Developing a method, device, equipment and storage medium for determining a layer combination

Abstract

The present disclosure discloses a method, device, equipment and storage medium for determining a development stratum combination, and belongs to the technical field of oil and gas exploitation. The method includes: obtaining hierarchical division information of a target block, wherein the hierarchical division information is used to indicate at least two sub-layers in the target block; each of the at least two sub-layers contains at least one single sand layer; obtaining geological parameters of each single sand layer in the at least two sub-layers; obtaining the total coefficient of variation of each of the at least two sub-layers; obtaining at least two stratum combinations; obtaining the inter-stratum coefficient of variation of each stratum combination in the at least two stratum combinations based on the total coefficient of variation of each of the at least two sub-layers; determining the target stratum combination from the at least two stratum combinations based on the inter-stratum coefficient of variation of each stratum combination in the at least two stratum combinations. This scheme accurately determines the optimal stratum combination and improves the accuracy of determining the stratum combination.

Description

Technical Field

[0001] The present disclosure relates to the technical field of oil and gas exploitation, and in particular to a method, device, equipment and storage medium for determining a development stratum combination. Background Art

[0002] In the field of oil and gas production, how to determine the technical boundaries of the combination of development strata in oil and gas reservoirs and optimize the combination of development strata is an important technical problem faced by oil and gas reservoirs in the later stage of development adjustment.

[0003] In related technologies, when optimizing the combination of development layers, technical personnel collect information such as the degree of utilization of each layer, interlayer distribution, fluid properties, remaining resources, etc., manually analyze the feasibility of the layer combination based on the above information, and determine the optimized layer combination.

[0004] However, the above scheme requires technicians to manually analyze the relevant information of each layer to determine the layer combination. Since it is greatly influenced by personal subjective factors, the effect of optimizing the layer combination is poor. Summary of the invention

[0005] The present disclosure provides a development layer combination determination method, device, equipment and storage medium. The technical solution is as follows:

[0006] In one aspect, a method for determining a combination of development layers is provided, the method comprising:

[0007] Acquire hierarchical division information of a target block, wherein the hierarchical division information is used to indicate at least two sub-layers in the target block; each of the at least two sub-layers includes at least one single sand layer;

[0008] Obtaining geological parameters of each single sand layer in the at least two small layers, wherein the geological parameters include at least one of geological reserves, effective thickness of oil layer, permeability, recovery degree, water content, and injection pore volume multiple;

[0009] According to the geological parameters of each single sand layer in the at least two small layers, obtaining the total coefficient of variation of each of the at least two small layers; the total coefficient of variation is used to indicate the difference in geological parameters between the single sand layers in the corresponding small layers;

[0010] Acquire at least two layer system combinations; each of the at least two layer system combinations comprises at least one layer system obtained by dividing the at least two sublayers in hierarchical order; each of the at least one layer system comprises at least one sublayer;

[0011] According to the total coefficient of variation of each of the at least two small layers, the inter-layer coefficient of variation of each layer combination in the at least two layer combinations is obtained; the inter-layer coefficient of variation is used to indicate the difference in the total coefficient of variation level difference between each layer in the corresponding layer combination; the total coefficient of variation level difference indicates the difference in the total coefficient of variation between the small layers within the corresponding layer;

[0012] A target layer combination is determined from the at least two layer combinations according to the inter-layer variation coefficient of each layer combination in the at least two layer combinations.

[0013] In one aspect, a device for determining a development layer combination is provided, the device comprising:

[0014] A layer division information acquisition module is used to acquire the layer division information of the target block, wherein the layer division information is used to indicate at least two small layers in the target block; each of the at least two small layers includes at least one single sand layer;

[0015] A geological parameter acquisition module, used to acquire geological parameters of each single sand layer in the at least two small layers, wherein the geological parameters include at least one of geological reserves, effective thickness of oil layer, permeability, recovery degree, water content, and injection pore volume multiple;

[0016] A total variation coefficient acquisition module is used to acquire the total variation coefficient of each of the at least two sub-layers according to the geological parameters of each single sand layer in the at least two sub-layers; the total variation coefficient is used to indicate the difference in geological parameters between the single sand layers in the corresponding sub-layers;

[0017] A layer system combination acquisition module is used to acquire at least two layer system combinations; each of the at least two layer system combinations comprises at least one layer system obtained by dividing the at least two sub-layers in hierarchical order; each of the at least one layer system comprises at least one sub-layer;

[0018] The inter-layer variation coefficient acquisition module is used to acquire the inter-layer variation coefficient of each layer combination in the at least two layer combinations according to the total variation coefficients of the at least two small layers; the inter-layer variation coefficient is used to indicate the difference in the total variation coefficient level difference between the layers in the corresponding layer combination; the total variation coefficient level difference indicates the difference in the total variation coefficient between the small layers within the corresponding layer;

[0019] The target layer combination determination module is used to determine the target layer combination from the at least two layer combinations according to the inter-layer variation coefficient of each layer combination in the at least two layer combinations.

[0020] On the one hand, a computer device is provided, which includes a processor and a memory, wherein the memory stores at least one instruction, at least one program, a code set or an instruction set, and the at least one instruction, the at least one program, the code set or the instruction set are loaded and executed by the processor to implement the above-mentioned development layer combination determination method.

[0021] On the one hand, a computer-readable storage medium is provided, in which at least one instruction, at least one program, code set or instruction set is stored, and the at least one instruction, the at least one program, the code set or instruction set is loaded and executed by a processor to implement the above-mentioned development layer combination determination method.

[0022] In one aspect, a computer program product is provided, the computer program product comprising computer instructions, the computer instructions being stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the development layer system combination determination method provided in various optional implementations of the above aspects.

[0023] The technical solution provided by the embodiments of the present disclosure may have the following beneficial effects:

[0024] The reservoir of the target block is divided into multiple small layers each containing one or more single sand layers, and based on the various geological parameters of each single sand layer, the differences in geological parameters in each small layer are determined, and then the multiple small layers are divided according to various possible divisions to obtain multiple stratum combinations, and then the inter-stratum variation coefficients between the strata in various stratum combinations are calculated, that is, whether the differences in geological parameters are similar between the strata, so as to quantify the advantages and disadvantages of the multiple stratum combinations, thereby accurately determining the optimal stratum combination and improving the accuracy of stratum combination determination.

[0025] It is to be understood that the foregoing general description and the following detailed description are exemplary only and are not restrictive of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the present disclosure.

[0027] Figure 1 is a schematic diagram of a development layer combination determination system according to an exemplary embodiment;

[0028] Figure 2 is a method flow chart of a method for developing a layer system combination determination method according to an exemplary embodiment;

[0029] Figure 3is a method flow chart of a method for developing a layer system combination determination method according to an exemplary embodiment;

[0030] Figure 4 is a block diagram of a device for determining a development layer combination according to an exemplary embodiment;

[0031] Figure 5 The diagram is a schematic structural diagram of a computer device according to an exemplary embodiment. DETAILED DESCRIPTION

[0032] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present disclosure. Instead, they are merely examples of devices and methods consistent with some aspects of the present disclosure as detailed in the appended claims.

[0033] It should be understood that the "several" mentioned in this article refers to one or more, and "multiple" refers to two or more. "And / or" describes the association relationship of the associated objects, indicating that there can be three relationships. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the associated objects before and after are in an "or" relationship.

[0034] In order to make the purpose, technical solutions and advantages of the embodiments of the present disclosure clearer, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are part of the embodiments of the present disclosure, rather than all the embodiments. The components of the embodiments of the present disclosure described and shown in the drawings here can be arranged and designed in various different configurations.

[0035] Therefore, the following detailed description of the embodiments of the present disclosure provided in the accompanying drawings is not intended to limit the scope of the present disclosure claimed for protection, but merely represents selected embodiments of the present disclosure. Based on the embodiments in the present disclosure, all other embodiments obtained by ordinary technicians in the field without creative work are within the scope of protection of the present disclosure.

[0036] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present disclosure may be combined with each other.

[0037] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0038] In the description of the embodiments of the present disclosure, it should be noted that the indicated orientation or positional relationship is based on the orientation or positional relationship shown in the accompanying drawings, or the orientation or positional relationship in which the product is usually placed when in use, or the orientation or positional relationship commonly understood by those skilled in the art, or the orientation or positional relationship in which the product is usually placed when in use, which is only for the convenience of describing the present disclosure and simplifying the description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present disclosure. In addition, the terms "first" and "second" are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0039] In the description of the embodiments of the present disclosure, it is also necessary to explain that, unless otherwise clearly specified and limited, the terms "setting" and "connection" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a direct connection, or an indirect connection through an intermediate medium. For ordinary technicians in this field, the specific meanings of the above terms in the present disclosure can be understood according to specific circumstances; the drawings in the embodiments are used to clearly and completely describe the technical solutions in the embodiments of the present disclosure. Obviously, the described embodiments are part of the embodiments of the present disclosure, not all of the embodiments. The components of the embodiments of the present disclosure generally described and shown in the drawings here can be arranged and designed in various different configurations.

[0040] Fault block reservoirs refer to reservoirs formed by the accumulation of oil and gas in fault block traps. They are also called fault block trap reservoirs. Fault block traps are formed by reservoir blocks that are cut by the intersection of two or more faults along the updip direction of the reservoir and have the function of blocking and closing oil and gas. Fault block reservoirs can be further divided into stepped fault blocks, ridge fault blocks, horst fault blocks, cross fault blocks, arc fault blocks, reverse fault blocks, closed fault blocks and other types of reservoirs according to the combined morphology of fault planes and sections.

[0041] Development strata refer to a group of oil and gas layers with the same properties that can be developed with the same well pattern. When developing multi-layer oil fields, it is very important to reasonably divide and combine development strata according to the characteristics of the oil layers in different development strata to improve the recovery rate.

[0042] The oil layer under an oil field is usually not just one layer, but many layers, some with dozens of layers, and the properties of each layer are different. Some layers have good permeability, high pressure, and high oil saturation; some layers have poor permeability, low pressure, and low oil saturation. If these layers are mined together without distinguishing between good and bad layers, some layers will produce more oil, while some layers will produce less or even no oil.

[0043] In order to mobilize the enthusiasm of each oil layer to produce oil, the oil layers with similar underground permeability and similar extension distribution and similar oil layer pressure are combined and developed with the same set of well networks. When developing some multi-layer oil fields with extremely rich geological reserves, the multiple oil layers can be divided into several layers according to the properties of the oil layers, and a set of well networks is drilled for each layer to develop them separately. This method is called dividing the development layers. For each set of development layers, a development method and well network deployment that are suitable for it should be adopted. This can reduce the mutual interference between good oil layers and poor oil layers, and has a good effect on improving oil production speed and recovery rate.

[0044] To divide the development strata reasonably is to group the oil layers with similar characteristics together, develop them with a single development system, and use this as the basis for production planning, dynamic research and adjustments, which is conducive to giving full play to the role of various oil layers.

[0045] In the same oil field, since the vertical depositional environment and conditions of the reservoir cannot be completely consistent, the oil layer characteristics will naturally be different, so interlayer conflicts are inevitable during the development process. If the development layers cannot be reasonably combined and divided, it will be a major mistake in development, which will cause major problems in oil field production and affect the development effect. For example, the production capacity of high permeability layers and low permeability layers is often limited due to the large oil flow resistance in the low permeability layer; the low pressure layer and the high pressure layer are often not oil-producing, and the oil in the high pressure layer may even flow into the low pressure layer; in water-driven oil fields, the high permeability layer is often flooded quickly, and in the case of co-production, the interlayer conflicts will be aggravated, and the oil and water layers will interfere with each other, which will seriously affect the recovery rate.

[0046] The division of development layers is the basis for deploying well networks and planning production facilities. Once the development layers are determined, the number of well networks is generally determined, making it possible to study and deploy well networks, injection and production methods, and plan and build surface production facilities.

[0047] The development level of oil production technology requires the division of layers. A multi-layer oil field often has dozens of layers, and the production well section can sometimes reach hundreds of meters. In order to give full play to the role of each oil layer and make them absorb water and produce oil evenly, the oil production process often adopts layered water injection, layered oil production and layered control measures. Therefore, it is necessary to divide the development layers, so that the number of oil layers in a development layer is not too much and the well section is not too long, so as to better play the role of the process means and develop the oil field well.

[0048] High-speed development of oil fields requires stratum division. Using a set of well patterns to develop a multi-layer oil field will inevitably fail to give full play to the role of each layer, especially when there are many main oil-producing layers. In order to give full play to the role of each layer, it is necessary to divide the development stratum. This will increase the oil recovery rate, accelerate the production of the oil field, shorten the development time, and improve the turnover rate of basic investment.

[0049] Complex fault-block reservoirs are characterized by the development of faults in the plane, the presence of multiple oil-water system combinations in the vertical direction, large oil layer spans, many layers, and strong reservoir heterogeneity. During the water injection development process, such reservoirs are affected by reservoir heterogeneity, with rapid water content increase, single-layer injection of water advances, and reduced oil layer utilization. The remaining oil is highly scattered in space. As the development time increases, interlayer interference becomes more and more serious, and the original development strata can no longer meet the requirements of improving the recovery rate.

[0050] At present, the conventional method for determining the stratum reorganization scheme is mainly based on the conventional reservoir engineering method and reservoir numerical simulation method based on fine geological research. The former mainly analyzes the feasibility of stratum combination from the aspects of production degree, interlayer, fluid properties and remaining resources. The method is relatively fast, but the determined stratum combination scheme is single, and it is difficult to distinguish and compare the advantages and disadvantages of various stratum combination methods, and the decision maker's subjective factors are strong; although the reservoir numerical simulation method can comprehensively consider many factors that affect the development effect after the stratum combination, and can compare and select various stratum combination methods, it takes a long time and greatly affects the work efficiency. In general, the current stratum reorganization scheme optimization method cannot take into account both efficiency and effect.

[0051] The purpose of the present invention is to provide a fast, simple and optimal stratum reorganization method, thereby improving the development effect of the oil reservoir and increasing the recovery rate of the oil reservoir.

[0052] Figure 1 1 is a schematic diagram of a development stratum combination determination system according to an exemplary embodiment. The development stratum combination determination system includes a wellbore 110 , a wellbore sampling device 120 , an experimental test device 130 , and a computer device 140 .

[0053] The drilling sampling device 120 is disposed at the wellhead of the drilling 110 and is used to sample various data and samples of the drilling 110 , for example, collecting rock samples in the drilling 110 .

[0054] The experimental testing equipment 130 is used to perform experimental tests on rock samples and the like under manual or automatic operation to determine various geological information, such as the layer division information of the rock layer, the geological parameters of each single sand layer, and the like.

[0055] The experimental test equipment 130 may be equipment in a laboratory that is temporarily or permanently set up.

[0056] The computer device 140 is used to determine the final development layer system combination based on the data obtained by the experimental test device 130.

[0057] The computer device 140 may be installed with a computer program / software for determining the development layer combination.

[0058] Figure 2 FIG. 1 is a flow chart of a method for developing a layer system combination determination method according to an exemplary embodiment. Figure 2 As shown, the development layer combination determination method includes the following steps:

[0059] Step 201, obtaining hierarchical division information of a target block, where the hierarchical division information is used to indicate at least two sub-layers in the target block; each of the at least two sub-layers includes at least one single sand layer.

[0060] Step 202, obtaining geological parameters of each single sand layer in the at least two small layers, wherein the geological parameters include at least one of geological reserves, effective thickness of the oil layer, permeability, degree of recovery, water content, and injection pore volume multiple.

[0061] Step 203, obtaining the total coefficient of variation of each of the at least two sublayers according to the geological parameters of each single sand layer in the at least two sublayers; the total coefficient of variation is used to indicate the difference in geological parameters between the single sand layers in the corresponding sublayers.

[0062] Step 204, obtaining at least two layer system combinations; each of the at least two layer system combinations includes at least one layer system obtained by dividing the at least two sub-layers in hierarchical order; each of the at least one layer system includes at least one sub-layer.

[0063] Step 205, obtaining the inter-layer coefficient of variation of each layer combination in the at least two layer combinations based on the respective total coefficient of variation of the at least two sub-layers; the inter-layer coefficient of variation is used to indicate the difference in the total coefficient of variation differences between the layers in the corresponding layer combination; the total coefficient of variation difference indicates the difference in the total coefficient of variation between the sub-layers within the corresponding layer.

[0064] Step 206: determining a target layer combination from the at least two layer combinations according to the inter-layer variation coefficient of each layer combination in the at least two layer combinations.

[0065] To summarize, the scheme shown in the embodiment of the present disclosure divides the reservoir of the target block into multiple small layers each containing one or more single sand layers, and based on the various geological parameters of each single sand layer, determines the differences in geological parameters in each small layer, and then divides the multiple small layers according to various possible division situations to obtain multiple layer combinations, and then calculates the inter-layer variation coefficients between the layers in the various layer combinations, that is, whether the differences in geological parameters are similar between the layers, so as to quantify the advantages and disadvantages of the multiple layer combinations, thereby accurately determining the optimal layer combination and improving the accuracy of the layer combination determination.

[0066] Based on the research of reservoir engineering, the present invention comprehensively considers various factors reflecting the contradictions of reservoir strata, such as reservoir physical properties, reservoir thickness, geological reserves, single-layer production degree, flooding condition, oil layer thickness, etc., and uses the coefficient of variation summation method to quantify the above dynamic and static indicators and comprehensively consider the strata division after quantifying the indicators. This scheme takes the small layer as the minimum calculation unit and is suitable for the optimization combination of oil layer strata with more than one single sand layer in the small layer.

[0067] The present invention combines strata with similar physical properties and similar production conditions to ensure low heterogeneity between strata; statically select permeability, thickness, and reserves, and dynamically consider the degree of recovery, water content, and injection volume multiples. The present invention solves the technical problems of inaccurate strata division caused by the single strata combination scheme in the prior art, the difficulty in distinguishing and comparing the advantages and disadvantages of multiple strata combination methods, and the strong subjective factors of human beings.

[0068] Figure 3 FIG. 1 is a flow chart of a method for developing a layer system combination determination method according to an exemplary embodiment. Figure 3 As shown, the development layer combination determination method includes the following steps:

[0069] Step 301, obtaining hierarchical division information of a target block, where the hierarchical division information is used to indicate at least two sub-layers in the target block; each of the at least two sub-layers includes at least one single sand layer.

[0070] In the disclosed embodiment, based on the fine stratigraphic comparison, small layers are first divided, and then the development units are subdivided into single sand layers.

[0071] Strata is a general term for all stratified rocks, including metamorphic and volcanic stratified rocks. Strata is a layer or a group of rock layers with certain unified characteristics and properties, and are clearly distinguished from the layers above and below. Adjacent strata can be separated by obvious layers or sedimentary discontinuities, or by some less obvious boundaries. Strata can be consolidated rocks or loose deposits.

[0072] Stratigraphic correlation is one of the important means of studying strata. Its significance is to compare certain stratigraphic units in different regions based on their lithology, fossils and other characteristics, to prove that these stratigraphic units are equivalent in position and close in time.

[0073] The development strata are a set of oil and gas-bearing strata interbedded with sandstone and mudstone, and are comparable strata within the sedimentary basin.

[0074] On the full profile of the oil and gas bearing strata, a certain logging curve has obvious segmentation. The lithology or lithology combination of these segments has obvious changes, and the oil content level has obvious differences. At this time, it can be divided into different oil and gas strata.

[0075] The sand layer group is obtained by dividing the adjacent oil and gas layer development sections within the oil and gas layer group.

[0076] A small layer is a small layer of oil and gas layers within the sand layer group, which is separated by impermeable layers above and below.

[0077] Step 302, obtaining geological parameters of each single sand layer in the at least two small layers, wherein the geological parameters include at least one of geological reserves, effective thickness of the oil layer, permeability, degree of recovery, water content, and injection pore volume multiple.

[0078] In the disclosed embodiments, detailed reservoir evaluation can be carried out for single sand layers to determine the distribution status and physical properties of the interval layers of each single sand layer; and detailed research on reservoir characteristics and the distribution law of remaining oil can be carried out to determine the geological parameters such as the geological reserves, effective thickness of the oil layer, permeability, degree of recovery, water content, and injection pore volume multiples of each single sand layer.

[0079] Step 303, according to the geological parameters of each single sand layer in the at least two sublayers, obtain the total coefficient of variation of each of the at least two sublayers; the total coefficient of variation is used to indicate the difference in geological parameters between the single sand layers in the corresponding sublayers.

[0080] In a possible implementation, obtaining the total coefficient of variation of each of the at least two sub-layers according to the geological parameters of each single sand layer in the at least two sub-layers includes:

[0081] Obtaining the coefficient of variation of various geological parameters of the target sublayer; the coefficient of variation is used to indicate the difference between the corresponding geological parameters of each single sand layer in the target sublayer; the target sublayer is any one of the at least two sublayers;

[0082] According to the coefficients of variation of various geological parameters of the target sublayer, the total coefficient of variation of the target sublayer is obtained.

[0083] In a possible implementation, the geological parameters include at least two of geological reserves, effective thickness of oil layer, permeability, recovery degree, water content, and injection pore volume multiple; the coefficient of variation of various geological parameters of the target sublayer is obtained, including:

[0084] Obtaining target geological parameters of each single sand layer in the target sublayer; the target geological parameter is any one of geological reserves, effective thickness of oil layer, permeability, recovery degree, water content, and injection pore volume multiple;

[0085] The coefficient of variation of the target geological parameter of the target layer is calculated by the following formula:

[0086]

[0087] Among them, C A A represents the coefficient of variation of the target geological parameter of the target layer; j represents the target geological parameter of the j-th single sand layer in the target sublayer; It represents the average value of the target geological parameter of each single sand layer in the target sublayer; n is the number of single sand layers in the target sublayer.

[0088] In a possible implementation, the total coefficient of variation of the target sublayer is obtained according to the coefficients of variation of various geological parameters of the target sublayer, including:

[0089] Adding the coefficients of variation of various geological parameters of the target sublayer to obtain the total coefficient of variation of the target sublayer;

[0090] Alternatively, a weighted sum of the coefficients of variation of various geological parameters of the target sublayer is taken to obtain a total coefficient of variation of the target sublayer;

[0091] Alternatively, the coefficients of variation of various geological parameters of the target sublayer are averaged to obtain the total coefficient of variation of the target sublayer;

[0092] Alternatively, the coefficients of variation of various geological parameters of the target sublayer are weighted averaged to obtain the total coefficient of variation of the target sublayer.

[0093] In the disclosed embodiment, the geological reserves of the sub-layer, the effective thickness of the oil layer, the permeability, the recovery degree, the water content, and the coefficient of variation of the injected pore volume multiple can be calculated, and the coefficients of variation can be summed.

[0094] The coefficient of variation of each relevant factor is calculated for each sublayer, and the sum of the coefficient of variation of each sublayer is calculated. Combined with the actual production situation of the oil field, the interlayers between single sand layers are unstable, and the same sublayer is often not divided into different layers when dividing the strata. Therefore, the smallest unit of the strata division is the sublayer, and the coefficient of variation of the geological parameters of the sublayer is obtained with the help of the single sand layer. Therefore, this method is suitable for the division of reservoir strata with more than 1 single sand layer in the sublayer.

[0095] Assume that the sum of the coefficients of variation of the geological parameters of the i-th layer Fi is:

[0096] F i =C ki +C hi +C Ri +C fi +C pvi +C Ni

[0097] Among them, C ki Indicates the coefficient of variation of permeability of the ith layer, the data type is f; C hi Indicates the coefficient of variation of the effective thickness of the i-th small layer, the data type is f; C Ri Indicates the coefficient of variation of the i-th layer’s extraction degree, and its data type is f; C fi Indicates the coefficient of variation of water content in the ith sublayer, the data type is f; C pvi Indicates the coefficient of variation of the injected pore volume multiple of the i-th small layer, the data type is f; C Ni It represents the coefficient of variation of geological reserves of the i-th sub-stratum system, and its data type is f.

[0098] The permeability variation coefficient in the above formula is:

[0099]

[0100] Among them, K ij It represents the permeability of the jth single sand layer in the i-th layer, in units of 10 -3 μm 2 ;

[0101] represents the average permeability of the ith layer, in units of 10 -3 μm 2 ;

[0102] n i It represents the number of single sand layers in the i-th small layer, in pieces.

[0103] The effective thickness coefficient of variation is:

[0104]

[0105] Among them, hij It represents the effective thickness of the jth single sand layer in the i-th sublayer, in m;

[0106] Represents the average effective thickness of the i-th small layer, in units of 10 -3 μm 2 ;

[0107] The coefficient of variation of the recovery degree is:

[0108]

[0109] Among them, R ij It indicates the extraction degree of the jth single sand layer in the i-th layer, in %;

[0110] It represents the average value of the extraction degree of the ith sub-layer, in %;

[0111] The comprehensive water content variation coefficient is:

[0112]

[0113] Among them, f ij It represents the comprehensive water content of the jth single sand layer in the i-th layer, in %;

[0114] It represents the average comprehensive water content of the ith sublayer, in %;

[0115] The coefficient of variation of injected pore volume multiple is:

[0116]

[0117] Among them, pv ij It indicates the injection pore volume multiple of the jth single sand layer in the i-th sublayer, and the data type is f;

[0118] It represents the average value of the injected pore volume multiple of the i-th small layer, and the data type is f;

[0119] The coefficient of variation of geological reserves of small layers is:

[0120]

[0121] Among them, N ij It indicates the injection pore volume multiple of the jth single sand layer in the i-th sublayer, and the data type is f;

[0122] It represents the average value of the injected pore volume multiples of the i-th small layer, and the data type is f.

[0123] Step 304, obtaining at least two layer system combinations; each of the at least two layer system combinations includes at least one layer system obtained by dividing the at least two sub-layers in hierarchical order; each of the at least one layer system includes at least one sub-layer.

[0124] In the embodiment of the present disclosure, all layer division schemes can be calculated using mathematical permutations and combinations.

[0125] Assume that there are m small layers in the vertical direction of the block, which are divided into layer 1, layer 2, ... layer k from top to bottom. Layer 1 has m1 small layers, layer 2 has m2 small layers, ..., layer k has m k The combination relationship of the small layers satisfies m1+m2…+m k =m, and the layer system is continuously and gradually deepened. i small layers, the total number of combinations is:

[0126]

[0127] in, It represents the number of combinations of randomly selecting m1 layers from n small layers.

[0128] Step 305, obtaining the inter-layer coefficient of variation of each layer combination in the at least two layer combinations based on the respective total coefficient of variation of the at least two sub-layers; the inter-layer coefficient of variation is used to indicate the difference in the total coefficient of variation differences between the layers in the corresponding layer combination; the total coefficient of variation differences indicates the difference in the total coefficient of variation between the sub-layers within the corresponding layer.

[0129] In a possible implementation, obtaining the difference of the total coefficient of variation of each layer combination in the at least two layer combinations according to the total coefficient of variation of each of the at least two small layers includes:

[0130] The total coefficient of variation of the sub-layers within each layer in the target layer combination is calculated by the following formula:

[0131] B i =max(F mi ) / min(F mi );

[0132] Among them, B i represents the total coefficient of variation of the small layer within the i-th layer in the target layer combination; max(F mi ) represents the maximum value of the total coefficient of variation of the small layer within the i-th layer in the target layer combination; min(F mi ) represents the minimum value of the total coefficient of variation of the sublayer within the i-th layer in the target layer combination;

[0133] According to the total coefficient of variation level difference of the small layers within each layer in the target layer combination, the inter-layer coefficient of variation of the target layer combination is obtained.

[0134] In a possible implementation, the inter-layer variation coefficient of the target layer combination is obtained according to the total variation coefficient difference of the small layers within each layer in the target layer combination, including:

[0135] The average value of the total coefficient of variation of the small layers within each layer in the target layer combination is taken to obtain the coefficient of variation between layers of the target layer combination.

[0136] In the embodiment of the present disclosure, the coefficient of variation and the level difference B within each layer division scheme can be calculated. i Then calculate the coefficient of variation between layers for each layer division scheme. Assuming that the oil layer is divided into k layers, then:

[0137]

[0138] Among them, V B represents the coefficient of variation between scheme strata; Represents the average value of the coefficient of variation and the spread within the scheme hierarchy.

[0139] Step 306: among the at least two layer combinations, the layer combination with the smallest inter-layer variation coefficient is determined as the target layer combination.

[0140] In the embodiment of the present disclosure, V B The smaller the V is, the more similar the reservoir properties and development conditions between the layers are, the weaker the heterogeneity is, and the better the layer combination is. B When there are more than one minimum solution, the solution with the least layers (most economical and effective) is selected as the optimal layer combination (i.e. the above-mentioned target layer combination).

[0141] Take the optimization of the formation of IV oil group in the fine reservoir description of D oil field as an example:

[0142] The detailed reservoir description of D oilfield shows that the IV oil group is divided into 4 small layers and 15 single sand layers. The geological reserves, effective thickness of oil layer, permeability, recovery degree, water content and injection pore volume multiple of each single sand layer are determined, see Table 1.

[0143] Table 1

[0144]

[0145] The coefficient of variation of the six parameters of each sublayer was calculated respectively, see Table 2.

[0146] Table 2

[0147]

[0148] The sum of the coefficient of variation of the six parameters of the four sub-layers was calculated respectively, see Table 3.

[0149] Table 3

[0150] Small layer number Small layer Coefficient of variation and / Fi ① Jujube IV-1 1.11 ② Jujube IV-2 1.18 ③ Jujube IV-3 0.80 ④ Citrus IV-4 0.86

[0151] List all possible stratification schemes.

[0152] Calculate all the stratum combination schemes. Combined with the actual situation, the small layers in the stratum must be guaranteed to be continuously distributed from top to bottom. Delete the schemes that do not meet the requirements. There are 7 schemes for all stratum division (small layers are replaced by small layer numbers) (when the number of small layers is large, the acquisition of all stratum combination schemes can be completed with the help of computers). See Table 4.

[0153] Table 4

[0154] Solution Name Solution 1 Solution 2 Solution 3 Solution 4 Solution 5 Solution 6 Solution 7 Layer combination ① / ②③④ ①② / ③④ ①②③ / ④ ① / ② / ③④ ① / ②③ / ④ ①② / ③ / ④ ① / ② / ③ / ④

[0155] The optimal layer division scheme was selected. The coefficient of variation between the layers of each scheme was calculated. The calculation results showed that the coefficient of variation between the layers of schemes 2 and 7 was the smallest, which was 0. At the same time, considering the economic efficiency, the scheme with fewer layers was selected, and finally scheme 2 was determined as the optimal layer division scheme, as shown in Table 5.

[0156] Table 5

[0157]

[0158] To summarize, the scheme shown in the embodiment of the present disclosure divides the reservoir of the target block into multiple small layers each containing one or more single sand layers, and based on the various geological parameters of each single sand layer, determines the differences in geological parameters in each small layer, and then divides the multiple small layers according to various possible division situations to obtain multiple layer combinations, and then calculates the inter-layer variation coefficients between the layers in the various layer combinations, that is, whether the differences in geological parameters are similar between the layers, so as to quantify the advantages and disadvantages of the multiple layer combinations, thereby accurately determining the optimal layer combination and improving the accuracy of the layer combination determination.

[0159] In the scheme shown in the above embodiment of the present disclosure, the process of determining the layer combination by the geological parameters of each single sand layer can be performed by a computer device. For example, after the technician obtains the geological parameters of each single sand layer through stratum comparison and testing, the geological parameters are input into the computer device, and the computer device automatically determines the layer combination according to the evaluation information.

[0160] Figure 4 is a block diagram of a device for determining a development layer combination according to an exemplary embodiment. Figure 4As shown, the development layer combination determination device can be implemented as all or part of a computer device by hardware or a combination of hardware and software to execute Figure 2 or Figure 3 The whole or part of the steps of the method shown in the corresponding embodiment. The development layer combination determination device may include:

[0161] The hierarchical division information acquisition module 401 is used to acquire hierarchical division information of a target block, wherein the hierarchical division information is used to indicate at least two sub-layers in the target block; each of the at least two sub-layers includes at least one single sand layer;

[0162] A geological parameter acquisition module 402 is used to acquire geological parameters of each single sand layer in the at least two small layers, wherein the geological parameters include at least one of geological reserves, effective thickness of oil layer, permeability, recovery degree, water content, and injection pore volume multiple;

[0163] A total variation coefficient acquisition module 403 is used to acquire the total variation coefficient of each of the at least two sub-layers according to the geological parameters of each single sand layer in the at least two sub-layers; the total variation coefficient is used to indicate the difference in geological parameters between the single sand layers in the corresponding sub-layers;

[0164] The layer system combination acquisition module 404 is used to acquire at least two layer system combinations; each of the at least two layer system combinations comprises at least one layer system obtained by dividing the at least two sub-layers in a hierarchical order; each of the at least one layer system comprises at least one sub-layer;

[0165] The inter-layer variation coefficient acquisition module 405 is used to acquire the inter-layer variation coefficient of each layer combination in the at least two layer combinations according to the total variation coefficients of the at least two sub-layers; the inter-layer variation coefficient is used to indicate the difference in the total variation coefficient level difference between each layer in the corresponding layer combination; the total variation coefficient level difference indicates the difference in the total variation coefficient between the sub-layers within the corresponding layer;

[0166] The target layer combination determination module 406 is used to determine the target layer combination from the at least two layer combinations according to the inter-layer variation coefficient of each layer combination in the at least two layer combinations.

[0167] In a possible implementation, the total coefficient of variation acquisition module 403 is used to:

[0168] Obtaining coefficients of variation of various geological parameters of a target sublayer; the coefficients of variation are used to indicate differences between corresponding geological parameters in each single sand layer in the target sublayer; the target sublayer is any one of the at least two sublayers;

[0169] According to the coefficients of variation of various geological parameters of the target sublayer, the total coefficient of variation of the target sublayer is obtained.

[0170] In a possible implementation, the total coefficient of variation acquisition module 403 is used to:

[0171] Obtaining target geological parameters of each single sand layer in the target sublayer; the target geological parameter is any one of geological reserves, effective thickness of oil layer, permeability, recovery degree, water content, and injection pore volume multiple;

[0172] The coefficient of variation of the target geological parameter of the target sublayer is calculated by the following formula:

[0173]

[0174] Among them, C A A represents the coefficient of variation of the target geological parameter of the target layer; j Represents the target geological parameter of the j-th single sand layer in the target sublayer; It represents the average value of the target geological parameters of each single sand layer in the target sublayer; n is the number of single sand layers in the target sublayer.

[0175] In a possible implementation, the total coefficient of variation acquisition module 403 is used to:

[0176] Adding the coefficients of variation of various geological parameters of the target sublayer to obtain the total coefficient of variation of the target sublayer;

[0177] Alternatively, taking a weighted sum of the coefficients of variation of various geological parameters of the target sublayer to obtain a total coefficient of variation of the target sublayer;

[0178] Alternatively, taking an average value of the coefficients of variation of various geological parameters of the target sublayer to obtain a total coefficient of variation of the target sublayer;

[0179] Alternatively, a weighted average is taken for the coefficients of variation of various geological parameters of the target sublayer to obtain a total coefficient of variation of the target sublayer.

[0180] In a possible implementation, the inter-layer variation coefficient acquisition module 405 is used to:

[0181] The total coefficient of variation of the sub-layers within each layer in the target layer combination is calculated by the following formula:

[0182] B i =max(F mi ) / min(F mi );

[0183] Among them, B i represents the total coefficient of variation of the small layer within the i-th layer in the target layer combination; max(F mi ) represents the maximum value of the total coefficient of variation of the small layer within the i-th layer in the target layer combination; min(F mi ) represents the minimum value of the total coefficient of variation of the sublayer within the i-th layer in the target layer combination;

[0184] The inter-layer variation coefficient of the target layer combination is obtained according to the total variation coefficient difference of the small layers within each layer in the target layer combination.

[0185] In a possible implementation, the inter-layer variation coefficient acquisition module 405 is used to:

[0186] The average value of the total coefficient of variation of the small layers within each layer in the target layer combination is taken to obtain the inter-layer coefficient of variation of the target layer combination.

[0187] In a possible implementation, the target layer combination determination module 406 is used to determine the layer combination with the smallest inter-layer variation coefficient among the at least two layer combinations as the target layer combination.

[0188] To summarize, the scheme shown in the embodiment of the present disclosure divides the reservoir of the target block into multiple small layers each containing one or more single sand layers, and based on the various geological parameters of each single sand layer, determines the differences in geological parameters in each small layer, and then divides the multiple small layers according to various possible division situations to obtain multiple layer combinations, and then calculates the inter-layer variation coefficients between the layers in the various layer combinations, that is, whether the differences in geological parameters are similar between the layers, so as to quantify the advantages and disadvantages of the multiple layer combinations, thereby accurately determining the optimal layer combination and improving the accuracy of the layer combination determination.

[0189] One point that needs to be explained is that the device provided in the above embodiment only uses the division of the above-mentioned functional modules as an example to implement its functions. In actual applications, the above-mentioned functions can be assigned to different functional modules according to actual needs, that is, the content structure of the device can be divided into different functional modules to complete all or part of the functions described above.

[0190] Regarding the device in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0191] Figure 51 is a schematic diagram of the structure of a computer device according to an exemplary embodiment. The computer device 500 includes a central processing unit (CPU) 501, a system memory 504 including a random access memory (RAM) 502 and a read-only memory (ROM) 503, and a system bus 505 connecting the system memory 504 and the central processing unit 501. The computer device 500 also includes a basic input / output system (I / O system) 506 for helping to transmit information between various devices in the computer device, and a large-capacity storage device 507 for storing an operating system 513, an application program 514 and other program modules 515.

[0192] The basic input / output system 506 includes a display 508 for displaying information and an input device 509 such as a mouse and a keyboard for user inputting information. The display 508 and the input device 509 are connected to the central processing unit 501 through an input / output controller 510 connected to the system bus 505. The basic input / output system 506 may also include an input / output controller 510 for receiving and processing inputs from a plurality of other devices such as a keyboard, a mouse, or an electronic stylus. Similarly, the input / output controller 510 also provides output to a display screen, a printer, or other types of output devices.

[0193] The mass storage device 507 is connected to the central processing unit 501 via a mass storage controller (not shown) connected to the system bus 505. The mass storage device 507 and its associated computer device readable medium provide non-volatile storage for the computer device 500. That is, the mass storage device 507 may include a computer device readable medium (not shown) such as a hard disk or a compact disc read-only memory (CD-ROM) drive.

[0194] Without loss of generality, the computer device readable medium may include computer device storage media and communication media. Computer device storage media include volatile and non-volatile, removable and non-removable media implemented by any method or technology for storing information such as computer device readable instructions, data structures, program modules or other data. Computer device storage media include RAM, ROM, Erasable Programmable Read Only Memory (EPROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), CD-ROM, Digital Video Disc (DVD) or other optical storage, cassette, tape, disk storage or other magnetic storage devices. Of course, those skilled in the art will know that the computer device storage medium is not limited to the above. The above-mentioned system memory 504 and mass storage device 507 can be collectively referred to as memory.

[0195] According to various embodiments of the present disclosure, the computer device 500 can also be connected to a remote computer device on a network through a network such as the Internet. That is, the computer device 500 can be connected to a network 512 through a network interface unit 511 connected to the system bus 505, or the network interface unit 511 can be used to connect to other types of networks or remote computer device systems (not shown).

[0196] The memory also includes one or more programs, which are stored in the memory. The CPU 501 implements the Figure 2 or Figure 3 All or part of the steps of the method shown.

[0197] Those skilled in the art should be aware that in one or more of the above examples, the functions described in the embodiments of the present disclosure can be implemented with hardware, software, firmware, or any combination thereof. When implemented using software, these functions can be stored in a computer device readable medium or transmitted as one or more instructions or codes on a computer device readable medium. Computer device readable media include computer device storage media and communication media, wherein the communication medium includes any medium that facilitates the transmission of computer device programs from one place to another. The storage medium can be any available medium that a general or special computer device can access.

[0198] An embodiment of the present disclosure also provides a computer device, which includes a processor and a memory, wherein the memory stores at least one instruction, at least one program, a code set or an instruction set, and the at least one instruction, the at least one program, the code set or the instruction set are loaded and executed by the processor to implement the above-mentioned development layer combination determination method.

[0199] An embodiment of the present disclosure also provides a computer-readable storage medium, which stores at least one instruction, at least one program, a code set or an instruction set. The at least one instruction, the at least one program, the code set or the instruction set is loaded and executed by a processor to implement the above-mentioned development layer combination determination method.

[0200] The embodiment of the present disclosure also provides a computer program product or a computer program, which includes computer instructions, and the computer instructions are stored in a computer-readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the above-mentioned development layer system combination determination method.

[0201] Those skilled in the art will readily appreciate other embodiments of the present disclosure after considering the specification and practicing the invention disclosed herein. The present disclosure is intended to cover any variations, uses or adaptations of the present disclosure that follow the general principles of the present disclosure and include common knowledge or customary techniques in the art that are not disclosed in the present disclosure. The description and examples are to be considered exemplary only, and the true scope and spirit of the present disclosure are indicated by the following claims.

[0202] It should be understood that the present disclosure is not limited to the exact structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. A method for determining a combination of development layers, characterized in that: The method comprises: Acquire hierarchical division information of a target block, wherein the hierarchical division information is used to indicate at least two sub-layers in the target block; each of the at least two sub-layers includes at least one single sand layer; Obtaining geological parameters of each single sand layer in the at least two small layers, wherein the geological parameters include at least one of geological reserves, effective thickness of oil layer, permeability, recovery degree, water content, and injection pore volume multiple; According to the geological parameters of each single sand layer in the at least two small layers, obtaining the total coefficient of variation of each of the at least two small layers; the total coefficient of variation is used to indicate the difference in geological parameters between the single sand layers in the corresponding small layers; Acquire at least two layer system combinations; each of the at least two layer system combinations comprises at least one layer system obtained by dividing the at least two sublayers in hierarchical order; each of the at least one layer system comprises at least one sublayer; According to the total coefficient of variation of each of the at least two small layers, the inter-layer coefficient of variation of each layer combination in the at least two layer combinations is obtained; the inter-layer coefficient of variation is used to indicate the difference in the total coefficient of variation level difference between each layer in the corresponding layer combination; the total coefficient of variation level difference indicates the difference in the total coefficient of variation between the small layers within the corresponding layer; A target layer combination is determined from the at least two layer combinations according to the inter-layer variation coefficient of each layer combination in the at least two layer combinations.

2. The method according to claim 1, characterized in that According to the geological parameters of each single sand layer in the at least two small layers, obtaining the total coefficient of variation of each of the at least two small layers comprises: Obtaining coefficients of variation of various geological parameters of a target sublayer; the coefficients of variation are used to indicate differences between corresponding geological parameters in each single sand layer in the target sublayer; the target sublayer is any one of the at least two sublayers; According to the coefficients of variation of various geological parameters of the target sublayer, the total coefficient of variation of the target sublayer is obtained.

3. The method according to claim 2, characterized in that The geological parameters include at least two of geological reserves, effective thickness of oil layer, permeability, recovery degree, water content, and injection pore volume multiple; the coefficient of variation of various geological parameters of the target sublayer includes: Obtaining target geological parameters of each single sand layer in the target sublayer; the target geological parameter is any one of geological reserves, effective thickness of oil layer, permeability, recovery degree, water content, and injection pore volume multiple; The coefficient of variation of the target geological parameter of the target sublayer is calculated by the following formula: Among them, C A A represents the coefficient of variation of the target geological parameter of the target layer; j Represents the target geological parameter of the j-th single sand layer in the target sublayer; It represents the average value of the target geological parameters of each single sand layer in the target sublayer; n is the number of single sand layers in the target sublayer.

4. The method according to claim 2, characterized in that: The step of obtaining the total coefficient of variation of the target sublayer according to the coefficients of variation of various geological parameters of the target sublayer comprises: Adding the coefficients of variation of various geological parameters of the target sublayer to obtain the total coefficient of variation of the target sublayer; Alternatively, taking a weighted sum of the coefficients of variation of various geological parameters of the target sublayer to obtain a total coefficient of variation of the target sublayer; Alternatively, taking an average value of the coefficients of variation of various geological parameters of the target sublayer to obtain a total coefficient of variation of the target sublayer; Alternatively, a weighted average is taken for the coefficients of variation of various geological parameters of the target sublayer to obtain a total coefficient of variation of the target sublayer.

5. The method according to claim 1, characterized in that The step of obtaining the difference of the total coefficient of variation of each layer combination in the at least two layer combinations according to the total coefficient of variation of each of the at least two small layers comprises: The total coefficient of variation of the sub-layers within each layer in the target layer combination is calculated by the following formula: B i =max(F mi ) / min(F mi ); Among them, B i represents the total coefficient of variation of the small layer within the i-th layer in the target layer combination; max(F mi ) represents the maximum value of the total coefficient of variation of the small layer within the i-th layer in the target layer combination; min(F mi ) represents the minimum value of the total coefficient of variation of the sublayer within the i-th layer in the target layer combination; The inter-layer variation coefficient of the target layer combination is obtained according to the total variation coefficient difference of the small layers within each layer in the target layer combination.

6. The method according to claim 5, characterized in that The step of obtaining the inter-stratum variation coefficient of the target stratum combination according to the total variation coefficient difference of the small layers within each stratum in the target stratum combination comprises: The average value of the total coefficient of variation of the small layers within each layer in the target layer combination is taken to obtain the inter-layer coefficient of variation of the target layer combination.

7. The method according to claim 1, characterized in that The step of determining a target layer combination from the at least two layer combinations according to the layer variation coefficient of each layer combination in the at least two layer combinations comprises: Among the at least two layer system combinations, the layer system combination with the smallest inter-layer variation coefficient is determined as the target layer system combination.

8. A device for determining a combination of development layers, characterized in that: The device comprises: A layer division information acquisition module is used to acquire the layer division information of the target block, wherein the layer division information is used to indicate at least two small layers in the target block; each of the at least two small layers includes at least one single sand layer; A geological parameter acquisition module, used to acquire geological parameters of each single sand layer in the at least two small layers, wherein the geological parameters include at least one of geological reserves, effective thickness of oil layer, permeability, recovery degree, water content, and injection pore volume multiple; A total variation coefficient acquisition module is used to acquire the total variation coefficient of each of the at least two sub-layers according to the geological parameters of each single sand layer in the at least two sub-layers; the total variation coefficient is used to indicate the difference in geological parameters between the single sand layers in the corresponding sub-layers; A layer system combination acquisition module is used to acquire at least two layer system combinations; each of the at least two layer system combinations comprises at least one layer system obtained by dividing the at least two sub-layers in hierarchical order; each of the at least one layer system comprises at least one sub-layer; The inter-layer variation coefficient acquisition module is used to acquire the inter-layer variation coefficient of each layer combination in the at least two layer combinations according to the total variation coefficients of the at least two small layers; the inter-layer variation coefficient is used to indicate the difference in the total variation coefficient level difference between the layers in the corresponding layer combination; the total variation coefficient level difference indicates the difference in the total variation coefficient between the small layers within the corresponding layer; The target layer combination determination module is used to determine the target layer combination from the at least two layer combinations according to the inter-layer variation coefficient of each layer combination in the at least two layer combinations.

9. A computer device, characterized in that: The computer device includes a processor and a memory, wherein the memory stores at least one instruction, at least one program, a code set or an instruction set, and the at least one instruction, the at least one program, the code set or the instruction set are loaded and executed by the processor to implement the development layer system combination determination method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The storage medium stores at least one instruction, at least one program, a code set or an instruction set, and the at least one instruction, the at least one program, the code set or the instruction set is loaded and executed by the processor to implement the development layer combination determination method as described in any one of claims 1 to 7.

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