CN112183800A - Method and device for predicting recoverable reserves of crude oil in water-drive reservoir - Google Patents
Method and device for predicting recoverable reserves of crude oil in water-drive reservoir Download PDFInfo
- Publication number
- CN112183800A CN112183800A CN201910588032.0A CN201910588032A CN112183800A CN 112183800 A CN112183800 A CN 112183800A CN 201910588032 A CN201910588032 A CN 201910588032A CN 112183800 A CN112183800 A CN 112183800A
- Authority
- CN
- China
- Prior art keywords
- oil
- water content
- accumulated
- water
- production
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 55
- 239000010779 crude oil Substances 0.000 title claims abstract description 53
- 239000003921 oil Substances 0.000 claims abstract description 313
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 201
- 238000004519 manufacturing process Methods 0.000 claims abstract description 110
- 238000013178 mathematical model Methods 0.000 claims abstract description 41
- 238000011161 development Methods 0.000 claims abstract description 31
- 230000001186 cumulative effect Effects 0.000 claims description 48
- 238000003860 storage Methods 0.000 claims description 13
- 238000004590 computer program Methods 0.000 claims description 11
- 239000012530 fluid Substances 0.000 claims description 5
- 238000013480 data collection Methods 0.000 claims description 3
- 230000008859 change Effects 0.000 abstract description 11
- 230000000694 effects Effects 0.000 abstract description 7
- 230000008901 benefit Effects 0.000 abstract description 3
- 230000009286 beneficial effect Effects 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 11
- 230000014509 gene expression Effects 0.000 description 11
- 239000007788 liquid Substances 0.000 description 11
- 238000004364 calculation method Methods 0.000 description 5
- 230000008569 process Effects 0.000 description 5
- 230000006870 function Effects 0.000 description 4
- 238000013507 mapping Methods 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
- 239000002332 oil field water Substances 0.000 description 2
- 230000003068 static effect Effects 0.000 description 2
- 230000009471 action Effects 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000003208 petroleum Substances 0.000 description 1
- 238000011084 recovery Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Forestry; Mining
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Physics & Mathematics (AREA)
- Tourism & Hospitality (AREA)
- Theoretical Computer Science (AREA)
- Marketing (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Life Sciences & Earth Sciences (AREA)
- Animal Husbandry (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Entrepreneurship & Innovation (AREA)
- Game Theory and Decision Science (AREA)
- Agronomy & Crop Science (AREA)
- Development Economics (AREA)
- Marine Sciences & Fisheries (AREA)
- Mining & Mineral Resources (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Production Of Liquid Hydrocarbon Mixture For Refining Petroleum (AREA)
Abstract
The invention provides a method and a device for predicting the recoverable reserves of crude oil in a water-drive reservoir, wherein the method comprises the steps of determining the exploitation mode and the geological characteristics of an oil field, and collecting historical production data in the development of the oil field; drawing a relation graph between the water content and the accumulated oil yield by taking the water content in the production data as a vertical coordinate and the accumulated oil yield as a horizontal coordinate, and performing nonlinear regression fitting on the water content and the accumulated oil yield data to obtain an accumulated oil yield and water content mathematical model matched with the oil field; and determining the recoverable reserve of the crude oil of the water drive reservoir according to the mathematical model of the accumulated oil production and the water content. The method provided by the invention can predict the change of the accumulated oil production of the water-flooding oil field along with the water content, and can also calculate the recoverable reserve of the oil field, and the method is more in line with the actual oil reservoir and has high practicability and high reliability; the method is beneficial to evaluating the existing development effect of the oil field and guiding the implementation of the residual oil submergence digging measure in the later period of the oil field, thereby improving the economic benefit of water-drive oil field development.
Description
Technical Field
The invention relates to a method and a device for predicting the recoverable reserve of crude oil in a water-drive oil reservoir, belonging to the technical field of oil reservoir exploitation engineering in oil field development.
Background
The recoverable reserve of an oil reservoir is an important index for oil field development, and the size of the recoverable reserve determines whether the oil field has development value or effective development degree to a certain extent. As oil fields continue to be developed and recognized, the recoverable reserves of oil fields also change. The size of the recoverable reserves is related to oil reservoir static parameters such as thickness, porosity and heterogeneity of an oil reservoir, fluid properties, water body size and fluid distribution, and also related to human factors such as well pattern development, exploitation mode and working system. Statistics of actual production data of the oil field proves that a certain relation exists between the water content and the accumulated oil production of any water-driven 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 recoverable reserve of the oil field can be calculated by using a relational expression of the accumulated oil production and the water content.
In order to accurately calculate the water-drive recoverable reserve of the oil field, a reasonable relationship between the recoverable reserve and the water content needs to be determined. The following four expressions of the recoverable reserves are proposed in the calculation method (SY/T5367-2010) of the industry standard petroleum recoverable reserves in China:
1) characteristic curve of type A water drive
The relation between the accumulated water production and the accumulated oil production is as follows:
lgWp＝a1+b1Npformula 1;
the expression of recoverable reserves is:
in formulas 1 and 2: wpTen thousand tons of water is accumulated for the oil field; n is a radical ofpTen thousand tons of oil is accumulated in the oil field; n is a radical ofptTen thousand tons of oil field recoverable reserves; f. ofwLF (decimal) is the ultimate water content of the oil field; a is1And b1Is a constant.
2) Characteristic curve of type B water flooding
The relation between the accumulated water production and the accumulated oil production is as follows:
lgLp＝a2+b2Npformula 3;
the expression of recoverable reserves is:
in formulas 3 and 4: l ispTen thousand tons of liquid production is accumulated for the oil field; n is a radical ofpTen thousand tons of oil is accumulated in the oil field; n is a radical ofptTen thousand tons of oil field recoverable reserves; f. ofwLF (decimal) is the ultimate water content of the oil field; a is2And b2Is a constant.
3) C type water drive characteristic curve
The relation between the accumulated water production and the accumulated oil production is as follows:
the expression of recoverable reserve is
In formulas 5 and 6: l ispTen thousand tons of liquid production is accumulated for the oil field; n is a radical ofpTen thousand tons of oil is accumulated in the oil field; n is a radical ofptTen thousand tons of oil field recoverable reserves; f. ofwLF (decimal) is the ultimate water content of the oil field; a is3And b3Is a constant.
4) T-shaped water drive characteristic curve
The relation between the accumulated water production and the accumulated oil production is as follows:
the expression of recoverable reserves is:
in formulas 7 and 8: l ispTen thousand tons of liquid production is accumulated for the oil field; n is a radical ofpTen thousand tons of oil is accumulated in the oil field; wpTen thousand tons of water is accumulated for the oil field; n is a radical ofptTen thousand tons of oil field recoverable reserves; f. ofwLF (decimal) is the ultimate water content of the oil field; a is4And b4Is a constant.
It can be seen from the existing relationship between recoverable reserve and water content, the following problems mainly exist: 1) the recoverable reserve of the oil field can be calculated by using the formula only when a certain linear relation exists among the accumulated oil production, the accumulated liquid production and the accumulated water production of the oil field; 2) after the linear relation among the oil field accumulated oil production, the accumulated liquid production and the accumulated water production is determined, namely the coefficient in the formula is determined, the recoverable reserves are only related to the limit water content according to the calculation formula of the recoverable reserves, which is obviously unreasonable, because the recoverable reserves of the oil field are changed at any time along with the continuous development and understanding of the oil field; 3) the conditions for satisfying the linear relation of the existing formulas among the accumulated oil production, the accumulated liquid production and the accumulated water production of the oil field are different, so that people cannot determine when the corresponding formula is used for calculating the recoverable reserves, the applicability is poor, in addition, the recoverable reserves calculated by different formulas have larger difference, which formula is more accurate and more in line with the actual condition of the oil field cannot be determined, and the reliability is poor; 4) because the accumulative yield is often much larger than the instantaneous quantity, the above formula obtains the recoverable reserves based on the accumulative quantity and shows the change rule of the recoverable reserves in the production process.
Therefore, providing a novel method and a novel device for predicting the crude oil recoverable reserve of a water-drive reservoir has become an urgent technical problem to be solved in the field.
Disclosure of Invention
To address the above-described shortcomings and drawbacks, it is an object of the present invention to provide a method for predicting crude oil recoverable reserves of water-drive reservoirs. The method provided by the invention not only can explain and analyze the actual oilfield water flooding characteristic rule more accurately in theory, but also can predict oilfield development indexes more accurately.
The invention further aims to provide a device for predicting the crude oil recoverable reserve of the water-drive reservoir.
It is also an object of the invention to provide a computer apparatus.
It is still another object of the present invention to provide a computer-readable storage medium.
In order to achieve the above objects, in one aspect, the present invention provides a method for predicting crude oil recoverable storage capacity of a water-drive reservoir, wherein the method for predicting crude oil recoverable storage capacity of the water-drive reservoir comprises:
step 1, determining an exploitation mode and geological characteristics of an oil field, and collecting historical production data in oil field development;
step 2, drawing a relation graph between the water content and the accumulated oil yield by taking the water content in the production data as a vertical coordinate and the accumulated oil yield as a horizontal coordinate, and performing nonlinear regression fitting on the water content and the accumulated oil yield data to obtain an accumulated oil yield and water content mathematical model matched with the oil field;
and 3, determining the recoverable reserves of the crude oil of the water drive reservoir according to the mathematical model of the accumulated oil production and the water content.
According to a specific embodiment of the present invention, in the method, preferably, the production data in step 1 includes annual oil production, cumulative liquid production, and water content data.
According to an embodiment of the present invention, in the method, more preferably, the production data in step 1 includes cumulative oil production and water content.
According to the specific embodiment of the present invention, in the method, preferably, in step 2, a relation graph between the water content and the cumulative oil production is plotted by using the water content as an ordinate and the cumulative oil production as an abscissa, and nonlinear regression fitting is performed on the water content and the cumulative oil production data according to the following formula 9, so as to obtain a mathematical model of the cumulative oil production and the water content matched with the oil field;
in formula 9: f. ofwThe water content of the oil field is the ratio of water yield to liquid yield, and the unit is decimal f; f. ofw0Is the initial water content of the oil field, and the unit is decimal f; f. ofwLF is the oil field limit water content, the unit is decimal; n is a radical ofpThe unit is ten thousand tons or ton for the oil field accumulated oil production; n is a radical ofp0The water content of the oil field is fw0The cumulative oil production per hour is ten thousand tons or ton; n is a radical ofptThe water content of the oil field is fwLThe cumulative oil production in time is in units of ten thousand tons or tons.
According to an embodiment of the present invention, in the method, preferably, in step 3, the determining the recoverable crude oil reserve of the water-drive reservoir according to the mathematical model of the cumulative oil production and the water cut comprises:
and when the accumulated oil yield and the water content in the water content mathematical model are the limit water content, the corresponding oil field accumulated oil yield in the accumulated oil yield and water content mathematical model is the crude oil recoverable reserve of the water-drive reservoir.
According to a particular embodiment of the present invention, preferably, the method further comprises: and establishing curve plates of the cumulative oil yield and the water content under different crude oil recoverable reserves according to the mathematical model of the cumulative oil yield and the water content. Wherein, the change rule of the accumulated oil production and the water content can be visually found according to the chart.
The water content and the accumulated oil yield are two important development indexes in the oil field development process, the change between the water content and the accumulated oil yield reflects the production dynamics and the development effect of the oil field, indirectly reflects the flowing 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 accumulated oil yield and the water content to guide the oil field to develop more efficiently and reasonably. By utilizing the relation between the accumulated oil production and the water content, not only can the development dynamic parameters such as the water content of the oil reservoir be predicted, but also the recoverable reserve of the oil reservoir can be predicted. The method for predicting the recoverable reserve of the crude oil of the water-drive reservoir is based on actual production data of an oil field, obtains a relational expression of the accumulated oil yield and the water content matched with the actual oil field by using a regression fitting method and a mapping method, can quantitatively determine the change rule of the accumulated oil yield and the water content of the oil field based on the relational expression, and can reasonably predict the change rule of the accumulated oil yield along with the water content; meanwhile, based on the relation between the accumulated oil production and the water content, the invention also establishes curve charts under different recoverable reserves, and draws the actual production data of the oil field to a theoretical chart for matching, thereby analyzing the development effect of the oil field and guiding the future development and adjustment.
In another aspect, the present invention further provides an apparatus for predicting crude oil recoverable reserves of a water-drive reservoir, wherein the apparatus for predicting crude oil recoverable reserves of a water-drive reservoir comprises:
the data collection module is used for determining the exploitation mode and the geological characteristics of the oil field and collecting historical production data in the development of the oil field;
the data fitting and model establishing module is used for drawing a relation graph between the water content and the accumulated oil yield by taking the water content in the production data as a vertical coordinate and the accumulated oil yield as a horizontal coordinate, and performing nonlinear regression fitting on the water content and the accumulated oil yield data to obtain an accumulated oil yield and water content mathematical model matched with the oil field;
and the crude oil recoverable reserve determining module is used for determining the crude oil recoverable reserve of the water drive reservoir according to the accumulated oil yield and water ratio mathematical model.
According to a specific embodiment of the present invention, in the apparatus, preferably, the production data includes annual oil production, cumulative liquid production, and water cut data.
In the device according to an embodiment of the present invention, more preferably, the production data includes cumulative oil production and water content.
According to an embodiment of the present invention, in the apparatus, preferably, the data fitting and model building module is specifically configured to:
drawing a relation graph between the water content and the accumulated oil yield by taking the water content as a vertical coordinate and the accumulated oil yield as a horizontal coordinate, and carrying out nonlinear regression fitting on the water content and the accumulated oil yield data according to the following formula 9 to obtain an accumulated oil yield and water content mathematical model matched with the oil field;
in formula 9: f. ofwThe water content of the oil field is the ratio of water yield to liquid yield, and the unit is decimal f; f. ofw0Is the initial water content of the oil field, and the unit is decimal f; f. ofwLF is the oil field limit water content, the unit is decimal; n is a radical ofpThe unit is ten thousand tons or ton for the oil field accumulated oil production; n is a radical ofp0The water content of the oil field is fw0The cumulative oil production per hour is ten thousand tons or ton; n is a radical ofptThe water content of the oil field is fwLThe cumulative oil production in time is in units of ten thousand tons or tons.
According to an embodiment of the present invention, in the apparatus, preferably, the crude oil recoverable amount determining module is specifically configured to:
and when the accumulated oil yield and the water content in the water content mathematical model are the limit water content, the corresponding oil field accumulated oil yield in the accumulated oil yield and water content mathematical model is the crude oil recoverable reserve of the water-drive reservoir.
According to an embodiment of the present invention, preferably, the apparatus further includes a plate creating module, specifically configured to:
and establishing curve plates of the cumulative oil yield and the water content under different crude oil recoverable reserves according to the mathematical model of the cumulative oil yield and the water content.
In yet another aspect, the present invention further provides a computer device, which includes a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method for predicting crude oil recoverable storage capacity of a water-drive reservoir.
In still another aspect, the present invention further provides a computer readable storage medium, wherein the computer readable storage medium stores a computer program for executing the method for predicting crude oil recoverable storage capacity of a water-drive reservoir described above.
The invention provides a novel relational expression of accumulated oil yield and water content by utilizing a nonlinear regression fitting method and a mapping method based on the actual production dynamic and static data of an oil field, and provides a calculation method of recoverable reserves. By comparing the accumulated oil yield value (solid line in fig. 4) calculated by the method provided by the invention with the accumulated oil yield obtained through actual oil field data, the fact that the actual oil field accumulated oil yield and water content relation data points are basically located on the accumulated oil yield and water content relation curve calculated by the method provided by the invention is found, which shows that the theoretical curve and the actual data obtained by the method have high goodness of fit, and the accuracy of the accumulated oil yield and water content model and the method provided by the invention is further verified.
The method provided by the invention can predict the change of the accumulated oil production of the water-flooding oil field along with the water content, and can also calculate the recoverable reserve of the oil field, and the method is more in line with the actual oil reservoir and has high practicability and high reliability; the method is beneficial to evaluating the existing development effect of the oil field and guiding the implementation of the residual oil submergence digging measure in the later period of the oil field, thereby improving the economic benefit of water-drive oil field development.
In addition, the invention provides three modes for acquiring the water-drive recoverable reserves, namely nonlinear regression fitting, formula calculation and a mapping method, and the change rule of the accumulated oil yield and the water content can be vividly understood and analyzed by the mapping method, so that the evaluation of the oil field development effect is facilitated.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a specific process flow chart of the method for predicting the crude oil recoverable reserve of the water-drive reservoir according to the embodiment of the invention.
Fig. 2 is a schematic structural diagram of the device for predicting crude oil recoverable storage capacity of a water-drive reservoir in an embodiment of the invention.
Fig. 3 is a schematic structural diagram of the device for predicting crude oil recoverable capacity of a water-drive reservoir according to another embodiment of the invention.
FIG. 4 is a graph of the cumulative oil production versus water cut obtained in the example of the present invention and a comparison of the graph with actual data of an oil field.
Detailed Description
In order to clearly understand the technical features, objects and advantages of the present invention, the following detailed description of the technical solutions of the present invention will be made with reference to the following specific examples, which should not be construed as limiting the implementable scope of the present invention.
Fig. 1 is a process flow chart of a method for predicting crude oil recoverable storage capacity of a water-drive reservoir in an embodiment of the invention, as shown in fig. 1, the method comprises the following steps:
step S1, determining the exploitation mode and the geological characteristics of the oil field, and collecting the historical production data in the development of the oil field;
step S2, drawing a relation graph between the water content and the accumulated oil yield by taking the water content in the production data as a vertical coordinate and the accumulated oil yield as a horizontal coordinate, and performing nonlinear regression fitting on the water content and the accumulated oil yield data to obtain an accumulated oil yield and water content mathematical model matched with the oil field;
and step S3, determining the crude oil recoverable reserve of the water drive reservoir according to the accumulated oil production and water ratio mathematical model.
In one embodiment, in the step 2, a relation graph between the water content and the accumulated oil yield is drawn by taking the water content as a vertical coordinate and the accumulated oil yield as a horizontal coordinate, and nonlinear regression fitting is performed on the water content and the accumulated oil yield data according to the following formula 9 to obtain an accumulated oil yield and water content mathematical model matched with the oil field;
in formula 9: f. ofwThe water content of the oil field is the ratio of water yield to liquid yield, and the unit is decimal f; f. ofw0Is the initial water content of the oil field, and the unit is decimal f; f. ofwLF is the oil field limit water content, the unit is decimal; n is a radical ofpThe unit is ten thousand tons or ton for the oil field accumulated oil production; n is a radical ofp0The water content of the oil field is fw0The cumulative oil production per hour is ten thousand tons or ton; n is a radical ofptThe water content of the oil field is fwLThe cumulative oil production in time is in units of ten thousand tons or tons.
In an embodiment, in step 3, the determining the recoverable crude oil reserve of the water-drive reservoir according to the mathematical model of the cumulative oil production and the water cut includes:
and when the accumulated oil yield and the water content in the water content mathematical model are the limit water content, the corresponding oil field accumulated oil yield in the accumulated oil yield and water content mathematical model is the crude oil recoverable reserve of the water-drive reservoir.
In an embodiment, the method further comprises: and establishing curve plates of the cumulative oil yield and the water content under different crude oil recoverable reserves according to the mathematical model of the cumulative oil yield and the water content.
The method provided by the embodiment of the invention is specifically explained by combining the calculation process of the water-drive recoverable reserve of the oilfield in North Daqing province:
firstly, investigating the geology and the exploitation condition of an oil reservoir to obtain the production data of the oil field in the past development;
then, obtaining the actual accumulated oil production and water content data of the oil field in 25 years (shown in the table 1) according to the production data;
next, the water content and the cumulative oil yield of the actual oil field are plotted in a coordinate system (scatter points in fig. 4) with the cumulative oil yield as an abscissa and the water content as an ordinate.
TABLE 1 Daqing Sabei oilfield production data
Thirdly, performing nonlinear regression fitting on the actual accumulated oil production and water content data of the oil field in the graph 4 by using a computer, thereby determining a parameter N corresponding to the oil field in the formula 9p0(example Np00) and fw0(this example f)w00.15) and ultimate water content ratio fwL(this example f)wLValue of 0.98) corresponding to the final accumulated oil production, namely the oil recovery and storage quantity Npt(N of the present example)pt1432 ten thousand tons) to obtain a relational expression of the cumulative oil production and the water content reflecting the water flooding development effect of the oil field, which is shown in the following formula 10 (the recoverable reserve of 1432 ten thousand tons can be similarly obtained by taking the limit water content to 0.98 by the following relational expression 10):
and finally, drawing the theoretical values (formula 10) of the cumulative oil yield and the water content of the oil field in the example in a coordinate system (shown as a curve in fig. 4) by taking the cumulative oil yield as an abscissa and the water content as an ordinate, so that an oil reservoir engineer can be helped to analyze the change rule of the cumulative oil yield and the water content of the oil field, further the oil field development effect is evaluated, and the oil field water flooding development index is predicted.
Based on the same inventive concept, the embodiment of the invention also provides a device for predicting the crude oil recoverable reserve of the water-drive reservoir, which is described in the following implementation. Because the principles of solving the problems are similar to the method for predicting the crude oil recoverable reserve of the water-drive reservoir, the implementation of the device can refer to the implementation of the method, and repeated parts are not repeated.
Fig. 2 is a schematic structural diagram of an apparatus for predicting crude oil recoverable storage capacity of a water-drive reservoir according to an embodiment of the present invention, and as shown in fig. 2, the apparatus includes:
the data collection module 201 is used for determining the exploitation mode and the geological characteristics of the oil field and collecting historical production data in oil field development;
the data fitting and model establishing module 202 is used for drawing a relation graph between the water content and the accumulated oil yield by taking the water content in the production data as a vertical coordinate and the accumulated oil yield as a horizontal coordinate, and performing nonlinear regression fitting on the water content and the accumulated oil yield data to obtain an accumulated oil yield and water content mathematical model matched with the oil field;
and the crude oil recoverable reserve determining module 203 is used for determining the crude oil recoverable reserve of the water drive reservoir according to the accumulated oil yield and water ratio mathematical model.
In one embodiment, the production data includes annual oil production, cumulative fluid production, and moisture content data.
In one embodiment, the production data includes cumulative oil production and water cut.
In an embodiment, the data fitting and model building module is specifically configured to:
drawing a relation graph between the water content and the accumulated oil yield by taking the water content as a vertical coordinate and the accumulated oil yield as a horizontal coordinate, and carrying out nonlinear regression fitting on the water content and the accumulated oil yield data according to the following formula 9 to obtain an accumulated oil yield and water content mathematical model matched with the oil field;
in formula 9: f. ofwThe water content of the oil field; f. ofw0The initial water content of the oil field; f. ofwLThe ultimate water content of the oil field; n is a radical ofpThe unit is ten thousand tons or ton for the oil field accumulated oil production; n is a radical ofp0The water content of the oil field is fw0The cumulative oil production per hour is ten thousand tons or ton; n is a radical ofptThe water content of the oil field is fwLThe cumulative oil production in time is in units of ten thousand tons or tons.
In one embodiment, the crude oil recoverable reserve determining module is specifically configured to:
and when the accumulated oil yield and the water content in the water content mathematical model are the limit water content, the corresponding oil field accumulated oil yield in the accumulated oil yield and water content mathematical model is the crude oil recoverable reserve of the water-drive reservoir.
In an embodiment, the apparatus (as shown in fig. 3) further includes a plate creating module 204, specifically configured to:
and establishing curve plates of the cumulative oil yield and the water content under different crude oil recoverable reserves according to the mathematical model of the cumulative oil yield and the water content.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above description is only exemplary of the invention and should not be taken as limiting the scope of the invention, so that the invention is intended to cover all modifications and equivalents of the embodiments described herein. In addition, the technical features and the technical inventions of the present invention, the technical features and the technical inventions, and the technical inventions can be freely combined and used.
Claims (14)
1. The method for predicting the crude oil recoverable reserves of the water-drive reservoir is characterized by comprising the following steps of:
step 1, determining an exploitation mode and geological characteristics of an oil field, and collecting historical production data in oil field development;
step 2, drawing a relation graph between the water content and the accumulated oil yield by taking the water content in the production data as a vertical coordinate and the accumulated oil yield as a horizontal coordinate, and performing nonlinear regression fitting on the water content and the accumulated oil yield data to obtain an accumulated oil yield and water content mathematical model matched with the oil field;
and 3, determining the recoverable reserves of the crude oil of the water drive reservoir according to the mathematical model of the accumulated oil production and the water content.
2. The method of claim 1, wherein the production data in step 1 includes annual oil production, cumulative fluid production, and moisture content data.
3. The method of claim 2, wherein the production data in step 1 includes cumulative oil production and water cut.
4. The method of claim 1, wherein in the step 2, a relation graph between the water content and the accumulated oil yield is drawn by taking the water content as an ordinate and the accumulated oil yield as an abscissa, and nonlinear regression fitting is performed on the water content and the accumulated oil yield data according to the following formula 9 to obtain an accumulated oil yield and water content mathematical model matched with the oil field;
in formula 9: f. ofwThe water content of the oil field; f. ofw0The initial water content of the oil field; f. ofwLThe ultimate water content of the oil field; n is a radical ofpThe unit is ten thousand tons or ton for the oil field accumulated oil production; n is a radical ofp0The water content of the oil field is fw0The cumulative oil production per hour is ten thousand tons or ton; n is a radical ofptThe water content of the oil field is fwLThe cumulative oil production in time is in units of ten thousand tons or tons.
5. The method of claim 1, wherein in step 3, the determining the recoverable crude oil reserve of the water-drive reservoir according to the mathematical model of the cumulative oil production and the water cut comprises:
and when the accumulated oil yield and the water content in the water content mathematical model are the limit water content, the corresponding oil field accumulated oil yield in the accumulated oil yield and water content mathematical model is the crude oil recoverable reserve of the water-drive reservoir.
6. The method of claim 1, further comprising: and establishing curve plates of the cumulative oil yield and the water content under different crude oil recoverable reserves according to the mathematical model of the cumulative oil yield and the water content.
7. An apparatus for predicting crude oil recoverable reserves of a water-drive reservoir, the apparatus comprising:
the data collection module is used for determining the exploitation mode and the geological characteristics of the oil field and collecting historical production data in the development of the oil field;
the data fitting and model establishing module is used for drawing a relation graph between the water content and the accumulated oil yield by taking the water content in the production data as a vertical coordinate and the accumulated oil yield as a horizontal coordinate, and performing nonlinear regression fitting on the water content and the accumulated oil yield data to obtain an accumulated oil yield and water content mathematical model matched with the oil field;
and the crude oil recoverable reserve determining module is used for determining the crude oil recoverable reserve of the water drive reservoir according to the accumulated oil yield and water ratio mathematical model.
8. The apparatus of claim 7, wherein the production data includes annual oil production, cumulative fluid production, and moisture content data.
9. The apparatus of claim 8, wherein the production data includes cumulative oil production and water cut.
10. The apparatus of claim 7, wherein the data fitting and model building module is specifically configured to:
drawing a relation graph between the water content and the accumulated oil yield by taking the water content as a vertical coordinate and the accumulated oil yield as a horizontal coordinate, and carrying out nonlinear regression fitting on the water content and the accumulated oil yield data according to the following formula 9 to obtain an accumulated oil yield and water content mathematical model matched with the oil field;
in formula 9: f. ofwThe water content of the oil field; f. ofw0The initial water content of the oil field; f. ofwLThe ultimate water content of the oil field; n is a radical ofpThe unit is ten thousand tons or ton for the oil field accumulated oil production; n is a radical ofp0The water content of the oil field is fw0The cumulative oil production per hour is ten thousand tons or ton; n is a radical ofptThe water content of the oil field is fwLThe cumulative oil production in time is in units of ten thousand tons or tons.
11. The apparatus of claim 7, wherein the crude oil recoverable reserve determining module is specifically configured to:
and when the accumulated oil yield and the water content in the water content mathematical model are the limit water content, the corresponding oil field accumulated oil yield in the accumulated oil yield and water content mathematical model is the crude oil recoverable reserve of the water-drive reservoir.
12. The apparatus of claim 7, further comprising a plate creation module, specifically configured to:
and establishing curve plates of the cumulative oil yield and the water content under different crude oil recoverable reserves according to the mathematical model of the cumulative oil yield and the water content.
13. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the computer program implements the method of predicting crude oil recoverable storage capacity of a water drive reservoir of any of claims 1 to 6.
14. A computer readable storage medium storing a computer program for performing the method of predicting crude oil recoverable reserves of water-flooding reservoirs of any one of claims 1 to 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910588032.0A CN112183800B (en) | 2019-07-02 | 2019-07-02 | Method and device for predicting recoverable reserves of crude oil of water-drive reservoir |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910588032.0A CN112183800B (en) | 2019-07-02 | 2019-07-02 | Method and device for predicting recoverable reserves of crude oil of water-drive reservoir |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112183800A true CN112183800A (en) | 2021-01-05 |
| CN112183800B CN112183800B (en) | 2024-03-26 |
Family
ID=73914863
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910588032.0A Active CN112183800B (en) | 2019-07-02 | 2019-07-02 | Method and device for predicting recoverable reserves of crude oil of water-drive reservoir |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112183800B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112819247A (en) * | 2021-02-25 | 2021-05-18 | 中国石油大学(北京) | Prediction analysis system and prediction method for oilfield development index |
| CN113269354A (en) * | 2021-05-08 | 2021-08-17 | 中国海洋石油集团有限公司 | Actual recoverable reserves prediction method for oil reservoirs of different water drive types |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105225019A (en) * | 2015-11-11 | 2016-01-06 | 四川建筑职业技术学院 | Ultra-high water cut stage cumulative oil production and Forecasting method for enhancing oil recovery |
| US20160376885A1 (en) * | 2015-06-23 | 2016-12-29 | Petrochina Company Limited | Method and Apparatus for Performance Prediction of Multi-Layered Oil Reservoirs |
| 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 |
| CN108920781A (en) * | 2018-06-14 | 2018-11-30 | 中国石油天然气股份有限公司 | A kind of determination method and apparatus of oil reservoir moisture percentage and water_bearing escalating rate |
-
2019
- 2019-07-02 CN CN201910588032.0A patent/CN112183800B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160376885A1 (en) * | 2015-06-23 | 2016-12-29 | Petrochina Company Limited | Method and Apparatus for Performance Prediction of Multi-Layered Oil Reservoirs |
| CN105225019A (en) * | 2015-11-11 | 2016-01-06 | 四川建筑职业技术学院 | Ultra-high water cut stage cumulative oil production and Forecasting method for enhancing oil recovery |
| 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 |
| CN108920781A (en) * | 2018-06-14 | 2018-11-30 | 中国石油天然气股份有限公司 | A kind of determination method and apparatus of oil reservoir moisture percentage and water_bearing escalating rate |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112819247A (en) * | 2021-02-25 | 2021-05-18 | 中国石油大学(北京) | Prediction analysis system and prediction method for oilfield development index |
| CN112819247B (en) * | 2021-02-25 | 2024-01-19 | 中国石油大学(北京) | Prediction analysis system and prediction method for oilfield development index |
| CN113269354A (en) * | 2021-05-08 | 2021-08-17 | 中国海洋石油集团有限公司 | Actual recoverable reserves prediction method for oil reservoirs of different water drive types |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112183800B (en) | 2024-03-26 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107977749B (en) | Prediction analysis method for oil field development index | |
| CN106204304B (en) | A kind of poly- determination method for driving permeability saturation curve of Conglomerate Reservoir | |
| CN109858701B (en) | Quantitative identification method and system for water invasion of fractured edge water-gas reservoir | |
| CN109034447A (en) | A kind of prediction technique and device of the variation of water-drive pool water_bearing escalating rate | |
| JP6900480B2 (en) | How to determine the maximum permissible amount of water that can be pumped from a groundwater source over time | |
| CN106202673B (en) | Determine the method and device of oil reservoir moisture percentage and oily recovery percent of reserves relationship | |
| CN103912248A (en) | Method for predicting water contents of water-drive oilfields | |
| CN112183800A (en) | Method and device for predicting recoverable reserves of crude oil in water-drive reservoir | |
| CN108150160A (en) | The acquiring method of low compaction superpressure in a kind of stratum | |
| CN106337679A (en) | Novel method for measuring and calculating well pattern thickening potential | |
| CN111157346A (en) | Analysis system and method for design and correction of water curtain system of underground water-sealed oil storage | |
| CN112131704A (en) | Method for estimating reservoir of oil layer and predicting saturation of residual oil | |
| CN106014365B (en) | A method of prediction waterflooding development Production Decline Prediction of Oilfield rate | |
| CN106447513A (en) | Evaluation method of usage status of reservoir flooding water | |
| CN109918769A (en) | Utilize the method for instantaneous equation calculation fracture-pore reservoir unstable state water enchroachment (invasion) water influx | |
| CN106203699A (en) | A kind of Forecasting Methodology of the initial flow conductivity in coarse crack | |
| CN112949901A (en) | Shale oil reservoir horizontal well quasi-natural energy development method and system | |
| CN110863814A (en) | Method and device for determining single-well subsection specific fluid production index of ultra-thick type cuttings limestone oil reservoir | |
| CN113076620B (en) | Water drive recoverable reserve determining method and device | |
| CN110410044B (en) | Block oil yield calculation method under gas drive CO2 and N2 development mode | |
| RU2559247C1 (en) | Express method to determine characteristics of bottomhole zone in stripped wells used for well completion and system for its implementation | |
| CN112127877B (en) | Method, device, equipment and storage medium for predicting dynamic reserve of oil well | |
| Yang | The sediment yield of south Korean rivers | |
| CN111008775A (en) | Useful work simplified calculation method based on different compositions of mine field | |
| Old Jr | Analysis of Reservoir Performance |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |