Fracturing staged clustering method and device for horizontal well

Abstract

The embodiment of the invention provides a fracturing staged clustering method and device for a horizontal well. The method comprises the steps that well periphery natural fracture distribution data and well logging interpretation data of a target horizontal well are obtained; according to the well periphery natural fracture distribution data and the well logging interpretation data, performing preliminary segmentation on a well periphery reservoir of the target horizontal well to obtain different types of reservoirs; horizontal well clustering fracturing crack propagation models are constructed for the different types of reservoirs respectively; performing fracture propagation simulation according to the horizontal well clustering fracturing fracture propagation model to obtain a fracturing fracture form; determining single-section perforation cluster parameters of different types of reservoirs according to the fracturing fracture form; and according to the single-section perforation cluster parameters and the well logging interpretation data, the specific section position and the perforation cluster position of the target horizontal well are determined. According to the method, the unconventional oil and gas reservoir fracturing transformation effect can be improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of geology and oil production, in particular to a fracturing segmentation and clustering method and device for horizontal well. BACKGROUND

[0002] Large-scale hydraulic fracturing in horizontal well is an important means for economic and effective development of unconventional oil and gas reservoirs. The existing technology mainly bases on reservoir characteristics, fracturing reconstruction technology and fracturing reconstruction target for the design and research of segmentation and clustering of horizontal well in unconventional oil and gas reservoirs. In addition to low porosity and low permeability, unconventional oil and gas reservoirs generally have strong reservoir heterogeneity and large difference in natural fracture development. With the progress of development technology, the horizontal section of unconventional oil and gas reservoir development well is getting shorter, the number of fracturing sections and clusters is getting more and more, and the fracturing technology is getting more and more complex, which all affect the reconstruction effect of horizontal fracturing. SUMMARY

[0003] The purpose of the embodiments of the present application is to provide a fracturing segmentation and clustering method and device for horizontal well, which can further improve the fracturing reconstruction effect of unconventional oil and gas reservoirs.

[0004] The inventors found through research that reservoir characteristics, natural fracture distribution and selection of fracturing technology are closely related, the selection of segmentation and clustering has an important influence on the fracturing reconstruction effect, and the influence of reservoir characteristics, natural fracture distribution and segmentation and clustering design on the fracturing reconstruction effect needs to be considered comprehensively, so as to achieve the purpose of improving the fracturing reconstruction effect and economy of oil and gas reservoirs.

[0005] In order to achieve the above purpose, the embodiments of the present application provide a fracturing segmentation and clustering method for horizontal well, which comprises:

[0006] obtaining wellbore natural fracture distribution data and logging interpretation data of a target horizontal well;

[0007] preliminarily segmenting the wellbore reservoir of the target horizontal well according to the wellbore natural fracture distribution data and logging interpretation data to obtain different types of reservoirs;

[0008] respectively constructing a horizontal well cluster fracturing fracture propagation model for the different types of reservoirs;

[0009] conducting fracture propagation simulation according to the horizontal well cluster fracturing fracture propagation model to obtain a fracturing fracture morphology;

[0010] determining single-section perforation cluster parameters of different reservoirs according to the fracturing fracture morphology;

[0011] determining specific segmentation positions and perforation cluster positions of the target horizontal well according to the single-section perforation cluster parameters and logging interpretation data.

[0012] Optionally, the wellbore natural fracture distribution data comprises at least one of natural fracture distribution position, distance between natural fracture and wellbore trajectory, drilling and wellbore natural fracture development density, and drilling and wellbore natural fracture strike.

[0013] The wellbore natural fracture distribution data comprises at least one of natural fracture distribution position, distance between natural fracture and wellbore trajectory, drilling and wellbore natural fracture development density, and drilling and wellbore natural fracture strike.

[0014] The two-dimensional scale geologic engineering parameter comprises at least one of gas content, porosity, mineral content, elastic modulus, Poisson's ratio, three-direction principal stress, and hydrocarbon content in horizontal section drilling process.

[0015] The wellbore natural fracture drilling data comprises at least one of natural fracture development intensity and permeability of natural fracture containing reservoir.

[0016] Optionally, the constructing the horizontal well cluster fracturing fracture propagation model for the different types of reservoirs respectively comprises:

[0017] The constructing the horizontal well cluster fracturing fracture propagation model for the different types of reservoirs respectively comprises:

[0018] The process parameters of the horizontal well cluster fracturing fracture propagation model comprise perforation cluster number and cluster spacing, liquid viscosity and construction discharge.

[0019] Optionally, the obtaining the fracturing fracture morphology according to the horizontal well cluster fracturing fracture propagation model comprises:

[0020] The obtaining the fracturing fracture morphology according to the horizontal well cluster fracturing fracture propagation model comprises:

[0021] The obtaining the first difference value of single cluster fracture distribution width and perforation cluster spacing, and the second difference value of single section fracturing fracture distribution width and fracturing section length under different conditions;

[0022] The obtaining the first difference value of single cluster fracture distribution width and perforation cluster spacing, and the second difference value of single section fracturing fracture distribution width and fracturing section length under different conditions;

[0023] The obtaining the first difference value of single cluster fracture distribution width and perforation cluster spacing, and the second difference value of single section fracturing fracture distribution width and fracturing section length under different conditions;

[0024] The obtaining the first difference value of single cluster fracture distribution width and perforation cluster spacing, and the second difference value of single section fracturing fracture distribution width and fracturing section length under different conditions;

[0025] Optionally, the determining the fracturing fracture lateral reconstruction ratio according to the single-stage fracturing segment length, the single-cluster fracture area and the single-cluster fracturing fracture distribution length comprises:

[0026]

[0027] wherein d au is the single-stage fracturing segment length, is the single-cluster fracturing fracture distribution length, S is the total reservoir area of the fracturing segment,

[0030] S2 is the fracturing fracture distribution area of the fracturing segment, is the single-cluster fracture area, n per is the single-cluster fracture number,

[0031] η is the fracturing fracture lateral reconstruction ratio.

[0032] Optionally, the determining the single-stage perforation cluster parameter of different reservoirs according to the fracturing fracture morphology comprises:

[0033] when the fracturing fracture morphology is a natural fracture development reservoir, increasing the single-stage perforation cluster parameter to a first threshold range;

[0034] when the fracture density in the fracturing fracture morphology is less than a second threshold range, decreasing the single-stage perforation cluster parameter to less than the minimum value of the first threshold range.

[0035] In another aspect, the present application provides a segmented and clustered device for a horizontal well, which comprises:

[0036] an acquisition module for acquiring wellbore natural fracture distribution data and logging interpretation data of a target horizontal well;

[0037] a first processing module for preliminarily segmenting the wellbore reservoir of the target horizontal well according to the wellbore natural fracture distribution data and the logging interpretation data to obtain different types of reservoirs;

[0038] a second processing module for respectively constructing a horizontal well clustered fracturing fracture propagation model for the different types of reservoirs and performing fracture propagation simulation according to the horizontal well clustered fracturing fracture propagation model to obtain a fracturing fracture morphology;

[0039] a third processing module for determining a single-stage perforation cluster parameter of different reservoirs according to the fracturing fracture morphology;

[0040] a fourth processing module for determining a specific segmented position and a perforation cluster position of the target horizontal well according to the single-stage perforation cluster parameter and the logging interpretation data.

[0041] Optionally, the wellbore natural fracture distribution data comprises at least one of natural fracture distribution position, distance between natural fracture and wellbore trajectory, drilling and wellbore natural fracture development density, and drilling and wellbore natural fracture strike.

[0042] The wellbore trajectory natural fracture drilling data comprises at least one of natural fracture development intensity and permeability of natural fracture containing reservoir.

[0043] The two-dimensional scale geologic engineering parameter comprises at least one of gas content, porosity, mineral content, elastic modulus, Poisson's ratio, three-direction principal stress, and hydrocarbon content in horizontal section drilling process.

[0044] The wellbore trajectory natural fracture drilling data comprises at least one of natural fracture development intensity and permeability of natural fracture containing reservoir.

[0045] Optionally, the constructing the horizontal well cluster fracturing fracture propagation model for the different types of reservoirs respectively comprises:

[0046] The constructing the horizontal well cluster fracturing fracture propagation model for the different types of reservoirs respectively comprises:

[0047] The process parameters of the horizontal well cluster fracturing fracture propagation model comprise perforation cluster number and cluster spacing, liquid viscosity and construction discharge.

[0048] Optionally, the obtaining the fracturing fracture morphology according to the horizontal well cluster fracturing fracture propagation model comprises:

[0049] The obtaining the fracturing fracture morphology according to the horizontal well cluster fracturing fracture propagation model comprises:

[0050] The obtaining the first difference value of single cluster fracture distribution width and perforation cluster spacing, and the second difference value of single section fracturing fracture distribution width and fracturing section length under different conditions;

[0051] The determining the difference coefficient of each cluster perforation fracture length according to the single cluster fracturing fracture distribution length under different conditions;

[0052] The determining the fracturing fracture lateral reconstruction proportion according to the single section fracturing section length, single cluster fracturing fracture area, and single cluster fracturing fracture distribution length;

[0053] The determining the segmentation and clustering parameters according to at least one of the first difference value, the second difference value, the difference coefficient of each cluster perforation fracture length, and the fracturing fracture lateral reconstruction proportion.

[0054] Optionally, the determining the fracturing fracture lateral reconstruction ratio according to the single-stage fracturing segment length, the single-cluster fracture area and the single-cluster fracturing fracture distribution length comprises:

[0055]

[0056] wherein d au is the single-stage fracturing segment length, is the single-cluster fracturing fracture distribution length, S is the total reservoir area of the fracturing segment,

[0059] S2 is the fracturing fracture distribution area of the fracturing segment, is the single-cluster fracture area, n per is the single-cluster fracture number,

[0060] η is the fracturing fracture lateral reconstruction ratio.

[0061] Optionally, the determining the single-stage perforation cluster parameter of different reservoirs according to the fracturing fracture morphology comprises:

[0062] when the fracturing fracture morphology is a natural fracture development reservoir, the single-stage perforation cluster parameter is increased to a first threshold range;

[0063] when the fracture density in the fracturing fracture morphology is less than a second threshold range, the single-stage perforation cluster parameter is reduced to be less than the minimum value of the first threshold range.

[0064] A horizontal well fracturing segmentation and clustering method provided by the application comprises the following steps: obtaining wellbore natural fracture distribution data and logging interpretation data of a target horizontal well; performing preliminary segmentation on the wellbore reservoir of the target horizontal well according to the wellbore natural fracture distribution data and the logging interpretation data to obtain different types of reservoirs; constructing a horizontal well fracturing fracture extension model for each type of reservoir; performing fracture extension simulation according to the horizontal well fracturing fracture extension model to obtain a fracturing fracture morphology; determining a single-stage perforation cluster parameter of each type of reservoir according to the fracturing fracture morphology; and determining a specific segmentation position and a perforation cluster position of the target horizontal well according to the single-stage perforation cluster parameter and the logging interpretation data. The application performs fracturing fracture extension simulation according to wellbore natural fracture distribution data and logging interpretation data, and then determines a fracturing fracture morphology, and performs fracturing segmentation and clustering design on a horizontal well of a non-conventional oil and gas reservoir according to the fracturing fracture morphology, so that the reconstruction effect of fracturing of the non-conventional oil and gas reservoir is optimized, and the oil and gas production after fracturing of the fracture type oil and gas reservoir is improved.

[0065] Other features and advantages of the embodiments of the application will be described in detail in the following detailed description. BRIEF DESCRIPTION OF DRAWINGS

[0066] The accompanying drawings are included to provide a further understanding of embodiments of the application, and are incorporated in and constitute a part of this specification, illustrate embodiments of the application, and together with the description serve to explain embodiments of the application, but are not intended to limit the present application in any manner. In the drawings:

[0067] Figure 1 is a flowchart of a fracturing segmentation and clustering method of a horizontal well of the present application;

[0068] Figure 2a is a schematic diagram of a lateral curvature attribute around a target well of the present application;

[0069] Figure 2b is a schematic diagram of a lateral maximum likelihood attribute around a target well of the present application;

[0070] Figure 2c is a schematic diagram of a longitudinal maximum likelihood attribute of a well trajectory of the present application;

[0071] Figure 3a is a schematic diagram of a fracture distribution feature of a single-stage 3-cluster perforation fracturing;

[0072] Figure 3b is a schematic diagram of a fracture distribution feature of a single-stage 4-cluster perforation fracturing;

[0073] Figure 4a is a schematic diagram of a fracture distribution feature of a single-stage 4-cluster perforation fracturing;

[0074] Figure 4b is a schematic diagram of a fracture distribution feature of a single-stage 5-cluster perforation fracturing;

[0075] Figure 5a is a schematic diagram of a fracture distribution feature of a single-stage 6-cluster perforation fracturing;

[0076] Figure 5b is a schematic diagram of a fracture distribution feature of a single-stage 7-cluster perforation fracturing;

[0077] Figure 5c is a schematic diagram of a fracture distribution feature of a single-stage 8-cluster perforation fracturing;

[0078] Figure 6a is a schematic diagram of a fracturing stage of a Class I fracture type reservoir;

[0079] Figure 6b is a schematic diagram of a fracturing stage of a Class II fracture type reservoir;

[0080] Figure 6c is a schematic diagram of a fracturing stage of a matrix type reservoir. DETAILED DESCRIPTION

[0081] The specific embodiments of the present application will be described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are merely intended to illustrate and explain the present application, and are not intended to limit the present application in any manner.

[0082] Embodiment one

[0083] Figure 1 is a flowchart of a fracturing segmentation and clustering method of a horizontal well of the present application, as shown, the present application proposes a fracturing segmentation and clustering method of a horizontal well, which comprises the following steps. Figure 1 The step S101 is to acquire wellbore natural fracture distribution data and logging interpretation data of a target horizontal well.

[0084] Specifically, the wellbore natural fracture distribution data comprises at least one of natural fracture distribution position, distance between natural fracture and wellbore trajectory, drilling and wellbore natural fracture development density, and drilling and wellbore natural fracture strike.

[0085] The logging interpretation data comprises at least one of two-dimensional scale geological engineering parameters of wellbore trajectory direction and wellbore trajectory natural fracture drilling data; the two-dimensional scale geological engineering parameters comprise at least one of gas content, porosity, mineral content, elastic modulus, Poisson's ratio, three-direction principal stress, and hydrocarbon content in the process of horizontal drilling; and the wellbore trajectory natural fracture drilling data comprises at least one of natural fracture development intensity and permeability of natural fracture reservoir.

[0086] The step S102 is to preliminarily segment the wellbore reservoir of the target horizontal well according to the wellbore natural fracture distribution data and the logging interpretation data to obtain different types of reservoirs.

[0087] According to a specific embodiment, the reservoirs are classified according to the wellbore natural fracture distribution data and the logging interpretation data, combined with oil and gas content characteristics, physical property characteristics, and reservoir engineering parameter characteristics of drilling and logging interpretation: type I fracture type reservoir section, type II fracture type reservoir section, and matrix type reservoir section. The type I fracture type reservoir is a natural fracture development type reservoir, which generally has good oil and gas content and physical property display and relatively low stress; the type II fracture type reservoir has developed natural fractures but has small overall fracture density, and has good oil and gas content and physical property; and the matrix type reservoir section is a reservoir with low drilling or wellbore natural fracture density or underdeveloped natural fractures.

[0088] The step S103 is to respectively construct horizontal well clustering fracturing fracture propagation models for the different types of reservoirs. Specifically, the respective construction of the horizontal well clustering fracturing fracture propagation models for the different types of reservoirs comprises: constructing horizontal well clustering fracturing fracture propagation models according to the wellbore natural fracture distribution data and the logging interpretation data of the different types of reservoirs, respectively; and the process parameters of the horizontal well clustering fracturing fracture propagation models comprise perforation cluster number and cluster spacing, liquid viscosity, and construction discharge.

[0089] According to a specific embodiment, a horizontal well cluster fracturing fracture propagation model considering natural fracture distribution is constructed by using finite element numerical simulation method, and the model is used to study the influence of natural fracture distribution, segmentation and cluster, and construction parameters on fracturing fracture morphology.

[0090] Based on the type I fracture reservoir section, the type II fracture reservoir section, and the matrix type reservoir section, the natural fracture distribution results constructed are introduced into the numerical model to obtain three horizontal well cluster fracturing fracture propagation models, and the numerical simulation is used to explore the influence of natural fracture distribution characteristics on fracturing fracture morphology characteristics. The logging interpretation data required for simulation is obtained through logging comprehensive interpretation and experimental test or fitting.

[0091] Based on the type I fracture reservoir section, the type II fracture reservoir section, and the matrix type reservoir section, the related parameters for simulation include perforation parameters, which include the number of perforation clusters n per , the perforation cluster spacing d per , the fracturing section length d au , etc.

[0092] The type I fracture reservoir section includes: for the natural fracture developed reservoir, the number of perforation clusters is 3-4 clusters, and the perforation cluster spacing is 10-25 m.

[0093] The type II fracture reservoir section includes: for the natural fracture developed reservoir, the number of perforation clusters is 4-6 clusters, and the perforation cluster spacing is 8-20 m.

[0094] The matrix type reservoir section includes: the number of perforation clusters is 5-8 clusters, and the perforation cluster spacing is 5-15 m.

[0095] Low, medium, and high viscosity slickwater are selected for simulation, and the fracturing fluid viscosity includes 5.0, 15.0, 30.0, and 50.0 mPa.s. The construction discharge Q includes: the discharge of single segment and multi-cluster perforation design is 16-20 m3 / min.

[0096] A horizontal well cluster fracturing fracture propagation model is constructed by using the finite element method combined with fluid-structure coupling, horizontal well multi-cluster fracturing fracture propagation is studied according to the horizontal well cluster fracturing fracture propagation model, and the influence of single segment length, perforation cluster number, and perforation cluster spacing on fracturing fracture propagation under the conditions of type I fracture reservoir section, type II fracture reservoir section, and matrix type reservoir section is determined to determine the fracture propagation law characteristics.

[0097] The step S104 is to obtain the fracture morphology according to the horizontal well cluster fracturing fracture propagation model. Specifically, the step of obtaining the fracture morphology according to the horizontal well cluster fracturing fracture propagation model comprises: obtaining the fracture morphology under different fracturing segment lengths, perforation cluster numbers and perforation cluster spacings by performing fracture propagation simulation on the horizontal well cluster fracturing fracture propagation model, wherein the fracture morphology comprises segment and cluster parameters; obtaining a first difference between a single-cluster fracture distribution width and a perforation cluster spacing, and a second difference between a single-segment fracture distribution width and a fracturing segment length; determining a difference coefficient of a perforation fracture length of each cluster according to a single-cluster fracture distribution length under different conditions; determining a fracturing fracture lateral reconstruction ratio according to the single-segment fracturing segment length, a single-cluster fracture area and the single-cluster fracture distribution length; and determining the segment and cluster parameters according to at least one of the first difference, the second difference, the difference coefficient of the perforation fracture length of each cluster and the fracturing fracture lateral reconstruction ratio. The different conditions include different environmental parameters.

[0098] The step of determining the fracturing fracture lateral reconstruction ratio according to the single-segment fracturing segment length, the single-cluster fracture area and the single-cluster fracture distribution length comprises:

[0099]

[0100] wherein d au is the single-segment fracturing segment length, is the single-cluster fracture distribution length, S is a total reservoir area of the fracturing segment, and S2 is a fracturing fracture distribution area of the fracturing segment, is the single-cluster fracture area, n per is the single-cluster fracture number, and η is the fracturing fracture lateral reconstruction ratio.

[0103] According to a specific embodiment, the single-cluster fracture distribution width is determined based on the fracture morphology. The single-cluster fracture distribution length The single-cluster fracture area The data analysis of the total fracture distribution width W2 of the fracturing segment, the average distribution length L2 of the fracturing segment, the fracturing fracture distribution area S2 of the fracturing segment and the like can determine the distribution law under different natural fracture development degrees, perforation parameters and construction parameters. The perforation cluster number, the perforation cluster spacing and the construction parameters of different types of reservoirs are optimized in combination with the fracture morphology.

[0104] According to the fracture morphology and scale parameters and the like, an evaluation formula is constructed to analyze the fracturing fracture, and the specific steps are as follows:

[0105] The judgment formula of the single-cluster fracture distribution width and the perforation cluster spacing is as follows: In the formula, d1 is the difference between the single-cluster fracturing fracture distribution width and the perforation cluster spacing. If d1 > 0, it indicates that the single-cluster fracturing fracture distribution width is greater than the perforation cluster spacing d per , and there is fracture connection and repeated reconstruction between two perforation clusters. At this time, the perforation cluster spacing needs to be increased and / or the single-stage perforation cluster parameter needs to be reduced. If d1 ≤ 0, it indicates that the single-cluster fracturing fracture distribution width is less than the perforation cluster spacing d per . Considering the reconstruction proportion in the width direction of the fracturing fracture, the value of d1 is preferably 3-5 m, so as to ensure that the width direction of the fracturing section is reconstructed as much as possible.

[0106] The judgment formula of the total distribution width of the fracturing section fracture and the single-stage section length is as follows: d2 = W2-d au , wherein d2 is the difference between the total distribution width of the fracturing section fracture and the fracturing section length. If d2 > 0, it indicates that the total distribution width W2 of the fracturing section is greater than the fracturing section length d au , and the fracturing section may be repeatedly reconstructed with the adjacent fracturing section, or there is repeated reconstruction between two adjacent perforation clusters. If d2 ≤ 0, it indicates that the distribution width W2 of the fracturing fracture is less than d au .

[0107] The difference judgment formula of the distribution length of the fracturing fracture is as follows: , wherein χ is the difference coefficient of the length of the fracturing fracture formed by each cluster perforation cluster, and the range of χ is χ→0-+∞. When χ is close to 0, it indicates that the smaller the difference of the length of the fracturing fracture of each cluster is, and vice versa.

[0108] The area calculation formula of the lateral reconstruction of the fracturing fracture is as follows: , wherein S2 is the distribution area of the fracturing fracture of the fracturing section; , and A is the area of the fracturing fracture formed by a single perforation cluster.

[0109] The area of the fracturing section is shown in the following formula: , wherein S is the total reservoir area of the fracturing section.

[0110] The ratio of the fracture area of the lateral part of the fracturing reconstruction to the total area of the fracturing section is shown in the following formula: , wherein η is the proportion of the lateral reconstruction of the fracturing fracture.

[0111] Step S105 is to determine the single-stage perforation cluster parameter of different reservoirs according to the fracturing fracture morphology. Specifically, the single-stage perforation cluster parameter of different reservoirs is determined according to the fracturing fracture morphology, which includes: when the fracturing fracture morphology is a natural fracture development reservoir, increasing the single-stage perforation cluster parameter to a first threshold range; when the fracture density in the fracturing fracture morphology is less than a second threshold range, reducing the single-stage perforation cluster parameter to less than the minimum value of the first threshold range. ​​

[0112] According to a specific embodiment, the parameters of a single-stage perforation cluster include single-stage perforation cluster parameters and cluster spacing. The specific design principles are as follows:

[0113] 1) The total distribution width of the fracturing cracks is less than the length of the single-stage fracturing section. The total distribution width of the single-stage fracturing cracks W2 must be less than the length of the fracturing section d hau , avoiding repeated transformation of different fracturing sections.

[0114] 2) The distribution width of the fractures of a single cluster perforation is smaller than the spacing between the perforation clusters. Less than the perforation cluster spacing d per , to avoid the connection and repeated transformation of fractures in different perforation clusters in the same fracturing stage.

[0115] 3) The difference in the distribution length of fractures generated by perforation in a single cluster is as small as possible. The coefficient of variation, χ, should be kept as small as possible, with a limit below 0.5. If the coefficient of variation is below 0.5, it is recommended to increase the spacing between perforation clusters within a single stage or reduce the perforation cluster parameters within a single stage. The ratio, η, of the lateral area of ​​the fracture to the stimulated area should be as large as possible, with an η value greater than 0.5.

[0116] 4) The average distribution length of the fracturing cracks should be as large as possible. The average distribution length L2 of the fracturing cracks formed by each perforation cluster in the fracturing section should be as large as possible, and the L2 value should be greater than 100m.

[0117] Based on the fracture propagation simulation and fracture morphology analysis results that consider the influence of natural fracture distribution on fracture propagation, differentiated single-stage perforation cluster parameter designs are performed for the fracture sections of Type I fracture reservoirs, Type II fracture reservoirs, and matrix-type reservoirs. Based on the aforementioned single-stage perforation cluster parameter design principles, the specific designs are as follows:

[0118] For Type I fractured reservoir fracturing stages, based on simulation results that consider the impact of natural fracture distribution on fracture propagation, the perforation cluster spacing can be appropriately increased and the number of perforation clusters can be reduced. For Type I fractured reservoir fracturing stages, the perforation cluster parameter for a single stage is 3-4 clusters. The number of perforation clusters in each fracturing stage is determined based on the fracture morphology influenced by the natural fracture distribution.

[0119] For Type II fractured reservoirs, the perforation cluster spacing should be appropriately reduced and the number of perforation clusters per stage increased compared to reservoirs with well-developed natural fractures. The perforation cluster number per stage for Type II fractured reservoirs is 5-6 clusters, with the specific number of perforation clusters determined based on the fracture morphology and distribution width.

[0120] For the matrix reservoir fracturing section, the smallest possible perforation cluster spacing is used, and the number of perforation clusters is increased, and the number of perforation clusters in the fracturing section is 6-8 clusters.

[0121] Based on the fracture propagation simulation results, combined with the perforation cluster design principles, the fracture propagation characteristics of the I-type fracture reservoir fracturing section, the II-type fracture reservoir fracturing section, and the matrix reservoir fracturing section under different natural fracture distributions, perforation cluster spacings, and perforation cluster numbers are optimized, and parameters such as the distribution width and distribution length of single-cluster fracturing fractures are particularly determined.

[0122] For the I-type fracture reservoir fracturing section, the perforation cluster spacing of the fracturing section is suggested to be 15-25 m, and the actual target well can be further determined according to the fracture propagation morphology of the logging interpretation data of the fracturing section. Due to the large difference between the horizontal principal stresses in the deep unconventional oil and gas reservoir, the distribution width of the fracturing fracture is reduced, and the perforation cluster spacing can be reduced.

[0123] For the II-type fracture reservoir fracturing section, the perforation cluster spacing of the fracturing section is suggested to be 10-15 m, and the actual target well can be further determined according to the fracture propagation morphology affected by the logging interpretation data of the fracturing section.

[0124] For the matrix reservoir fracturing section, the perforation cluster spacing of the fracturing section is suggested to be 5-12 m, and the actual target well can be further determined according to the fracture propagation morphology affected by the logging interpretation data of the fracturing section.

[0125] Step S106 is to determine the specific segmentation position and perforation cluster position of the target horizontal well according to the single-section perforation cluster parameters and the logging interpretation data.

[0126] According to a specific embodiment, the specific segmentation position and perforation cluster position of the target horizontal well are further determined based on the previous comprehensive segmentation, mainly including single-section length and section number, and finally forming a fracturing section.

[0127] Based on the well depth position in the I-type fracture reservoir fracturing section, the II-type fracture reservoir fracturing section, and the matrix reservoir fracturing section, the top and bottom depths of each fracturing section are determined, and the length of the comprehensive fracturing section is calculated. Based on the fracturing comprehensive segmentation data, the fracturing section is divided, mainly according to the I-type fracture reservoir fracturing section, the II-type fracture reservoir fracturing section, and the matrix reservoir fracturing section for separate fracturing section division. The single-section perforation cluster parameters and perforation cluster spacing of different types of reservoirs determined based on the fracturing fracture propagation simulation results are used for fracturing section length design. Based on the comprehensive segmentation, single-section fracturing section length, and perforation cluster number cluster spacing parameters, a comprehensive segmentation design is performed to determine the overall number of fracturing sections and the depth position of each fracturing section.

[0128] According to a specific embodiment, if the pre-set fracture segment starting depth position is lower than 0.5m from the casing collar position, the fracture segment position is offset to a position higher than 1.0m from the collar. The single-stage perforation position is determined based on the selected single-stage perforation cluster parameters, and the perforation position selection follows the following principles: the perforation cluster is as close as possible to the natural fracture and the position with better physical properties, avoids high stress peaks, and avoids the casing collar position, and the horizontal minimum principal stress difference of each cluster perforation position is less than 2.0MPa. According to the single-stage perforation cluster parameters of each fracture segment and the perforation cluster position selection principle, the specific segment position and perforation cluster position of each fracture segment are determined.

[0129] The present application designs the specific segment and cluster positions according to the design parameters of the target well, such as the number of fracture segments, segment length, number of perforation clusters, and cluster spacing, in combination with the logging interpretation data of the specific target. Specifically, the specific design of the fracture segment position is performed in combination with the fracture segment depth position of the target well and the casing collar position of the target well. This method improves the transformation effect of unconventional oil and gas reservoir fracturing.

[0130] Example Two

[0131] The target well selected for testing has a tight sandstone lithology in the target layer, a horizontal segment depth of 3527-4622m, and a horizontal segment length of 1095m.

[0132] According to the three-dimensional seismic data of the target well, the relevant natural fracture prediction analysis is performed in combination with the reservoir horizon, and the reservoir natural fracture characteristics determine the guidance for fracturing segmentation and clustering. As shown in Figure 2a , based on the curvature attribute characteristics, it is shown that there is a region with curvature anomaly around the well trajectory of the target well, indicating that there is a possibility of fold in this region. The curvature attribute may have certain reliability for fault or large fracture prediction, but the prediction effect for small-scale natural fractures is poor. As shown in Figure 2b , according to the natural fracture interpretation result, the well trajectory passes through the natural fracture zone in part of the position, and the natural fracture develops around the whole well. As shown in Figure 2c , according to the interpretation result, it is determined that the natural fracture in part of the region penetrates the well trajectory.

[0133] According to the natural fracture distribution result of the three-dimensional seismic geophysical interpretation, the natural fracture grading of the reservoir around the target well is determined, and the angle of the natural fracture is NE92°-NE141° according to the geophysical natural fracture interpretation result. The predicted natural fracture density is 12.5 / m in the interval of 4360-4622m, 10.8 / m in the interval of 4190-4300m, 5 / m in the interval of 3940-4020m, and 6 / m in the interval of 3542-3596m. According to the natural fracture prediction result, the intervals of 4360-4622m and 4190-4300m are the natural fracture development intervals, the intervals of 3940-4020m and 3542-3596m are the natural fracture relatively development intervals, and the other intervals are the natural fracture underdevelopment intervals.

[0134] Based on the logging data of the target well (mainly including gamma, acoustic interval travel time, resistivity, spontaneous potential, neutron and density, etc.), the geologic engineering parameter interpretation of the horizontal well trajectory direction is carried out. The main functions of the geologic engineering parameter include two aspects: one is to analyze the reservoir characteristics (including oil and gas properties, physical properties), brittleness or fracturing property of the horizontal well trajectory direction, to guide the horizontal well fracturing segmentation and clustering design, and the other is to provide basic parameters for the subsequent numerical simulation of the fracture propagation considering the natural fracture distribution characteristics, and to carry out the fracture propagation simulation research considering the actual formation conditions.

[0135] The important geologic engineering parameter characteristic distribution of the target well logging interpretation includes geologic parameters and engineering parameters. The geologic parameters include the matrix porosity of the horizontal section logging interpretation range of 1.2-2.3% (the average porosity is 1.9%), the permeability of 0.001-0.211mD (the average value is 0.03mD), and the gas saturation of 33-64% (the average value is 56%). The engineering parameters include the Young's modulus of the horizontal section logging interpretation of 32.08-51.53GPa (the average value is 45.3GPa). The Poisson's ratio range is 0.140-0.277 (the average value is 0.223). The horizontal maximum principal stress range is 67.9-70.9MPa (the average is 70.15MPa), the horizontal minimum principal stress is 63.76-65.89MPa (the average is 64.93MPa), and the horizontal principal stress difference is 3.8-6.25MPa (the average is 5.32MPa).

[0136] Based on the logging data, the natural fracture characteristics of the target well reservoir are interpreted, and combined with the drilling fluid loss and drilling total hydrocarbon display during drilling, it is interpreted that there are natural fractures around the well in the intervals of 4360-4622m, 4188.0-4305m, 4084.2-4087.9m, 3987.7-4005.0m, 3780.5-3783.4m, 3492.3-3494m, and 3505.7-3512.6m.

[0137] Based on the natural fracture prediction results of geophysical natural fracture prediction and well logging interpretation, combined with the oil and gas bearing property, physical property, reservoir engineering parameter characteristics and other reservoir comprehensive classification, the horizontal well fracturing section reservoir is divided into three categories, respectively, I type fracture type reservoir fracturing section, II type fracture type reservoir fracturing section and matrix type reservoir fracturing section, and 11 segments are accumulated. The specific position is shown in Table 1.

[0138] Table 1:

[0139] Serial number Top depth / m Bottom depth / m Reservoir thickness / m Reservoir type 1 4360 4622 262 Class I fractured reservoir 2 4305 4360 55 Matrix reservoir 3 4188 4305 117 Class I fractured reservoir 4 4020 4188 168 Matrix reservoir 5 3940 4020 80 Class II fractured reservoir 6 3596 3940 344 Matrix reservoir 7 3542 3596 54 Class II fractured reservoir 8 3527 3542 15 Matrix reservoir 9 1095

[0140] According to the three-dimensional seismic interpretation results and the comprehensive well logging interpretation results, according to the natural fracture development degree and the geological engineering parameter characteristics, the two-dimensional fracturing fracture propagation model considering the natural fracture distribution characteristics is constructed, which includes I type fracture type reservoir section, II type fracture type reservoir section and matrix type reservoir section.

[0141] Based on the natural fracture attribute interpretation results, combined with the natural fracture encountered by well logging interpretation, the discrete fracture network model (DFN) method is used to establish the two-dimensional natural fracture distribution model of the target well within the range of 400m around the well section and obtain the natural fracture parameters. The two-dimensional natural fracture model is embedded in the fracturing fracture model in the later stage, so as to realize the simulation of the influence of natural fracture distribution on the shape of fracturing fracture.

[0142] Based on the comprehensive well logging interpretation of the target well, the related geological engineering parameters of the fracturing simulation section are obtained, mainly including porosity, permeability, formation pressure, elastic modulus, Poisson's ratio, three-dimensional ground stress, tensile strength and other parameters. Due to the influence of natural fracture distribution, reservoir heterogeneity and other factors, the geological engineering parameter characteristics of different fracturing section well area have great difference, therefore, the geological engineering parameters obtained by well logging interpretation can provide differentiated basic data assignment for different natural fracture distribution characteristics under the condition of fracturing section, so that the simulation results are closer to the actual construction.

[0143] Using finite element numerical simulation method, the fracturing fracture propagation numerical model considering the natural fracture distribution characteristics is constructed, which can be embedded in the front. The I type fracture type reservoir fracturing section, II type fracture type reservoir fracturing section and matrix type reservoir fracturing section are given the related geological engineering parameters obtained by well logging interpretation. The influence of natural fracture distribution, segmentation and clustering, construction parameters and other factors on the shape of fracturing fracture is studied by using numerical model.

[0144] The fracturing stage for Type I fracture reservoirs is a single-stage multi-cluster perforation stage with a perforation cluster parameter of 3 to 4 clusters and a perforation cluster spacing of 10 to 20 meters. The fracturing stage for Type II fracture reservoirs is a single-stage multi-cluster perforation stage with a perforation cluster parameter of 4 to 6 clusters and a perforation cluster spacing of 5 to 20 meters. The fracturing stage for matrix-type reservoirs is a single-stage perforation cluster parameter of 5 to 8 clusters and a perforation cluster spacing of 5 to 15 meters.

[0145] The fracturing fluid is simulated using low, medium and high viscosity slick water, and the fracturing fluid viscosity μ includes 5.0, 15.0, 30.0 and 50.0 mPa.s; the fracturing design displacement is 16 to 20 m3 / min.

[0146] like Figures 3a-3b The simulation of fracture propagation under different perforation cluster numbers shows that the width of a single fracture cluster in the Type I fracture reservoir of the target well ranges from 12 to 21 meters, and the length of each fracture cluster ranges from 102 to 125 meters. The average fracture length ranges from 102 to 112 meters, and the total fracture width ranges from 45 to 62 meters.

[0147] like Figure 4a and Figure 4b The simulation of fracture propagation under different perforation cluster numbers shows that the fracture width of a single cluster in the Type II fracture reservoir of the target well ranges from 8 to 14 meters, and the length of each cluster ranges from 128 to 148 meters. The average fracture length ranges from 118 to 125 meters, and the total fracture width ranges from 53 to 73 meters.

[0148] like Figures 5a-5c The simulation of fracture propagation under different perforation cluster numbers shows that the fracture width of a single cluster in the target well's matrix-type reservoir, a Type II fracture, ranges from 2 to 5 meters, and the length of each cluster ranges from 105 to 172 meters. The average fracture length ranges from 136 to 148 meters, with a total fracture width of 72 to 83 meters.

[0149] like Figures 6a-6c The distribution lengths of natural fractures to each cluster of hydraulic fractures are shown and distribution width Total distribution width W2, average distribution length L2, and maximum distribution length of a single cluster of fractures and the minimum distribution length of a single cluster of cracks A two-dimensional fracturing fracture propagation model considering natural fractures was constructed using the finite element method. Multi-cluster fracturing fracture propagation in horizontal wells was studied to clarify the effects of single-stage length, number of perforation clusters, and perforation cluster spacing on fracture propagation under the conditions of Type I fracture-type reservoir fracturing sections, Type II fracture-type reservoir fracturing sections, and matrix-type reservoir fracturing sections. The characteristics of fracture propagation patterns were also clarified.

[0150] like Figures 3a-3b andFigures 6a-6c As shown in Figure 2, the single-stage perforation cluster design mainly includes the single-stage perforation cluster parameters and cluster spacing. The specific design principles are as follows:

[0151] 1) The distribution width of the fracture is smaller than the length of the fracture section. The distribution width W2 of the fracture in a single fracture section must be smaller than the length d of the fracture section. au , avoiding repeated transformation of different fracturing sections.

[0152] 2) The distribution width of the fractures in a single cluster perforation is smaller than the perforation cluster spacing. The distribution width W1 of the fractures in a single cluster perforation is smaller than the perforation cluster spacing d per , to avoid the connection and repeated transformation of cracks in different perforation clusters in the same fracturing stage.

[0153] 3) The difference in the distribution length of the fracture cracks between the perforation clusters in a single stage is as small as possible. The distribution length of the fracture cracks formed by different perforation clusters in a single stage fracturing The χ coefficient of the difference should be as small as possible, with a limit value below 0.5. The ratio η of the lateral area of ​​the fracture to the stimulated area should be as large as possible, with a range of η from 0.5 to 0.75.

[0154] 4) The average distribution length of the fracturing cracks should be as large as possible. The average distribution length L2 of the fracturing cracks formed by each perforation cluster in a single fracturing stage should be as large as possible, and the L2 value should be greater than 100m.

[0155] Combined with the depth position of the fracturing section of the target well and the position of the casing coupling of the target well, the specific design of the fracturing section position is carried out. If the initial starting depth position of the fracturing section is less than 0.5m from the casing coupling position, the position of the fracturing section will be offset to a position more than 1.0 from the coupling. Based on the selection of the number of perforation clusters mentioned above, the perforation position of a single section is determined. The selection of the perforation position follows the following principles: the perforation cluster is as close as possible to the natural fracture and the position with good physical properties, avoids high stress peaks, and avoids the casing coupling position. According to the number of perforation clusters of each fracturing section and the principle of perforation cluster position selection, the depth position of the perforation cluster of each fracturing section is determined. The specific segmented and clustered positions of the target well are shown in Table 2:

[0156]

[0157]

[0158]

[0159] Example 3

[0160] The application provides a segmented cluster device for horizontal wells, comprising: an acquisition module for acquiring wellbore natural fracture distribution data and logging interpretation data of a target horizontal well; a first processing module for preliminarily segmenting the wellbore reservoir of the target horizontal well according to the wellbore natural fracture distribution data and the logging interpretation data to obtain different types of reservoirs; a second processing module for respectively constructing a horizontal well cluster fracturing fracture propagation model for the different types of reservoirs, and simulating fracture propagation according to the horizontal well cluster fracturing fracture propagation model to obtain a fracturing fracture morphology; a third processing module for determining single-segment perforation cluster parameters of different reservoirs according to the fracturing fracture morphology; and a fourth processing module for determining specific segment positions and perforation cluster positions of the target horizontal well according to the single-segment perforation cluster parameters and the logging interpretation data.

[0161] Specifically, the wellbore natural fracture distribution data comprises at least one of natural fracture distribution positions, distances between natural fractures and a wellbore trajectory, drilling and wellbore natural fracture development density, and drilling and wellbore natural fracture strike; the logging interpretation data comprises at least one of two-dimensional scale geological engineering parameters of a wellbore trajectory direction and wellbore trajectory natural fracture drilling data; the two-dimensional scale geological engineering parameters comprise at least one of gas content, porosity, mineral content, elastic modulus, Poisson's ratio, three principal stresses, and hydrocarbon content in a horizontal segment drilling process; and the wellbore trajectory natural fracture drilling data comprises at least one of natural fracture development intensity and permeability of a natural fracture reservoir. The construction of the horizontal well cluster fracturing fracture propagation model for the different types of reservoirs comprises: respectively constructing a horizontal well cluster fracturing fracture propagation model according to the wellbore natural fracture distribution data and the logging interpretation data of the different types of reservoirs; and process parameters of the horizontal well cluster fracturing fracture propagation model comprise perforation cluster number and cluster spacing, liquid viscosity and construction discharge capacity.

[0162] The simulation of the fracture propagation according to the horizontal well cluster fracturing fracture propagation model to obtain the fracturing fracture morphology comprises: simulating the fracturing fracture propagation under different fracturing segment lengths, perforation cluster numbers, and perforation cluster spacings according to the horizontal well cluster fracturing fracture propagation model to obtain the fracturing fracture morphology, wherein the fracturing fracture morphology comprises segmented cluster parameters; obtaining a first difference value of single-cluster fracture distribution width and perforation cluster spacing, and a second difference value of single-segment fracturing fracture distribution width and fracturing segment length under different conditions; determining a difference coefficient of each cluster perforation fracture length according to the single-cluster fracturing fracture distribution length under different conditions; determining a fracturing fracture lateral reconstruction ratio according to the single-segment fracturing segment length, single-cluster fracture area, and single-cluster fracturing fracture distribution length; and determining the segmented cluster parameters according to at least one of the first difference value, the second difference value, the difference coefficient of each cluster perforation fracture length, and the fracturing fracture lateral reconstruction ratio.

[0163] The present application is based on a geological engineering integrated research process, considers the influence of natural fracture distribution characteristics on fracturing fracture propagation, and takes fracturing fracture morphological characteristics as a reference to design fracturing segmentation and clustering, thereby optimizing the reconstruction effect of unconventional oil and gas reservoir fracturing. The method can be used for fracturing segmentation and clustering design of various types of unconventional oil and gas reservoirs such as shale, tight sandstone and coalbed methane, and can further improve the effect of fracturing reconstruction.

[0164] The fracturing segmentation and clustering method of the horizontal well comprises the following steps: obtaining wellbore natural fracture distribution data and logging interpretation data of a target horizontal well; performing preliminary segmentation on the wellbore reservoir of the target horizontal well according to the wellbore natural fracture distribution data and the logging interpretation data to obtain different types of reservoirs; constructing a horizontal well clustering fracturing fracture propagation model for each type of reservoir; performing fracture propagation simulation according to the horizontal well clustering fracturing fracture propagation model to obtain fracturing fracture morphology; determining single-stage perforation cluster parameters of different types of reservoirs according to the fracturing fracture morphology; and determining the specific segmentation position and perforation cluster position of the target horizontal well according to the single-stage perforation cluster parameters and the logging interpretation data. According to the wellbore natural fracture distribution data and the logging interpretation data, the fracturing fracture propagation simulation is performed to determine the fracturing fracture morphology, the fracturing segmentation and clustering design of the unconventional oil and gas reservoir horizontal well is performed according to the fracturing fracture morphology, the reconstruction effect of the unconventional oil and gas reservoir fracturing is optimized, and the post-fracturing oil and gas production of the fracture-type oil and gas reservoir is improved.

[0165] Those skilled in the art will understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0166] The present application is described with reference to flowcharts and / or block diagrams according to the embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of flows and / or blocks in the flowcharts and / or block diagrams can be implemented by computer program instructions. These computer program instructions can be provided to a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to produce a machine, so that the instructions executed by the computer or other programmable data processing devices produce a device that implements the functions specified in the flowcharts and / or block diagrams. Figure One The functions specified in one flow or multiple flows and / or blocks Figure One The device that implements the functions specified in one flow or multiple flows and / or blocks

[0167] These computer program instructions can also be stored in a computer- readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instructions which implement the Figure One function specified in the flow or flows and / or blocks Figure One of the block or blocks.

[0168] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the Figure One function specified in the flow or flows and / or blocks Figure One of the block or blocks.

[0169] In a typical configuration, a computing device includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory.

[0170] The memory can include non-persistent memory and / or volatile memory, such as random access memory (RAM) about which the computer stores information about an operating system, application software, and / or the like. Memory is an example of computer readable media.

[0171] Computer readable media includes permanent and non-permanent, moveable and non- moveable media that can be implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disc read-only memory (CD-ROM), digital versatile disks (DVDs) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that is accessible to a computing device. According to the definition provided herein, a computer readable medium excludes transitory media, such as modulated data signals and carrier waves.

[0172] It should also be noted that the terms "comprising", "comprises" or other variations thereof are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but can also include other elements not expressly listed or inherent to such process, method, article, or apparatus.

[0173] The above embodiments are only used to illustrate the present application, but not to limit it. Instead of the above, various modifications and changes can be made to the application by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the application shall fall into the scope of the claims of the application.

Claims

1. A method of fracturing staged and clustered horizontal wells, characterized in that, The method comprises: obtaining wellbore natural fracture distribution data and logging interpretation data of a target horizontal well; preliminarily segmenting the wellbore reservoir of the target horizontal well according to the wellbore natural fracture distribution data and the logging interpretation data to obtain different types of reservoirs; respectively constructing horizontal well cluster fracturing fracture propagation models for the different types of reservoirs; conducting fracture propagation simulation according to the horizontal well cluster fracturing fracture propagation models to obtain fracturing fracture morphology; determining single-stage perforation cluster parameters of different reservoirs according to the fracturing fracture morphology; determining specific segment positions and perforation cluster positions of the target horizontal well according to the single-stage perforation cluster parameters and the logging interpretation data.

2. The method of claim 1, wherein: the wellbore natural fracture distribution data comprises at least one of natural fracture distribution positions, distances between natural fractures and wellbore trajectories, drilling and wellbore natural fracture development density, and drilling and wellbore natural fracture strike; the logging interpretation data comprises at least one of two-dimensional scale geologic engineering parameters of wellbore trajectory directions and wellbore trajectory natural fracture drilling data; the two-dimensional scale geologic engineering parameters comprise at least one of gas content, porosity, mineral content, elastic modulus, Poisson's ratio, three-direction principal stress, and hydrocarbon content in horizontal section drilling processes; the wellbore trajectory natural fracture drilling data comprise at least one of natural fracture development intensity and permeability of natural fracture reservoirs.

3. The method of claim 1, wherein, respectively constructing horizontal well cluster fracturing fracture propagation models for the different types of reservoirs comprises: respectively constructing horizontal well cluster fracturing fracture propagation models for the different types of reservoirs according to the wellbore natural fracture distribution data and the logging interpretation data of the different types of reservoirs; constructing horizontal well cluster fracturing fracture propagation models according to the wellbore natural fracture distribution data and the logging interpretation data of the different types of reservoirs; process parameters of the horizontal well cluster fracturing fracture propagation models comprise perforation cluster number and cluster spacing, liquid viscosity, and construction discharge capacity.

4. The method of claim 1, wherein, conducting fracture propagation simulation according to the horizontal well cluster fracturing fracture propagation models to obtain fracturing fracture morphology comprises: conducting fracture propagation simulation under different fracturing segment lengths, perforation cluster numbers, and perforation cluster spacings according to the horizontal well cluster fracturing fracture propagation models to obtain fracturing fracture morphology, wherein the fracturing fracture morphology comprises segment and cluster parameters; obtaining a first difference value of single-cluster fracture distribution width and perforation cluster spacing, and a second difference value of single-stage fracturing fracture distribution width and fracturing segment length under different conditions; determining a difference coefficient of each cluster perforation fracture length according to single-cluster fracturing fracture distribution lengths under different conditions; determining a fracturing fracture horizontal reconstruction ratio according to single-stage fracturing segment length, single-cluster fracture area, and single-cluster fracturing fracture distribution length; determining segment and cluster parameters according to at least one of the first difference value, the second difference value, the difference coefficient of each cluster perforation fracture length, and the fracturing fracture horizontal reconstruction ratio.

5. The method of claim 4, wherein, determining a fracturing fracture horizontal reconstruction ratio according to single-stage fracturing segment length, single-cluster fracture area, and single-cluster fracturing fracture distribution length comprises: where d au is the single-stage fracture length, single-cluster fracture distribution length, S is the total reservoir area of the fracture stage, 2 is the fracture distribution area of the fracture section, is the single cluster fracture area, n per is the number of single cluster fractures, η is the fracturing fracture horizontal reconstruction ratio.

6. The method of claim 1, wherein, determining single-stage perforation cluster parameters of different reservoirs according to the fracturing fracture morphology comprises: when the fracturing fracture morphology is a natural fracture development reservoir, increasing the single-stage perforation cluster parameter to a first threshold range; When the fracture density in the fracturing fracture morphology is less than a second threshold range, then the single-stage perforation cluster parameter is reduced to be less than a first threshold range minimum value.

7. A fracturing segmented and zoned apparatus for horizontal wells, characterized by, The device comprises: An acquisition module is configured to acquire wellbore natural fracture distribution data and logging interpretation data of a target horizontal well; A first processing module is configured to preliminarily segment the wellbore reservoir of the target horizontal well according to the wellbore natural fracture distribution data and the logging interpretation data to obtain different types of reservoirs; A second processing module is configured to respectively construct horizontal well cluster fracturing fracture propagation models for the different types of reservoirs and to perform fracture propagation simulation according to the horizontal well cluster fracturing fracture propagation models to obtain fracturing fracture morphologies; A third processing module is configured to determine single-stage perforation cluster parameters of different reservoirs according to the fracturing fracture morphologies; A fourth processing module is configured to determine specific segmentation positions and perforation cluster positions of the target horizontal well according to the single-stage perforation cluster parameters and the logging interpretation data.

8. The device of claim 7, wherein the wellbore natural fracture distribution data comprises at least one of natural fracture distribution positions, distances between natural fractures and a wellbore track, drilling and wellbore natural fracture development density, and drilling and wellbore natural fracture strike; the logging interpretation data comprises at least one of two-dimensional scale geological engineering parameters of a wellbore track direction and wellbore track natural fracture drilling data; the two-dimensional scale geological engineering parameters comprise at least one of gas content, porosity, mineral content, elastic modulus, Poisson's ratio, three principal stresses, and hydrocarbon content in horizontal section drilling; the wellbore track natural fracture drilling data comprises at least one of natural fracture development intensity and permeability of a natural fracture reservoir.

9. The apparatus of claim 7, wherein, the construction of the horizontal well cluster fracturing fracture propagation models for the different types of reservoirs comprises: the construction of the horizontal well cluster fracturing fracture propagation models for the different types of reservoirs comprises: the process parameters of the horizontal well cluster fracturing fracture propagation models comprise perforation cluster number and cluster spacing, liquid viscosity and construction discharge.

10. The apparatus of claim 7, wherein, the fracture propagation simulation according to the horizontal well cluster fracturing fracture propagation models to obtain the fracturing fracture morphologies comprises: the fracture propagation simulation according to the horizontal well cluster fracturing fracture propagation models to obtain the fracturing fracture morphologies comprises: the first difference value of single-cluster fracture distribution width and perforation cluster spacing and the second difference value of single-stage fracturing fracture distribution width and fracturing stage length are obtained under different conditions; a difference coefficient of each cluster perforation fracture length is determined according to the single-cluster fracturing fracture distribution length under different conditions; a fracturing fracture lateral reconstruction ratio is determined according to the single-stage fracturing stage length, single-cluster fracture area, and single-cluster fracturing fracture distribution length; the segmentation and clustering parameters are determined according to at least one of the first difference value, the second difference value, the difference coefficient of each cluster perforation fracture length, and the fracturing fracture lateral reconstruction ratio.

11. The apparatus of claim 10, wherein, the determination of the fracturing fracture lateral reconstruction ratio according to the single-stage fracturing stage length, the single-cluster fracture area, and the single-cluster fracturing fracture distribution length comprises: where d au is the single-stage fracture length, single-cluster fracture distribution length, S is the total reservoir area of the fracture stage, S2 is the fracture distribution area of the fracture segment, is the single cluster fracture area, n per is the number of single cluster fractures, η is the transverse reconstruction ratio of the fracturing fracture.

12. The apparatus of claim 7, wherein, The single-stage perforation cluster parameters of different reservoirs are determined according to the fracturing fracture morphology, including: When the fracturing fracture morphology is a natural fracture developed reservoir, the single-stage perforation cluster parameters are increased to a first threshold range; When the crack density in the fracturing fracture morphology is less than a second threshold range, the single-stage perforation cluster parameters are reduced to less than the minimum value of the first threshold range.

Images