Step S12：The weighted value and the object effects factor for determining each object effects factor are each evaluated relatively
Grade is subordinate to angle value.
In the present embodiment, the server can be based on opinion rating set structure fuzzy set V；It can be based on selection
The object effects factor builds sub- impact factor set C.For example, the fuzzy set V={ V1,V2,V3, V1It can represent high praise
Grade, V2Opinion rating in can representing, V3It can represent low opinion rating.For another example, the sub- impact factor set C={ C1,
C2,…,C6, C1It can represent core intersection, C2It can represent permeability, C3It can represent thickness of interlayer, C4It can represent perforation
Thickness, C5It can represent water ratio in oil well, C6It can represent that oil well produces liquid daily.
In an embodiment of the present embodiment, the server can use analytic hierarchy process principle, by sub- influence
The object effects factor in factor set is compared and then obtains multiple importance scales two-by-two；It can be based on importance scale
Structure comparison matrix；The weighted value of each object effects factor can be determined based on comparison matrix.Wherein, the analytic hierarchy process (AHP)
It is a kind of short-cut method for making quantitative analysis to non-quantitation event, the subjective judgement of people can be converted to the visitor of certain forms
See statement.Specifically, the server can use function f (Cα,Cβ), by the object effects factor in sub- impact factor set
It is compared two-by-two and then obtains multiple importance scales；It can be based on importance scale structure comparison matrix W=(wsj)n×n,
Wherein wsj=f (Cαs,Cβj)；Can the corresponding weighted value matrix As of sub- influence set C, weighted value square be determined based on comparison matrix W
The element representation weighted value of the object effects factors in battle array A.
In a Sample Scenario of present embodiment, 1~9 ratio as shown in table 2 below may be used in the server
The object effects factor in sub- impact factor set is compared and then obtains multiple importance scales by scaling law two-by-two.
Table 2
| Impact factor CαCompared to CβImportance | f(Cα,Cβ) value | f(Cβ,Cα) value |
| CαCompared to CβIt is of equal importance | 1 | 1 |
| CαCompared to CβIt is slightly important | 3 | 1/3 |
| CαCompared to CβIt is apparent important | 5 | 1/5 |
| CαCompared to CβIt is particularly significant | 7 | 1/7 |
| CαCompared to CβIt is of crucial importance | 9 | 1/9 |
| CαCompared to CβImportance between of equal importance and slightly important | 2 | 1/2 |
| CαCompared to CβImportance between it is slightly important and it is apparent it is important between | 4 | 1/4 |
| CαCompared to CβImportance between it is apparent it is important and particularly significant between | 6 | 1/6 |
| CαCompared to CβImportance between particularly significant and of crucial importance | 8 | 1/8 |
It should be noted that in above-mentioned table 2, " of equal importance ", " slightly important ", " apparent important ", " particularly significant ",
" of crucial importance " etc. compares the importance of another impact factor for one impact factor of expression；1st, 2,3,5,7,9,1/3 etc.
For importance scale；Function f (Cα,Cβ) value for representing impact factor CαCompared to CβImportance scale, function f (Cβ,Cα)
Value for representing impact factor CβCompared to CαImportance scale.
In this Sample Scenario, for example, the sub- impact factor set C={ C1,C2,…,C6, wherein C1It can represent
Core intersection, C2It can represent permeability, C3It can represent thickness of interlayer, C4It can represent perforation thickness, C5It can represent oil well
Moisture content, C6It can represent that oil well produces liquid daily.Based on sub- impact factor set C, 1~9 ratio scale shown in above-mentioned table 2 is used
Method, and comprehensive analysis is carried out according to general oil field development experience and work area situation and then comparison matrix can be built
Comparison matrix W is normalized that can to obtain weight coefficient as follows.
C in object effects factor set1Weighted value can be
C in object effects factor set2Weighted value can be
C in object effects factor set3Weighted value can be
C in object effects factor set4Weighted value can be
C in object effects factor set5Weighted value can be
C in object effects factor set6Weighted value can be
Therefore weighted value matrix A=[A1,A2,…,A6]=[0.05,0.07,0.09,0.15,0.41,0.23], specifically may be used
With referring to such as the following table 3.
Table 3
| The object effects factor | Weighted value |
| Core intersection | 0.05 |
| Permeability | 0.07 |
| Thickness of interlayer | 0.09 |
| Perforation thickness | 0.15 |
| Water ratio in oil well | 0.41 |
| Oil well produces liquid daily | 0.23 |
In the another embodiment of the present embodiment, the server can provide each in the opinion rating set
The corresponding membership function of opinion rating.Wherein, each opinion rating can correspond to multiple membership functions, different degrees of membership
Function has the impact factor of different correlations for association from hydrodynamics intensity.In this way, each target shadow for selection
Ring the factor, the server can the correlation based on the object effects factor and hydrodynamics intensity, from each opinion rating
Target membership function is chosen in corresponding multiple membership functions；It can be by value of the oil well with respect to the object effects factor
The target membership function is substituted into, the object effects factor is obtained and is subordinate to angle value with respect to the opinion rating.
In a Sample Scenario of present embodiment, the quantity of opinion rating can be 3 in the opinion rating set
It is a, including high praise grade, middle opinion rating, low opinion rating.It is the high praise grade, the middle opinion rating, described low
The quantity of the corresponding membership function of opinion rating is two.Specifically, the corresponding membership function of the high praise grade
It can include U11(x) and U21(x), membership function U11(x) can be used for association and hydrodynamics intensity has positive correlation
Impact factor, membership function U21(x) it can be used for the impact factor that association has negative correlation with hydrodynamics intensity.It is described
The corresponding membership function of middle opinion rating can include U12(x) and U22(x), membership function U12(x) can be used for association with
Hydrodynamics intensity has the impact factor of positive correlation, membership function U22(x) it can be used for association and hydrodynamics intensity
Impact factor with negative correlation.The corresponding membership function of the low opinion rating can include U13(x) and U23(x), it is subordinate to
Category degree function U13(x) it can be used for the impact factor that association has positive correlation with hydrodynamics intensity, membership function U23
(x) it can be used for the impact factor that association has negative correlation with hydrodynamics intensity.
Membership function U11(x)、U12(x)、U13(x)、U21(x)、U22(x)、U23It (x) can be as follows respectively.
In above formula (2)~(7),
U11(x)、U12(x)、U13(x) it represents when impact factor and hydrodynamics intensity have positive correlation, impact factor
Respectively with respect to the membership function of high praise grade, middle opinion rating and low opinion rating；
e1(Ⅰ)、e1(Ⅱ)、e1(III) it represents respectively when impact factor and hydrodynamics intensity have positive correlation, work area
The value of impact factor is more than e in the average value of interior each sample oil well relative effect factor, work area1(I) sample oil well is opposite
The value of impact factor is less than e in the average value of impact factor, work area1(I) average value of the sample oil well relative effect factor；
U21(x)、U22(x)、U23(x) it represents when impact factor and hydrodynamics intensity have negative correlation, impact factor
Respectively with respect to the membership function of high praise grade, middle opinion rating and low opinion rating；
e2(Ⅱ)、e2(Ⅲ)、e2(I) it represents respectively when impact factor and hydrodynamics intensity have negative correlation, work area
The value of impact factor is more than e in the average value of interior each sample oil well relative effect factor, work area2(III) sample oil well is opposite
The value of impact factor is less than e in the average value of impact factor, work area2(III) average value of the sample oil well relative effect factor；
X represents the value of the oil well relative effect factor described in step S10.
In this Sample Scenario, for example, the fuzzy set V={ V1,V2,V3, V1It can represent high praise grade, V2It can be with
Opinion rating in expression, V3It can represent low opinion rating.The sub- impact factor set C={ C1,C2,…,C6, C1It can be with table
Show core intersection, C2It can represent permeability, C3It can represent thickness of interlayer, C4It can represent perforation thickness, C5It can represent oil
Well moisture content, C6It can represent that oil well produces liquid daily.So, the typical value of the object effects factor can in the sub- impact factor set
With as shown in table 4 below.In table 4, middle typical value can represent being averaged for each sample oil well relative target impact factor in work area
Value；Weak typical value can represent that the value of the object effects factor in work area is more than the sample well of middle typical value, with respect to the object effects
The average value of the factor；Strong typical value can represent that the value of the object effects factor in work area is less than the sample well of middle typical value, relatively
The average value of the object effects factor.
Table 4
Core intersection has negative correlation with hydrodynamic intensity.It so, can be with according to the typical value of core intersection in table 4
The membership function for building core intersection is specific as follows.
In above formula (8)~(10), x1For representing value of the oil well described in step S10 with respect to core intersection.
Permeability has positive correlation with hydrodynamic intensity.So, it according to the typical value of permeability in table 4, can build
The membership function of permeability is specific as follows.
In above formula (11)~(13), x2For representing the value of oil well relative permeability described in step S10.
Thickness of interlayer and hydrodynamic intensity have positive correlation, then, it, can be with according to the typical value of thickness of interlayer in table 4
The membership function for building thickness of interlayer is specific as follows.
In above formula (14)~(16), x3For representing value of the oil well described in step S10 with respect to thickness of interlayer.
Perforation thickness has positive correlation with hydrodynamic intensity.It so, can be with according to the typical value of perforation thickness in table 4
The membership function for building perforation thickness is specific as follows.
In above formula (17)~(19), x4For representing value of the oil well described in step S10 with respect to perforation thickness.
Water ratio in oil well has positive correlation with hydrodynamic intensity.So, according to the typical value of water ratio in oil well in table 4,
The membership function that water ratio in oil well can be built is as follows.
In above formula (20)~(22), x5For representing value of the oil well described in step S10 with respect to water ratio in oil well.
Oil well, which produces liquid and hydrodynamic intensity daily, has positive correlation.So, the typical value of liquid is produced daily according to oil well in table 4,
The membership function that can be built is as follows.
In above formula (23)~(25), x6For representing value of the oil well described in step S10 with respect to oil well daily output liquid.
In this Sample Scenario, continuation of the previous cases, each mesh in the relatively described sub- impact factor set of oil well described in step S10
The value for marking impact factor can be as shown in table 5 below.
Table 5
According to above-mentioned table 5 and formula (8)~(25), the sub- impact factor set can be calculated in the server
In each object effects factor be subordinate to angle value with respect to high praise grade, middle opinion rating, low opinion rating respectively, specifically can be with
It is represented using subordinated-degree matrix R.Specifically,
Step S14：Based on angle value and weighted value is subordinate to, the probability value of the relatively each opinion rating of the oil well is determined.
In the present embodiment, the server can use formulaDetermine that the oil well is relatively described
The probability value of each opinion rating in opinion rating set.Wherein, B can be pro-bability value matrices, for representing the oil well phase
To the probability value of each opinion rating；A can be weighted value matrix, for representing the weighted value of each object effects factor；R can
Subordinated-degree matrix is thought, for representing the degree of membership of each object effects factor relatively each opinion rating respectively；It can
Operation operator is thought, for representing operationSpecifically, bkIt can represent the element in pro-bability value matrices B, k can be with
Represent a certain opinion rating in the opinion rating set, aiIt can represent the element in weighted value matrix A, i can be represented
The sub- impact factor of a certain target in sub- impact factor set, rikIt can represent the element in subordinated-degree matrix R.
In a Sample Scenario of the present embodiment, the quantity of opinion rating can be 3 in the opinion rating set, institute
The quantity for stating the object effects factor in sub- impact factor set can be 6.Specifically, the fuzzy set V={ V1,V2,V3, V1
It can represent high praise grade, V2Opinion rating in can representing, V3It can represent low opinion rating.The sub- impact factor collection
Close C={ C1,C2,…,C6, C1It can represent core intersection, C2It can represent permeability, C3It can represent thickness of interlayer, C4It can
To represent perforation thickness, C5It can represent water ratio in oil well, C6It can represent that oil well produces liquid daily.So,Wherein,
K=1,2,3,
Further, for example, weighted value matrix A=[A1,A2,…,A6]=[0.05,0.07,0.09,0.15,0.41,
0.23].Subordinated-degree matrixSo, pro-bability value matrices Wherein, 0.5542 for the oil well with respect to high praise grade
Probability value, 0.4458 is the probability value of the relatively middle opinion rating of the oil well, and 0 is the probability of the relatively low opinion rating of the oil well
Value.
Step S16：Based on probability value, the opinion rating of the oil well is determined.
In the present embodiment, the server can use formulaDetermine the opinion rating of the oil well.
Wherein, y can represent the hydrodynamics intensity of the oil well；P can represent undetermined coefficient, such as can be 1 or 2.
In a Sample Scenario of the present embodiment, the quantity of opinion rating can be 3 in the opinion rating set.Tool
Body, the fuzzy set V={ V1,V2,V3, V1It can represent high praise grade, V2Opinion rating in can representing, V3It can be with table
Show low opinion rating.So,
Further, for example, pro-bability value matrices B=[0.5542,0.4458,0].Enable p=2；V1=3；V2=2；V3=1.
So,It follows that the hydrodynamics of oil well is strong described in step S10
It is 2.61 to spend, close to the 3 (V of hydrodynamics intensity represented by high praise grade1=3).It can thus determine oily described in step S10
The opinion rating of well is high praise grade.And from the gap between 2.61 and 3, it also can obtain oil well described in step S10 and belong to
The degree of high praise grade and with middle opinion rating, the difference degree of weak opinion rating.
In the present embodiment, the server can provide opinion rating set；It can be according to default screening index from shadow
Ring multiple object effects factors that oil well is chosen in factor set；It can determine the weighted value of each object effects factor and every
A relatively each opinion rating of the object effects factor is subordinate to angle value；It can be based on being subordinate to angle value and weighted value, determine the oil
The probability value of the relatively each opinion rating of well；Probability value can be based on, determines the opinion rating of the oil well.In the present embodiment
In, the server can choose the required object effects factor according to preset screening index from impact factor set, into
And probability distribution thought can be utilized, determine that the weighted value of each object effects factor and each object effects factor are relatively each
A opinion rating is subordinate to angle value, with reference to being subordinate to angle value and weighted value is determined the calculating of opinion rating.Therefore, the service
Device can objective, accurately evaluate the productive potentialities of oil well.
Further, in the present embodiment, the server can be quantified as a result, and then according to the result of quantization
To determine the opinion rating of oil well.Characterize the things state in which with the form of digital quantization, largely weaken with
Toward classification and the subjectivity judged, general property, objectivity and accuracy are further enhanced.In addition, from oil reservoir produced degree and
Fluid migration severe degree angle, can rapid qualitative evaluation oil reservoir different zones exploitation rule and residual production potential, so as to depth
Change the understanding to oil reservoir development dynamic and direction of taping the latent power, there is important meaning to oil reservoir different zones dynamic analysis and modification scenario
Justice.
Please refer to Fig. 2.The embodiment of the present application also provides a kind of evaluation of the land productive potential device, including：
Unit 20 is provided, for providing opinion rating set；The opinion rating set includes multiple opinion ratings；
Selection unit 22, for choosing multiple object effects of oil well from impact factor set according to default screening index
The factor；
First determination unit 24, for determining the weighted value of each object effects factor and each object effects factor phase
Angle value is subordinate to each opinion rating；
Second determination unit 26 for being based on being subordinate to angle value and weighted value, determines the relatively each opinion rating of the oil well
Probability value；
Third determination unit 28 for being based on probability value, determines the opinion rating of the oil well.
In the 1990s, the improvement of a technology can be distinguished clearly be on hardware improvement (for example,
Improvement to circuit structures such as diode, transistor, switches) or software on improvement (improvement for method flow).So
And with the development of technology, the improvement of current many method flows can be considered as directly improving for hardware circuit.
Designer nearly all obtains corresponding hardware circuit by the way that improved method flow is programmed into hardware circuit.Cause
This, it cannot be said that the improvement of a method flow cannot be realized with hardware entities module.For example, programmable logic device
(Programmable Logic Device, PLD) (such as field programmable gate array (Field Programmable Gate
Array, FPGA)) it is exactly such a integrated circuit, logic function determines device programming by user.By designer
Voluntarily programming a digital display circuit " integrated " on a piece of PLD, designs and make without asking chip maker
Dedicated IC chip 2.Moreover, nowadays, substitution manually makes IC chip, and this programming is also used instead mostly
" logic compiler (logic compiler) " software realizes that software compiler used is similar when it writes with program development
Seemingly, and the source code before compiling also handy specific programming language is write, this is referred to as hardware description language
(Hardware Description Language, HDL), and HDL is also not only a kind of, but there are many kind, such as ABEL
(Advanced Boolean Expression Language)、AHDL(Altera Hardware Description
Language)、Confluence、CUPL(Cornell University Programming Language)、HDCal、JHDL
(Java Hardware Description Language)、Lava、Lola、MyHDL、PALASM、RHDL(Ruby
Hardware Description Language) etc., VHDL (Very-High-Speed are most generally used at present
Integrated Circuit Hardware Description Language) and Verilog2.Those skilled in the art
It will be apparent to the skilled artisan that it only needs method flow slightly programming in logic and being programmed into integrated circuit with above-mentioned several hardware description languages
In, it is possible to it is readily available the hardware circuit for realizing the logical method flow.
System, device, module or the unit that above-described embodiment illustrates can specifically realize by computer chip or entity,
Or it is realized by having the function of certain product.
System, device, module or the unit that above-described embodiment illustrates can specifically realize by computer chip or entity,
Or it is realized by having the function of certain product.A kind of typical realization equipment is computer.Specifically, computer for example may be used
Think personal computer, laptop computer, cellular phone, camera phone, smart phone, personal digital assistant, media play
It is any in device, navigation equipment, electronic mail equipment, game console, tablet computer, wearable device or these equipment
The combination of equipment.
As seen through the above description of the embodiments, those skilled in the art can be understood that this specification
The mode of required general hardware platform can be added to realize by software.Based on such understanding, the technical solution of this specification
Substantially the part that the prior art contributes can be embodied in the form of software product in other words, the computer software
Product can be stored in storage medium, such as ROM/RAM, magnetic disc, CD, used including some instructions so that a computer
Equipment (can be personal computer, server either network equipment etc.) performs each embodiment of this specification or embodiment
Certain parts described in method.
Each embodiment in this specification is described by the way of progressive, identical similar portion between each embodiment
Point just to refer each other, and the highlights of each of the examples are difference from other examples.Especially for system reality
For applying example, since it is substantially similar to embodiment of the method, so description is fairly simple, related part is referring to embodiment of the method
Part explanation.
This specification can be used in numerous general or special purpose computing system environments or configuration.Such as：Personal computer,
Server computer, handheld device or portable device, laptop device, multicomputer system, the system based on microprocessor,
Set top box, network PC, minicomputer, mainframe computer, including any of the above system or is set programmable consumer-elcetronics devices
Standby distributed computing environment etc..
This specification can be described in the general context of computer executable instructions, such as journey
Sequence module.Usually, program module include routines performing specific tasks or implementing specific abstract data types, program, object,
Component, data structure etc..This specification can also be put into practice in a distributed computing environment, in these distributed computing environment
In, by performing task by communication network and connected remote processing devices.In a distributed computing environment, program module
It can be located in the local and remote computer storage media including storage device.
Although depicting this specification by embodiment, it will be appreciated by the skilled addressee that there are many become for this specification
Shape and the spirit changed without departing from this specification, it is desirable to which appended claim includes these deformations and changes without departing from this
The spirit of specification.
Claims (10)
1. a kind of evaluation of the land productive potential method, provides opinion rating set；The opinion rating set includes multiple opinion ratings；
It is characterized in that, the method includes：
Multiple object effects factors of oil well are chosen from impact factor set according to default screening index；
Determine the weighted value of each object effects factor and the degree of membership of the relatively each opinion rating of each object effects factor
Value；
Based on angle value and weighted value is subordinate to, the probability value of the relatively each opinion rating of the oil well is determined；
Based on probability value, the opinion rating of the oil well is determined.
2. the method as described in claim 1, which is characterized in that the default screening index includes：Wherein,
x0Represent the original value of impact factor；
xng+Represent that impact factor increases the value after g；
xng-Represent that impact factor reduces the value after g；
y0Represent the original hydrodynamics intensity of oil well；
yng+Represent that impact factor increases the oil well hydrodynamics intensity after g；
yng-Represent that impact factor reduces the oil well hydrodynamics intensity after g；
G represents the variation degree of impact factor；
hnRepresent the sensitivity value of impact factor.
3. the method as described in claim 1, which is characterized in that the impact factor set include core intersection, oil reservoir inclination angle,
Permeability, porosity, the coefficient of variation, the differential, thickness of interlayer in longitudinal direction, oil well daily output liquid, water ratio in oil well, rate of water cut increase,
One or more of perforation thickness.
4. the method as described in claim 1, which is characterized in that the basis is preset screening index and selected from impact factor set
Multiple object effects factors of oil well are taken, including：
Value and the default screening index based on the relatively each impact factor of the oil well calculate the sensitivity of the impact factor
Value；
The sensitivity value of allowed for influencing factors, chosen from the impact factor set multiple impact factors as object effects because
Son.
5. the method as described in claim 1, which is characterized in that the weighted value for determining each object effects factor, including：
The object effects factor of selection is compared two-by-two and then obtains multiple importance scales；
Comparison matrix is built based on importance scale；
The weighted value of each object effects factor is determined based on comparison matrix.
6. the method as described in claim 1, which is characterized in that each opinion rating in the opinion rating set is corresponding with
Multiple membership functions；Determining each relatively each opinion rating of the object effects factor is subordinate to angle value, including：
For each object effects factor, target degree of membership letter is chosen from the corresponding multiple membership functions of each opinion rating
Value of the oil well with respect to the object effects factor is substituted into the target membership function, obtains the object effects factor by number
It is subordinate to angle value with respect to the opinion rating.
7. method as claimed in claim 6, which is characterized in that the opinion rating set includes high praise grade, middle evaluation
Grade and low opinion rating；
The corresponding membership function of the high praise grade includes：
The corresponding membership function of the middle opinion rating includes：
The corresponding membership function of the low opinion rating includes：
Wherein,
X represents the value of the oil well relative effect factor；
U11(x)、U12(x)、U13(x) it represents when impact factor and hydrodynamics intensity have positive correlation, impact factor difference
With respect to the membership function of high praise grade, middle opinion rating and low opinion rating；
e1(Ⅰ)、e1(Ⅱ)、e1(III) it represents respectively when impact factor and hydrodynamics intensity have positive correlation, it is each in work area
The value of impact factor is more than e in the average value of a sample oil well relative effect factor, work area1(I) sample oil well relative effect
The value of impact factor is less than e in the average value of the factor, work area1(I) average value of the sample oil well relative effect factor；
U21(x)、U22(x)、U23(x) it represents when impact factor and hydrodynamics intensity have negative correlation, impact factor difference
With respect to the membership function of high praise grade, middle opinion rating and low opinion rating；
e2(Ⅱ)、e2(Ⅲ)、e2(I) it represents respectively when impact factor and hydrodynamics intensity have negative correlation, it is each in work area
The value of impact factor is more than e in the average value of a sample oil well relative effect factor, work area2(III) sample oil well relative effect
The value of impact factor is less than e in the average value of the factor, work area2(III) average value of the sample oil well relative effect factor.
8. the method as described in claim 1, which is characterized in that the probability for determining the relatively each opinion rating of the oil well
Value, including：
Use formulaDetermine the probability value of the relatively each opinion rating of the oil well；Wherein,
B is pro-bability value matrices, represents the probability value of the relatively each opinion rating of the oil well；
A is weight value matrix, represents the weighted value of each object effects factor；
R is subordinated-degree matrix, represents the degree of membership of each object effects factor relatively each opinion rating respectively；
For operation operator.
9. the method as described in claim 1, which is characterized in that the opinion rating for determining the oil well, including：
Use formulaDetermine the opinion rating of the oil well；Wherein,
Y represents the hydrodynamics intensity of the oil well；
P represents undetermined coefficient.
10. a kind of evaluation of the land productive potential device, which is characterized in that including：
Unit is provided, for providing opinion rating set；The opinion rating set includes multiple opinion ratings；
Selection unit, for choosing multiple object effects factors of oil well from impact factor set according to default screening index；
First determination unit, for determining that the weighted value of each object effects factor and each object effects factor are relatively each
Opinion rating is subordinate to angle value；
Second determination unit for being based on being subordinate to angle value and weighted value, determines the probability of the relatively each opinion rating of the oil well
Value；
Third determination unit for being based on probability value, determines the opinion rating of the oil well.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711304789.XA CN108182510B (en) | 2017-12-11 | 2017-12-11 | Production potential evaluation method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711304789.XA CN108182510B (en) | 2017-12-11 | 2017-12-11 | Production potential evaluation method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108182510A true CN108182510A (en) | 2018-06-19 |
| CN108182510B CN108182510B (en) | 2022-05-10 |
Family
ID=62545843
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711304789.XA Active CN108182510B (en) | 2017-12-11 | 2017-12-11 | Production potential evaluation method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108182510B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110866663A (en) * | 2018-08-27 | 2020-03-06 | 中国石油天然气股份有限公司 | Water injection oil replacement well selection evaluation method and device and storage medium |
| CN112200689A (en) * | 2019-07-08 | 2021-01-08 | 中国石油天然气股份有限公司 | Method and device for determining potential dispersity of oil reservoir seepage field |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104018831A (en) * | 2014-06-24 | 2014-09-03 | 西南石油大学 | Method for evaluating reservoir of fractured well |
| CN104484556A (en) * | 2014-11-28 | 2015-04-01 | 中国石油天然气股份有限公司 | Oilfield development evaluation method |
| US20160145994A1 (en) * | 2014-11-20 | 2016-05-26 | Petrochina Company Limited | Evaluation Method and Evaluation Device for Water Breakthrough Risk of Production Wells in Aquifer Drive Gas Reservoirs |
| CN105626009A (en) * | 2015-12-17 | 2016-06-01 | 中国石油天然气股份有限公司 | Fracture-cavern type carbonate oil reservoir single well water injection oil substituting effect quantitative evaluation method |
| CN107035348A (en) * | 2017-05-08 | 2017-08-11 | 中国石油天然气股份有限公司 | A kind of oil field profile control multiplicity well choosing method and device |
-
2017
- 2017-12-11 CN CN201711304789.XA patent/CN108182510B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104018831A (en) * | 2014-06-24 | 2014-09-03 | 西南石油大学 | Method for evaluating reservoir of fractured well |
| US20160145994A1 (en) * | 2014-11-20 | 2016-05-26 | Petrochina Company Limited | Evaluation Method and Evaluation Device for Water Breakthrough Risk of Production Wells in Aquifer Drive Gas Reservoirs |
| CN104484556A (en) * | 2014-11-28 | 2015-04-01 | 中国石油天然气股份有限公司 | Oilfield development evaluation method |
| CN105626009A (en) * | 2015-12-17 | 2016-06-01 | 中国石油天然气股份有限公司 | Fracture-cavern type carbonate oil reservoir single well water injection oil substituting effect quantitative evaluation method |
| CN107035348A (en) * | 2017-05-08 | 2017-08-11 | 中国石油天然气股份有限公司 | A kind of oil field profile control multiplicity well choosing method and device |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110866663A (en) * | 2018-08-27 | 2020-03-06 | 中国石油天然气股份有限公司 | Water injection oil replacement well selection evaluation method and device and storage medium |
| CN112200689A (en) * | 2019-07-08 | 2021-01-08 | 中国石油天然气股份有限公司 | Method and device for determining potential dispersity of oil reservoir seepage field |
| CN112200689B (en) * | 2019-07-08 | 2024-03-29 | 中国石油天然气股份有限公司 | Method and device for determining potential dispersity of oil reservoir seepage field |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108182510B (en) | 2022-05-10 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Simon et al. | Critical evaluation of how the Rosgen classification and associated “natural channel design” methods fail to integrate and quantify fluvial processes and channel response 1 | |
| Boyle et al. | A sensitivity analysis of nine diversity and seven similarity indices | |
| TW201928841A (en) | Method, apparatus, and device for training risk control model and risk control | |
| Huang | Reformulation of the bed load equation of Meyer‐Peter and Müller in light of the linearity theory for alluvial channel flow | |
| Al-Shammasi | A review of bubblepoint pressure and oil formation volume factor correlations | |
| CN107366534B (en) | Method and device for determining coarsening permeability | |
| Harmel et al. | Review and development of ASABE engineering practice 621:“Guidelines for calibrating, validating, and evaluating hydrologic and water quality models” | |
| CN108182510A (en) | Evaluation of the land productive potential method and apparatus | |
| Liucci et al. | The fractal properties of topography as controlled by the interactions of tectonic, lithological, and geomorphological processes | |
| CN111025409B (en) | Flooded layer evaluation method and device and storage medium | |
| Turak et al. | Multi-attribute ecological river typology for assessing ecological condition and conservation planning | |
| CN111126865B (en) | Technology maturity judging method and system based on technology big data | |
| Naeej et al. | Hydraulic conductivity prediction based on grain-size distribution using M5 model tree | |
| Abbasi et al. | Aquifer vulnerability assessments using DRASTIC, weights of evidence and the analytic element method | |
| CN108227033B (en) | Method and device for predicting porosity of sandstone reservoir and computer storage medium | |
| Böhringer et al. | The Cosmic Large-Scale Structure in X-rays (CLASSIX) Cluster Survey-IV. Superclusters in the local Universe at z≤ 0.03 | |
| CN109870743B (en) | Page-based seam space spread prediction method and device | |
| Fredrick et al. | Enhancement of aquifer vulnerability indexing using the analytic-element method | |
| CN116340781A (en) | Similarity determination method, similarity prediction model training method and device | |
| Van Deventer et al. | Using the landform tool to calculate landforms for hydrogeomorphic wetland classification at a country-wide scale | |
| CN116244426A (en) | Geographic function area identification method, device, equipment and storage medium | |
| CN110320573B (en) | Logging parameter construction method and system reflecting reservoir productivity | |
| Goda et al. | Use of artificial intelligence techniques for predicting irreducible water saturation-Australian hydrocarbon basins | |
| Yusefzadeh et al. | Estimation hydraulic conductivity via intelligent models using geophysical data | |
| Sizov et al. | Application of Machine Learning Methods in Modeling Hydrolithospheric Processes |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |