CN108090656B - Method and device for determining sand body connectivity - Google Patents
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Abstract
The embodiment of the application discloses a method and a device for determining sand body connectivity. The method provides first geological parameter information of a first single sand body and second geological parameter information of a second single sand body in a destination work area, and multiple standard indexes corresponding to specified connectivity levels; the method comprises the following steps: respectively determining membership degree relations between each standard index and each specified connectivity grade; setting a weight matrix corresponding to the standard indexes according to the standard indexes, and respectively determining the target weight value of each standard index in the weight matrix; and determining a target index and a target index parameter value according to the first geological parameter information and the second geological parameter information, and determining sand body connectivity between the first single sand body and the second single sand body according to the target index parameter value, the target weight value and the membership degree relation of the standard index. The technical scheme provided by the embodiment of the application can realize high-efficiency and accurate determination of the sand body connectivity.
Description
Technical Field
The application relates to the technical field of sand body connectivity evaluation in oil reservoir description, in particular to a method and a device for determining sand body connectivity.
Background
The reservoir sand body connectivity generally refers to the mode and the degree of mutual contact and communication of the cause unit sand bodies in the vertical direction and the lateral direction, and is an important factor influencing the development of oil and gas fields. In the development process of oil and gas fields, the deployment of injection and production well patterns, the selection of development modes, the excavation and submergence of later-stage residual oil and the like are required to be established on the basis of certain reservoir sand body connectivity analysis. However, the sand bodies of the underground reservoir are generally distributed in a complex manner and have strong heterogeneity, particularly the sand bodies of river facies are cut and overlapped with each other due to frequent change of the river channel, the communication condition of the sand bodies of each river channel is very complex, and the difficulty in predicting the connectivity of the sand bodies is often high.
Most of the traditional sand body connectivity analysis methods at present judge the communication conditions among various sand bodies through comprehensive analysis of the deposition type, the development degree and scale of the sand bodies and the phase change contact relationship, but the methods are often complicated and are not satisfactory when facing a large-area work area. Some scholars at home and abroad make sand body connectivity evaluation studies, such as Allen (1979) and Horhondrian (1987) determine the connectivity of sand bodies through a critical value of riverway sandstone density. However, there are many factors affecting the sand connectivity of the river, and when a plurality of factors are considered simultaneously, it is difficult to evaluate the sand connectivity efficiently and accurately.
Disclosure of Invention
The embodiment of the application aims to provide a method and a device for determining sand body connectivity, so that the sand body connectivity can be determined efficiently and accurately.
In order to solve the above technical problem, embodiments of the present application provide a method and an apparatus for determining sand body connectivity, which are implemented as follows:
a method for determining the connectivity of sand bodies provides first geological parameter information of a first single sand body and second geological parameter information of a second single sand body in a destination work area, and multiple standard indexes corresponding to specified connectivity levels; the method comprises the following steps:
respectively determining membership degree relations between each standard index and each appointed connectivity grade;
setting a weight matrix corresponding to the standard indexes according to the standard indexes, and respectively determining a target weight value of each standard index in the weight matrix;
and determining a target index and a target index parameter value according to the first geological parameter information and the second geological parameter information, and determining sand body connectivity between the first single sand body and the second single sand body according to the target index parameter value, the target weight value of the standard index and the membership relation.
In a preferred scheme, the first single sand body and the second single sand body are two laterally adjacent single sand bodies located in the same deposition time unit in the target work area.
In a preferred embodiment, the determining the sand body connectivity between the first single sand body and the second single sand body according to the target index parameter value, the target weight value of the standard index, and the membership relation includes:
respectively calculating the fitness value of each specified connectivity level according to the target index parameter value, the target weight value of the standard index and the membership relation;
and taking the specified connectivity grade corresponding to the maximum adaptability value as the sand body connectivity grade between the first single sand body and the second single sand body.
In a preferred embodiment, the calculating the fitness value of each designated connectivity level according to the target index parameter value, the target weight value of the standard index, and the membership relationship includes:
respectively determining the membership degree of each target index to each appointed connectivity grade according to the target index parameter value and the membership degree relation;
obtaining a target weight value of the target index from the target weight values of the standard indexes;
and respectively calculating the adaptability value of each designated connectivity grade according to the membership of each target index to each designated connectivity grade and the target weight value of each target index.
In a preferred embodiment, the following formula is adopted to calculate the fitness value of each specified connectivity level respectively:
wherein, B m An fitness value, w, representing an mth one of the plurality of designated connectivity levels i A weight value, μ, representing the ith index of the target indexes im And the membership degree of the ith index to the mth specified connectivity level in the target indexes is represented, and n represents the number of the indexes of the target indexes.
In a preferred embodiment, the target index is a part of or all of the standard indexes.
In a preferred embodiment, the determining the target weight value of each standard indicator in the weight matrix respectively includes:
determining a matrix value of the weight matrix according to each standard index in the weight matrix corresponding to the standard index;
respectively determining the weight value corresponding to each standard index according to the matrix value of the weight matrix;
verifying the weight values corresponding to the standard indexes to obtain verification results corresponding to the standard indexes;
when the verification result corresponding to the standard index does not pass the verification, re-determining the matrix value of the weight matrix corresponding to the standard index until the verification result corresponding to the standard index passes the verification, and respectively taking the weight value corresponding to each standard layer index passing the verification as the target weight value of each standard index.
In a preferred embodiment, the determining a matrix value of the weight matrix according to each standard index in the weight matrix corresponding to the standard index includes:
comparing the standard indexes pairwise to obtain a comparison result;
and determining the matrix value of the weight matrix corresponding to the standard index according to the comparison result.
In a preferred embodiment of the present invention,
the standard index includes at least one of: the product of the sand-to-ground ratios of the two single sand bodies, the product of the relative interlayer densities of the two single sand bodies, the product of the sand body permeabilities of the two single sand bodies, and the product of the porosities of the two single sand bodies; wherein the relative interlayer density of the single sand body is determined by subtracting the interlayer density of the single sand body from 1;
the first geological parameter information comprises at least one of: the sand-to-ground ratio, the interlayer density, the sand permeability and the porosity of the first single sand body; the second geological parameter information comprises at least one of: the second unitary sand body has a sand to ground ratio, an interlayer density, a sand permeability, and a porosity.
A device for determining the connectivity of sand bodies provides first geological parameter information of a first single sand body and second geological parameter information of a second single sand body in a target work area, and multiple standard indexes corresponding to specified connectivity levels; the device comprises: the system comprises a membership degree relation determining module, a target weight value determining module and a sand body connectivity determining module; wherein the content of the first and second substances,
the membership degree relation determining module is used for respectively determining the membership degree relation between each standard index and each specified connectivity grade;
the target weight value determining module is configured to set a weight matrix corresponding to the standard indicator according to the standard indicator, and determine a target weight value of each standard indicator in the weight matrix respectively;
and the sand body connectivity determining module is used for determining a target index and a target index parameter value according to the first geological parameter information and the second geological parameter information, and determining sand body connectivity between the first single sand body and the second single sand body according to the target index parameter value, the target weight value of the standard index and the membership relation.
The embodiment of the application provides a method and a device for determining sand body connectivity, which can respectively determine the membership degree relationship between each standard index and each specified connectivity grade; a weight matrix corresponding to the standard index may be set according to the standard index, and a target weight value of each standard index in the weight matrix may be determined respectively; target indexes and target index parameter values can be determined according to the first geological parameter information and the second geological parameter information, and sand body connectivity between the first single sand body and the second single sand body can be determined according to the target index parameter values, the target weight values of the standard indexes and the membership degree relation. According to the method, the determined membership relation between the indexes and the communication level and the weight value of each index are utilized to quantify the parameters of the qualitative influence indexes, a more scientific evaluation basis is provided, and the high-efficiency and accurate determination of the sand body connectivity can be realized.
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In order to more clearly illustrate the embodiments of the present application 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 description below are only some embodiments described in the present application, and for those skilled in the art, other drawings may be obtained according to these drawings without creative efforts.
FIG. 1 is a flow chart of an embodiment of a method of determining sand connectivity according to the present application;
FIG. 2 is a block diagram of the components of an embodiment of the apparatus for determining sand connectivity according to the present application.
Detailed Description
The embodiment of the application provides a method and a device for determining the connectivity of a sand body.
In order to make those skilled in the art better understand the technical solutions in the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The embodiment of the application provides a method for determining sand body connectivity. The method for determining the sand body connectivity provides first geological parameter information of a first single sand body and second geological parameter information of a second single sand body in a target work area, and various standard indexes corresponding to specified connectivity levels.
In this embodiment, the target work area may be a work area in which sand connectivity has not been evaluated.
In this embodiment, the first single sand body and the second single sand body may be two laterally adjacent single sand bodies in the target work area within the same deposition time unit.
In this embodiment, the standard index may include at least one of: the product of the sand-to-ground ratios of the two single sand bodies, the product of the relative interlayer densities of the two single sand bodies, the product of the sand body permeabilities of the two single sand bodies, and the product of the porosities of the two single sand bodies. And determining the relative interlayer density of the single sand body by subtracting the interlayer density of the single sand body from 1, namely subtracting the interlayer density of the single sand body from 1.
In this embodiment, the first geological parameter information may include at least one of: the sand-to-ground ratio, the interlayer density, the sand permeability, and the porosity of the first unitary sand body. The second geological parameter information may include at least one of: the second unitary sand body has a sand to ground ratio, an interlayer density, a sand permeability, and a porosity.
In this embodiment, the plurality of specified connectivity levels includes a first connectivity level, a second connectivity level, and a third connectivity level. Wherein the first connectivity level is higher than the second connectivity level, which is higher than the third connectivity level. The higher the specified level of connectivity, the better the sand connectivity. For example, when the specified connectivity level is a first connectivity level, it indicates that sand connectivity is better; when the specified connectivity level is a second connectivity level, sand body connectivity is indicated to be medium; when the specified connectivity level is a third connectivity level, it indicates that sand connectivity is poor or sand is not connected.
FIG. 1 is a flow chart of an embodiment of a method of determining sand connectivity according to the present application. As shown in FIG. 1, the method for determining the sand body connectivity comprises the following steps.
Step S101: and respectively determining the membership degree relation between each standard index and each specified connectivity grade.
In this embodiment, the correspondence between each of the standard indicators and the designated connectivity level may be as follows.
The greater the value of the product of the sand-to-ground ratios of two single sand bodies, the higher the specified level of connectivity. The greater the value of the product of the relative interlayer densities of two single sand bodies, the higher the specified level of connectivity. The greater the value of the product of the sand permeabilities of two single sands, the higher the specified level of connectivity. The greater the value of the product of the porosities of the two single sand bodies, the higher the specified level of connectivity.
In this embodiment, the correspondence between each standard index and the designated connectivity level may be determined according to a preset sand body connectivity evaluation standard. For example, table 1 shows the preset sand body connectivity evaluation criteria. As shown in Table 1, when the designated connectivity level is the first connectivity level, i.e., level I, the sand-to-ground ratio product (δ) of the two single sand bodies a ·δ b ) Value of (d), product of the relative interlayer densities ((1-d) a )·(1-d b ) Value of (k) and sand permeability a ·k b ) Product of the value of (D) and porosity
The values of (a) are all large; when the specified connectivity grade is a second connectivity grade, namely grade II, the value of the product of the sand-ground ratio, the product of the relative interlayer density, the product of the sand permeability and the product of the porosity of the two single sand bodies are all equal; when the designated level of connectivity is a third level of connectivity, level iii, the value of the product of sand-to-ground ratios, the value of the product of relative interlayer densities, the value of the product of sand permeabilities, and the value of the product of porosities are all smaller for the two single sand bodies.
TABLE 1 Preset evaluation criteria for sand body connectivity
In this embodiment, the membership relationship between each standard index and each designated connectivity level may be determined according to the corresponding relationship between each standard index and each designated connectivity level. For example, the membership relationship may be characterized using the following formula:
wherein, mu iI Membership, μ, representing the membership of the ith one of the criteria to a given connectivity level 1 (level I) iII A membership, μ, representing a membership relationship between an ith one of the criteria and a 2 nd designated level of connectivity (level II) iIII Degree of membership representing the membership of the ith one of the criteria to a 2 nd designated level of connectivity (level III), c 1 And c 3 Respectively, the critical values, x, of the ith standard index in Table 1 i Indicates the value of the ith criterion index.
Step S102: and setting a weight matrix corresponding to the standard indexes according to the standard indexes, and respectively determining the target weight value of each standard index in the weight matrix.
In this embodiment, the determining the target weight value of each standard indicator in the weight matrix may specifically include determining a matrix value of the weight matrix according to each standard indicator in the weight matrix corresponding to the standard indicator. The weight values corresponding to the standard indexes can be respectively determined according to the matrix values of the weight matrix. The weight values corresponding to the standard indexes can be verified to obtain verification results corresponding to the standard indexes. When the verification result corresponding to the standard index does not pass the verification, the matrix value of the weight matrix corresponding to the standard index may be re-determined until the verification result corresponding to the standard index passes the verification, and the weight values corresponding to the standard layer indexes that pass the verification may be respectively used as the target weight values of the standard indexes.
In this embodiment, the matrix value of the weight matrix is determined according to each standard index in the weight matrix corresponding to the standard index, which may specifically include that the standard indexes are compared two by two to obtain a comparison result. The matrix value of the weight matrix corresponding to the standard index can be determined according to the comparison result. For example, B may be used ij Is represented by B i To B j The importance of (A) is determined by adopting a nine-scale method in the analytic hierarchy process, namely a judgment rule of 1-9 scale shown in Table 2 i And B j And comparing two by two to obtain a comparison result. The decision matrix has the following properties: b is ij ＞0；B ij ＝1/B ji (ii) a When i ═ j, B ij ＝1。
TABLE 2 judgment rules
| Scale | Means of |
| 1 | Comparison of the two factors, factor B i And factor B j Of equal importance |
| 3 | Comparison of the two factors, factor B i Specific factor B j Of slight importance |
| 5 | Comparison of the two factors, factor B i Specific factor B j Of obvious importance |
| 7 | Comparison of the two factors, factor B i Specific factor B j Is very important |
| 9 | Comparison of the two factors, factor B i Specific factor B j Of extreme importance |
| 2,4,6,8 | Median value judged by the two adjacent factors |
The eigenvector corresponding to the maximum eigenvalue can be calculated through the judgment matrix, and the eigenvector is the relative importance weighted value of the factor of the level relative to a factor in the previous level.
In this embodiment, determining the weight value corresponding to each standard index according to the matrix value of the weight matrix may specifically include constructing a judgment matrix according to the weight matrix and the matrix value corresponding to the standard index. The product M of each row element in the decision matrix can be calculated i . Calculating the M i P times root of i ', p is the number of rows of the first judgment matrix. According to the W i ' obtaining a feature vector W, the
And acquiring the weight value corresponding to each standard index according to the feature vector. Wherein the content of the first and second substances,
in this embodiment, verifying the weight value corresponding to the standard indicator may specifically include obtaining a maximum characteristic root λ of the determination matrix max ，
(PW) i The i-th element of the vector PW is represented,
according to
And verifying the weighted value corresponding to the standard index, wherein in the formula, CR is the random consistency ratio of the judgment matrix, CI is the general consistency index of the judgment matrix, and RI is the average random consistency index of the judgment matrix. Where RI can be given by a number of experiments.
When the order number is less than or equal to 2, the judgment matrix always has complete consistency; when the order is more than 2, if CR is less than 0.1, the judgment matrix is considered to have satisfactory consistency, and the weight distribution is reasonable; otherwise, adjusting the judgment matrix until satisfactory consistency is obtained.
It should be noted that step S102 may be before or after step S101, and the present application does not limit this.
Step S103: and determining a target index and a target index parameter value according to the first geological parameter information and the second geological parameter information, and determining sand body connectivity between the first single sand body and the second single sand body according to the target index parameter value, the target weight value of the standard index and the membership relation.
In this embodiment, determining the sand body connectivity between the first single sand body and the second single sand body according to the target index parameter value, the target weight value of the standard index and the membership degree relationship may specifically include calculating an adaptability value of each designated connectivity level according to the target index parameter value, the target weight value of the standard index and the membership degree relationship, respectively. The specified connectivity level corresponding to the maximum fitness value may be taken as the sand connectivity level between the first single sand body and the second single sand body.
In this embodiment, the calculating the fitness value of each designated connectivity level according to the target index parameter value, the target weight value of the standard index, and the membership relationship may specifically include determining the membership of each designated connectivity level to each target index according to the target index parameter value and the membership relationship. The target weight value of the target index may be obtained from the target weight values of the standard indexes. The fitness value of each designated connectivity level can be calculated according to the membership of each target index to each designated connectivity level and the target weight value of each target index. The target index may be a part of or all of the standard indexes.
In this embodiment, the fitness value of each of the specified connectivity levels may be calculated by using the following formula:
wherein, B m An fitness value, w, representing an mth one of the plurality of designated connectivity levels i A weight value, mu, representing the ith index of the target indexes im And the membership degree of the ith index to the mth specified connectivity level in the target indexes is represented, and n represents the number of the indexes of the target indexes.
For example, table 3 shows the results of using the method of the present application to predict the sand cross-directional connectivity of 71 sets of cross-directional samples as compared to actual sand cross-directional connectivity. Wherein the actual sand body lateral connectivity is determined according to the actual geological data and the actual production dynamic data. As shown in Table 3, the coincidence rate of the predicted result (the result of the method) and the actual sand body transverse connectivity result (the actual result) by adopting the method reaches 95.8 percent (%), which shows that the accuracy of the sand body transverse connectivity determined by adopting the method is higher.
TABLE 3 comparison of sand body lateral connectivity
According to the method for determining the sand body connectivity, the membership degree relation between each standard index and each appointed connectivity grade can be respectively determined; a weight matrix corresponding to the standard index may be set according to the standard index, and a target weight value of each standard index in the weight matrix may be determined respectively; target indexes and target index parameter values can be determined according to the first geological parameter information and the second geological parameter information, and sand body connectivity between the first single sand body and the second single sand body can be determined according to the target index parameter values, the target weight values of the standard indexes and the membership degree relation. The method quantifies the parameters of the qualitative influence indexes by using the determined membership relation between the indexes and the communication level and the weighted values of all the indexes, provides more scientific evaluation basis and can realize the high-efficiency and accurate determination of the sand body connectivity.
FIG. 2 is a block diagram of the components of an embodiment of the apparatus for determining sand connectivity according to the present application. The device for determining the sand body connectivity provides first geological parameter information of a first single sand body and second geological parameter information of a second single sand body in a target work area, and various standard indexes corresponding to specified connectivity levels. As shown in fig. 2, the device for determining the sand body connectivity may include: a membership determination module 100, a target weight value determination module 200 and a sand connectivity determination module 300.
The membership relation determining module 100 may be configured to determine membership relations between each standard indicator and each specified connectivity level.
The target weight value determining module 200 may be configured to set a weight matrix corresponding to the standard indicator according to the standard indicator, and determine a target weight value of each standard indicator in the weight matrix respectively.
The sand connectivity determining module 300 may be configured to determine a target index and a target index parameter value according to the first geological parameter information and the second geological parameter information, and determine sand connectivity between the first single sand body and the second single sand body according to the target index parameter value, the target weight value of the standard index, and the membership relation.
The device embodiment for determining sand body connectivity corresponds to the method embodiment for determining sand body connectivity, so that the technical scheme of the method embodiment for determining sand body connectivity can be realized, and the technical effect of the method embodiment can be obtained.
In the 90's of the 20 th century, improvements to a technology could clearly distinguish between improvements in hardware (e.g., improvements to circuit structures such as diodes, transistors, switches, etc.) and improvements in software (improvements to process flow). However, as technology advances, many of today's process flow improvements have been seen as direct improvements in hardware circuit architecture. Designers almost always obtain the corresponding hardware circuit structure by programming an improved method flow into the hardware circuit. Thus, it cannot be said that an improvement in the process flow cannot be realized by hardware physical blocks. For example, a Programmable Logic Device (PLD), such as a Field Programmable Gate Array (FPGA), is an integrated circuit whose Logic functions are determined by programming the Device by a user. A digital system is "integrated" on a PLD by the designer's own programming without requiring the chip manufacturer to design and fabricate application-specific integrated circuit chips. Furthermore, nowadays, instead of manually making an Integrated Circuit chip, such Programming is often implemented by "logic compiler" software, which is similar to a software compiler used in program development and writing, but the original code before compiling is also written by a specific Programming Language, which is called Hardware Description Language (HDL), and HDL is not only one but many, such as abel (advanced Boolean Expression Language), ahdl (alternate Language Description Language), traffic, pl (core unified Programming Language), HDCal, JHDL (Java Hardware Description Language), langue, Lola, HDL, laspam, hardbyscript Description Language (vhr Description Language), and the like, which are currently used by Hardware compiler-software (Hardware Description Language-software). It will also be apparent to those skilled in the art that hardware circuitry that implements the logical method flows can be readily obtained by merely slightly programming the method flows into an integrated circuit using the hardware description languages described above.
Those skilled in the art will also appreciate that, in addition to implementing the controller as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such a controller may thus be considered a hardware component, and the means included therein for performing the various functions may also be considered as a structure within the hardware component. Or even means for performing the functions may be regarded as being both a software module for performing the method and a structure within a hardware component.
The apparatuses and modules illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions.
For convenience of description, the above devices are described as being divided into various modules by functions, and are described separately. Of course, the functionality of the various modules may be implemented in the same one or more pieces of software and/or hardware in the practice of the present application.
From the above description of the embodiments, it is clear to those skilled in the art that the present application can be implemented by software plus necessary general hardware platform. With this understanding in mind, the present solution, and in essence or in part contributing to the prior art, may be embodied in the form of a software product, which in a typical configuration includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory. The computer software product may include instructions for causing a computing device (which may be a personal computer, a server, or a network device, etc.) to perform the methods described in the embodiments or portions of embodiments of the present application. The computer software product may be stored in a memory, which may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium. Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include transitory computer readable media (transient media), such as modulated data signals and carrier waves.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments can be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the apparatus embodiment, since it is substantially similar to the method embodiment, the description is relatively simple, and reference may be made to the partial description of the method embodiment for relevant points.
The application is operational with numerous general purpose or special purpose computing system environments or configurations. For example: personal computers, server computers, hand-held or portable devices, tablet-type devices, multiprocessor systems, microprocessor-based systems, set top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments that include any of the above systems or devices, and the like.
The application may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The application may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
While the present application has been described with examples, those of ordinary skill in the art will appreciate that there are numerous variations and permutations of the present application without departing from the spirit of the application, and it is intended that the appended claims encompass such variations and permutations without departing from the spirit of the application.
Claims (10)
1. The method for determining the connectivity of the sand body is characterized by providing first geological parameter information of a first single sand body and second geological parameter information of a second single sand body in a destination work area, and multiple standard indexes corresponding to specified connectivity levels; the method comprises the following steps:
respectively determining membership degree relations between each standard index and each appointed connectivity grade;
setting a weight matrix corresponding to the standard indexes according to the standard indexes, and respectively determining a target weight value of each standard index in the weight matrix;
determining a target index and a target index parameter value according to the first geological parameter information and the second geological parameter information, and determining sand body connectivity between the first single sand body and the second single sand body according to the target index parameter value, the target weight value of the standard index and the membership relation;
the standard indexes include: the product of the sand-to-ground ratios of the two single sand bodies and the product of the relative interlayer densities of the two single sand bodies; wherein the relative interlayer density of the single sand body is determined by subtracting the interlayer density of the single sand body from 1;
the first geological parameter information comprises: the sand-to-ground ratio and the interlayer density of the first single sand body; the second geological parameter information includes: sand-to-ground ratio, interlayer density of the second single sand body.
2. The method of determining sand connectivity of claim 1, wherein the first single sand body and the second single sand body are two single sand bodies laterally adjacent to each other in the same depositional time unit of the destination work area.
3. The method for determining sand connectivity according to claim 1, wherein the determining sand connectivity between the first single sand body and the second single sand body according to the target index parameter value, the target weight value of the standard index and the membership relation comprises:
respectively calculating the fitness value of each specified connectivity level according to the target index parameter value, the target weight value of the standard index and the membership relation;
and taking the specified connectivity grade corresponding to the maximum adaptability value as the sand body connectivity grade between the first single sand body and the second single sand body.
4. The method for determining sand body connectivity according to claim 3, wherein the step of calculating the fitness value of each specified connectivity level according to the target index parameter value, the target weight value of the standard index and the membership relation comprises:
respectively determining the membership degree of each target index to each specified connectivity grade according to the target index parameter values and the membership degree relation;
acquiring a target weight value of the target index from target weight values of the standard indexes;
and respectively calculating the adaptability value of each designated connectivity grade according to the membership of each target index to each designated connectivity grade and the target weight value of each target index.
5. The method of claim 4, wherein the fitness value for each of the designated levels of connectivity is calculated using the following equation:
wherein, B m An fitness value, w, representing an mth one of the plurality of designated connectivity levels i A weight value, mu, representing the ith index of the target indexes im And the membership degree of the ith index to the mth specified connectivity level in the target indexes is represented, and n represents the number of indexes of the target indexes.
6. The method for determining sand body connectivity according to claim 1, wherein the target indexes are part or all of the standard indexes.
7. The method for determining sand body connectivity according to claim 1, wherein the separately determining a target weight value of each standard index in the weight matrix comprises:
determining a matrix value of the weight matrix according to each standard index in the weight matrix corresponding to the standard index;
respectively determining the weight value corresponding to each standard index according to the matrix value of the weight matrix;
verifying the weight values corresponding to the standard indexes to obtain verification results corresponding to the standard indexes;
and when the verification result corresponding to the standard index does not pass the verification, re-determining the matrix value of the weight matrix corresponding to the standard index until the verification result corresponding to the standard index passes the verification, and respectively taking the weight value corresponding to each standard index passing the verification as the target weight value of each standard index.
8. The method for determining sand body connectivity according to claim 7, wherein the determining a matrix value of the weight matrix according to each standard index in the weight matrix corresponding to the standard index comprises:
comparing the standard indexes pairwise to obtain a comparison result;
and determining the matrix value of the weight matrix corresponding to the standard index according to the comparison result.
9. The method of determining sand connectivity of claim 1,
the standard index further comprises at least one of the following: a product of sand body permeability of the two single sand bodies and a product of porosity of the two single sand bodies;
the first geological parameter information further comprises at least one of: sand permeability and porosity; the second geological parameter information further comprises at least one of: sand permeability and porosity.
10. The device for determining the connectivity of the sand bodies is characterized by providing first geological parameter information of a first single sand body and second geological parameter information of a second single sand body in a target work area, and multiple standard indexes corresponding to specified connectivity levels; the device comprises: the system comprises a membership degree relation determining module, a target weight value determining module and a sand body connectivity determining module; wherein the content of the first and second substances,
the membership degree relation determining module is used for respectively determining the membership degree relation between each standard index and each specified connectivity grade;
the target weight value determining module is used for setting a weight matrix corresponding to the standard indexes according to the standard indexes and respectively determining the target weight value of each standard index in the weight matrix;
the sand body connectivity determining module is used for determining a target index and a target index parameter value according to the first geological parameter information and the second geological parameter information, and determining sand body connectivity between the first single sand body and the second single sand body according to the target index parameter value, the target weight value of the standard index and the membership relation;
the standard indexes include: the product of the sand-ground ratios of the two single sand bodies and the product of the relative interlayer densities of the two single sand bodies; wherein the relative interlayer density of the single sand body is determined by subtracting the interlayer density of the single sand body from 1;
the first geological parameter information comprises: the sand-to-ground ratio and the interlayer density of the first single sand body; the second geological parameter information includes: the sand-to-ground ratio and the interlayer density of the second single sand body.
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