CN107676064B - Water-drive reservoir water content prediction method and prediction device thereof - Google Patents
Water-drive reservoir water content prediction method and prediction device thereof Download PDFInfo
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Abstract
The invention providesA water-drive reservoir water content prediction method and a prediction device thereof are provided, the method comprises the following steps: acquiring the extraction degree R data and the water content f of a target oil reservoir sample pointwData; to in pair with
Taking the vertical coordinate as well as linear regression fitting with the horizontal coordinate as the degree to obtain a linear relation curve graph of the two; and obtaining the water content f with the economic limit according to the linear relation curve chartwLUltimate recovery of crude oil reservoir ER(ii) a Combining the linear relation curve chart and the following water content expression to obtain the historical initial value R of the extraction degree0And historical initial value f of water contentw0(ii) a And calculating the water content of the oil field under different extraction degrees according to the water content expression, namely calculating the predicted value of the water-drive reservoir water content. The method is based on the actual development dynamic data of the oil field, and a formula of specific historical water content and recovery ratio of the oil field is calculated, so that the change of the water content along with the extraction degree of the oil field in the current extraction mode is predicted. The method is more in line with the actual oil reservoir, and the accuracy of the water content prediction of the established formula is higher.
Description
Technical Field
The invention belongs to the technical field of oilfield development, and particularly relates to a water-drive reservoir water content prediction method and a prediction device thereof.
Background
Research on water-drive curves and statistics of actual production data of oil fields prove that a certain relation exists between the water content and the extraction degree of any water-drive oil reservoir, the specific relation is the comprehensive reflection of the oil-water flow rule under the combined action of a plurality of factors in oil field development, and the change condition of the water content along with the extraction degree can be determined by using a relational expression of the water content and the extraction degree. The relationship is not only dependent on reservoir parameters such as heterogeneity of reservoir, fluid property, water body size and fluid distribution, but also dependent on artificial factors such as well pattern development, mining mode and working system. The parameters of each oil reservoir in an actual oil field are different, and the well pattern development and the exploitation mode are also characterized, so that the relationship between the water content and the extraction degree of different oil fields is different. In order to better clarify the change of the water content of the oil field, a reasonable relational expression between the water content and the extraction degree needs to be determined.
In 1981, the child constitution courier establishes the extraction degree R and the final recovery E based on the water-drive curve B and the data of 25 medium-high-permeability oil reservoirs at home and abroadRWith the water content fwThe relation of (1):
in the formula: f. ofwIs the reservoir water content, f; r is the oil reservoir production degree, f; eRAnd f, final oil recovery rate of the oil reservoir. The change rule of the water content and the extraction degree of the medium-high permeability oil field under different final recovery efficiencies can be obtained by using the formula. Taking the extraction degree R as the abscissa and the water content as the ordinate to obtain different ERA series of f can be made on the coordinate systemw-family of R relation curves. The Tong's chart is a chart of relation between water content and extraction degree, is a statistical rule obtained based on development data of medium-high permeability oil fields 30 years ago, and is widely applied in China. However, in recent years, the application of practical oil fields shows that the prediction error of the tongshi water content and the extraction degree is large, and even the prediction error cannot be applied, and the reason is that: in any oil field actually developed, the exploitation mode is continuously changed from the initial stage of exploitation of the oil field to years later, so that the extraction degree and the water content are changed, and the production data of one oil field for many years is difficult to fit by using a Tong's chart.
Aiming at the problems of the water drive plate of the constitution badge of children, Yi Da Qing proposed a correction plate in 2014, the expression of which is:
in the formula: f. ofwIs the reservoir water content, f; r is the oil reservoir production degree, f; eRF, oil reservoir ultimate recovery factor; a is a constant. And (4) obtaining a coefficient a by utilizing the regression of the actual production data of the oil field based on the formula, and drawing a curve chart of the relation between the water content and the extraction degree under different ultimate recovery ratios. However, the formula does not have any theoretical derivation, but is only assumed, while the constant a has no physical meaning.
The existing chart of the relation curve between the water content and the extraction degree mainly has the following two problems, namely that the Tong's chart obtained 30 years ago based on a statistical rule cannot be well applied to the existing water drive oil reservoir, the predicted water content is often greatly different from the actual water content, and certain limitation is realized; secondly, the corrected plate formula only artificially modifies the coefficient 7.5 and the like in the Tong's plate relational expression into other constants, and is lack of scientificity.
Disclosure of Invention
In order to solve the problems, the invention aims to provide a water-drive reservoir water content prediction method. The method can predict the change of the water content of the water-flooding oil field along with the extraction degree, can also predict the recovery rate and the recoverable reserve of the oil field, and is favorable for guiding the understanding of the effect of the oil field, thereby improving the economic benefit of the development of the water-flooding oil field.
The invention also aims to provide a water-drive reservoir water content prediction device.
In order to achieve the aim, the invention provides a water-drive reservoir water content prediction method, which comprises the following steps:
acquiring the extraction degree R data and the water content f of a target oil reservoir sample pointwData;
to in pair with
Is carried out by taking a series of data points with ordinate and abscissa degreeLinear regression fitting to obtain
A linear relationship curve graph with the extraction degree; and obtaining the water content f with the economic limit according to the linear relation curve chartwLUltimate recovery of crude oil reservoir ER；
Combining the linear relation curve chart and the following water content expression to obtain the historical initial value R of the extraction degree0And historical initial value f of water contentw0(ii) a The water content expression is as follows:
wherein R is the extraction degree, f; f. ofwIs the reservoir water content, f; f. ofwLIs the economic limit water content, f; r0F, an initial mining degree history value; f. ofw0F, the historical initial value of the water content; eRF, oil reservoir ultimate recovery factor;
and calculating the water content of the oil field under different extraction degrees according to the water content expression, namely calculating a predicted value of the water-drive reservoir water content.
The water content is an important development index in the oil field development process, the change of the water content reflects the flow rule of oil and water in an oil reservoir, and corresponding adjustment measures can be made for the oil field development according to the change of the water content to guide the oil field to develop more efficiently and reasonably. In the process of developing an oil field by injecting water or natural bottom water, a water body continuously pushes crude oil to the bottom of the well, the oil saturation in an oil reservoir is reduced along with the increase of the water saturation, when the water saturation reaches a certain value, the water saturation at an oil well is greater than the irreducible water saturation, the water content of the oil well begins to increase after the oil well encounters water, and the water content and the extraction degree form a certain relational expression. By utilizing the relational expression of the water content and the extraction degree, development dynamic parameters such as the water content of the water-drive oil reservoir can be predicted, the recoverable reserve and the recovery ratio of the water-drive oil reservoir can also be predicted, and the method is widely applied to water-drive development effect evaluation of the water-drive oil field at home and abroad. Therefore, the scheme of the invention provides a novel method for calculating the water content of the oil field, and the method calculates the specific formula of the historical water content and the recovery ratio of the oil field based on the actual development dynamic data of the oil field, thereby predicting the change of the water content of the oil field along with the extraction degree in the current exploitation mode. The method is more in line with the actual oil reservoir, and the accuracy of the water content prediction of the established formula is higher.
In the method for predicting the water-drive reservoir water content, the economic limit water content is a preset value, and a conventional preset value in the field can be selected.
In the method for predicting the water content of the water-drive reservoir, preferably, the extraction degree R data and the water content f of the sample point of the target reservoir are acquiredwThe specific process of the data comprises the following steps:
researching the exploitation mode and the oil field geological characteristics of a target water drive exploitation oil reservoir, and collecting historical production data in oil reservoir exploitation, wherein the production data comprises crude oil yield data and water content fwData;
the crude oil production data is transformed into production degree R data.
In the method for predicting the water cut of the water-drive reservoir, the method preferably obtains the water cut of the economic limit f by adopting a mapping method on the linear relation curve chartwLUltimate recovery of crude oil reservoir ER。
In the method for predicting water cut of a water-drive reservoir, preferably, the specific process of the mapping method includes:
in the linear relation curve graph, the ordinate is taken as
And making a horizontal line parallel to the abscissa, simultaneously prolonging the intersection of a straight line obtained by fitting regression of the actual water content and the extraction degree at one point, wherein the abscissa corresponding to the intersection is the economic limit water content f of the oil fieldwLUltimate recovery of oil reservoirR。
In the method for predicting water cut of water-drive reservoir, preferably, the initial value R of the mining degree history is obtained by combining the linear relation curve chart and the following water cut expression0And historical initial value f of water contentw0The specific process comprises the following steps:
establishing an equation for the slope value and the intercept value of the linear relation curve graph corresponding to the slope term and the intercept term of the water rate expression, and solving the equation to obtain an initial historical mining degree value R0And historical initial value f of water contentw0。
The invention also provides a water-drive reservoir water content prediction device, which comprises:
a first module for obtaining the extraction degree R data and the water content f of the target oil reservoir sample pointwData;
a second module for pairing with
A series of data points with the vertical coordinate and the horizontal coordinate are taken for linear regression fitting to obtain
A linear relationship curve graph with the extraction degree; and obtaining the water content f with the economic limit according to the linear relation curve chartwLUltimate recovery of crude oil reservoir ER；
A third module for combining the linear relation curve chart and the following water content expression to obtain an initial value R of the mining degree history0And historical initial value f of water contentw0(ii) a The water content expression is as follows:
wherein R is the extraction degree, f; f. ofwIs the reservoir water content, f; f. ofwLIs the economic limit water content, f; r0F, an initial mining degree history value; f. ofw0F, the historical initial value of the water content; eRF, oil reservoir ultimate recovery factor;
and the fourth module is used for calculating the water content of the oil field under different extraction degrees according to the water content expression, namely the predicted value of the water-drive reservoir water content.
In the above water-drive reservoir water content prediction apparatus, preferably, in the first module, the extraction degree R data and the water content f of the target reservoir sample point are acquiredwThe specific process of the data comprises the following steps:
researching the exploitation mode and the oil field geological characteristics of a target water drive exploitation oil reservoir, and collecting historical production data in oil reservoir exploitation, wherein the production data comprises crude oil yield data and water content fwData;
the crude oil production data is transformed into production degree R data.
In the above water-drive reservoir water content prediction apparatus, preferably, in the second module, the water content is obtained as the economic limit water content f by using a mapping method for the linear relation graphwLUltimate recovery of crude oil reservoir ER。
In the above water-drive reservoir water content prediction apparatus, preferably, the specific process of the mapping method includes:
in the linear relation curve graph, the ordinate is taken as
And making a horizontal line parallel to the abscissa, simultaneously prolonging the intersection of a straight line obtained by fitting regression of the actual water content and the extraction degree at one point, wherein the abscissa corresponding to the intersection is the economic limit water content f of the oil fieldwLUltimate recovery of oil reservoirR。
In the above water-drive reservoir water content prediction apparatus, preferably, in the third module, the initial mining degree history value R is obtained by combining the linear relation graph and the following water content expression0And historical initial value f of water contentw0The specific process comprises the following steps:
establishing an equation for the slope value and the intercept value of the linear relation curve graph corresponding to the slope term and the intercept term of the water rate expression, and solving the equation to obtain an initial historical mining degree value R0And historical initial value of water contentfw0。
The scheme provided by the invention is based on the theory that the relation between the water content and the extraction degree can reflect the flowing rule of oil-water underground in an oil field, and the water content calculation relational expression which accords with the actual oil field is obtained by utilizing the actual historical production data of the oil field, so that the water drive characteristic rule of the actual oil field can be explained and analyzed more accurately in theory, and the oil field development index can be predicted more accurately.
Drawings
FIG. 1 shows example 1 fitting regression using actual data
A linear relationship curve graph with the extraction degree;
FIG. 2 is a graph comparing the water content-extraction degree relation curve obtained in example 1 with actual data of an oil field;
FIG. 3 is a graph of a conventional Tongshi water flooding characteristic curve and a comparison of actual oilfield data.
Detailed Description
The technical solutions of the present invention will be described in detail below in order to clearly understand the technical features, objects, and advantages of the present invention, but the present invention is not limited to the practical scope of the present invention.
Example 1
The embodiment provides a water-drive reservoir water content prediction method, which comprises the following steps:
s1, acquiring the extraction degree R data and the water content f of the sample point of the target oil depositwAnd (4) data.
Specifically, the geology and the exploitation condition of an oil reservoir are inspected to obtain the production data of the oil field in the past development; the grand house oil field belongs to the low permeability oil field, and adopts a 250m well spacing reverse nine-point method to set water injection of a layer system for development in 7 months of 1994, and utilizes the oil-bearing area of 41.6km2Geological reserve 2026 × 104t, calibrating recoverable reserve 256.5 × 104t, the recovery ratio is 12.7 percent, the initial water content is determined to be 39.5 percent, and the 11-year production data of the oil field is shown in a table 1.
TABLE 1 grandpa mansion oilfield production data
| Development time/year | Annual oil production per ten thousand tons | Cumulative oil production per ten thousand tons | Water content/ |
| 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 |
The cumulative oil production in table 1 is divided by the geological reserves to obtain the data of the extraction degree, and the water content is calculated under different conditions
The values of (A) are shown in Table 2.
TABLE 2 data sheet of production degree and actually measured water content of great grandpa mansion oil field
S2, in pairs
A series of data points with the vertical coordinate and the horizontal coordinate are taken for linear regression fitting to obtain
A linear relationship curve graph with the extraction degree; then obtaining the water content f with the economic limit according to the linear relation curve chartwLUltimate recovery of crude oil reservoir ER(ii) a Economic limit water content fwLIs a preset value.
Specifically, the extraction degree is taken as the abscissa, so as to
As a vertical coordinate, drawing the data points of the actual water content and the extraction degree into a coordinate system, and performing linear regression fitting to obtain
Linear plot of production (see line AB in fig. 1); determination of economic limit water content fwL(in the example, the general value of the economic limit water content is taken as 0.98), and the calculation is carried out
The value of (A) in this example (calculated as-1.69) is plotted on the ordinate
Making a horizontal line (straight line CB in figure 1) parallel to the abscissa, and simultaneously prolonging the intersection point (point B in figure 1) of the straight line obtained by fitting regression of the actual moisture content and the extraction degree, wherein the intersection point corresponds toThe abscissa (the intersection of the line BD and the abscissa in FIG. 1) is the recovery factor E under the economic limit condition of the oil fieldRE in the present exampleRThe value is 0.128.
S3, combining the linear relation curve chart and the following water content expression to obtain the historical initial value R of the extraction degree0And historical initial value f of water contentw0(ii) a The water content expression is as follows:
wherein R is the extraction degree, f; f. ofwIs the reservoir water content, f; f. ofwLIs the economic limit water content, f; r0F, an initial mining degree history value; f. ofw0F, the historical initial value of the water content; eRAnd f, final oil recovery rate of the oil reservoir.
Specifically, the second term on the right side of the water content expression is equal to an intercept value of a linear relation curve graph, the coefficient of the extraction degree R of the first term on the right side of the water content expression is equal to a slope value of the linear relation curve graph, and an initial historical extraction degree value R is obtained by solving a linear equation of two-dimensional equation0And historical initial value f of water contentw0(ii) a Calculated, the parameter R in this example0And f w00 and 0.52, respectively.
And S4, calculating the water content of the oil field under different extraction degrees according to the water content expression, namely the predicted value of the water-drive reservoir water content.
The water content value obtained by calculation in the embodiment and the actual oil field data are drawn in a graph 2, and the water content obtained by the Tong's chart and the actual oil field data is drawn in a graph 3; the water content data obtained by calculating the water content and the relative error of the water content are shown in Table 3.
TABLE 3 data sheet of production degree and water content of great grandpa mansion oil field
As can be seen from the data in fig. 2, fig. 3 and table 3, the fitting degree of the water content curve and the actual points obtained by the method of the present embodiment is very high, and the relative errors of the remaining data points are less than 5% except for the difference between the first actual point and the calculated value, which illustrates the accuracy of the prediction method; the goodness of fit between the curve in the Tong's chart and the actual data point is poor, the difference between the predicted water content and the actual value is large, and the maximum relative error is 114.7%.
Claims (6)
1. The method for predicting the water content of the water-drive reservoir is characterized by comprising the following steps of:
acquiring the extraction degree R data and the water content f of a target oil reservoir sample pointwData;
to in pair with
A series of data points with the vertical coordinate and the horizontal coordinate are taken for linear regression fitting to obtain
A linear relationship curve graph with the extraction degree; and obtaining the water content f with the economic limit according to the linear relation curve chartwLUltimate recovery of crude oil reservoir ER；
Combining the linear relation curve chart and the following water content expression to obtain the historical initial value R of the extraction degree0And historical initial value f of water contentw0(ii) a The water content expression is as follows:
wherein R is the extraction degree; f. ofwThe water content of the oil reservoir; f. ofwLThe water content is economic limit water content; r0The initial value of the mining degree history is obtained; f. ofw0The historical initial value of the water content is obtained; eRThe ultimate recovery of the oil reservoir;
calculating the water content of the oil field under different extraction degrees according to the water content expression, namely calculating a predicted value of the water-drive reservoir water content;
the method is to obtain the water content f with the economic limit water content by adopting a mapping method on the linear relation curve chartwLUltimate recovery of crude oil reservoir ER；
The drawing method comprises the following specific processes:
in the linear relation curve graph, the ordinate is taken as
And making a horizontal line parallel to the abscissa, simultaneously prolonging the intersection of a straight line obtained by fitting regression of the actual water content and the extraction degree at one point, wherein the abscissa corresponding to the intersection is the economic limit water content f of the oil fieldwLUltimate recovery of oil reservoirR。
2. The method for predicting the water-drive reservoir water content according to claim 1, wherein data of the extraction degree R and the water content f of the target reservoir sample point are obtainedwThe specific process of the data comprises the following steps:
researching the exploitation mode and the oil field geological characteristics of a target water drive exploitation oil reservoir, and collecting historical production data in oil reservoir exploitation, wherein the production data comprises crude oil yield data and water content fwData;
the crude oil production data is transformed into production degree R data.
3. The method for predicting the water-drive reservoir water content according to claim 1 or 2, characterized in that the linear relation graph and the following water content expression are combined to obtain the historical initial value R of the extraction degree0And historical initial value f of water contentw0The specific process comprises the following steps:
establishing an equation for the slope value and the intercept value of the linear relation curve graph corresponding to the slope term and the intercept term of the water rate expression, and solving the equation to obtain an initial historical mining degree value R0And historical initial value f of water contentw0。
4. A water-drive reservoir water cut prediction device is characterized by comprising:
a first module for obtaining the extraction degree R data and the water content f of the target oil reservoir sample pointwData;
a second module for pairing with
A series of data points with the vertical coordinate and the horizontal coordinate are taken for linear regression fitting to obtain
A linear relationship curve graph with the extraction degree; and obtaining the water content f with the economic limit according to the linear relation curve chartwLUltimate recovery of crude oil reservoir ER；
A third module for combining the linear relation curve chart and the following water content expression to obtain an initial value R of the mining degree history0And historical initial value f of water contentw0(ii) a The water content expression is as follows:
wherein R is the extraction degree; f. ofwThe water content of the oil reservoir; f. ofwLThe water content is economic limit water content; r0The initial value of the mining degree history is obtained; f. ofw0The historical initial value of the water content is obtained; eRThe ultimate recovery of the oil reservoir;
the fourth module is used for calculating the water content of the oil field under different extraction degrees according to the water content expression, namely the predicted value of the water-drive reservoir water content;
in the second module, the water content is obtained as the economic limit water content f by adopting a mapping method on the linear relation curve chartwLUltimate recovery of crude oil reservoir ER；
The drawing method comprises the following specific processes:
in the linear relation curve graph, the ordinate is taken as
And making a horizontal line parallel to the abscissa, simultaneously prolonging the intersection of a straight line obtained by fitting regression of the actual water content and the extraction degree at one point, wherein the abscissa corresponding to the intersection is the economic limit water content f of the oil fieldwLUltimate recovery of oil reservoirR。
5. The water-drive reservoir water cut prediction device of claim 4, wherein in the first module, extraction degree R data and water cut f of the target reservoir sample point are obtainedwThe specific process of the data comprises the following steps:
researching the exploitation mode and the oil field geological characteristics of a target water drive exploitation oil reservoir, and collecting historical production data in oil reservoir exploitation, wherein the production data comprises crude oil yield data and water content fwData;
the crude oil production data is transformed into production degree R data.
6. The device for predicting the water-drive reservoir water cut of claim 4, wherein in the third module, the linear relation graph and the following water cut expression are combined to obtain the initial mining degree historical value R0And historical initial value f of water contentw0The specific process comprises the following steps:
establishing an equation for the slope value and the intercept value of the linear relation curve graph corresponding to the slope term and the intercept term of the water rate expression, and solving the equation to obtain an initial historical mining degree value R0And historical initial value f of water contentw0。
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| CN103912248A (en) * | 2014-03-20 | 2014-07-09 | 中国石油天然气股份有限公司 | Method for predicting water contents of water-drive oilfields |
| CN104915512A (en) * | 2015-06-25 | 2015-09-16 | 陕西延长石油(集团)有限责任公司研究院 | Method for predicting recovery percentage and water cut of oil field |
| CN106202673A (en) * | 2016-06-30 | 2016-12-07 | 中国石油天然气股份有限公司 | Determine the method and device of oil reservoir moisture percentage and oil recovery percent of reserves relation |
| CN106639995A (en) * | 2016-11-18 | 2017-05-10 | 中国石油天然气股份有限公司 | Method for predicting crude oil production ratio of water-drive oil reservoir |
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| CN103912248A (en) * | 2014-03-20 | 2014-07-09 | 中国石油天然气股份有限公司 | Method for predicting water contents of water-drive oilfields |
| CN104915512A (en) * | 2015-06-25 | 2015-09-16 | 陕西延长石油(集团)有限责任公司研究院 | Method for predicting recovery percentage and water cut of oil field |
| CN106202673A (en) * | 2016-06-30 | 2016-12-07 | 中国石油天然气股份有限公司 | Determine the method and device of oil reservoir moisture percentage and oil recovery percent of reserves relation |
| CN106639995A (en) * | 2016-11-18 | 2017-05-10 | 中国石油天然气股份有限公司 | Method for predicting crude oil production ratio of water-drive oil reservoir |
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