CN107676064A - A kind of water cut in water flooding reservoir Forecasting Methodology and its prediction meanss - Google Patents
A kind of water cut in water flooding reservoir Forecasting Methodology and its prediction meanss Download PDFInfo
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- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 98
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- 238000011084 recovery Methods 0.000 claims abstract description 112
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- 238000005065 mining Methods 0.000 claims abstract description 9
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- 238000004519 manufacturing process Methods 0.000 claims description 6
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- 239000003921 oil Substances 0.000 description 84
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- 238000006073 displacement reaction Methods 0.000 description 2
- 239000012530 fluid Substances 0.000 description 2
- 230000008595 infiltration Effects 0.000 description 2
- 238000001764 infiltration Methods 0.000 description 2
- 239000003129 oil well Substances 0.000 description 2
- 230000001568 sexual effect Effects 0.000 description 2
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Abstract
The invention provides a kind of water cut in water flooding reservoir Forecasting Methodology and its prediction meanss, this method to comprise the following steps：Obtain the recovery percent of reserves R data and moisture content f of target reservoir sample pointwData；To withFor ordinate, recovery percent of reserves is the linear regression fit of abscissa, obtains the linear relationship curve map of the two；And it is eco-technical comparison f to obtain moisture content according to linear relationship curve mapwLWhen oil reservoir ultimate recovery ER；With reference to linear relationship curve map and following moisture content expression formula, recovery percent of reserves history initial value R is obtained0With moisture content history initial value fw0；The predicted value of the moisture content, i.e. water cut in water flooding reservoir under the difference recovery percent of reserves of oil field is calculated according to moisture content expression formula.This method is based on oil field actual development dynamic data, calculates specific oil field history moisture content and the formula of recovery ratio, so as to predict that moisture content is with the change of recovery percent of reserves under the current mining type in oil field.This method more meets oil reservoir reality, and the formula predictions moisture content precision of foundation is higher.
Description
Technical field
The invention belongs to oil field development technical field, and in particular to a kind of water cut in water flooding reservoir Forecasting Methodology and its prediction
Device.
Background technology
By the research to WATER DISPLACEMENT CURVES and the statistical confirmation of oil field actual production data, any one water-drive pool
Certain relation between moisture content and recovery percent of reserves all be present, its physical relationship is under oil field development many factors collective effect
The concentrated expression of profit flowing law, using the relational expression of moisture content and recovery percent of reserves moisture content can be determined with recovery percent of reserves
Changing condition.The relation depends not only on the anisotropism of oil reservoir, the property of fluid, Living space and fluid distrbution etc.
Oil deposit parameter is relevant, also relevant with the human factor such as well pattern, mining type and working system.Each oil in actual oil field
The parameter of Tibetan varies, and well pattern and mining type also respectively have feature, therefore, the moisture content in different oil fields and extraction
Degree of Accord Relation is also not quite similar.For the change of preferably clear and definite Cut of Oilfield, it is thus necessary to determine that rational moisture content and extraction
Degree of Accord Relation formula.
Data of the virgin charter academician in 1981 based on B-mode WATER DISPLACEMENT CURVES and domestic and international 25 middle and high infiltration oil reservoirs, establish extraction
Degree R and final harvesting ERWith moisture content fwRelational expression：
In formula：fwFor oil reservoir moisture percentage, f；R is oil reservoir produced degree, f；ERFor oil reservoir ultimate recovery, f.Utilize above formula
It can obtain moisture content and the changing rule of recovery percent of reserves under the difference ultimate recovery of middle and high infiltration oil field.Using recovery percent of reserves R as horizontal seat
Mark, moisture content are that ordinate takes different ERCan makes a series of f on coordinate systemw- R relation curves race.Tong's chart
Moisture content and recovery percent of reserves Core analysis, be based in before 30 years-the obtained statistical law of the exploitation data in Thief zone oil field,
It is used widely in China.But found in recent years by the application in actual oil field, Tong Shi moisture content and recovery percent of reserves prediction error
It is larger, or even can not apply, its reason is：The oil field of any one actual development, from oil recovery in initial oilfield exploitation to after for many years
Mining type is constantly changing, so recovery percent of reserves is to change with moisture content, it is difficult fitting one with Tong's chart formula
The creation data of individual oil field for many years.
The problem of existing for virgin charter water drive plate, Yin great Qing proposed a kind of amendment plate in 2014, and it is expressed
Formula is：
In formula：fwFor oil reservoir moisture percentage, f；R is oil reservoir produced degree, f；ERFor oil reservoir ultimate recovery, f；A is constant.
Coefficient a is obtained using oil field actual production data regression based on above-mentioned formula, you can draw moisture content under different ultimate recoveries
With recovery percent of reserves relation curve plate.But the formula does not have any theory deduction, simply contemplates, while constant a does not appoint
What physical significance.
Current existing moisture content and recovery percent of reserves relation curve plate, are primarily present following two problems, first, 30 years
The preceding Tong's chart obtained based on statistical law can not be preferably applied in current water-drive pool, and the moisture content of prediction is often
Than being actually subjected to differ greatly, there is certain limitation；Second, the plate formula of amendment is simply by Tong's chart relational expression
The grade of coefficient 7.5 is artificially revised as other constants, lacks scientific.
The content of the invention
To solve the above problems, it is an object of the invention to provide a kind of water cut in water flooding reservoir Forecasting Methodology.This method
Change that can be with Predicting Water Cut in Water Flooded Oil Field with recovery percent of reserves, the recovery ratio and recoverable reserves in oil field can be also predicted, favorably
In instructing the understanding to oil field effect, so as to improve the economic benefit of water controlled field exploitation.
It is a further object of the present invention to provide a kind of water cut in water flooding reservoir prediction meanss.
To reach above-mentioned purpose, the invention provides a kind of water cut in water flooding reservoir Forecasting Methodology, this method includes following
Step：
Obtain the recovery percent of reserves R data and moisture content f of target reservoir sample pointwData；
To withFor ordinate, recovery percent of reserves carries out linear regression fit for the volume of data point of abscissa, obtained
ArriveWith the linear relationship curve map of recovery percent of reserves；And moisture content is obtained as economy according to the linear relationship curve map
Water cut limit fwLWhen oil reservoir ultimate recovery ER；
With reference to the linear relationship curve map and following moisture content expression formula, recovery percent of reserves history initial value R is obtained0With containing
Water rate history initial value fw0；The moisture content expression formula is：
Wherein, R is recovery percent of reserves, f；fwFor oil reservoir moisture percentage, f；fwLFor eco-technical comparison, f；R0For recovery percent of reserves
History initial value, f；fw0For moisture content history initial value, f；ERFor oil reservoir ultimate recovery, f；
Moisture content under the difference recovery percent of reserves of oil field, i.e. water cut in water flooding reservoir are calculated according to the moisture content expression formula
Predicted value.
Moisture content is an important development index in oilfield development process, and the change of moisture content reflects oil reservoir profit
Flowing law, it can be that corresponding regulating measures are formulated in oil field development according to water-cut variation, instruct oil field more efficient reasonably
Exploitation.During water filling or natural edge-bottom water develop oil fields, water body constantly promotes crude oil toward shaft bottom, oil-containing saturation in oil reservoir
Degree is reduced with the increase of water saturation, and after water saturation reaches certain value, water saturation is more than at oil well
Irreducible water saturation, oil well water breakthrough, moisture content start to increase, and moisture content and recovery percent of reserves are into certain relational expression.Using aqueous
Rate can not only predict the development behavior parameter such as water cut in water flooding reservoir, but also predictable water drive oil with recovery percent of reserves relational expression
The recoverable reserves and recovery ratio of Tibetan, at home and abroad it is widely used to the water flooding effectiveness evaluation of water controlled field.Therefore, this hair
Bright scheme provides a kind of aqueous new method of CALCULATING OILFIELD, and this method is based on oil field actual development dynamic data, and calculating is provided
The formula of body oil field history moisture content and recovery ratio, so as to predict that moisture content is with the change of recovery percent of reserves under the current mining type in oil field
Change.This method more meets oil reservoir reality, and the formula predictions moisture content precision of foundation is higher.
In above-mentioned water cut in water flooding reservoir Forecasting Methodology, eco-technical comparison is preset value, can choose this area
Conventional preset value.
In above-mentioned water cut in water flooding reservoir Forecasting Methodology, it is preferable that obtain the extraction of the sample point of the target reservoir
Degree R data and moisture content fwThe detailed process of data includes：
The mining type and oil field geologic feature of goal in research waterflooding development oil reservoir, collect the history life in oil reservoir development
Data are produced, the creation data includes crude output data and moisture content fwData；
The crude output data are transformed to recovery percent of reserves R data.
In above-mentioned water cut in water flooding reservoir Forecasting Methodology, it is preferable that this method is by the linear relationship curve
Figure uses graphing method, and acquisition moisture content is eco-technical comparison fwLWhen oil reservoir ultimate recovery ER。
In above-mentioned water cut in water flooding reservoir Forecasting Methodology, it is preferable that the detailed process of the graphing method includes：
In the linear relationship curve map, using ordinate value asAnd a horizontal line is done parallel to abscissa,
Extend the straight line that actual moisture content obtains with recovery percent of reserves fitting recurrence simultaneously to meet at a bit, abscissa corresponding to the intersection point is
The eco-technical comparison f in oil fieldwLUnder oil reservoir ultimate recovery ER。
In above-mentioned water cut in water flooding reservoir Forecasting Methodology, it is preferable that the linear relationship curve map with reference to described in and
Following moisture content expression formula, obtain recovery percent of reserves history initial value R0With moisture content history initial value fw0Detailed process include：
By corresponding to the slope term of the water rate expression formula and intercept item with the slope value of the linear relationship curve map and
Values of intercept establishes equation, and recovery percent of reserves history initial value R is drawn by solving equation0With moisture content history initial value fw0。
Present invention also offers a kind of water cut in water flooding reservoir prediction meanss, the device includes：
First module, first module are used for the recovery percent of reserves R data and moisture content for obtaining target reservoir sample point
fwData；
Second module, second module be used forIt is a series of for abscissa for ordinate, recovery percent of reserves
Data point carries out linear regression fit, obtainsWith the linear relationship curve map of recovery percent of reserves；And according to the linear pass
It is that to obtain moisture content be eco-technical comparison f to curve mapwLWhen oil reservoir ultimate recovery ER；
3rd module, the 3rd module are used for reference to the linear relationship curve map and following moisture content expression formula,
Obtain recovery percent of reserves history initial value R0With moisture content history initial value fw0；The moisture content expression formula is：
Wherein, R is recovery percent of reserves, f；fwFor oil reservoir moisture percentage, f；fwLFor eco-technical comparison, f；R0For recovery percent of reserves
History initial value, f；fw0For moisture content history initial value, f；ERFor oil reservoir ultimate recovery, f；
4th module, the 4th module are used to be calculated under the difference recovery percent of reserves of oil field according to the moisture content expression formula
Moisture content, i.e. water cut in water flooding reservoir predicted value.
In above-mentioned water cut in water flooding reservoir prediction meanss, it is preferable that in first module, obtain the target oil
Hide the recovery percent of reserves R data and moisture content f of sample pointwThe detailed process of data includes：
The mining type and oil field geologic feature of goal in research waterflooding development oil reservoir, collect the history life in oil reservoir development
Data are produced, the creation data includes crude output data and moisture content fwData；
The crude output data are transformed to recovery percent of reserves R data.
In above-mentioned water cut in water flooding reservoir prediction meanss, it is preferable that be by the line in second module
Sexual intercourse curve map uses graphing method, and acquisition moisture content is eco-technical comparison fwLWhen oil reservoir ultimate recovery ER。
In above-mentioned water cut in water flooding reservoir prediction meanss, it is preferable that the detailed process of the graphing method includes：
In the linear relationship curve map, using ordinate value asAnd a horizontal line is done parallel to abscissa,
Extend the straight line that actual moisture content obtains with recovery percent of reserves fitting recurrence simultaneously to meet at a bit, abscissa corresponding to the intersection point is
The eco-technical comparison f in oil fieldwLUnder oil reservoir ultimate recovery ER。
In above-mentioned water cut in water flooding reservoir prediction meanss, it is preferable that in the 3rd module, the line with reference to described in
Sexual intercourse curve map and following moisture content expression formula, obtain recovery percent of reserves history initial value R0With moisture content history initial value fw0Tool
Body process includes：
By corresponding to the slope term of the water rate expression formula and intercept item with the slope value of the linear relationship curve map and
Values of intercept establishes equation, and recovery percent of reserves history initial value R is drawn by solving equation0With moisture content history initial value fw0。
Scheme provided by the invention is can to reflect that oil field subterranean oil water flowing is advised with recovery percent of reserves relation based on moisture content
It is theoretical to restrain this, using oil field actual history creation data, obtains the moisture content calculation relational expression for meeting actual oil field, not only exists
In theory can the more accurate actual oilfield water flooding characteristic rule of interpretive analysis, and can more accurately predict that oil field development refers to
Mark.
Brief description of the drawings
Fig. 1 is that embodiment 1 is returned using real data fittingWith the linear relationship curve map of recovery percent of reserves；
Fig. 2 is the moisture content and recovery percent of reserves relation curve and oil field real data comparison diagram that embodiment 1 obtains；
Fig. 3 is traditional Tong Shi WATER FLOODING CHARACTERISTIC CURVEs plate and actual oil field data comparison diagram.
Embodiment
In order to which technical characteristic, purpose and the beneficial effect of the present invention is more clearly understood, now to the skill of the present invention
Art scheme carry out it is described further below, but it is not intended that to the present invention can practical range restriction.
Embodiment 1
A kind of water cut in water flooding reservoir Forecasting Methodology is present embodiments provided, this method comprises the following steps：
S1, obtain the recovery percent of reserves R data and moisture content f of the sample point of target reservoirwData.
Specifically, the geology and exploitation situation of oil reservoir are investigated, obtains the creation data in past exploitation in oil field；It is big old
Grandfather mansion oil field belongs to low permeability oil field, in July, 1994 using a set of series of strata water filling input exploitation of anti-9 methods of 250m well spacings, moves
With oil area 41.6km2, oil in place 2026 × 104T, demarcate recoverable reserves 256.5 × 104T, recovery ratio 12.7%, initial stage
Aqueous to determine 39.5%, the 11 years creation datas in oil field are shown in Table 1.
The panjandrum mansion oilfield production data of table 1
| Development time/year | Year oil-producing/ten thousand ton | Accumulate oil-producing/ten thousand ton | Moisture content/f |
| 1 | 8.1 | 8.1 | 0.395 |
| 2 | 32.4 | 40.5 | 0.672 |
| 3 | 30.4 | 62.8 | 0.755 |
| 4 | 46.6 | 77.0 | 0.798 |
| 5 | 44.6 | 91.2 | 0.784 |
| 6 | 58.8 | 103.3 | 0.799 |
| 7 | 54.7 | 113.5 | 0.807 |
| 8 | 68.9 | 123.6 | 0.829 |
| 9 | 64.8 | 133.7 | 0.870 |
| 10 | 79.0 | 143.8 | 0.900 |
| 11 | 77.0 | 156.0 | 0.902 |
Cumulative oil production in table 1 divided by oil in place are obtained into recovery percent of reserves data, and calculated under different water cutValue, be specifically shown in Table 2.
The oil field produced degree in panjandrum mansion of table 2 and actual measurement moisture content tables of data
S2, toFor ordinate, recovery percent of reserves carries out linear regression plan for the volume of data point of abscissa
Close, obtainWith the linear relationship curve map of recovery percent of reserves；Then moisture content is obtained as warp according to linear relationship curve map
Help water cut limit fwLWhen oil reservoir ultimate recovery ER；Eco-technical comparison fwLFor preset value.
Specifically, using recovery percent of reserves as abscissa, withFor ordinate, by actual moisture content and recovery percent of reserves number
Strong point is drawn in coordinate system, and carries out linear regression fit, is obtainedWith the linear relationship curve map of recovery percent of reserves (see
Fig. 1 cathetus AB)；Determine eco-technical comparison fwL(this example takes the general value 0.98 of eco-technical comparison), and count
CalculateValue (this example calculation value be -1.69), using ordinate value asAnd do one parallel to abscissa
Horizontal line (Fig. 1 cathetus CB), while extend the straight line that actual moisture content obtains with recovery percent of reserves fitting recurrence and meet at point (Fig. 1
Midpoint B), abscissa corresponding to the intersection point (intersection value of Fig. 1 cathetus BD and abscissa) is the economic limit condition in oil field
Under recovery ratio ER, the E in this exampleRValue is 0.128.
S3, with reference to the linear relationship curve map and following moisture content expression formula, obtain recovery percent of reserves history initial value R0
With moisture content history initial value fw0；The moisture content expression formula is：
Wherein, R is recovery percent of reserves, f；fwFor oil reservoir moisture percentage, f；fwLFor eco-technical comparison, f；R0For recovery percent of reserves
History initial value, f；fw0For moisture content history initial value, f；ERFor oil reservoir ultimate recovery, f.
Specifically, Section 2 on the right of moisture content expression formula is equal to the values of intercept of linear relationship curve map, moisture content expression
Section 1 recovery percent of reserves R coefficient is equal to the slope value of the linear relationship curve map on the right of formula, by solving binary first power
Journey draws recovery percent of reserves history initial value R0With moisture content history initial value fw0；It is computed, parameter R in this example0And fw0Respectively 0 He
0.52。
S4, the moisture content under the difference recovery percent of reserves of oil field, as water-drive pool are calculated according to the moisture content expression formula
The predicted value of moisture content.
Water cut value is calculated in the present embodiment and is drawn on Fig. 2 with actual oil field data, by Tong's chart and actual oil
The moisture content that field data obtain is drawn on Fig. 3；And the moisture content data that the two is calculated, and the relative error of moisture content
It is recorded in table 3.
The oil field produced degree in panjandrum mansion of table 3 and moisture content tables of data
By Fig. 2 and Fig. 3 and the data of table 3, the plot of water cut obtained using the present embodiment method and actual point are intended
Right very high, in addition to first actual point differs larger with calculated value, remainder data point relative error will be less than 5%, say
Understand the accuracy of the Forecasting Methodology；And the curve in Tong's chart and the actual data point goodness of fit are poor, the moisture content of prediction
Differ larger with actual value, relative error is up to 114.7%.
Claims (10)
1. a kind of water cut in water flooding reservoir Forecasting Methodology, it is characterised in that this method comprises the following steps：
Obtain the recovery percent of reserves R data and moisture content f of target reservoir sample pointwData；
To withFor ordinate, recovery percent of reserves carries out linear regression fit for the volume of data point of abscissa, obtainedWith the linear relationship curve map of recovery percent of reserves；And it is economic pole to obtain moisture content according to the linear relationship curve map
Limit moisture content fwLWhen oil reservoir ultimate recovery ER；
With reference to the linear relationship curve map and following moisture content expression formula, recovery percent of reserves history initial value R is obtained0And moisture content
History initial value fw0；The moisture content expression formula is：
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Wherein, R is recovery percent of reserves, f；fwFor oil reservoir moisture percentage, f；fwLFor eco-technical comparison, f；R0For recovery percent of reserves history
Initial value, f；fw0For moisture content history initial value, f；ERFor oil reservoir ultimate recovery, f；
Moisture content under the difference recovery percent of reserves of oil field is calculated according to the moisture content expression formula, i.e., water cut in water flooding reservoir is pre-
Measured value.
2. water cut in water flooding reservoir Forecasting Methodology according to claim 1, it is characterised in that obtain the target reservoir sample
The recovery percent of reserves R data and moisture content f of this pointwThe detailed process of data includes：
The mining type and oil field geologic feature of goal in research waterflooding development oil reservoir, collect the history production number in oil reservoir development
According to the creation data includes crude output data and moisture content fwData；
The crude output data are transformed to recovery percent of reserves R data.
3. water cut in water flooding reservoir Forecasting Methodology according to claim 1 or 2, it is characterised in that this method is by right
The linear relationship curve map uses graphing method, and acquisition moisture content is eco-technical comparison fwLWhen oil reservoir ultimate recovery ER。
4. water cut in water flooding reservoir Forecasting Methodology according to claim 3, it is characterised in that the specific mistake of the graphing method
Journey includes：
In the linear relationship curve map, using ordinate value asAnd a horizontal line is done parallel to abscissa, simultaneously
Extend the straight line that actual moisture content obtains with recovery percent of reserves fitting recurrence to meet at a bit, abscissa corresponding to the intersection point is oil field
Eco-technical comparison fwLUnder oil reservoir ultimate recovery ER。
5. according to the water cut in water flooding reservoir Forecasting Methodology described in claim any one of 1-4, it is characterised in that the combination institute
Linear relationship curve map and following moisture content expression formula are stated, obtains recovery percent of reserves history initial value R0With moisture content history initial value fw0
Detailed process include：
By the slope value and intercept corresponding to the slope term of the water rate expression formula and intercept item with the linear relationship curve map
Value establishes equation, and recovery percent of reserves history initial value R is drawn by solving equation0With moisture content history initial value fw0。
6. a kind of water cut in water flooding reservoir prediction meanss, it is characterised in that the device includes：
First module, first module are used for the recovery percent of reserves R data and moisture content f for obtaining target reservoir sample pointwNumber
According to；
Second module, second module be used forFor ordinate, recovery percent of reserves is the volume of data of abscissa
Point carries out linear regression fit, obtainsWith the linear relationship curve map of recovery percent of reserves；It is and bent according to the linear relationship
It is eco-technical comparison f that line chart, which obtains moisture content,wLWhen oil reservoir ultimate recovery ER；
3rd module, the 3rd module are used for reference to the linear relationship curve map and following moisture content expression formula, obtained
Recovery percent of reserves history initial value R0With moisture content history initial value fw0；The moisture content expression formula is：
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Wherein, R is recovery percent of reserves, f；fwFor oil reservoir moisture percentage, f；fwLFor eco-technical comparison, f；R0For recovery percent of reserves history
Initial value, f；fw0For moisture content history initial value, f；ERFor oil reservoir ultimate recovery, f；
4th module, the 4th module are used to calculate containing under the difference recovery percent of reserves of oil field according to the moisture content expression formula
The predicted value of water rate, i.e. water cut in water flooding reservoir.
7. water cut in water flooding reservoir prediction meanss according to claim 6, it is characterised in that in first module,
Obtain the recovery percent of reserves R data and moisture content f of the target reservoir sample pointwThe detailed process of data includes：
The mining type and oil field geologic feature of goal in research waterflooding development oil reservoir, collect the history production number in oil reservoir development
According to the creation data includes crude output data and moisture content fwData；
The crude output data are transformed to recovery percent of reserves R data.
8. water cut in water flooding reservoir prediction meanss according to claim 6, it is characterised in that in second module,
It is by using graphing method to the linear relationship curve map, acquisition moisture content is eco-technical comparison fwLWhen oil reservoir finally adopt
Yield ER。
9. water cut in water flooding reservoir prediction meanss according to claim 8, it is characterised in that the specific mistake of the graphing method
Journey includes：
In the linear relationship curve map, using ordinate value asAnd a horizontal line is done parallel to abscissa, simultaneously
Extend the straight line that actual moisture content obtains with recovery percent of reserves fitting recurrence to meet at a bit, abscissa corresponding to the intersection point is oil field
Eco-technical comparison fwLUnder oil reservoir ultimate recovery ER。
10. water cut in water flooding reservoir prediction meanss according to claim 6, it is characterised in that in the 3rd module,
The linear relationship curve map with reference to described in and following moisture content expression formula, obtain recovery percent of reserves history initial value R0And moisture content
History initial value fw0Detailed process include：
By the slope value and intercept corresponding to the slope term of the water rate expression formula and intercept item with the linear relationship curve map
Value establishes equation, and recovery percent of reserves history initial value R is drawn by solving equation0With moisture content history initial value fw0。
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