CN102346806A - High-water-cut oil field layer recombination scheme selection method and high-water-cut oil field layer recombination scheme selection system - Google Patents
High-water-cut oil field layer recombination scheme selection method and high-water-cut oil field layer recombination scheme selection system Download PDFInfo
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Abstract
The invention provides a high-water-cut oil field layer recombination scheme selection method and a high-water-cut oil field layer recombination scheme selection system. The method includes the following steps: according to the difference of permeability, recovery percentage and comprehensive water cut between single sand layers and the distribution of interlayers, determining a plurality of layer recombination schemes; according to the characteristics and exploitation effect of an oil reservoir, working out the effect value of each effect factor in each layer recombination scheme; according to the significance of each effect factor, determining the weight of each effect factor; weighting the effect value of each effect factor and the weight of each effect factor to obtain the effect sample information (including the effect value of each layer recombination scheme) of each layer recombination scheme meeting a predetermined recombination goal; according to the effect sample information, adopting floor effect measurement operation to obtain effect measurement information; and according to the effect measurement information, selecting a scheme meeting the predetermined recombination goal from the layer recombination schemes.
Description
Technical field
The present invention relates to field of petroleum exploitation, particularly, relate to the system of selection and the device of a kind of highly aqueous field series of strata reorganization scheme.
Background technology
The waterflooding sand-flag oil reservoir of China; Can be subdivided into the individual reservoir that tens to more than 100 thin and thicks do not wait in the vertical; Because the nonuniformity of its nonmarine deposit; Caused the physical property of each oil reservoir different, permeability contrast is bigger, and the ability that oil, gas, water or other fluid pass through differs and can reach hundreds of to thousands of times.This type of oil reservoir is through for many years exploitation adjustment, and after getting into high water-cut stage, interlayer interference and the individual layer phenomenon of advancing by leaps and bounds is serious, and development effectiveness is variation gradually.And after the process exploitation of decades, CNPC has developed the high recovery percent of reserves of the whole entering of maturing field " two high " stage moisture with height at present.
Therefore, on the subdivision of reservoir basis, the series of strata reorganization is carried out in highly aqueous field and optimized, have important effect for improving reservoir layer differences, raising water drive control degree and producing degree of reservoir.The conventional method of confirming the series of strata reorganization scheme at present mainly contains reservoir engineering method and numerical reservoir simulation method; Wherein: reservoir engineering method is mainly analyzed the feasibility of series of strata assembled scheme from employing aspects such as degree, interlayer, fluid properties and surplus yield; This method is more quick; But the series of strata assembled scheme of confirming is single, is difficult to distinguish comparison for the quality of multiple array mode, and decision maker's subjective factor is also stronger; Though numerical reservoir simulation method can consider to influence the multiple factor of series of strata combination back development effectiveness, can carry out than choosing multiple series of strata array mode comprehensively, it is consuming time longer, has influenced work efficiency to a great extent.
In sum, present series of strata reorganization scheme can't be taken into account between efficient and effect.
Summary of the invention
The fundamental purpose of the embodiment of the invention is to provide the system of selection and the device of a kind of highly aqueous field series of strata reorganization scheme, to solve the problem that series of strata reorganization scheme of the prior art can't be taken into account between efficient and effect.
To achieve these goals; The embodiment of the invention provides the system of selection of a kind of highly aqueous field series of strata reorganization scheme; This method comprises: according to the distribution of the permeability between each single layer of sand, recovery percent of reserves, comprehensive water cut otherness and interlayer, confirm a plurality of series of strata reorganization schemes; According to oil reservoir characteristic and development effectiveness; Obtain the effect value of each effect factor at each series of strata reorganization scheme; Wherein, the described effect factor comprises: the block permeability grade, the block recovery percent of reserves is differential, the block comprehensive water cut is differential, the series of strata intrinsic permeability is differential, in the series of strata in differential, the series of strata of recovery percent of reserves between differential, the series of strata of comprehensive water cut between permeability grade, series of strata between differential, the series of strata of recovery percent of reserves differential, the well segment length of comprehensive water cut, the combination number of plies and series of strata geologic reserve account for total geologic reserve ratio; According to the importance of said each effect factor, confirm the weight of each effect factor; The effect value of said each effect factor and the weight of said each effect factor are carried out operation for weighting; To be met the effect sample information of each series of strata reorganization scheme of being scheduled to target recombinant; Wherein, described effect sample information comprises the effect value of each series of strata reorganization scheme; According to said effect sample information, adopt floor effect to estimate operation and obtain measure of merit information; According to described measure of merit information, select to satisfy the scheme of said predetermined target recombinant from described a plurality of series of strata reorganization schemes.
Particularly, obtaining each effect factor according to oil reservoir characteristic and development effectiveness comprises in the effect value of each series of strata reorganization scheme: obtain the mean value of each effect factor in each series of strata reorganization scheme; Obtain the standard variance of said each effect factor in each series of strata reorganization scheme according to the mean value of said each effect factor in each series of strata reorganization scheme; Confirm the effect value of said each effect factor according to the differential scope of the standard variance of said each effect factor in each series of strata reorganization scheme.
Wherein, the said mean value of each effect factor in each series of strata reorganization scheme that obtains comprises: the mean value that obtains each the effect factor in each series of strata in each series of strata reorganization scheme; According to the mean value of each the effect factor in the series of strata quantity in each series of strata reorganization scheme and said each series of strata, obtain the mean value of each the effect factor in each series of strata reorganization scheme.
Preferably, obtain described effect sample information u through following formula
j:
Wherein, j=1,2 ... m, m represent the quantity of series of strata assembled scheme, and l representes the sum of the effect factor, λ
pBe the weight of each effect factor, C
pBe the effect value of each effect factor, ∑ is represented sum operation.
Obtaining measure of merit information through following formula comprises:
wherein, min{} representes to get the minimum value operation.
The embodiment of the invention also provides the selecting arrangement of a kind of highly aqueous field series of strata reorganization scheme; Said device comprises: the series of strata reorganization scheme is confirmed the unit; Be used for distribution, confirm a plurality of series of strata reorganization schemes according to the permeability between each single layer of sand, recovery percent of reserves, comprehensive water cut otherness and interlayer; Effect factorial effect value obtains the unit; Be used for according to oil reservoir characteristic and development effectiveness; Obtain the effect value of each effect factor at each series of strata reorganization scheme; Wherein, the described effect factor comprises: the block permeability grade, the block recovery percent of reserves is differential, the block comprehensive water cut is differential, the series of strata intrinsic permeability is differential, in the series of strata in differential, the series of strata of recovery percent of reserves between differential, the series of strata of comprehensive water cut between permeability grade, series of strata between differential, the series of strata of recovery percent of reserves differential, the well segment length of comprehensive water cut, the combination number of plies and series of strata geologic reserve account for total geologic reserve ratio; Effect factor weight is confirmed the unit, is used for the importance according to said each effect factor, confirms the weight of each effect factor; The effect sample information obtains the unit; Be used for the effect value of said each effect factor and the weight of said each effect factor are carried out operation for weighting; To be met the effect sample information of each series of strata reorganization scheme of being scheduled to target recombinant; Wherein, described effect sample information comprises the effect value of each series of strata reorganization scheme; Measure of merit information acquisition unit is used for according to said effect sample information, adopts floor effect to estimate operation and obtains measure of merit information; Series of strata reorganization scheme selected cell is used for according to described measure of merit information, selects to satisfy the scheme of said predetermined target recombinant from described a plurality of series of strata reorganization schemes.
Particularly, effect factorial effect value acquisition unit comprises: effect factor mean value acquisition module is used for obtaining the mean value of each effect factor at each series of strata reorganization scheme; Effect factor standard variance acquisition module is used for obtaining the standard variance of said each effect factor in each series of strata reorganization scheme according to said each effect factor at the mean value of each series of strata reorganization scheme; Effect factorial effect value is confirmed the unit, is used for confirming in the differential scope of the standard variance of each series of strata reorganization scheme according to said each effect factor the effect value of said each effect factor.
Wherein, effect factor mean value acquisition module comprises: effect factor mean value obtains submodule in the series of strata, is used for obtaining the mean value of each the effect factor in each each series of strata of series of strata reorganization scheme; Scheme effect factor mean value obtains submodule, is used for the mean value according to the series of strata quantity and each the effect factor in said each series of strata of each series of strata reorganization scheme, obtains the mean value of each the effect factor in each series of strata reorganization scheme.
Above-mentioned effect sample information obtains the unit and obtains described effect sample information u through following formula
j:
Wherein, j=1,2 ... m, m represent the quantity of series of strata assembled scheme, and l representes the sum of the effect factor, λ
pBe the weight of each effect factor, C
pBe the effect value of each effect factor, ∑ is represented sum operation.
Above-mentioned measure of merit information acquisition unit obtains described measure of merit information r through following formula
j:
Wherein, min{} representes to get the minimum value operation.
By means of technique scheme one of at least; Through effect value and weight according to the effect factor; Obtain the effect sample information of predetermined each series of strata reorganization scheme, and then obtain measure of merit information, from predetermined series of strata reorganization scheme, select to satisfy the scheme of predetermined target recombinant then according to measure of merit information according to the effect sample information; Than prior art, the embodiment of the invention can be selected the series of strata reorganization scheme fast and effectively.
Description of drawings
In order to be illustrated more clearly in the embodiment of the invention or technical scheme of the prior art; The accompanying drawing of required use is done to introduce simply in will describing embodiment below; Obviously, the accompanying drawing in describing below only is some embodiments of the present invention, for those of ordinary skills; Under the prerequisite of not paying creative work property, can also obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 is the process flow diagram according to the system of selection of the highly aqueous field series of strata reorganization scheme of the embodiment of the invention;
Fig. 2 is the basic flow sheet according to the series of strata reorganization scheme gray decision optimum seeking method of the embodiment of the invention;
Fig. 3 is the process flow diagram according to each effect factorial effect value of acquisition of the embodiment of the invention;
Fig. 4 is the process flow diagram according to permeability grade effect value between the acquisition series of strata of the embodiment of the invention;
Fig. 5 is the structured flowchart according to the selecting arrangement of the highly aqueous field series of strata reorganization scheme of the embodiment of the invention;
Fig. 6 is the structured flowchart that obtains the unit according to the effect factorial effect value of the embodiment of the invention;
Fig. 7 is the structured flowchart according to the effect factor mean value acquisition module of the embodiment of the invention.
Embodiment
To combine the accompanying drawing in the embodiment of the invention below, the technical scheme in the embodiment of the invention is carried out clear, intactly description, obviously, described embodiment only is the present invention's part embodiment, rather than whole embodiment.Based on the embodiment among the present invention, those of ordinary skills are not making the every other embodiment that is obtained under the creative work prerequisite, all belong to the scope of the present invention's protection.
Because series of strata reorganization scheme of the prior art can't be taken into account efficient and effect, based on this, the embodiment of the invention provides the selection scheme of a kind of highly aqueous field series of strata reorganization scheme, to address the above problem.Below in conjunction with accompanying drawing the present invention is elaborated.
Embodiment one
The embodiment of the invention provides the system of selection of a kind of highly aqueous field series of strata reorganization scheme, and as shown in Figure 1, this method comprises:
Step 101 according to the distribution of the permeability between each single layer of sand, recovery percent of reserves, comprehensive water cut otherness and interlayer, is confirmed a plurality of series of strata reorganization schemes;
Step 103 according to the importance of each effect factor, is confirmed the weight of each effect factor;
Step 104 is carried out operation for weighting with the effect value of each effect factor and the weight of each effect factor, and to be met the effect sample information of each series of strata reorganization scheme of being scheduled to target recombinant, wherein, the effect sample information comprises the effect value of each series of strata reorganization scheme;
Step 106 according to measure of merit information, is selected to satisfy the scheme of predetermined target recombinant from a plurality of series of strata reorganization schemes.
Can find out by above description; Through effect value and weight according to the effect factor; Obtain the effect sample information of predetermined each series of strata reorganization scheme, and then obtain measure of merit information, from predetermined series of strata reorganization scheme, select to satisfy the scheme of predetermined target recombinant then according to measure of merit information according to the effect sample information; Than prior art, the embodiment of the invention can be selected the series of strata reorganization scheme fast and effectively.
Fig. 2 is the basic flow sheet according to the series of strata reorganization scheme gray decision optimum seeking method of the embodiment of the invention, and embodiment for a better understanding of the present invention below describes the embodiment of the invention in detail based on theoretical model shown in Figure 2.As shown in Figure 2, the flow process of series of strata reorganization scheme comprises:
Step 201-202, definition event set and countermeasure collection
According to grey decision-making theory, decision-making has elemental: incident, countermeasure, target and effect.In a certain research range incident all be called the event set in this research range, correspondingly all possible countermeasure all is called the countermeasure collection.The embodiment of the invention is defined as event set with the series of strata prioritization scheme of recombinating, and predetermined series of strata reorganization scheme is defined as the countermeasure collection.
Definition event set A is:
A=(a
1), wherein, a
1For the series of strata reorganization is optimized.
Definition countermeasure collection B is:
B＝(b
1，b
2，b
3，b
4，……，b
n)，
Wherein, b
i(i=1,2,3; 4;, n) be the series of strata reorganization scheme of confirming according to the distribution of the permeability between each single layer of sand (perhaps permeability grade), recovery percent of reserves, comprehensive water cut otherness (perhaps water flooding degree) and interlayer, wherein; Each series of strata reorganization scheme comprises two covers or overlaps the situation of series of strata combination more that the user can arbitrary combination.
Grey decision-making theory thinks that the cartesian product of event set A and countermeasure collection B forms the situation collection:
S=(S
11, S
12, S
13..., S
1n), wherein, S
1j=(a
1, b
j), j=1,2,3,4 ..., n.
Step 203 is confirmed decision objective
In embodiments of the present invention, the purpose that reorganization is optimized according to highly aqueous field series of strata, the decision objective of setting each series of strata reorganization scheme is technological recovery ratio, that is and, the technological recovery ratio effect value of series of strata reorganization scheme is good more, and then corresponding series of strata reorganization scheme is just excellent more.
Step 204-205 confirms the effect factor and effect value and weight
In embodiments of the present invention; Different according to the difference of oil reservoir condition and development effectiveness and each series of strata assembled scheme emphasis; Introduced the notion of the effect factor; Taken into full account between block, the individual reservoir, between series of strata and the series of strata, geologic agent and development index in each series of strata, like permeability grade, geologic reserve, recovery percent of reserves and moisture differential etc. influence, consider also that simultaneously the series of strata geologic reserve accounts for indexs such as the number percent of total geologic reserve, well segment length and the combination number of plies make up final development effectiveness to series of strata influence; The effect value of each effect factor is different because of oil reservoir characteristic and development effectiveness, depends on the oil reservoir development practical experience.
Setting the effect value is 1,2,3, correspond to respectively, in, poor, the weight of each effect factor can be according to expert's knowledge and experience, provide based on the importance of each effect factor.The effect of final series of strata assembled scheme can be taken all factors into consideration the effect value and the weight of the effect factor.
Particularly, as shown in Figure 3, obtain each effect factor according to oil reservoir characteristic and development effectiveness and comprise in the effect value of each series of strata reorganization scheme:
Step 1021 is obtained the mean value of each effect factor in each series of strata reorganization scheme;
Step 1022 obtains the standard variance of each effect factor in each series of strata reorganization scheme according to the mean value of each effect factor in each series of strata reorganization scheme;
Step 1023 is confirmed the effect value of each effect factor according to the differential scope of the standard variance of each effect factor in each series of strata reorganization scheme.
Wherein, step 1021 specifically comprises: the mean value that obtains each the effect factor in each series of strata in each series of strata reorganization scheme; According to the mean value of the series of strata quantity in each series of strata reorganization scheme and each the effect factor in each series of strata, obtain the mean value of each the effect factor in each series of strata reorganization scheme.
Based on flow process shown in Figure 3, below be that permeability grade is an example between series of strata with the effect factor, describe obtaining that permeability grade is in the flow process of the effect value of each series of strata reorganization scheme between series of strata, as shown in Figure 4, this flow process comprises:
Step 401 is obtained the permeability grade mean value in each series of strata in each series of strata reorganization scheme;
Step 402 according to series of strata quantity in each series of strata reorganization scheme and the permeability grade mean value in each series of strata, obtains permeability grade between the series of strata in each series of strata reorganization scheme;
Step 404 is confirmed the effect value of permeability grade between series of strata according to the differential scope of permeability grade standard variance between the series of strata in each series of strata reorganization scheme.
Embodiment for a better understanding of the present invention below describes in further detail definite process of each effect factorial effect value.
(1) the series of strata geologic reserve accounts for the effect value of total geologic reserve ratio
It is a good and bad key factor of decision series of strata reorganization scheme that each series of strata geologic reserve accounts for total geologic reserve ratio, if reserves are balanced between the series of strata, then the desirable property of scheme is stronger; If the reserves difference is bigger between the series of strata, then this scheme is in a disadvantageous position.
Step a calculates the number percent η that each series of strata geologic reserve accounts for total geologic reserve
J (series of strata):
Wherein, n representes the interior little number of layers of each series of strata of each series of strata reorganization scheme, and m representes the series of strata quantity of each series of strata reorganization scheme, and ∑ is represented sum operation.
Step b calculates the mean value
of each scheme
Wherein, n representes the series of strata quantity of each series of strata reorganization scheme, and m representes the quantity of series of strata reorganization scheme.
Step c calculates the standard variance sd of each scheme η
J (scheme):
Wherein, n representes the series of strata quantity of each series of strata reorganization scheme, and m representes the quantity of series of strata reorganization scheme.
Steps d, the effect value of definition η
According to maximum η standard variance sd in all series of strata reorganization schemes
MaxWith minimum η standard variance sd
Min, the differential sd of calculating η standard variance
Sub:
sd
sub＝sd
max-sd
min
Step e, the rank of definition standard variance
With the rank of the standard variance of η be divided into little, in, big 3 ranks, differentially be: sd for little standard variance
Min～(sd
Min+ sd
Sub/ 3), differential standard variance in being is: (sd
Min+ sd
Sub/ 3)～(sd
Min+ 2 * sd
Sub/ 3), differentially be: (sd for big standard variance
Min+ 2 * sd
Sub/ 3)～sd
MaxCombine the class definition of effect value to provide the effect value of scheme again, promptly differential little effective, in the effect in differential, differential big weak effect.
(2) block permeability grade, recovery percent of reserves is differential and comprehensive water cut is differential effect value
The block permeability grade, recovery percent of reserves is differential and the differential desirable property that has directly determined scheme of comprehensive water cut.If the block permeability grade, recovery percent of reserves is differential and comprehensive water cut in a certain index differential bigger, reflected directly that then the series of strata reorganization scheme of confirming as the criteria for classifying by the otherness of this index is more excellent; Otherwise, if the block permeability grade, recovery percent of reserves is differential and comprehensive water cut in a certain index differential little, the series of strata reorganization scheme of then dividing by this index error opposite sex is in a disadvantageous position.
Particularly, at first define each substratum permeability grade of block, recovery percent of reserves is differential and other scope of the differential level of comprehensive water cut.Differential with comprehensive water cut is example, set comprehensive moisture differential be differential little at 0～33.3% o'clock, differential 33.3%～66.6% o'clock be differential in, differential was differential big at 66.6%～100% o'clock.Secondly, be the difference of maximum comprehensive water cut and minimum comprehensive water cut through the moisture differential of calculation block individual layer, judge the differential rank of each substratum comprehensive water cut of block.In addition, also define the rank of layer coefficients amount in each assembled scheme, with series of strata quantity be defined as less, in, many 3 kinds of ranks, differentiate the rank of scenarios series of strata quantity in view of the above.
Finally, block permeability grade, recovery percent of reserves is differential and comprehensive water cut is differential effect value are confirmed according to the rank under substratum permeability, recovery percent of reserves and comprehensive water cut differential and the layer coefficients magnitude of series of strata reorganization scheme respectively not jointly.
(3) permeability grade between series of strata, recovery percent of reserves is differential and comprehensive water cut is differential effect value
Permeability grade between series of strata, the size that recovery percent of reserves is differential and comprehensive water cut is differential are the important indicators of reflection series of strata assembled scheme superiority-inferiority.Permeability grade between the different series of strata of each series of strata reorganization scheme, recovery percent of reserves is differential and comprehensive water cut is differential big more, and then the series of strata reorganization scheme is excellent more; Differential more little, then the desirable property of series of strata reorganization scheme is more little.Permeability grade between series of strata, that recovery percent of reserves is differential is slightly different with the differential effect value of the decision method of the differential effect value of comprehensive water cut and block index of correlation.Consider permeability grade between each series of strata, each substratum, the otherness that recovery percent of reserves is differential and comprehensive water cut is differential, adopt standard variance that the recovery percent of reserves of each scheme is carried out classification.Below to confirm that the differential effect value of recovery percent of reserves is an example:
Step a calculates the average recovery percent of reserves differential
in each series of strata
j＝1，…，m
Wherein, n representes the interior little number of layers of each series of strata of each series of strata reorganization scheme, and m representes the series of strata quantity of each series of strata reorganization scheme.
Step b calculates the average recovery percent of reserves differential
of each series of strata reorganization scheme
j＝1，…，m，
Wherein, n representes the series of strata quantity of each series of strata reorganization scheme, and m representes the quantity of series of strata reorganization scheme.
Step c calculates the differential standard variance sd of each series of strata reorganization scheme recovery percent of reserves
j:
Wherein, n representes the series of strata quantity of each series of strata reorganization scheme, and m representes the quantity of series of strata reorganization scheme.
Steps d, the differential effect value of definition recovery percent of reserves
According to maximum recovery percent of reserves standard variance sd in all series of strata reorganization schemes
MaxWith minimum recovery percent of reserves standard variance sd
MinCalculate the differential sd of recovery percent of reserves standard variance
Sub:
sd
Sub＝sd
Max-sd
Min
The rank of definition recovery percent of reserves standard variance be little, in, big 3 ranks, and given effect value, promptly differential little standard variance is sd
Min～(sd
Min+ sd
Sub/ 3) standard variance in, differential is (sd
Min+ sd
Sub/ 3)～(sd
Min+ 2 * sd
Sub/ 3), differential big standard variance is (sd
Min+ 2 * sd
Sub/ 3)～sd
MaxProvide the effect value of series of strata reorganization scheme in conjunction with the class definition of effect value, promptly differential little effect is for well, and during the effect in differential was, differential big effect was for poor.
(4) the effect value that the series of strata intrinsic permeability is differential, recovery percent of reserves is differential and comprehensive water cut is differential
The series of strata intrinsic permeability is differential, recovery percent of reserves is differential and comprehensive water cut differential also be to influence a good and bad key factor of series of strata reorganization scheme.The series of strata intrinsic permeability is differential, recovery percent of reserves is differential and comprehensive water cut is differential more little, explains that the series of strata combination is reasonable more; Otherwise, differential big more, explain that the rationality of scheme is relatively poor.Below be example to calculate the differential effect value of series of strata intrinsic permeability:
Step a calculates the mean permeability differential
in each series of strata
Wherein, n representes the interior little number of layers of each series of strata of each series of strata reorganization scheme, and m representes the series of strata quantity of each series of strata reorganization scheme;
Step b calculates the mean permeability standard variance sd of each series of strata of each series of strata reorganization scheme
J (series of strata):
Wherein, n representes the interior little number of layers of each series of strata of each series of strata reorganization scheme, the series of strata quantity of each series of strata reorganization scheme of m presentation layer;
Step c calculates the series of strata mean permeability standard variance mean value
of each series of strata reorganization scheme
j＝1，…，m，
Wherein, n representes the series of strata quantity of each series of strata reorganization scheme, and m representes the quantity of series of strata reorganization scheme.
Steps d, the differential effect value of definition series of strata intrinsic permeability
Obtain the maximal value
and the minimum value
of
in all schemes, and calculate its differential
The rank of definition series of strata intrinsic permeability differential standard variance, be divided into little, in, big 3 ranks, and respectively given effect value for well, in, poor.Promptly; The standard variance that differential little standard variance is
in differential for
differential big standard variance for
differential little effect value for well; During effect value in differential was, differential big effect value was for poor.
(5) well segment length and the effect value that makes up the number of plies
The well segment length of different series of strata also is the key factor that influences the scheme quality with the combination number of plies, and its effect value is equally according to the aforementioned calculation standard variance and define other mode of standard variance level and confirm.
The well section net thickness of each series of strata is approaching with the combination number of plies; The effect value that this effect factor is described is for well; The well section net thickness of each series of strata and the combination number of plies differ during big description effect value is, the well section net thickness of each series of strata differs greatly description effect value value for poor with the combination number of plies.
Step 206 is confirmed the effect value of series of strata reorganization scheme
At the effect value C that confirms each effect factor
pThe basis on, according to given its weight of the importance of effect factor λ
p, utilize weighted method to confirm situation S
1jEffect value u under each target
1j(wherein, the predetermined target recombinant of 1 expression is 1, j=1, and 2 ... M):
Wherein, m representes the quantity of series of strata assembled scheme, and l representes the sum of the effect factor.
It is a lot of to influence the factor that sequence reorganization scheme quality relates to; In actual application, must consider each factor and weight thereof comprehensively, can confirm each factor weight according to data or expertise; As far as possible with reference to most expertises, to improve the degree of accuracy of decision-making.
Step 207-208 forms effect sample matrix and measure of merit matrix, and the series of strata assembled scheme is carried out the quality ordering, to confirm optimal case
At definite scenarios effect value u
1jThe basis on, according to grey decision-making theory, obtain the effect sample matrix U under the k target
k:
Wherein, m is the quantity of series of strata reorganization scheme.
Theoretical according to the single goal SITUATION DECISION, be this target of technological recovery ratio to predetermined target recombinant, adopt floor effect to estimate r
Ij:
Wherein, min{} representes to get the minimum value operation.
Adopt floor effect to estimate and just hope effect sample value " more little good more ", owing to only consider this incident of series of strata combination, therefore, i=1 in the formula, above-mentioned formula can be reduced to:
Wherein, j=1,2 ... M.
Process is to effect sample matrix U
kData processing, obtain measure of merit matrix R
k:
Step 209 is confirmed optimal case
With single goal SITUATION DECISION criterion; If
then
is optimum situation, and then confirm optimum series of strata reorganization scheme
The embodiment of the invention is the basis with the grey decision-making theory; Under the prerequisite that takes into full account geology reservoir and exploitation situation; Introduce effect factor notion; And combine expertise and knowledge, and utilize single goal SITUATION DECISION model, can confirm fast that long well section water filling sand-flag oil reservoir gets into the optimal case that series of strata are recombinated behind the high water-cut stage.
Below be example with the huge port block, utilize the preferred series of strata reorganization scheme of single goal SITUATION DECISION method.This oil reservoir is the waterflooding stratified deposit, contains oil well segment length 450m, and 65 oil-containing substratums are arranged, and the individual layer net thickness is 0.59m～8.75m.Oil reservoir is since formal input exploitation in 1989, and production history reaches 20 years, and recovery percent of reserves is 24.29% at present, workable reserve recovery percent of reserves 79.13%, and comprehensive water cut 89.86% gets into " two high " stage.This oil reservoir interlayer heterogeneity is stronger, and interlayer permeability distribution scope is (3.92～464.44) * 10 more widely
-3μ m
2, permeability grade reaches 118.5, and the interlayer permeability capacity is differential to be 352.48; Add in the performance history oil reservoir and experienced repeatedly exploitation adjustment; Be a cover series of strata long well section exploitation at present, caused the development effectiveness of each layer to differ greatly, the layer that recovery percent of reserves is the highest reaches 47.66%; And minimumly have only 0.24%, recovery percent of reserves is differential to reach 195.53; Interlayer comprehensive water cut difference is also very big, and part layer is water breakthrough not yet, and the part high permeability formation has got into high moisture and ultra-high water cut stage.Table 1 is the geologic parameter and exploitation present situation table of the single layer of sand of part.
Table 1
| The geology level number | Permeability | Net thickness | Permeability capacity | Recovery percent of reserves | Comprehensive water cut | Geologic reserve |
| md | m | md.m | ％ | ％ | 10 4t | |
| 1 | 4.29 | 3.68 | 15.78 | 3.85 | 0.05 | 1969.22 |
| 2 | 7.25 | 1.50 | 10.90 | 5.11 | 0.05 | 836.43 |
| 3 | 4.97 | 6.28 | 31.20 | 3.97 | 0.09 | 3454.84 |
| 4 | 212.32 | 4.26 | 904.13 | 44.10 | 96.45 | 2562.67 |
| 5 | 5.64 | 2.51 | 14.17 | 4.61 | 0.20 | 1278.28 |
| 6 | 43.95 | 1.68 | 73.76 | 18.24 | 20.57 | 669.27 |
| 7 | 5.75 | 3.16 | 18.16 | 3.71 | 0.06 | 1679.44 |
| 8 | 4.86 | 2.04 | 9.94 | 2.52 | 1.35 | 1122.05 |
| 9 | 205.91 | 3.79 | 779.58 | 41.42 | 92.39 | 2022.10 |
| 10 | 54.42 | 2.06 | 112.03 | 30.78 | 67.82 | 1185.23 |
| 11 | 318.14 | 6.27 | 1994.34 | 44.67 | 96.77 | 3639.62 |
| 12 | 57.13 | 3.82 | 218.38 | 32.86 | 51.68 | 2201.61 |
| 13 | 50.28 | 4.60 | 231.25 | 20.59 | 0.07 | 2427.90 |
| 14 | 45.37 | 1.14 | 51.92 | 20.91 | 0.97 | 635.88 |
| 15 | 5.08 | 7.07 | 35.94 | 6.05 | 0.12 | 3986.90 |
| 16 | 200.37 | 3.30 | 660.83 | 45.08 | 96.87 | 1868.71 |
| 17 | 7.20 | 5.08 | 36.55 | 6.16 | 0.11 | 2803.80 |
| 18 | 44.23 | 2.26 | 99.87 | 30.67 | 53.83 | 1262.38 |
| 19 | 58.31 | 4.60 | 268.22 | 30.47 | 39.74 | 2532.83 |
| 20 | 283.48 | 3.94 | 1117.00 | 46.91 | 98.33 | 2383.65 |
| 21 | 4.43 | 2.87 | 12.69 | 4.02 | 0.23 | 1479.48 |
| 22 | 5.31 | 1.98 | 10.50 | 5.28 | 0.19 | 1080.92 |
| 23 | 153.22 | 4.14 | 633.76 | 42.29 | 93.61 | 2252.00 |
| 24 | 44.43 | 2.27 | 101.07 | 29.66 | 48.75 | 1213.66 |
| 25 | 0.00 | 0.00 | 0.00 | / | / | 0.00 |
| 26 | 294.84 | 3.94 | 1162.44 | 47.66 | 98.75 | 2325.30 |
| 27 | 6.04 | 4.54 | 27.41 | 4.61 | 0.21 | 2373.57 |
| 28 | 230.62 | 1.43 | 330.32 | 44.71 | 96.96 | 842.23 |
| 29 | 54.80 | 2.28 | 125.00 | 28.58 | 41.10 | 1266.60 |
| 30 | 4.97 | 2.61 | 12.99 | 6.02 | 0.01 | 1378.75 |
| 31 | 54.90 | 1.11 | 60.69 | 32.77 | 66.57 | 563.84 |
| 32 | 284.94 | 1.72 | 490.46 | 36.59 | 89.02 | 888.52 |
| 33 | 271.98 | 3.20 | 869.49 | 47.20 | 98.49 | 1811.42 |
| 34 | 299.90 | 2.03 | 609.18 | 47.03 | 98.45 | 1153.83 |
| 35 | 6.31 | 3.16 | 19.92 | 7.68 | 0.25 | 1725.55 |
| 36 | 167.02 | 2.88 | 481.45 | 36.71 | 79.81 | 1557.06 |
| 37 | 6.94 | 0.96 | 6.66 | 6.73 | 1.00 | 518.51 |
| 38 | 230.14 | 1.61 | 371.12 | 43.10 | 94.78 | 873.20 |
| 39 | 3.92 | 3.00 | 11.76 | 5.00 | 0.15 | 1577.30 |
| 40 | 56.49 | 1.78 | 100.29 | 34.27 | 64.94 | 952.16 |
| 41 | 45.39 | 3.04 | 138.19 | 29.32 | 33.29 | 1618.89 |
| 42 | 347.40 | 2.45 | 849.48 | 46.47 | 98.10 | 1431.88 |
| 43 | 6.62 | 4.01 | 26.55 | 5.55 | 0.63 | 2166.15 |
| 44 | 59.95 | 3.48 | 208.65 | 24.76 | 30.63 | 1683.38 |
| 45 | 49.91 | 2.36 | 117.95 | 33.60 | 61.96 | 1263.88 |
| 46 | 5.25 | 4.56 | 23.93 | 5.35 | 0.02 | 2318.52 |
| 47 | 6.73 | 4.62 | 31.08 | 5.42 | 0.03 | 2427.64 |
| 48 | 7.29 | 1.93 | 14.06 | 6.85 | 0.02 | 1040.83 |
| 49 | 46.14 | 3.57 | 164.73 | 24.00 | 2.95 | 1906.31 |
| 50 | 249.80 | 8.75 | 2184.69 | 44.58 | 96.78 | 4512.32 |
| 51 | 46.90 | 3.23 | 151.64 | 34.40 | 66.62 | 1651.89 |
Utilize the gray decision optimum seeking method to confirm that the step of optimum series of strata assembled scheme is following:
Geologic condition and exploitation present situation according to block with the basis that is distributed as of the permeability between each single layer of sand, recovery percent of reserves, comprehensive water cut otherness and interlayer, have designed 15 kinds of different series of strata reorganization schemes in advance.Wherein, divide the assembled scheme of 2 cover series of strata exploitations to have 12, divide the assembled scheme of 3 cover series of strata exploitations to have 3.Table 2 shows the Back ground Information of different series of strata assembled schemes, and concrete scheme content is seen table 2.
Table 2
According to single goal SITUATION DECISION method; It is differential to take into full account block permeability, recovery percent of reserves and comprehensive water cut; Series of strata intrinsic permeability, recovery percent of reserves and comprehensive water cut are differential; Permeability, recovery percent of reserves and comprehensive water cut are differential between series of strata, and the series of strata reserves account for 12 kinds of effect factors such as total reserves number percent, well segment length and the combination number of plies, and the quality of above-mentioned 15 kinds of series of strata assembled schemes is sorted.
Knowledge and experience with the expert is the basis, and the weight that the effect factor such as has provided in block, the series of strata and the differential and development index of rerum natura is differential between series of strata is seen table 3.And the method for utilizing the invention described above embodiment to provide has been calculated the effect value of each effect factor in the scenarios, and wherein the effect value of the part effect factor is seen table 4.
Table 3
| The effect factor names | Weight |
| The block recovery percent of reserves is differential | 0.06 |
| Block is moisture differential | 0.06 |
| The block permeability grade | 0.06 |
| Recovery percent of reserves is differential in the series of strata | 0.08 |
| Moisture differential in the series of strata | 0.08 |
| The series of strata intrinsic permeability is differential | 0.1 |
| The well segment length | 0.02 |
| The combination number of plies | 0.02 |
| Average recovery percent of reserves between series of strata | 0.3 |
| On average moisture between series of strata | 0.3 |
| Mean permeability between series of strata | 0.5 |
| The series of strata geologic reserve accounts for total geologic reserve ratio | 0.5 |
Table 4
| Incident | Target | Countermeasure | The effect factor | The effect value |
| Series of strata optimal combination | The technology recovery ratio | Scheme 1 | The block recovery percent of reserves is differential | 1 |
| Series of strata optimal combination | The technology recovery ratio | Scheme 2 | Block is moisture differential | 2 |
| Series of strata optimal combination | The technology recovery ratio | Scheme 3 | The block permeability grade | 1 |
| Series of strata optimal combination | The technology recovery ratio | Scheme 4 | Recovery percent of reserves is differential in the series of strata | 3 |
| Series of strata optimal combination | The technology recovery ratio | Scheme 5 | Moisture differential in the series of strata | 3 |
| Series of strata optimal combination | The technology recovery ratio | Scheme 6 | The series of strata intrinsic permeability is differential | 2 |
| Series of strata optimal combination | The technology recovery ratio | Scheme 7 | The well segment length | 3 |
| Series of strata optimal combination | The technology recovery ratio | Scheme 8 | The combination number of plies | 3 |
| Series of strata optimal combination | The technology recovery ratio | Scheme 9 | Average recovery percent of reserves between series of strata | 1 |
| Series of strata optimal combination | The technology recovery ratio | Scheme 10 | On average moisture between series of strata | 1 |
| Series of strata optimal combination | The technology recovery ratio | Scheme 11 | Mean permeability between series of strata | 2 |
| Series of strata optimal combination | The technology recovery ratio | Scheme 12 | The series of strata geologic reserve accounts for total geologic reserve ratio | 2 |
| Series of strata optimal combination | The technology recovery ratio | Scheme 13 | Moisture differential in the series of strata | 3 |
| Series of strata optimal combination | The technology recovery ratio | Scheme 14 | The series of strata geologic reserve accounts for total geologic reserve ratio | 2 |
| Series of strata optimal combination | The technology recovery ratio | Scheme 15 | Average recovery percent of reserves between series of strata | 3 |
When predetermined target recombinant is merely this target of technological recovery ratio, the effect sample matrix U that obtains each series of strata reorganization scheme according to the effect value and the weight thereof of each effect factor:
U＝[1.84?1.47?1.66?1.301.75?1.67?1.61?1.79?1.65?1.48?1.38?1.57?1.71?1.41?2.14]
Need to prove that because the emphasis of different schemes sequence combination is different, each effect factor role is different, so the effect value of the effect factor and weight understand that some is different, thereby also can cause the difference of the effect value of scenarios.
The utilization floor effect is estimated the measure of merit matrix R that obtains the series of strata assembled scheme:
R＝[0.70?0.88?0.78?1.00?0.74?0.78?0.80?0.72?0.79?0.88?0.94?0.82?0.76?0.92?0.60]
According to single goal ashing look decision theory, the corresponding scheme of maximal value is an optimal case in the measure of merit matrix.Therefore; Utilization gray decision model, in above-mentioned 15 kinds of series of strata assembled schemes, scheme 4 is an optimal case; Secondly be scheme 11 and scheme 14; These 3 schemes are the development plan of three cover series of strata reorganization, explains under the 3 cover series of strata array modes that with regard to this target of technological recovery ratio, development effectiveness obviously is better than the mode that two cover series of strata make up.
From the measure of merit value of two cover series of strata assembled schemes, after the series of strata reorganization, the interlayer rerum natura is even more in the series of strata, and permeability, recovery percent of reserves and comprehensive water cut difference are big more between series of strata, and then full oil-field development effect is good more.The shared ratio of geologic reserve also has certain influence to recovery ratio between each series of strata, and the difference of geologic reserve is more little between series of strata, and development effectiveness is better relatively.For the stronger oil reservoir of this type of nonuniformity, if only divide series of strata by the geology interlayer, owing to do not eliminate the influence of interlayer heterogeneity at all, the recovery ratio under its ultimate recovery factor and the cover series of strata exploitation is more or less the same, and effect is undesirable.
Reliability for the series of strata reorganization scheme gray decision optimum seeking method of verifying the embodiment of the invention; Below adopt method for numerical simulation of the prior art that the development effectiveness of above-mentioned 15 kinds of series of strata reorganization schemes is predicted; And scenarios is carried out quality sort; Then with the embodiment of the invention in the result of series of strata reorganization scheme gray decision optimum seeking method contrast, concrete comparing result is seen table 5, table 5 shows the ordering comparing result of the series of strata assembled scheme of gray decision method and Method for Numerical.
Table 5
Can know by table 5; The series of strata reorganization scheme ordering that two kinds of methods obtain is a basically identical; The assembled scheme development effectiveness of dividing three cover series of strata is apparently higher than the assembled scheme that divides two cover series of strata; And the interlayer rerum natura is even more in the series of strata, and mean permeability, recovery percent of reserves and comprehensive water cut difference are big more between series of strata, and the series of strata assembled scheme is excellent more.But; From two kinds of times that method spent; Utilize method for numerical simulation to carry out the prediction of series of strata reorganization scheme, need set up geologic model and digital-to-analogue model earlier, then match oil reservoir production history; Predict the development effectiveness of 15 kinds of series of strata assembled schemes at last, whole process need spend 3-4 month at least; And adopt the gray decision optimum seeking method, on the basis of carrying out single layer of sand development effectiveness evaluation, carrying out the series of strata reorganization scheme preferably then only needs about 10-15 days.
Result of calculation through with method for numerical simulation contrasts; The method that the embodiment of the invention provides is all better aspect reliability and work efficiency; The method that the quick evaluation stratified waterflooding sandstone oil reservoir that provides through the embodiment of the invention gets into development late stage series of strata reorganization optimal case; Can instruct the later development adjustment of oil reservoir effectively, practicality is stronger.
Embodiment two
The embodiment of the invention also provides the selecting arrangement of a kind of highly aqueous field series of strata reorganization scheme, and this device is preferably used for realizing the method in the foregoing description one.Fig. 5 is the structured flowchart of this device, and is as shown in Figure 5, and this device comprises;
The series of strata reorganization scheme is confirmed unit 1, is used for the distribution according to the permeability between each single layer of sand, recovery percent of reserves, comprehensive water cut otherness and interlayer, confirms a plurality of series of strata reorganization schemes;
Effect factorial effect value obtains unit 2; Be used for according to oil reservoir characteristic and development effectiveness; Obtain the effect value of each effect factor at each series of strata reorganization scheme; Wherein, the effect factor comprises: the block recovery percent of reserves is differential, the block comprehensive water cut is differential, comprehensive water cut is differential in differential, the series of strata of recovery percent of reserves in the block permeability grade, series of strata, the series of strata intrinsic permeability is differential, between well segment length, the combination number of plies, series of strata between differential, the series of strata of recovery percent of reserves between differential, the series of strata of comprehensive water cut permeability grade and series of strata geologic reserve account for total geologic reserve ratio;
Effect factor weight is confirmed unit 3, is used for the importance according to each effect factor, confirms the weight of each effect factor;
The effect sample information obtains unit 4; Be used for the effect value of each effect factor and the weight of each effect factor are carried out operation for weighting; To be met the effect sample information of each series of strata reorganization scheme of being scheduled to target recombinant, wherein, the effect sample information comprises the effect value of each series of strata reorganization scheme;
Measure of merit information acquisition unit 5 is used for according to the effect sample information, adopts floor effect to estimate operation and obtains measure of merit information;
Series of strata reorganization scheme selected cell 6 is used for according to measure of merit information, selects to satisfy the scheme of predetermined target recombinant from a plurality of series of strata reorganization schemes.
Can find out by above description; Obtain the effect sample information that the unit obtains predetermined each series of strata reorganization scheme according to the effect value and the weight of the effect factor through the effect sample information; And then measure of merit information acquisition unit obtains measure of merit information according to the effect sample information; Series of strata reorganization scheme selected cell selects to satisfy the scheme of predetermined target recombinant from predetermined series of strata reorganization scheme according to measure of merit information then; Than prior art, the embodiment of the invention can be selected the series of strata reorganization scheme fast and effectively.
Particularly, as shown in Figure 6, effect factorial effect value obtains unit 2 and comprises:
Effect factor mean value acquisition module 21 is used for obtaining the mean value of each effect factor at each series of strata reorganization scheme;
Effect factor standard variance acquisition module 22 is used for obtaining the standard variance of said each effect factor in each series of strata reorganization scheme according to said each effect factor at the mean value of each series of strata reorganization scheme;
Effect factorial effect value is confirmed unit 23, is used for confirming in the differential scope of the standard variance of each series of strata reorganization scheme according to said each effect factor the effect value of said each effect factor.
Wherein, as shown in Figure 7, effect factor mean value acquisition module 21 comprises:
Effect factor mean value obtains submodule 211 in the series of strata, is used for obtaining the mean value of each the effect factor in each each series of strata of series of strata reorganization scheme;
Scheme effect factor mean value obtains submodule 212, is used for the mean value according to the series of strata quantity and each the effect factor in each series of strata of each series of strata reorganization scheme, obtains the mean value of each the effect factor in each series of strata reorganization scheme.
Above-mentioned fruit sample information obtains the unit and obtains described effect sample information u through following formula
j:
Wherein, j=1,2 ... M, m represent the quantity of series of strata assembled scheme, and l representes the sum of the effect factor, λ
pBe the weight of each effect factor, C
pEffect value for each effect factor.
Above-mentioned measure of merit information acquisition unit obtains described measure of merit information r through following formula
j:
Particularly, the implementation of above-mentioned each module can repeat no more with reference to the associated description in the foregoing description one here.
In embodiments of the present invention, considered the reservoir characteristics and the development effectiveness of individual reservoir, introduced the effect factor, utilized the single goal SITUATION DECISION theoretical, the structure resultant effect is estimated matrix, thereby can confirm the optimum series of strata reorganization scheme of oil reservoir apace.
In sum; The embodiment of the invention provides a kind of and has been applicable to that vertical heterogeneity property is serious, the water drive sand-flag oil reservoir of long well section exploitation gets into the scheme of carrying out series of strata reorganization scheme rapid Optimum behind the high water-cut stage; Can effectively estimate the series of strata reorganization optimal case after stratified waterflooding exploitation sandstone oil reservoir gets into high water-cut stage apace through the gray decision optimum seeking method; This helps to solve this type of highly aqueous Tibetan interlayer contradiction aggravation, the injection Shuitu is advanced phenomenons such as phenomenon is obvious, rate of water cut increase is too fast, thereby reached the purpose that improves the oil field overall yield, improves development effectiveness.Because the embodiment of the invention has considered that permeability grade, the recovery percent of reserves in block, the series of strata, between series of strata is differential, comprehensive water cut is differential and well segment length, the combination number of plies and series of strata between multiple factor such as geologic reserve ratio to the influence of effect of reservoir development; Superior and inferior evaluating to scheme is more reasonable; And, can increase work efficiency preferably through quicksort to multiple series of strata reorganization scheme.
One of ordinary skill in the art will appreciate that all or part of step that realizes in the foregoing description method can instruct relevant hardware to accomplish through program; This program can be stored in the computer read/write memory medium, such as ROM/RAM, magnetic disc, CD etc.
Above-described specific embodiment; The object of the invention, technical scheme and beneficial effect have been carried out further explain, and institute it should be understood that the above is merely specific embodiment of the present invention; And be not used in qualification protection scope of the present invention; All within spirit of the present invention and principle, any modification of being made, be equal to replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (10)
1. the system of selection of a highly aqueous field series of strata reorganization scheme is characterized in that described method comprises:
According to the distribution of the permeability between each single layer of sand, recovery percent of reserves, comprehensive water cut otherness and interlayer, confirm a plurality of series of strata reorganization schemes;
According to oil reservoir characteristic and development effectiveness; Obtain the effect value of each effect factor at each series of strata reorganization scheme; Wherein, the described effect factor comprises: the block permeability grade, the block recovery percent of reserves is differential, the block comprehensive water cut is differential, the series of strata intrinsic permeability is differential, in the series of strata in differential, the series of strata of recovery percent of reserves between differential, the series of strata of comprehensive water cut between permeability grade, series of strata between differential, the series of strata of recovery percent of reserves differential, the well segment length of comprehensive water cut, the combination number of plies and series of strata geologic reserve account for total geologic reserve ratio;
According to the importance of said each effect factor, confirm the weight of each effect factor;
The effect value of said each effect factor and the weight of said each effect factor are carried out operation for weighting; To be met the effect sample information of each series of strata reorganization scheme of being scheduled to target recombinant; Wherein, described effect sample information comprises the effect value of each series of strata reorganization scheme;
According to said effect sample information, adopt floor effect to estimate operation and obtain measure of merit information;
According to described measure of merit information, select to satisfy the scheme of said predetermined target recombinant from described a plurality of series of strata reorganization schemes.
2. method according to claim 1 is characterized in that, obtains each effect factor according to oil reservoir characteristic and development effectiveness and comprises in the effect value of each series of strata reorganization scheme:
Obtain the mean value of each effect factor in each series of strata reorganization scheme;
Obtain the standard variance of said each effect factor in each series of strata reorganization scheme according to the mean value of said each effect factor in each series of strata reorganization scheme;
Confirm the effect value of said each effect factor according to the differential scope of the standard variance of said each effect factor in each series of strata reorganization scheme.
3. method according to claim 2 is characterized in that, the said mean value of each effect factor in each series of strata reorganization scheme that obtains comprises:
Obtain the mean value of each the effect factor in each series of strata in each series of strata reorganization scheme;
According to the mean value of each the effect factor in the series of strata quantity in each series of strata reorganization scheme and said each series of strata, obtain the mean value of each the effect factor in each series of strata reorganization scheme.
4. method according to claim 1 is characterized in that, obtains described effect sample information u through following formula
j:
Wherein, j=1,2 ... m, m represent the quantity of series of strata assembled scheme, and l representes the sum of the effect factor, λ
pBe the weight of each effect factor, C
pBe the effect value of each effect factor, ∑ is represented sum operation.
5. method according to claim 4 is characterized in that, obtains measure of merit information through following formula and comprises:
Wherein, min{} representes to get the minimum value operation.
6. the selecting arrangement of a highly aqueous field series of strata reorganization scheme is characterized in that described device comprises:
The series of strata reorganization scheme is confirmed the unit, is used for the distribution according to the permeability between each single layer of sand, recovery percent of reserves, comprehensive water cut otherness and interlayer, confirms a plurality of series of strata reorganization schemes;
Effect factorial effect value obtains the unit; Be used for according to oil reservoir characteristic and development effectiveness; Obtain the effect value of each effect factor at each series of strata reorganization scheme; Wherein, the described effect factor comprises: the block permeability grade, the block recovery percent of reserves is differential, the block comprehensive water cut is differential, the series of strata intrinsic permeability is differential, in the series of strata in differential, the series of strata of recovery percent of reserves between differential, the series of strata of comprehensive water cut between permeability grade, series of strata between differential, the series of strata of recovery percent of reserves differential, the well segment length of comprehensive water cut, the combination number of plies and series of strata geologic reserve account for total geologic reserve ratio;
Effect factor weight is confirmed the unit, is used for the importance according to said each effect factor, confirms the weight of each effect factor;
The effect sample information obtains the unit; Be used for the effect value of said each effect factor and the weight of said each effect factor are carried out operation for weighting; To be met the effect sample information of each series of strata reorganization scheme of being scheduled to target recombinant; Wherein, described effect sample information comprises the effect value of each series of strata reorganization scheme;
Measure of merit information acquisition unit is used for according to said effect sample information, adopts floor effect to estimate operation and obtains measure of merit information;
Series of strata reorganization scheme selected cell is used for according to described measure of merit information, selects to satisfy the scheme of said predetermined target recombinant from described a plurality of series of strata reorganization schemes.
7. device according to claim 6 is characterized in that, described effect factorial effect value obtains the unit and comprises:
Effect factor mean value acquisition module is used for obtaining the mean value of each effect factor at each series of strata reorganization scheme;
Effect factor standard variance acquisition module is used for obtaining the standard variance of said each effect factor in each series of strata reorganization scheme according to said each effect factor at the mean value of each series of strata reorganization scheme;
Effect factorial effect value is confirmed the unit, is used for confirming in the differential scope of the standard variance of each series of strata reorganization scheme according to said each effect factor the effect value of said each effect factor.
8. device according to claim 7 is characterized in that, described effect factor mean value acquisition module comprises:
Effect factor mean value obtains submodule in the series of strata, is used for obtaining the mean value of each the effect factor in each each series of strata of series of strata reorganization scheme;
Scheme effect factor mean value obtains submodule, is used for the mean value according to the series of strata quantity and each the effect factor in said each series of strata of each series of strata reorganization scheme, obtains the mean value of each the effect factor in each series of strata reorganization scheme.
9. device according to claim 6 is characterized in that, described effect sample information obtains the unit and obtains described effect sample information u through following formula
j:
Wherein, j=1,2 ... m, m represent the quantity of series of strata assembled scheme, and l representes the sum of the effect factor, λ
pBe the weight of each effect factor, C
pBe the effect value of each effect factor, ∑ is represented sum operation.
10. device according to claim 9 is characterized in that, described measure of merit information acquisition unit obtains described measure of merit information r through following formula
j:
Wherein, min{} representes to get the minimum value operation.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103758487A (en) * | 2013-12-31 | 2014-04-30 | 中国石油大学(华东) | Method for developing ultrahigh water-cut stage oil field |
| CN104100243A (en) * | 2013-04-08 | 2014-10-15 | 中国石油化工股份有限公司 | Three-stage subdivision method for retarding interlayer interference of fault-block oil reservoir with ultrahigh water-cut stage and multiple oil layers |
| CN106801596A (en) * | 2015-11-26 | 2017-06-06 | 中国石油化工股份有限公司 | The new method that marine water injection well water filling interval is divided |
| CN107025507A (en) * | 2016-01-29 | 2017-08-08 | 中国石油天然气股份有限公司 | Terrestrial facies stratiform sandstone oil reservoir Life cycle develops stratagem synergistic combination method |
| CN107725040A (en) * | 2016-08-11 | 2018-02-23 | 中国石油天然气股份有限公司 | Series of strata recombination method and device |
| CN110288258A (en) * | 2019-07-02 | 2019-09-27 | 中国石油化工股份有限公司 | A kind of high water-cut reservoir Tapping Residual Oil method |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1944957A (en) * | 2006-10-31 | 2007-04-11 | 大庆油田有限责任公司 | Electric measuring and identifying method for sandstone oil field oil layer low efficieny and invalid circulation layer during high water content developing period |
-
2010
- 2010-08-06 CN CN2010102465221A patent/CN102346806B/en active Active
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1944957A (en) * | 2006-10-31 | 2007-04-11 | 大庆油田有限责任公司 | Electric measuring and identifying method for sandstone oil field oil layer low efficieny and invalid circulation layer during high water content developing period |
Non-Patent Citations (2)
| Title |
|---|
| 刘亚平: "胜坨油田坨21断块沙二段8砂层组细分韵律层井网重组模式研究", 《石油天然气学报(江汉石油学院学报)》 * |
| 刘维霞: "多油层断块油藏特高含水期层系重组技术研究", 《内蒙古石油化工》 * |
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| CN104100243A (en) * | 2013-04-08 | 2014-10-15 | 中国石油化工股份有限公司 | Three-stage subdivision method for retarding interlayer interference of fault-block oil reservoir with ultrahigh water-cut stage and multiple oil layers |
| CN103758487A (en) * | 2013-12-31 | 2014-04-30 | 中国石油大学(华东) | Method for developing ultrahigh water-cut stage oil field |
| CN106801596A (en) * | 2015-11-26 | 2017-06-06 | 中国石油化工股份有限公司 | The new method that marine water injection well water filling interval is divided |
| CN107025507A (en) * | 2016-01-29 | 2017-08-08 | 中国石油天然气股份有限公司 | Terrestrial facies stratiform sandstone oil reservoir Life cycle develops stratagem synergistic combination method |
| CN107025507B (en) * | 2016-01-29 | 2021-06-01 | 中国石油天然气股份有限公司 | Full life cycle development planning cooperative combination method for continental facies layered sandstone oil reservoir |
| CN107725040A (en) * | 2016-08-11 | 2018-02-23 | 中国石油天然气股份有限公司 | Series of strata recombination method and device |
| CN110288258A (en) * | 2019-07-02 | 2019-09-27 | 中国石油化工股份有限公司 | A kind of high water-cut reservoir Tapping Residual Oil method |
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