CN112287279A - Residual oil prediction method and device - Google Patents

Residual oil prediction method and device Download PDF

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CN112287279A
CN112287279A CN202011030748.8A CN202011030748A CN112287279A CN 112287279 A CN112287279 A CN 112287279A CN 202011030748 A CN202011030748 A CN 202011030748A CN 112287279 A CN112287279 A CN 112287279A
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徐萍
郭伦
李勇
孙长江
陈东明
孟凡秋
朱婵
郭秀文
黄祥光
郑永红
满安静
张帅迁
葛艳阳
张维祎
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Abstract

The invention discloses a residual oil prediction method and a residual oil prediction device, wherein the method comprises the following steps: creating a geological map aiming at each development layer system of a preset work area, wherein the geological map comprises a stratigraphic structure, an oil layer equal-thickness map and a sedimentary microphase map; stacking the geological maps of the plurality of development strata so as to obtain a geological comprehensive map; marking the production actual measurement data of the preset work area on a geological comprehensive map by taking an oil well and a water well of the preset work area as objects; marking on the geological comprehensive map according to the water content of the oil well in the preset work area to form a flooding map; converting the water content of the oil well into the oil saturation of the oil well, and converting a flooding map into a residual oil two-dimensional distribution map according to the oil saturation of the oil well; and predicting the residual oil in the preset work area by using the two-dimensional distribution map of the residual oil. The method can intuitively predict the residual oil in the preset work area by utilizing the two-dimensional distribution map of the residual oil, and the accuracy of the residual oil distribution prediction is higher.

Description

Residual oil prediction method and device
Technical Field
The invention relates to the technical field of oil and gas field development, in particular to a residual oil prediction method and a residual oil prediction device.
Background
After natural energy development, water flooding development (secondary oil recovery) and even tertiary oil recovery (chemical flooding), crude oil remained underground still occupies a large proportion, and in many cases, the proportion is even comparable to the accumulated oil yield, but the average proportion of the residual oil is close to one third of the original geological reserve of the crude oil and the two-dimensional distribution of the residual oil is influenced by factors such as oil reservoir heterogeneity, shielding of fracture systems of all levels, structural fluctuation change, micro-phase deposition, long-term injection and production well distance and the like after long-term water flooding development, the distribution position is very complicated, and the method is not only reflected in the vertical direction, but also reflected on the plane.
The existing method for researching the two-dimensional distribution of the residual oil mainly comprises a mathematical statistics method, a numerical simulation method, a dynamic method, a rock core analysis method, a well logging method, a water flooding characteristic curve method, a substance balance method and the like, particularly provides an advanced means for researching the two-dimensional distribution of the residual oil by using an oil field dynamic monitoring technology, but the oil fields which are put into development have different mining histories, and have different and complicated geological conditions, and a single research method usually has the defects of incomplete dynamic monitoring data of the oil field due to the complexity of geology and development and more restricted factors of data recording in the oil field development process, has lower accuracy of prediction of the residual oil distribution, and influences the accuracy of the final research result.
Disclosure of Invention
The embodiment of the invention provides a residual oil prediction method, which is used for predicting residual oil in a preset work area by intuitively using a residual oil two-dimensional distribution map, and the residual oil distribution prediction accuracy is higher, and the method comprises the following steps:
creating a geological map for each development layer system of a preset work area, wherein the geological map comprises a stratigraphic structure, an oil layer equal-thickness map and a sedimentary microphase map;
stacking the geological maps of the plurality of development strata so as to obtain a geological comprehensive map;
marking the production actual measurement data of a preset work area on the geological comprehensive map by taking an oil well and a water well of the preset work area as objects;
marking the geological comprehensive graph according to the water content of an oil well in a preset work area to form a flooding graph;
converting the water content of the oil well into the oil saturation of the oil well, and converting the flooding map into a residual oil two-dimensional distribution map according to the oil saturation of the oil well;
and predicting the residual oil in the preset work area by using the two-dimensional distribution map of the residual oil.
The embodiment of the invention also provides a residual oil prediction device, which is used for predicting residual oil in a preset working area by intuitively using the residual oil two-dimensional distribution map, and the residual oil distribution prediction accuracy is higher, and the device comprises:
the geological map creating module is used for creating a geological map for each development layer system of a preset work area, and the geological map comprises a stratigraphic structure map, an oil layer equal-thickness map and a sedimentary microphase map;
the geological comprehensive map acquisition module is used for performing superposition processing on geological maps of a plurality of development bed series to acquire a geological comprehensive map;
the identification module is used for identifying the production actual measurement data of the preset work area on the geological comprehensive map by taking an oil well and a water well of the preset work area as objects;
the water flooded graph acquisition module is used for marking the geological comprehensive graph according to the water content of an oil well in a preset work area to form a water flooded graph;
the residual oil two-dimensional distribution diagram acquisition module is used for converting the water content of the oil well into the oil saturation of the oil well and converting the flooding diagram into the residual oil two-dimensional distribution diagram according to the oil saturation of the oil well;
and the residual oil prediction module is used for predicting the residual oil in the preset work area by utilizing the residual oil two-dimensional distribution map.
The embodiment of 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, and the processor implements the method when executing the computer program.
An embodiment of the present invention further provides a computer-readable storage medium, in which a computer program for executing the above method is stored.
In the embodiment of the invention, the geological map is created for each development layer system of the preset work area, the geological maps of a plurality of development layer systems are superposed to obtain the geological comprehensive map, the oil wells and the water wells of the preset work area are taken as objects, and the production measured data of the preset work area is marked on the geological comprehensive map, so that the combination of the geological comprehensive map and the production measured data of the preset work area, namely the combination of static data and dynamic data, is realized. The method comprises the steps of marking the geological comprehensive graph according to the water content of an oil well in a preset work area to form a water-logging graph, converting the water content of the oil well into the oil saturation of the oil well, converting the water-logging graph into a residual oil two-dimensional distribution graph according to the oil saturation of the oil well, and predicting residual oil in the preset work area by the residual oil two-dimensional distribution graph intuitively, wherein the residual oil distribution prediction accuracy is high.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts. In the drawings:
FIG. 1 is a flow chart of a method for predicting remaining oil in an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of a remaining oil prediction apparatus according to an embodiment of the present invention;
FIG. 3 is a diagram illustrating an exemplary two-dimensional distribution of remaining oil in an embodiment of the present invention;
FIG. 4 is an exemplary graph of a relative permeability of oil and water according to an embodiment of the present disclosure;
FIG. 5 is an exemplary graph of a water cut versus water saturation curve in an embodiment of the present invention;
FIG. 6 is a diagram of a computer device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the embodiments of the present invention are further described in detail below with reference to the accompanying drawings. The exemplary embodiments and descriptions of the present invention are provided to explain the present invention, but not to limit the present invention.
Fig. 1 is a flowchart of a remaining oil prediction method according to an embodiment of the present invention, as shown in fig. 1, the method includes:
step 101, creating a geological map for each development layer system of a preset work area, wherein the geological map comprises a stratigraphic structure, an oil layer equal-thickness map and a sedimentary microphase map.
In the embodiment, the stratigraphic structure diagram comprises structure contour lines, faults and other structural elements of a mark layer surface such as a top surface or a bottom surface, and represents the reservoir space distribution form and the formation sequence. According to the requirements of data and research precision, the contour line can be a structural diagram of a small layer or an oil sand body and the like, and the contour line precision is below 5 meters.
The oil layer equal thickness map comprises an oil layer thickness equal value map of the oil reservoir corresponding to the structural map, and reflects the change of the effective thickness of the oil layer in different areas.
The sedimentary microphase diagram comprises a sedimentary feature diagram with unique rock structure, thickness, prosody and other sections in the sedimentary subphase belt range.
And 102, overlapping the geological maps of the plurality of developed bed series to obtain a geological comprehensive map.
In specific implementation, the geological maps of a plurality of development layer series can be superposed by taking the well positions of the plurality of development layer series as base points to obtain a geological comprehensive map.
And 103, marking the production actual measurement data of the preset work area on the geological comprehensive map by taking the oil well and the water well of the preset work area as objects.
In an embodiment, the pre-set measured production data of the work area includes: daily oil yield, daily water yield, water content, cumulative oil yield, cumulative water-oil ratio, cumulative water injection rate of the water injection well, and the like. Specifically, the data can be identified on the geological map in the form of cylinder length or sector size. As shown in fig. 3, the lower semi-circle represents daily oil production, daily water production, or daily water injection of the oil production well, the upper semi-circle represents cumulative oil production, cumulative water production, or cumulative water injection of the oil production well, and the area size represents the numerical value.
For a homogeneous reservoir, the water flooding spread of the injection well may be determined using the following equation:
Figure BDA0002703544560000041
in the formula: r is water flooding radius of water injection well, WiIn order to accumulate water injection, H is the effective thickness of the oil reservoir and phi is the porosity of the oil reservoir.
And 104, marking on the geological comprehensive map according to the water content of the oil well in the preset work area to form a flooding map.
In an embodiment, identifying the geological map according to the water content of the oil wells in the preset work area to form a flooding map comprises:
determining a plurality of flooding strength levels according to the water content of an oil well in a preset work area;
and marking on the geological comprehensive map according to the multiple flooding intensity levels, and forming the flooding map by taking the flooding intensity levels as boundaries.
In specific implementation, the water flooding map can be made by taking an oil well and a water well as a single well as a marking analysis basis, taking an injection and production well group as a unit, taking a broken block boundary as a plane boundary, taking a sandstone group, a small layer or an oil sand body as a longitudinal boundary and taking a strong-medium weak-non-water flooding area range as a definition. Specifically, the water content of the oil well can be divided into five grades of 100%, 90% -100%, 60% -90%, 20% -60% and 0-20%, namely, five different flooding ranges of strong-medium weak-none are defined.
And 105, converting the water content of the oil well into the oil saturation of the oil well, and converting the flooding map into a two-dimensional distribution map of the residual oil according to the oil saturation of the oil well.
In the process of constructing the two-dimensional residual oil distribution map, the traditional manual analysis method can be used for superposing through a transparent table, geological maps such as a multi-well comprehensive analysis and DISCOVER can be used for superposing geological maps such as a stratum structure, oil layer thickness and sediment micro-phase through layers, the water injection amount, the oil production amount and the water content can be manually marked, single-well dynamic data can be directly marked through software, the flooding level limit can be manually interpolated, and an oil-containing saturation (residual oil saturation) contour line can be calculated and generated through software. And for the size of the residual oil two-dimensional distribution diagram, determining the size of the residual oil two-dimensional distribution diagram according to the scaling conversion of the drawing and the actual oil field, such as 1: 25000. When the water-flooding distance adjusting device is specifically applied, on the basis, the water-flooding distance can be adjusted according to the communication condition of the water injection well and the oil production well, the water content of the oil production well and the water absorption and liquid production test result.
Specifically, the water saturation Sw under the current water content condition of the corresponding oil well can be reversely deduced according to the oil field phase permeability curve and the relation between the relative permeability and the water saturation, and then the oil saturation is deduced according to the water saturation, which is as follows:
assuming that only two oil and water phases exist in the reservoir, So+Sw=1
The leading edge water saturation is:
Figure BDA0002703544560000042
leading edge oil saturation:
Figure BDA0002703544560000043
where So is the residual oil saturation and Sw is the water saturation. Specifically, the oil-water relative permeability curve can be seen in figure 4, and the water content and water saturation relation curve can be seen in figure 5.
When the water content is 100%, So is the residual oil saturation; when the water content is 90-100%, So is the medium-low oil saturation; when the water content is 60-90%, the So is the medium-high oil saturation; when the water content is 20-60%, So is high oil saturation; when the water content is less than 20%, So is the original saturation, and the two-dimensional distribution of the residual oil is mainly distributed in the region above the medium-high oil saturation level, So that the residual oil in the preset work area can be predicted.
And 106, predicting the residual oil in the preset work area by using the two-dimensional distribution map of the residual oil.
In the embodiment, as the oil field is further developed, the dynamic data is continuously updated and changed, and the oil saturation areas of different levels are changed. The water drive is more and more sufficient, the higher the water saturation is, the lower the oil saturation is, the more the two-dimensional distribution area of the residual oil in the area from the middle-high oil saturation to the high oil saturation is gradually reduced, and the two-dimensional distribution area of the residual oil is more dispersed.
As can be seen from fig. 1, in the method for predicting remaining oil provided in the embodiment of the present invention, a geological map is created for each development layer system of the preset work area, the geological maps of a plurality of development layer systems are overlaid to obtain a geological map, and the actual measurement data of the preset work area is identified on the geological map with the oil well and the water well of the preset work area as objects, so that the combination of the geological map and the actual measurement data of the preset work area, that is, the combination of static data and dynamic data is realized. The method comprises the steps of marking the geological comprehensive graph according to the water content of an oil well in a preset work area to form a water-logging graph, converting the water content of the oil well into the oil saturation of the oil well, converting the water-logging graph into a residual oil two-dimensional distribution graph according to the oil saturation of the oil well, and predicting residual oil in the preset work area by the residual oil two-dimensional distribution graph intuitively, wherein the residual oil distribution prediction accuracy is high.
In the embodiment of the present invention, since some single wells in the preset work area are co-production and co-injection, in order to ensure the accuracy of the subsequent identification on the geological map, before the production measured data of the preset work area is identified on the geological map by using the oil wells and the water wells of the preset work area as objects, the method further includes:
splitting the co-production and co-injection single well actual measurement data to a target layer according to water absorption profile test data and liquid production profile test data of a single well in a preset work area;
the oil well and the water well of the preset work area are used as objects, and the production actual measurement data of the preset work area are marked on the geological comprehensive map, and the method comprises the following steps:
and taking an oil well and a water well of a preset work area as objects, and identifying the production actual measurement data of the preset work area or the actual measurement data split to the target layer on the geological comprehensive map.
Based on the same inventive concept, the embodiment of the present invention further provides a residual oil prediction device, as described in the following embodiments. Because the principle of the residual oil prediction device for solving the problems is similar to that of the residual oil prediction method, the implementation of the residual oil prediction device can refer to the implementation of the residual oil prediction method, and repeated parts are not described again. As used hereinafter, the term "unit" or "module" may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.
Fig. 2 is a schematic structural diagram of a remaining oil prediction apparatus according to an embodiment of the present invention, and as shown in fig. 2, the apparatus includes:
the geological map creating module 201 is used for creating a geological map for each development layer system of a preset work area, wherein the geological map comprises a stratigraphic structure, an oil layer equal-thickness map and a sedimentary microphase map;
the geological comprehensive map acquisition module 202 is used for performing superposition processing on geological maps of a plurality of development strata so as to acquire a geological comprehensive map;
the identification module 203 is used for identifying the production measured data of the preset work area on the geological comprehensive map by taking an oil well and a water well of the preset work area as objects;
the flooding map acquisition module 204 is used for identifying the geological comprehensive map according to the water content of the oil wells in the preset work area to form a flooding map;
a residual oil two-dimensional distribution diagram obtaining module 205, configured to convert the water content of the oil well into an oil saturation of the oil well, and convert the flooding diagram into a residual oil two-dimensional distribution diagram according to the oil saturation of the oil well;
and the residual oil prediction module 206 is used for predicting the residual oil in the preset work area by using the residual oil two-dimensional distribution map.
In an embodiment of the present invention, the apparatus further includes:
the data splitting module is used for splitting the single well actual measurement data of the co-production and co-injection to a target layer according to the water absorption profile test data and the liquid production profile test data of the single well in the preset work area;
the identification module 203 is further configured to:
and taking an oil well and a water well of a preset work area as objects, and identifying the production actual measurement data of the preset work area or the actual measurement data split to the target layer on the geological comprehensive map.
In the embodiment of the present invention, the flooding map acquiring module is further configured to:
determining a plurality of flooding strength levels according to the water content of an oil well in a preset work area;
and identifying on the geological comprehensive map according to a plurality of flooding intensity levels to form a flooding map.
In an embodiment of the present invention, the measured production data of the preset work area includes: and presetting the daily oil yield, the daily water yield, the accumulated oil yield and the accumulated water injection amount of the single well in the work area.
To achieve the above object, according to another aspect of the present application, there is also provided a computer apparatus. As shown in fig. 6, the computer device comprises a memory, a processor, a communication interface and a communication bus, wherein a computer program that can be run on the processor is stored in the memory, and the steps of the method of the above embodiment are realized when the processor executes the computer program.
The processor may be a Central Processing Unit (CPU). The Processor may also be other general purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, or a combination thereof.
The memory, which is a non-transitory computer readable storage medium, may be used to store non-transitory software programs, non-transitory computer executable programs, and units, such as the corresponding program units in the above-described method embodiments of the present invention. The processor executes various functional applications of the processor and the processing of the work data by executing the non-transitory software programs, instructions and modules stored in the memory, that is, the method in the above method embodiment is realized.
The memory may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created by the processor, and the like. Further, the memory may include high speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory optionally includes memory located remotely from the processor, and such remote memory may be coupled to the processor via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The one or more units are stored in the memory and when executed by the processor perform the method of the above embodiments.
An embodiment of the present invention further provides a computer-readable storage medium, in which a computer program for executing the above method is stored.
In summary, the invention creates a geological map for each development layer system of the preset work area, superimposes the geological maps of the plurality of development layer systems to obtain a geological comprehensive map, and marks the actual measurement data of the preset work area on the geological comprehensive map by taking the oil well and the water well of the preset work area as objects, so as to realize the combination of the geological comprehensive map and the actual measurement data of the preset work area, i.e. the combination of static data and dynamic data, wherein the static data can guide development decisions for the research basis, and the dynamic data can verify the geological research result. The method comprises the steps of marking the geological comprehensive graph according to the water content of an oil well in a preset work area to form a water-logging graph, converting the water content of the oil well into the oil saturation of the oil well, converting the water-logging graph into a residual oil two-dimensional distribution graph according to the oil saturation of the oil well, and predicting residual oil in the preset work area by the residual oil two-dimensional distribution graph intuitively, wherein the residual oil distribution prediction accuracy is high.
In addition, the method is different from a core analysis method, a logging method and the like, the static-dynamic coupling residual oil two-dimensional distribution prediction method is a low-cost, low-time-delay, traceable and multi-angle residual oil two-dimensional distribution research means, can fully utilize oil deposit fine description data and various production data recorded by an oil-water well in the drilling, oil testing and production processes, such as well electrical logging interpretation data, production fluid and water absorption profile data of the oil-water well, water finding and plugging data of a high-water-content well and the like, comprehensively analyzes the oil-water distribution and the movement rule on the oil layer plane and the longitudinal direction, and determines the two-dimensional distribution area of the water logging and the residual oil.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
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-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are only exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.

Claims (10)

1. A method for predicting remaining oil, comprising:
creating a geological map for each development layer system of a preset work area, wherein the geological map comprises a stratigraphic structure, an oil layer equal-thickness map and a sedimentary microphase map;
stacking the geological maps of the plurality of development strata so as to obtain a geological comprehensive map;
marking the production actual measurement data of a preset work area on the geological comprehensive map by taking an oil well and a water well of the preset work area as objects;
marking the geological comprehensive graph according to the water content of an oil well in a preset work area to form a flooding graph;
converting the water content of the oil well into the oil saturation of the oil well, and converting the flooding map into a residual oil two-dimensional distribution map according to the oil saturation of the oil well;
and predicting the residual oil in the preset work area by using the two-dimensional distribution map of the residual oil.
2. The method of claim 1, wherein the method further comprises, before identifying the measured production data of a predetermined work area on the geosynthetic map for a predetermined work area of oil and water wells, the method further comprising:
splitting the co-production and co-injection single well actual measurement data to a target layer according to water absorption profile test data and liquid production profile test data of a single well in a preset work area;
the oil well and the water well of the preset work area are used as objects, and the production actual measurement data of the preset work area are marked on the geological comprehensive map, and the method comprises the following steps:
and taking an oil well and a water well of a preset work area as objects, and identifying the production actual measurement data of the preset work area or the actual measurement data split to the target layer on the geological comprehensive map.
3. The method of claim 1, wherein identifying the geosynthetic map based on the moisture content of the wells of the predetermined work area to form a flooding map comprises:
determining a plurality of flooding strength levels according to the water content of an oil well in a preset work area;
and marking on the geological comprehensive map according to the multiple flooding intensity levels, and forming the flooding map by taking the flooding intensity levels as boundaries.
4. The method of claim 1, wherein the pre-determined work area production measurements comprise: and presetting the daily oil yield, the daily water yield, the cumulative oil yield, the cumulative water yield and the cumulative water injection of a single well in the work area.
5. A residual oil prediction device, comprising:
the geological map creating module is used for creating a geological map for each development layer system of a preset work area, and the geological map comprises a stratigraphic structure map, an oil layer equal-thickness map and a sedimentary microphase map;
the geological comprehensive map acquisition module is used for performing superposition processing on geological maps of a plurality of development bed series to acquire a geological comprehensive map;
the identification module is used for identifying the production actual measurement data of the preset work area on the geological comprehensive map by taking an oil well and a water well of the preset work area as objects;
the water flooded graph acquisition module is used for marking the geological comprehensive graph according to the water content of an oil well in a preset work area to form a water flooded graph;
the residual oil two-dimensional distribution diagram acquisition module is used for converting the water content of the oil well into the oil saturation of the oil well and converting the flooding diagram into the residual oil two-dimensional distribution diagram according to the oil saturation of the oil well;
and the residual oil prediction module is used for predicting the residual oil in the preset work area by utilizing the residual oil two-dimensional distribution map.
6. The apparatus of claim 5, wherein the apparatus further comprises:
the data splitting module is used for splitting the single well actual measurement data of the co-production and co-injection to a target layer according to the water absorption profile test data and the liquid production profile test data of the single well in the preset work area;
the identification module is further to:
and taking an oil well and a water well of a preset work area as objects, and identifying the production actual measurement data of the preset work area or the actual measurement data split to the target layer on the geological comprehensive map.
7. The apparatus of claim 5, wherein the flood acquisition module is further to:
determining a plurality of flooding strength levels according to the water content of an oil well in a preset work area;
and identifying on the geological comprehensive map according to a plurality of flooding intensity levels to form a flooding map.
8. The apparatus of claim 5, wherein the pre-determined work area production measurements comprise: and presetting the daily oil yield, the daily water yield, the cumulative oil yield, the cumulative water yield and the cumulative water injection of a single well in the work area.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of any one of claims 1 to 4 when executing the computer program.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program for executing the method of any one of claims 1 to 4.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113283648A (en) * 2021-05-25 2021-08-20 中国石油化工股份有限公司 Prediction method for residual oil in high-water-content old area

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104453834A (en) * 2014-10-31 2015-03-25 中国石油化工股份有限公司 Injection-production relation optimizing and adjusting method for well group
CN106812508A (en) * 2015-12-01 2017-06-09 中国石油化工股份有限公司 Well concocting method based on multifactor raising offshore oilfield interlayer use rate
CN106894814A (en) * 2017-02-15 2017-06-27 中国石油化工股份有限公司胜利油田分公司勘探开发研究院 The method for quickly identifying of the secondary enrichment of Complex Fault Block Oil Reservoir late high water content period remaining oil
CA3046972A1 (en) * 2016-12-14 2018-06-21 Michael Smith Methods and devices for evaluating the contents of materials
CN110130882A (en) * 2019-01-25 2019-08-16 中国石油天然气集团有限公司 A kind of oil reservoir region evaluation method based on well logging test data
CN111173507A (en) * 2020-03-17 2020-05-19 中国石油化工股份有限公司 High-water-cut oil field residual oil prediction method

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104453834A (en) * 2014-10-31 2015-03-25 中国石油化工股份有限公司 Injection-production relation optimizing and adjusting method for well group
CN106812508A (en) * 2015-12-01 2017-06-09 中国石油化工股份有限公司 Well concocting method based on multifactor raising offshore oilfield interlayer use rate
CA3046972A1 (en) * 2016-12-14 2018-06-21 Michael Smith Methods and devices for evaluating the contents of materials
CN106894814A (en) * 2017-02-15 2017-06-27 中国石油化工股份有限公司胜利油田分公司勘探开发研究院 The method for quickly identifying of the secondary enrichment of Complex Fault Block Oil Reservoir late high water content period remaining oil
CN110130882A (en) * 2019-01-25 2019-08-16 中国石油天然气集团有限公司 A kind of oil reservoir region evaluation method based on well logging test data
CN111173507A (en) * 2020-03-17 2020-05-19 中国石油化工股份有限公司 High-water-cut oil field residual oil prediction method

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113283648A (en) * 2021-05-25 2021-08-20 中国石油化工股份有限公司 Prediction method for residual oil in high-water-content old area
CN113283648B (en) * 2021-05-25 2024-05-14 中国石油化工股份有限公司 Prediction method suitable for high-water-content old-area residual oil

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