Fractured interval determination method and device, electronic equipment and storage medium

Abstract

The invention discloses a fracturing interval determination method and device, electronic equipment and a storage medium. The method comprises the following steps: determining an alteration type of each layer section according to logging information of the conglomerate reservoir, and determining a reservoir quality evaluation index of each layer section according to the alteration type of each layer section; according to array acoustic logging information of the conglomerate reservoir, determining an engineering quality evaluation index of each layer section; according to the reservoir quality evaluation index and the engineering quality evaluation index of each layer section, the fracturing performance of each layer section is determined; and according to the fracturing property of each layer section, determining a fractured layer section in each layer section. By using the technical scheme provided by the invention, systematic fracturing evaluation of the conglomerate reservoirs with different alteration degrees can be realized, and fracturing layer selection of the conglomerate reservoirs is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of reservoir evaluation, and in particular to a method, device, electronic equipment and storage medium for determining a fracturing layer segment. Background Art

[0002] Gravel reservoirs are generally rapid near-source deposits under strong hydrodynamic conditions, and mainly include four lithologic combinations: conglomerate, gravelly sandstone, gravelly sandstone, and mudstone. The lithologic variations are large, the phase belts change rapidly, and the heterogeneity is strong, resulting in complex logging response characteristics, great difficulty in qualitative and quantitative evaluation, and no natural production capacity. Fracturing is required before production, so the degree of utilization is generally low.

[0003] Due to the complex modal structure of conglomerate reservoirs, different reservoirs have different degrees of alteration. The different degrees of alteration lead to changes in lithology and reservoir properties. Unlike conventional sandstone reservoirs, the logging response characteristics of conglomerate reservoirs are more complex. How to calculate reserves and evaluate fracturing properties of conglomerate reservoirs and select fracturing intervals vertically in conglomerate reservoirs are prerequisites for the economic development of conglomerate reservoirs. Summary of the invention

[0004] The present invention provides a method, device, electronic equipment and storage medium for determining a fracturing layer section, so as to realize a systematic fracturing evaluation of conglomerate reservoirs with different degrees of alteration, and realize the fracturing layer selection of the conglomerate reservoirs.

[0005] In a first aspect, an embodiment of the present invention provides a method for determining a fracturing layer segment, the method comprising:

[0006] According to the logging data of the conglomerate reservoir, the alteration type of each layer is determined, and according to the alteration type of each layer, the reservoir quality evaluation index of each layer is determined;

[0007] Determine the engineering quality evaluation index of each layer based on the array sonic logging data of the conglomerate reservoir;

[0008] Determine the fracturing ability of each layer according to the reservoir quality evaluation index and engineering quality evaluation index of each layer;

[0009] According to the fracturing properties of each layer, a fracturing layer is determined in each layer.

[0010] In a second aspect, an embodiment of the present invention further provides a device for determining a fracturing layer segment, the device comprising:

[0011] The reservoir quality evaluation index determination module is used to determine the alteration type of each layer according to the logging data of the conglomerate reservoir, and determine the reservoir quality evaluation index of each layer according to the alteration type of each layer;

[0012] The engineering quality evaluation index determination module is used to determine the engineering quality evaluation index of each layer according to the array acoustic logging data of the conglomerate reservoir;

[0013] A fracturing determination module is used to determine the fracturing of each layer segment according to the reservoir quality evaluation index and engineering quality evaluation index of each layer segment;

[0014] The fracturing layer selection module is used to determine the fracturing layer sections in each layer section according to the fracturing properties of each layer section.

[0015] In a third aspect, an embodiment of the present invention further provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, a method for determining a fracturing layer segment as described in any one of the embodiments of the present invention is implemented.

[0016] In a fourth aspect, an embodiment of the present invention further provides a storage medium storing computer executable instructions, wherein the computer executable instructions, when executed by a computer processor, are used to execute the method for determining a fractured layer segment as described in any one of the embodiments of the present invention.

[0017] The technical solution of the embodiment of the present invention determines the alteration type of each layer according to the logging data of the conglomerate reservoir, determines the reservoir quality evaluation index of each layer according to the alteration type of each layer, determines the engineering quality evaluation index of each layer according to the array acoustic logging data of the conglomerate reservoir, determines the fracturing ability of each layer according to the reservoir quality evaluation index and the engineering quality evaluation index of each layer, and thus determines the fracturing layer in each layer. It realizes a systematic fracturing ability evaluation of conglomerate reservoirs with different alteration degrees based on multi-dimensional logging information and different alteration degrees, realizes the fracturing layer selection of conglomerate reservoirs, and lays a foundation for the economic development of conglomerate reservoirs.

[0018] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0020] Figure 1 is a flow chart of a method for determining a fracturing layer section provided in Embodiment 1 of the present invention;

[0021] Figure 2 It is a structural schematic diagram of a device for determining a fracturing layer section provided in Embodiment 2 of the present invention;

[0022] Figure 3 It is a structural schematic diagram of an electronic device provided in Embodiment 3 of the present invention. DETAILED DESCRIPTION

[0023] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0024] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0025] Embodiment 1

[0026] Figure 1 A flowchart of a method for determining a fracturing layer segment is provided for the first embodiment of the present invention. This embodiment is applicable to the case of fracturing and selecting layers for conglomerate reservoirs. The method can be executed by a device for determining a fracturing layer segment. The device for determining a fracturing layer segment can be implemented in the form of hardware and / or software. The device for determining a fracturing layer segment can be configured in an electronic device.

[0027] like Figure 1 As shown, the method includes:

[0028] S110. Determine the alteration type of each layer according to the logging data of the conglomerate reservoir, and determine the reservoir quality evaluation index of each layer according to the alteration type of each layer.

[0029] Among them, the logging data of the conglomerate reservoir may include various types of logging curves of the conglomerate reservoir. In this embodiment, the logging curves with a strong correlation with the alteration degree of the conglomerate reservoir can be screened as the logging data. Specifically, the historical logging data of the conglomerate reservoir with a known alteration degree can be obtained, and the correlation between the various types of historical logging curves in the historical conglomerate reservoir logging data and the known alteration degree is analyzed, and a preset number of logging curve types with the strongest correlation are selected. The logging curves corresponding to the preset number of logging curve types are used as the logging data for determining the alteration type of each layer of the conglomerate reservoir. Exemplarily, the logging data of the conglomerate reservoir may include resistivity logging curves, sonic logging curves, and density logging curves. However, this embodiment does not limit the type of logging data of the conglomerate reservoir.

[0030] The layer section refers to the stratigraphic section of the conglomerate reservoir divided by depth from the vertical section. The alteration type can be divided into high alteration, medium alteration, low alteration and unaltered according to the degree of alteration. Among them, the unaltered layer section has a high feldspar content, high resistivity, low acoustic time difference, high density logging response characteristics, low clay content, and the rock does not form an effective reservoir. The resistivity of the low altered layer section is usually between 57-299ohm﹒m, the acoustic wave is usually between 55-61us / ft, and the density is usually 2.55-2.61g / cm 3 , low clay content, low porosity, and a small amount of dissolution microcracks. The resistivity of the medium altered layer is usually between 12-57ohm﹒m, the acoustic wave is usually 61-86us / ft, and the density is usually 2.43-2.55g / cm 3 , with high porosity and medium clay content, the quartz and clay content is increased compared with the unaltered and low-altered reservoirs, and the dissolution pores are developed in large numbers. The resistivity of highly altered reservoirs is usually between 9-12ohm﹒m, the acoustic wave is usually 86-100us / ft, and the density is usually 2.31-2.43g / cm 3 , high clay content, developed dissolved pores, and good reservoir quality. Among them, the resistivity range, acoustic wave range, and density range corresponding to different alteration types can be determined by statistically analyzing the historical resistivity logging curves, historical acoustic logging curves, and historical density logging curves of known alteration degrees.

[0031] In this embodiment, since the degree of alteration determines the mineral characteristics and physical properties of the conglomerate reservoir rock, and further determines the electrical properties and other characteristics, the classification of alteration types of the conglomerate reservoir is the basis for evaluating the fracturing properties of the conglomerate reservoir.

[0032] Furthermore, the alteration type of each layer segment can be determined based on the logging data of the conglomerate reservoir. Cluster analysis can be performed on each layer segment based on the resistivity logging curve, sonic logging curve and density logging curve of the conglomerate reservoir, and the alteration type corresponding to each layer segment can be determined by combining the resistivity range, sonic range and density range corresponding to different alteration types.

[0033] The reservoir quality evaluation index is used to assess the effectiveness of reservoir space, the effectiveness of seepage channels, the mobilization degree of fluids and the seepage characteristics.

[0034] Furthermore, according to the alteration type of each layer, the reservoir quality evaluation index of each layer can be determined by the following steps:

[0035] A1. Determine the porosity and permeability of each layer based on the skeleton parameters that match the alteration type of each layer.

[0036] Among them, skeleton parameters refer to the physical parameters of the conglomerate skeleton, which may include skeleton density, skeleton acoustic wave value, skeleton neutron and mudstone resistivity, etc. The skeleton parameters may be determined by core analysis and statistical analysis of logging data. For example, skeleton parameters of different alteration types are shown in Table 1 below:

[0037] Table 1

[0038] Skeleton Parameters Low alteration Medium alteration High alteration Skeleton density (g / cc) 2.59 2.66 2.25 Frame sound wave value (us / ft) 48.33 47.03 114.45 Framework neutrons (%) 0.053 0.04 0.091 Mudstone resistivity (ohm.m) 5.8 4.2 3.3

[0039] In this example, different framework parameters are set for different alteration types, which lays a foundation for the detailed interpretation of the porosity of conglomerate reservoirs with different alteration degrees.

[0040] Porosity is an important parameter that reflects reservoir physical properties. Porosity can include total porosity, which can be further divided into bound porosity and movable porosity. The size of total porosity can reflect the reservoir's ability to store fluids and is a very important parameter for evaluating reservoirs.

[0041] Permeability is an important parameter for evaluating the properties and production capacity of oil and gas reservoirs. Permeability is affected by many factors, including rock particle size, pore tortuosity, pore throat radius, fluid properties, and clay distribution.

[0042] A2. Determine the reservoir quality evaluation index of each layer segment based on the porosity and permeability of each layer segment.

[0043] Reservoir porosity and permeability determine the reservoir's ability to store and seep flow. Based on the porosity and permeability of each layer, the reservoir quality of each layer can be evaluated.

[0044] Furthermore, A1 can be implemented by the following steps:

[0045] A11. Determine the total porosity of the target layer based on the skeleton parameters and multi-mineral interpretation model that match the alteration type of the target layer.

[0046] Among them, the multi-mineral interpretation model is based on the principle of logging response analysis. It can use the optimal interpretation method to process the logging data of complex lithological formations and calculate logging parameters such as mineral volume content, porosity, and saturation.

[0047] In this embodiment, the mineral composition of the conglomerate reservoir is complex, and the changes in the rock and mineral composition make it difficult to accurately determine the rock skeleton parameters, so it is difficult to evaluate the reservoir. Therefore, using a multi-mineral interpretation model to calculate the total porosity is a more effective and accurate method. The calculation of total porosity and effective porosity can be achieved through the optimization interpretation method.

[0048] A12. Determine the bound porosity and movable porosity of the target layer based on the interpretation of NMR logging.

[0049] A13. Determine the permeability of the target layer based on the bound porosity, movable porosity and total porosity of the target layer.

[0050] Specifically, the permeability of the target layer can be calculated by the following formula: Where K represents permeability, C, α, and b are constants, FFV is the movable porosity, BVI is the bound porosity, and PHI is the total porosity.

[0051] Furthermore, A2 can be achieved in the following way: the reservoir quality evaluation index of each layer section is determined according to the porosity, permeability, effective reservoir thickness and clay content of each layer section.

[0052] Among them, the effective thickness of the reservoir determines the scale of the reservoir reserves, and the clay content of the reservoir affects the oil content of the reservoir. Therefore, this embodiment combines porosity, permeability, effective thickness of the reservoir and clay content to comprehensively judge the static quality of the reservoir.

[0053] Specifically, the reservoir quality evaluation index can be calculated by the following formula: Among them, RQIC represents the reservoir quality evaluation index, a and b represent weight coefficients, PHI represents the total porosity, K represents the permeability, h represents the effective thickness of the reservoir, and wcs represents the clay content.

[0054] Among them, a and b can be determined according to the correlation between the reservoir production capacity and reservoir parameters, the effective thickness of the reservoir can be obtained according to the reservoir parameter cutoff values ​​PHI>10%&SW<70%&wcs<40%, and the clay content can be obtained according to the A11 multi-mineral interpretation.

[0055] S120. Determine the engineering quality evaluation index of each layer based on the array sonic logging data of the conglomerate reservoir.

[0056] Among them, array acoustic logging data refers to the data obtained by array acoustic logging of conglomerate reservoirs. Based on the array acoustic logging data, elastic mechanical parameters such as Poisson's ratio and Young's modulus can be obtained. The engineering quality evaluation index is used to evaluate the fracturing ability of conglomerate reservoirs. Fracturing ability refers to the ability of reservoir rocks to be effectively fractured after hydraulic fracturing.

[0057] In this embodiment, elastic mechanical parameters such as Poisson's ratio and Young's modulus can be obtained through array acoustic logging data, and elastic mechanical parameters such as Poisson's ratio and Young's modulus are correlated with rock brittleness. Specifically, the larger the Young's modulus, the smaller the Poisson's ratio, and the better the rock brittleness. The strength of rock brittleness is the most important factor affecting the fracturing of the reservoir. The brittleness index characterizes the speed (difficulty) of transient changes before the rock breaks, and reflects the complexity of the cracks formed after the reservoir is fractured. Therefore, the fracturing of the reservoir can be characterized by rock brittleness, that is, the engineering quality evaluation index can be characterized by the brittleness coefficient.

[0058] Furthermore, S120 can be implemented by the following steps:

[0059] B1. Determine the P-wave time difference and S-wave time difference of the target layer based on the array acoustic logging data of the conglomerate reservoir, and determine the volume density of the target layer based on the density logging data of the conglomerate reservoir.

[0060] Density logging data includes the intensity of scattered gamma rays generated by the interaction between the gamma rays emitted by the gamma source and the surrounding materials. This intensity is related to the bulk density of the conglomerate. Therefore, the bulk density of the target layer can be determined based on the density logging data.

[0061] Furthermore, if array acoustic logging has not been performed in the current well and there is no array acoustic logging data, it is possible to construct a shear wave logging curve based on the existing logging curve and the quantitative calculation of the volume of rock mineral components according to the content of different mineral components, thereby realizing the calculation of subsequent mechanical parameters.

[0062] B2. Determine the dynamic Poisson's ratio of the target layer segment based on the longitudinal wave time difference and the transverse wave time difference, and determine the dynamic Young's modulus of the target layer segment based on the longitudinal wave time difference, volume density and the dynamic Poisson's ratio.

[0063] Specifically, the dynamic Poisson's ratio can be calculated by the following formula: Where μ represents the dynamic Poisson’s ratio, Δt s represents the shear wave time difference, Δt c Represents the longitudinal wave time difference.

[0064] The dynamic Young's modulus can be calculated by the following formula: Where E represents the dynamic Young's modulus, ρ b represents volume density, β represents the unit conversion coefficient, which is a constant.

[0065] B3. Convert the dynamic Poisson's ratio of the target layer into a static Poisson's ratio, and convert the dynamic Young's modulus of the target layer into a static Young's modulus.

[0066] In this embodiment, the dynamic mechanical parameters are the mechanical property parameters of the rock under various dynamic loads or periodic loads (such as sound waves, impacts, vibrations, etc.), and the mechanical parameters of the rock under static loads are static mechanical parameters. For loose or underconsolidated formations, the dynamic mechanical parameters and static mechanical parameters may be significantly different, and the deformation and destruction of the wellbore are relatively slow static processes. Therefore, it is necessary to convert the dynamic Poisson's ratio and dynamic Young's modulus into static data.

[0067] Specifically, the dynamic Poisson's ratio and dynamic Young's modulus can be converted using the following formula: E s =a+bE d ;v s =a+bv d , where E s represents the static Young's modulus, E d represents the dynamic Young's modulus, v s represents the static Poisson's ratio, v d represents dynamic Poisson's ratio, and a and b represent conversion coefficients.

[0068] B4. Determine the brittleness coefficient of the target layer segment based on the static Poisson's ratio and the static Young's modulus, and use the brittleness coefficient as the engineering quality evaluation index of the target layer segment.

[0069] In this embodiment, since the units of Poisson's ratio and Young's modulus are very different, in order to evaluate the effect of each parameter on rock brittleness, the units should be homogenized.

[0070] Specifically, the brittleness coefficient can be determined by the following formula: Where BI represents the brittleness coefficient, μ bi represents the normalized static Poisson's ratio, E bi represents the normalized static Young's modulus.

[0071] S130. Determine the fracturing ability of each layer segment according to the reservoir quality evaluation index and engineering quality evaluation index of each layer segment.

[0072] In this embodiment, the reservoir quality and engineering quality are comprehensively considered. On the basis of the determined alteration type of each layer segment, the alteration type of each layer segment is further subdivided and classified according to the reservoir quality evaluation index and the engineering quality evaluation index, as well as the pre-set evaluation criteria, so as to judge the fracturing ability of each layer segment.

[0073] Specifically, the alteration types of each layer segment can be further subdivided and classified into Class I high alteration, Class II high alteration and Class III moderate alteration. Among them, Class I high alteration indicates that the reservoir is highly fracturable and is a layer segment that is given priority for fracturing. Class II high alteration indicates that the reservoir has certain fracturing properties and the fracturing effect is good. Class III moderate alteration indicates that the reservoir is difficult to fracture successfully and oil testing is not recommended.

[0074] Furthermore, S130 can be implemented in the following manner: determining the fracturability of the target layer segment according to the classification interval corresponding to the reservoir quality evaluation index of the target layer segment and the classification interval corresponding to the engineering quality evaluation index.

[0075] Specifically, in this embodiment, the evaluation criteria may be pre-set, and the classification intervals corresponding to different reservoir quality evaluation indices and the classification interval combinations corresponding to different engineering quality evaluation indices correspond to different fracturability types.

[0076] Exemplarily, Table 2 provides a fracturability classification standard based on a reservoir quality evaluation index and an engineering quality evaluation index.

[0077] Table 2

[0078] Fracability Classification Reservoir quality evaluation index Engineering Quality Evaluation Index Production capacity Type I high alteration >3 <32 Fracturing high yield Type II high alteration 1.2-3 32～37 Fracking Type III medium alteration <1.2 >37 Fracturing low production

[0079] Furthermore, the saturation of each layer section can be determined according to the Simendu formula. The fracturability of the target layer section can be determined according to the classification intervals corresponding to the porosity, permeability, saturation, reservoir quality evaluation index, and engineering quality evaluation index of the target layer section.

[0080] In this embodiment, the conglomerate reservoir will form clay minerals such as kaolinite and illite due to alteration and mudification, which makes it difficult to accurately calculate the saturation. Therefore, this embodiment adopts the Simendou formula, a saturation calculation method that takes into account the influence of mud, to calculate the saturation, thereby ensuring the accuracy of the saturation calculation.

[0081] Exemplarily, Table 3 provides a fracturability classification standard based on porosity, permeability, saturation, reservoir quality evaluation index, and engineering quality evaluation index.

[0082] Table 3

[0083]

[0084] S140. Determine a fracturing layer section in each layer section according to the fracturing properties of each layer section.

[0085] Specifically, taking the above classification of fracturability types into Type I high alteration, Type II high alteration and Type III medium alteration as an example, according to the production capacity corresponding to different fracturability types, Type I high alteration and Type II high alteration can be selected as fracturing layers.

[0086] Furthermore, this embodiment also includes: determining the predicted value of oil production of the fracturing layer section according to the reservoir quality evaluation index, engineering quality evaluation index, saturation and effective reservoir thickness of the fracturing layer section.

[0087] In this embodiment, after the fracturing ability of the conglomerate reservoir is evaluated, the oil production of the fracturing layer section can also be predicted, thereby laying a foundation for the economic benefit development of the conglomerate reservoir.

[0088] Specifically, according to the historical cumulative oil production of the conglomerate reservoir, various types of historical logging curves in the historical conglomerate reservoir logging data, and historical parameters calculated according to the historical conglomerate reservoir logging data, oil production correlation analysis is performed to obtain the parameters with the strongest correlation with oil production. In this embodiment, the parameters with the strongest correlation with oil production, including reservoir quality evaluation index, engineering quality evaluation index, saturation, and effective reservoir thickness, are used as examples to predict oil production.

[0089] Specifically, the historical cumulative oil production of the conglomerate reservoir, the historical reservoir quality evaluation index, the historical engineering quality evaluation index, the historical saturation and the historical effective thickness of the reservoir can be used as sample data to train the machine learning model and obtain the production capacity prediction model. The reservoir quality evaluation index, engineering quality evaluation index, saturation and effective thickness of the fracturing layer are input into the production capacity prediction model to obtain the oil production prediction value output by the production capacity prediction model.

[0090] The technical solution of the embodiment of the present invention determines the alteration type of each layer according to the logging data of the conglomerate reservoir, determines the reservoir quality evaluation index of each layer according to the alteration type of each layer, determines the engineering quality evaluation index of each layer according to the array acoustic logging data of the conglomerate reservoir, determines the fracturing ability of each layer according to the reservoir quality evaluation index and the engineering quality evaluation index of each layer, and thus determines the fracturing layer in each layer. It realizes a systematic fracturing ability evaluation of conglomerate reservoirs with different alteration degrees based on multi-dimensional logging information and different alteration degrees, realizes the fracturing layer selection of conglomerate reservoirs, and lays a foundation for the economic development of conglomerate reservoirs.

[0091] Embodiment 2

[0092] Figure 2This is a schematic diagram of the structure of a device for determining a fracturing layer segment provided in the second embodiment of the present invention. Figure 2 As shown, the device comprises:

[0093] The reservoir quality evaluation index determination module 210 is used to determine the alteration type of each layer section according to the well logging data of the conglomerate reservoir, and determine the reservoir quality evaluation index of each layer section according to the alteration type of each layer section;

[0094] The engineering quality evaluation index determination module 220 is used to determine the engineering quality evaluation index of each layer according to the array acoustic logging data of the conglomerate reservoir;

[0095] The fracturability determination module 230 is used to determine the fracturability of each layer segment according to the reservoir quality evaluation index and engineering quality evaluation index of each layer segment;

[0096] The fracturing layer selection module 240 is used to determine the fracturing layer section in each layer section according to the fracturing properties of each layer section.

[0097] The technical solution of the embodiment of the present invention determines the alteration type of each layer according to the logging data of the conglomerate reservoir, determines the reservoir quality evaluation index of each layer according to the alteration type of each layer, determines the engineering quality evaluation index of each layer according to the array acoustic logging data of the conglomerate reservoir, determines the fracturing ability of each layer according to the reservoir quality evaluation index and the engineering quality evaluation index of each layer, and thus determines the fracturing layer in each layer. It realizes a systematic fracturing ability evaluation of conglomerate reservoirs with different alteration degrees based on multi-dimensional logging information and different alteration degrees, realizes the fracturing layer selection of conglomerate reservoirs, and lays a foundation for the economic development of conglomerate reservoirs.

[0098] Based on the above embodiment, the reservoir quality evaluation index determination module 210 includes:

[0099] A porosity and permeability calculation unit is used to determine the porosity and permeability of each layer segment based on the skeleton parameters matching the alteration type of each layer segment;

[0100] The reservoir quality evaluation index calculation unit is used to determine the reservoir quality evaluation index of each layer section according to the porosity and permeability of each layer section.

[0101] Based on the above embodiment, the porosity and permeability calculation unit is specifically used for:

[0102] Determine the total porosity of the target layer based on the skeleton parameters and multi-mineral interpretation model that match the alteration type of the target layer;

[0103] Determine the bound porosity and movable porosity of the target layer based on NMR logging interpretation;

[0104] The permeability of the target layer is determined based on the bound porosity, movable porosity and total porosity of the target layer.

[0105] Based on the above embodiment, the reservoir quality evaluation index calculation unit is specifically used for:

[0106] The reservoir quality evaluation index of each layer is determined based on the porosity, permeability, effective reservoir thickness and clay content of each layer.

[0107] Based on the above embodiment, the project quality evaluation index determination module 220 includes:

[0108] A data determination unit, for determining the P-wave time difference and S-wave time difference of the target layer section according to the array acoustic logging data of the conglomerate reservoir, and for determining the volume density of the target layer section according to the density logging data of the conglomerate reservoir;

[0109] A dynamic data determination unit, used for determining a dynamic Poisson's ratio of a target layer according to a P-wave time difference and a S-wave time difference, and determining a dynamic Young's modulus of the target layer according to the P-wave time difference, a volume density and a dynamic Poisson's ratio;

[0110] a static data determination unit, used for converting the dynamic Poisson's ratio of the target layer section into a static Poisson's ratio, and converting the dynamic Young's modulus of the target layer section into a static Young's modulus;

[0111] The engineering quality evaluation index determination unit is used to determine the brittleness coefficient of the target layer section according to the static Poisson's ratio and the static Young's modulus, and use the brittleness coefficient as the engineering quality evaluation index of the target layer section.

[0112] Based on the above embodiment, the fracturability determination module 230 includes:

[0113] The fracturability judgment unit is used to determine the fracturability of the target layer segment according to the classification interval corresponding to the reservoir quality evaluation index of the target layer segment and the classification interval corresponding to the engineering quality evaluation index.

[0114] Based on the above embodiment, the device further includes:

[0115] The saturation determination module is used to determine the saturation of each layer according to the Simendu formula;

[0116] The oil production prediction module is used to determine the oil production prediction value of the fracturing layer section according to the reservoir quality evaluation index, engineering quality evaluation index, saturation and effective reservoir thickness of the fracturing layer section.

[0117] The device for determining a fracturing layer section provided in the embodiment of the present invention can execute the method for determining a fracturing layer section provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0118] Embodiment 3

[0119] Figure 3 A schematic diagram of the structure of an electronic device 10 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0120] like Figure 3 As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0121] A number of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0122] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as a method for determining a fractured layer segment.

[0123] In some embodiments, the method for determining the fractured layer segment may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the method for determining the fractured layer segment described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to execute the method for determining the fractured layer segment in any other appropriate manner (e.g., by means of firmware).

[0124] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0125] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0126] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0127] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0128] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0129] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0130] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0131] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for determining a fracturing layer segment, characterized in that: include: According to the logging data of the conglomerate reservoir, the alteration type of each layer is determined, and according to the alteration type of each layer, the reservoir quality evaluation index of each layer is determined; Determine the engineering quality evaluation index of each layer based on the array sonic logging data of the conglomerate reservoir; Determine the fracturing ability of each layer according to the reservoir quality evaluation index and engineering quality evaluation index of each layer; According to the fracturing properties of each layer, a fracturing layer is determined in each layer.

2. The method according to claim 1, characterized in that According to the alteration type of each layer, the reservoir quality evaluation index of each layer is determined, including: The porosity and permeability of each layer are determined based on the skeleton parameters that match the alteration type of each layer; According to the porosity and permeability of each layer, the reservoir quality evaluation index of each layer is determined.

3. The method according to claim 2, characterized in that The porosity and permeability of each layer are determined based on the skeleton parameters that match the alteration type of each layer, including: Determine the total porosity of the target layer based on the skeleton parameters and multi-mineral interpretation model that match the alteration type of the target layer; Determine the bound porosity and movable porosity of the target layer based on NMR logging interpretation; The permeability of the target layer is determined based on the bound porosity, movable porosity and total porosity of the target layer.

4. The method according to claim 2, characterized in that: According to the porosity and permeability of each layer, the reservoir quality evaluation index of each layer is determined, including: The reservoir quality evaluation index of each layer is determined based on the porosity, permeability, effective reservoir thickness and clay content of each layer.

5. The method according to claim 1, characterized in that Based on the array sonic logging data of the conglomerate reservoir, the engineering quality evaluation index of each layer is determined, including: Determine the P-wave time difference and S-wave time difference of the target layer according to the array sonic logging data of the conglomerate reservoir, and determine the volume density of the target layer according to the density logging data of the conglomerate reservoir; Determine the dynamic Poisson's ratio of the target layer according to the P-wave time difference and the S-wave time difference, and determine the dynamic Young's modulus of the target layer according to the P-wave time difference, the volume density and the dynamic Poisson's ratio; Converting the dynamic Poisson's ratio of the target layer into a static Poisson's ratio, and converting the dynamic Young's modulus of the target layer into a static Young's modulus; According to the static Poisson's ratio and the static Young's modulus, the brittleness coefficient of the target layer section is determined, and the brittleness coefficient is used as the engineering quality evaluation index of the target layer section.

6. The method according to claim 1, characterized in that According to the reservoir quality evaluation index and engineering quality evaluation index of each layer, the fracturing ability of each layer is determined, including: The fracturing ability of the target layer section is determined according to the classification interval corresponding to the reservoir quality evaluation index of the target layer section and the classification interval corresponding to the engineering quality evaluation index.

7. The method according to claim 1, characterized in that The method further comprises: According to the Simendu formula, the saturation of each layer is determined; After determining the fracturing intervals in each layer according to the fracturing properties of each layer, the following steps are also included: The predicted oil production value of the fracturing layer section is determined based on the reservoir quality evaluation index, engineering quality evaluation index, saturation and effective reservoir thickness of the fracturing layer section.

8. A device for determining a fracturing layer segment, characterized in that: include: The reservoir quality evaluation index determination module is used to determine the alteration type of each layer according to the logging data of the conglomerate reservoir, and determine the reservoir quality evaluation index of each layer according to the alteration type of each layer; The engineering quality evaluation index determination module is used to determine the engineering quality evaluation index of each layer according to the array acoustic logging data of the conglomerate reservoir; A fracturing determination module is used to determine the fracturing of each layer segment according to the reservoir quality evaluation index and engineering quality evaluation index of each layer segment; The fracturing layer selection module is used to determine the fracturing layer sections in each layer section according to the fracturing properties of each layer section.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the method for determining the fractured layer segment as described in any one of claims 1-7 is implemented.

10. A storage medium storing computer executable instructions, characterized in that: When the computer executable instructions are executed by a computer processor, the computer executable instructions are used to perform the method for determining a fractured layer segment as claimed in any one of claims 1 to 7.

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