A horizontal well deployment and parameter optimization system based on geological model

Abstract

The present invention relates to the field of horizontal well planning, and specifically to a horizontal well deployment and parameter optimization system based on a geological model. The present invention includes a mapping module: used to measure and draw a sand body profile and a plane layout diagram of a research area; a geological geometry model module: used to classify sand bodies and construct a three-dimensional geological geometry model; a horizontal well deployment optimization module: used to identify the type of river channel sand bodies in a three-dimensional geological geometry model, and the river channel sand body types include medium-low curvature river channel sand bodies, medium-high curvature river channel sand bodies, and wide-body river channel sand bodies. When the river channel sand body type is a wide-body river channel sand body, under the condition of fracturing and production, the simulation conditions of the three-dimensional geological geometry model are set, and the relationship between the deployment orientation of horizontal wells with different angles and the stable production time, and the time and the output is compared, and the stable production time and the angle range of the output that is higher than the preset value are output. The technical solution of the present invention can refine the horizontal well deployment orientation and expand the optimized parameter range and performance.

Description

Technical Field

[0001] The present invention relates to the field of horizontal well planning, and in particular to a horizontal well deployment and parameter optimization system based on a geological model. Background Art

[0002] At present, there are still many problems and difficulties in reservoir configuration that need to be solved. First, the current configuration research is most concentrated on river phase reservoirs, and there are relatively few studies on other types of reservoir configurations such as underwater distributary channels, estuary bars, and beach bars in the delta front phase; second, the research is basically concentrated on ancient outcrops and modern sediments, and there are relatively few systematic studies on underground reservoir sand body configurations; third, the quantification of reservoir configuration is not enough, and most of the current analyses are based on qualitative and semi-quantitative analysis, lacking quantitative underground reservoir configuration research; fourth, the configuration classification schemes are not unified, and the situation of inconsistent configuration body names is also common. In addition, there are still many things that need to be improved, such as configuration research methods and underground reservoir configuration models.

[0003] Numerical simulation of oil reservoirs refers to the technology of solving the mathematical model of oil reservoirs by computers, thereby simulating the distribution of oil reservoirs through mathematical models. However, in the existing technology, the horizontal section length and fracturing parameters are mainly optimized, the accuracy of the geological model is not enough, and the optimization parameters are relatively few. Summary of the invention

[0004] To solve the above problems, the present invention provides a horizontal well deployment and parameter optimization system based on a geological model, which refines the horizontal well deployment orientation and expands the optimized parameter range and performance.

[0005] In order to achieve the above object, the technical solution of the present invention is as follows: A horizontal well deployment and parameter optimization system based on geological model, comprising:

[0006] Surveying and mapping module: used to measure and draw the sand body profile and plane distribution map of the study area;

[0007] Geological geometry model module: used to classify sand bodies and construct three-dimensional geological geometry models based on the morphology, elevation and thickness characteristics of sand bodies in sand body profiles and planar distribution diagrams;

[0008] Vector permeability assignment module: used to select different sampling points with different angles between the river sand body and the ancient flow direction, detect the vector permeability by taking core samples at the sampling points, and map them into the three-dimensional geological geometry model;

[0009] Horizontal well deployment optimization module: used to identify the channel sand body type in the three-dimensional geological geometric model. The channel sand body types include medium-low curvature channel sand body, medium-high curvature channel sand body and wide-body channel sand body. The horizontal well deployment optimization module is equipped with a trained convolutional neural network. The convolutional neural network is trained based on the width of the channel sand body and the relationship data between the bending structure of the channel sand body and the maximum stress direction of the channel sand body. The convolutional neural network is used to input the three-dimensional geological geometric model and output the maximum stress direction angle range. When the channel sand body type is a wide-body channel sand body, the maximum stress direction angle range value output by the convolutional neural network is obtained. Under the condition of fracturing and production, the simulation conditions of the three-dimensional geological geometric model are set, and the relationship between the deployment orientation of horizontal wells with different angles and the stable production time, and the time and production are compared within the maximum stress direction angle range value, and the stable production time and the angle range of production higher than the preset value are output.

[0010] The above scheme has the following beneficial effects:

[0011] 1. In this scheme, the sand body profile and plane distribution map of the study area are drawn through the surveying and mapping module, and a three-dimensional geological geometric model is further constructed. The three-dimensional geological geometric model can simulate the oil reservoir or sand body structure in the study area through digital calculation, so as to facilitate horizontal well planning.

[0012] 2. In this scheme, the orientation of the horizontal section is mainly determined by two conditions: sand body distribution and stress direction. Sand body distribution is the guarantee of the reservoir drilling rate of horizontal wells, while the direction of ground stress mainly affects the fracturing effect of horizontal wells. When the river channel sand body is narrow, the best solution for horizontal well deployment can be determined directly based on the curvature of the river channel sand body. However, when the river channel sand body is too wide, for example, the width is >1500m, the difference in the production of horizontal wells perpendicular to the river channel and parallel to the river channel is small, making it difficult to accurately deploy the orientation.

[0013] The three-dimensional geological geometry model can simulate the stress direction by mapping the vector permeability through the vector permeability assignment module. The three-dimensional geological geometry model can simulate multiple angles. According to the relationship between the simulated angle horizontal well deployment orientation and stable production time, time and production, the appropriate deployment angle range under the wide-body river channel sand body conditions is determined. Convolutional neural network is used to optimize the simulation process. In theory, the width, curvature and sand body structure of the river channel sand body all affect the distribution of the maximum stress direction. Therefore, the convolutional neural network is first used to learn the maximum stress direction relationship of the width and curvature of the river channel sand body regardless of the sand body structure. When determining the deployment angle range, the width and curvature of the river channel sand body are first used to narrow the angle range and reduce the number of simulations. Then, within this range, simulation is performed with an appropriate angle gradient to determine the maximum stress direction position under different sand body structures, so as to obtain a refined deployment angle range. Within this deployment angle range, the user can select an angle that is easy to construct to determine the deployment angle.

[0014] Furthermore, it also includes a horizontal section length optimization module: used to set a three-dimensional geological geometric model under simulation conditions of several successively increasing horizontal section length groups, record the relationship curve of cumulative production and the relationship curve between the increase in horizontal section length and the cumulative production increment, derive the relationship curve of cumulative production and the relationship curve between the increase in horizontal section length and the cumulative production increment to obtain a first slope, and output the horizontal section length whose decrease amplitude of the first slope exceeds a preset value.

[0015] Beneficial effects: Horizontal wells have significant advantages over vertical wells in improving recovery and production. The horizontal section passes through the oil layer laterally, increasing the contact area between the horizontal well and the oil layer. Therefore, the design of the horizontal section length is a key indicator of the development efficiency of horizontal wells and is the first problem to be solved to improve the production capacity of horizontal wells. The reservoir is constrained by geological conditions. When the length of the horizontal section increases to a certain value, the growth rate of the horizontal well production capacity will slow down. When the three-dimensional geological geometry model simulates the relationship curve of cumulative production and the relationship curve between the increase in horizontal section length and the cumulative production increment, the curve will drop after reaching the optimal horizontal section length. Therefore, the curve is derived to obtain the first slope and when the first slope drops to trigger the threshold of the preset value, the corresponding horizontal section length is output.

[0016] Furthermore, it also includes a segmented fracturing spacing optimization module: it is used to set a three-dimensional geological geometric model under several fracturing segment array simulation conditions based on the horizontal segment length output by the horizontal segment length optimization module, record the relationship curve between the number of fracturing segments, the stable production time and the cumulative production, derive the relationship curve between the number of fracturing segments, the stable production time and the cumulative production to obtain a second slope, and output the number of fracturing stages whose second slope decreases by more than a preset value.

[0017] Beneficial effects: When developing tight oil and gas reservoirs with horizontal wells, multi-stage fracturing of horizontal wells can further slow down the loss of formation energy and improve the production capacity of oil wells. Therefore, on the basis of optimizing the horizontal section orientation and length, the number of fracturing stages, that is, the spacing between the fractures, is further optimized.

[0018] Furthermore, the staged fracturing spacing optimization module is also used to calculate and output the staged fracturing spacing based on the horizontal segment length output by the horizontal segment length optimization module and the number of fracturing segments output by the staged fracturing spacing optimization module.

[0019] Beneficial effect: After obtaining the horizontal section length and the number of fracturing sections, it is easy to calculate the segmented fracturing spacing, which is convenient for subsequent construction.

[0020] Furthermore, it also includes a fracture half-length optimization module: it is used to set up a three-dimensional geological geometric model under several fracture half-length group simulation conditions based on the horizontal section length, the number of fracture sections and the segmented fracturing spacing output by the horizontal section length optimization module and the segmented fracturing spacing optimization module, record the relationship curve between the fracture half-length and the stable production time and the cumulative production, derive the relationship curve between the fracture half-length and the stable production time and the cumulative production to obtain a third slope, and output the fracture half-length whose decrease in the third slope exceeds a preset value.

[0021] Beneficial effects: The half-length of the horizontal well hydraulic fracture is an important control factor affecting the horizontal well productivity. Generally speaking, the longer the fracture length, the greater the geological reserves controlled and utilized by a single well. However, due to the size of the sand body, the increase in horizontal well productivity will reach a critical value, and the production growth rate will slow down as the fracture length increases. By taking the third slope by derivation, the appropriate half-length of the hydraulic fracture can be obtained.

[0022] Furthermore, it is used to set the three-dimensional geological geometry model simulation conditions based on the horizontal section length, number of fracturing sections, segmented fracturing spacing and fracture half-length output by the horizontal section length optimization module, the segmented fracturing spacing optimization module and the fracture half-length optimization module, and output the reasonable production of the corresponding horizontal well when the stable production period is 3 years.

[0023] Beneficial effect: By back-calculating after a specified period of time, the output stable production period can be controlled at an appropriate value.

[0024] Furthermore, the measurement methods in the surveying and mapping module include seismic, drilling, logging, and well logging, and measurement and analysis are performed through natural gamma, natural potential, acoustic time difference, and induction resistivity.

[0025] Beneficial effects: Through seismic, drilling, logging, well logging methods, natural gamma, natural potential, acoustic time difference, and induction resistivity, it is possible to obtain formation images, which is convenient for drawing sand body profiles and planar distribution maps in the study area.

[0026] Furthermore, in the horizontal well deployment optimization module, medium-low sinuosity channel sand bodies and medium-high sinuosity channel sand bodies are deployed in the sand body extension direction and vertical flow direction, respectively.

[0027] Beneficial effect: The width of the medium-low sinuosity channel sand body and the medium-high sinuosity channel sand body is narrow, so the angle deployment is more regular. Therefore, the deployment angle can be determined without simulation.

[0028] Furthermore, the time axis length of the cumulative production relationship curve is 10 years.

[0029] Beneficial effect: Setting it to 10 years can reduce the computing power consumption of the simulation and meet the needs of most planning scenarios.

[0030] Furthermore, the horizontal section length group has an increasing gradient of 100m.

[0031] Beneficial effect: Using 100m as the growth gradient can reduce the computing resources required for simulation and achieve appropriate accuracy.

[0032] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 A schematic diagram of a module of an embodiment of a horizontal well deployment and parameter optimization system based on a geological model of the present invention;

[0034] Figure 2 It is a schematic diagram of the comparison of the azimuth stable production time of the wide-body channel sand body deployment according to the embodiment of the horizontal well deployment and parameter optimization system based on the geological model of the present invention;

[0035] Figure 3 A schematic diagram showing a comparison of cumulative production of wide-channel sand body deployment positions according to an embodiment of a horizontal well deployment and parameter optimization system based on a geological model of the present invention;

[0036] Figure 4 It is a regional natural seismic azimuth rose diagram of an embodiment of the horizontal well deployment and parameter optimization system based on a geological model of the present invention;

[0037] Figure 5 A schematic diagram of pressure reduction at various angles of an embodiment of a horizontal well deployment and parameter optimization system based on a geological model of the present invention;

[0038] Figure 6 It is a schematic diagram of stable production time at each angle of an embodiment of a horizontal well deployment and parameter optimization system based on a geological model of the present invention;

[0039] Figure 7 A schematic diagram of cumulative production at various angles of an embodiment of a horizontal well deployment and parameter optimization system based on a geological model of the present invention;

[0040] Figure 8 A schematic diagram of the relationship between the horizontal section length and the cumulative production of an embodiment of the horizontal well deployment and parameter optimization system based on the geological model of the present invention;

[0041] Fig. 9 A schematic diagram of the relationship between the increase in horizontal section length and the cumulative production increment in an embodiment of a horizontal well deployment and parameter optimization system based on a geological model of the present invention;

[0042] Fig.10 A schematic diagram of the relationship between the number of fracturing stages and the stable production time in an embodiment of a horizontal well deployment and parameter optimization system based on a geological model of the present invention;

[0043] Fig.11 A schematic diagram of the number of fracturing stages and cumulative production of an embodiment of a horizontal well deployment and parameter optimization system based on a geological model of the present invention;

[0044] Fig.12 A schematic diagram of the relationship between fracture half-length and stable production time in an embodiment of a horizontal well deployment and parameter optimization system based on a geological model of the present invention;

[0045] Fig.13 A schematic diagram of an embodiment of a horizontal well deployment and parameter optimization system based on a geological model of the present invention; and a schematic diagram of the relationship between fracture half-length and cumulative production;

[0046] Fig.14 Schematic diagram of the relationship between stable production time and production in an embodiment of a horizontal well deployment and parameter optimization system based on a geological model of the present invention. DETAILED DESCRIPTION

[0047] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. 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 are within the scope of protection of the present invention.

[0048] In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicating the orientation or positional relationship, are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first", "second", and "third" are used for descriptive purposes only, and cannot be understood as indicating or implying relative importance.

[0049] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0050] The following is further described in detail through specific implementation methods:

[0051] As attached Figure 1-Figure 14 Shown: A horizontal well deployment and parameter optimization system based on geological model, comprising:

[0052] Mapping module: used to determine the target area to be studied, select the typical well network dissection area, combine seismic, drilling, logging, logging data, conduct fine stratigraphic division and comparison, and use natural gamma, natural potential, acoustic time difference, induction resistivity and other curve data to conduct logging phase analysis, draw sand body profile and plane distribution map. According to the vertical and lateral morphology, elevation, thickness and other differences in the logging curve of the dissection area, the single sand body of the underwater distributary channel is identified, and the sand body superposition pattern of the main reservoir in the target area is summarized; among them, Class A sand body: river channel (superimposable) thick sand body (thickness>10 meters), Class B sand body: single channel thin sand body (thickness 5-10 meters), Class C sand body: river channel lateral superimposed sand body, Class D sand body: river channel vertical superimposed sand body.

[0053] Geological geometry model module: read the logging profile to obtain the thickness of a single sand body, determine the length of a single sand body by connecting the well profiles along the river channel, and determine the width of a single sand body by connecting the well profiles perpendicular to the river channel, and obtain the three-dimensional scale parameters of the single sand body; and calculate the ratio of the length, width and thickness of the sand body, determine the boundary position of the sand body in the sparse well network area, and construct a three-dimensional geological geometry model.

[0054] Vector permeability assignment module: It is used to select the collection points with different angles between the river sand body and the ancient flow direction, detect the vector permeability by taking core samples at the collection points, and map them in the three-dimensional geological geometry model.

[0055] Horizontal well deployment optimization module: used to identify the types of river channel sand bodies in the three-dimensional geological geometry model. The types of river channel sand bodies include medium-low curvature river channel sand bodies, medium-high curvature river channel sand bodies and wide-body river channel sand bodies. Medium-low curvature river channel sand bodies and medium-high curvature river channel sand bodies are deployed in the direction of sand body extension and vertical flow direction respectively. When the river channel sand body type is a wide-body river channel sand body, under the condition of fracturing and production, the simulation conditions of the three-dimensional geological geometry model are set, and the relationship between the deployment orientation of horizontal wells at different angles and the stable production time, and the time and production is compared, and the stable production time and the angle range where the production is higher than the preset value are output.

[0056] Horizontal section length optimization module: used to set a three-dimensional geological geometric model under simulation conditions of several horizontal section length groups that increase in sequence, record the relationship curve of cumulative production and the relationship curve between the increase in horizontal section length and the cumulative production increment, derive the relationship curve of cumulative production and the relationship curve between the increase in horizontal section length and the cumulative production increment to obtain the first slope, and output the horizontal section length whose decrease in the first slope exceeds the preset value.

[0057] The segmented fracturing spacing optimization module is used to set up a number of three-dimensional geological geometric models under the simulation conditions of the fracturing segment array based on the horizontal segment length output by the horizontal segment length optimization module, record the relationship curve between the number of fracturing segments and the stable production time and the cumulative production, and derive the relationship curve between the number of fracturing segments and the stable production time and the cumulative production to obtain the second slope, and output the number of fracturing segments whose second slope decreases by more than the preset value. The segmented fracturing spacing optimization module is also used to calculate and output the segmented fracturing spacing based on the horizontal segment length output by the horizontal segment length optimization module and the number of fracturing segments output by the segmented fracturing spacing optimization module.

[0058] Fracture half-length optimization module: It is used to set up three-dimensional geological geometric models under several fracture half-length group simulation conditions based on the horizontal section length, number of fracture sections and segmented fracture spacing output by the horizontal section length optimization module and the segmented fracture spacing optimization module, record the relationship curve between the fracture half-length and the stable production time and the cumulative production, derive the relationship curve between the fracture half-length and the stable production time and the cumulative production to obtain the third slope, and output the fracture half-length whose decrease of the third slope exceeds the preset value.

[0059] Reasonable production optimization module: It is used to set the simulation conditions of the three-dimensional geological geometry model based on the horizontal section length, number of fracturing sections, segmented fracturing spacing and fracture half-length output by the horizontal section length optimization module, segmented fracturing spacing optimization module and fracture half-length optimization module, and output the reasonable production of the corresponding horizontal well when the stable production period is 3 years.

[0060] The surveying and mapping module is used to draw the sand body profile and plane distribution map of the study area, and further construct a three-dimensional geological geometric model. The three-dimensional geological geometric model can simulate the oil reservoir or sand body structure in the study area through digital calculation, thus facilitating horizontal well planning.

[0061] The orientation of the horizontal section is mainly determined by two conditions: sand body distribution and stress direction. Sand body distribution is the guarantee of the reservoir encounter rate of horizontal wells, while the direction of ground stress mainly affects the fracturing effect of horizontal wells. For medium-low sinuosity channel sand bodies, the permeability direction is usually greater than the direction perpendicular to the channel, so they are deployed along the extension direction of the sand bodies; for medium-high sinuosity channel sand bodies, point-bar sand bodies have a positive rhythmic structure, and the permeability gradually decreases away from the channel. When the horizontal displacement is sufficient, they are deployed perpendicular to the flow direction.

[0062] For wide channel sand bodies, different well deployment positions are compared. Under the condition of no fracturing and production, simulation conditions are set to compare the relationship between production, stable production time and 10-year cumulative production. Figure 2 and Figure 3As shown, without considering the fracturing production, for sand bodies with sufficient width (>1500m), the production of horizontal wells in the vertical channel direction in this embodiment is about 1.2 times that of horizontal wells in the parallel channel direction (the change is small and can be ignored).

[0063] Convolutional neural networks are used to optimize the simulation process. In theory, the width, curvature and sand body structure of the river channel sand body all affect the distribution of the maximum stress direction. Therefore, the convolutional neural network is first used to learn the maximum stress direction relationship of the width and curvature of the river channel sand body regardless of the sand body structure. When determining the deployment angle range, the width and curvature of the river channel sand body are first used to narrow the angle range, reduce the number of simulations, and speed up the solution process. Then, within this range, simulation is performed with an appropriate angle gradient to determine the position of the maximum stress direction under different sand body structures, thereby obtaining a refined deployment angle range. Users can select an angle that is easy to construct within the deployment angle range to determine the deployment angle.

[0064] Similarly, for wide channel sand bodies, under the condition of fracturing and production, different well deployment orientations are compared, considering the changes in the angle between the principal stress and the horizontal displacement segment. Figure 4 As shown in the figure, the simulation conditions are set to compare the relationship between different angles and stable production time and production within 10 years. Figure 5 , Figure 6 and Figure 7 As shown in the figure: when the angle is less than 22°, the stable production time and the 10-year cumulative production change little, and when it exceeds 22°, the two parameters drop rapidly. Therefore, no more than 22° is a reasonable orientation.

[0065] The horizontal section length groups are 600m, 700m, 800m, 900m, 1000m, 1100m, 1200m, 1300m, 1400m, 1500m, 1600m, and 1800m, respectively. They are brought into the 3D geological geometry model for simulation. The simulation results are shown in the figure. Figure 8 and Fig. 9 As shown in the figure, when the length of the horizontal section is greater than 1200 meters, the growth relationship deviates from the straight line and the increment slows down. Therefore, the reasonable length parallel to the river channel is 1200 meters.

[0066] The fracturing segment arrays are 7, 9, 11, 13, 17, and 25 segments of 1,200 meters, and the production is 100 million cubic meters / day, 150 million cubic meters / day, and 200 million cubic meters / day, respectively, which are brought into the three-dimensional geological geometry model for simulation. The simulation results are shown in Fig.10 and Fig.11 When the horizontal displacement is 1200m, 11 reasonable cracks are optimized and the spacing is calculated to be 110m.

[0067] The half-length groups of fractures are 33m, 66m, 100m, 133m, 166m, 200m and 233m respectively, and the daily gas production is: 1.5×104m 3 / d and 2×104m 3 / d, the simulation results are as follows Fig.12 and Fig.13 When the horizontal displacement is 1200m, 11 reasonable fractures are optimized with a spacing of 110m and a reasonable half-length of about 100m.

[0068] Set the simulation conditions according to the optimized parameters above:

[0069] Horizontal section orientation: The angle between the horizontal well orientation and the principal stress is less than 22°;

[0070] Horizontal section length: 1200m;

[0071] Number of fracturing stages: 11, with a spacing of 110m;

[0072] Half length of the fracture: about 100m.

[0073] The relationship between simulated output and stable production time is shown in the following figure. Fig.14 As shown, the horizontal well production when the stable production period is 3 years (1090 days) is taken as the reasonable production, and the reasonable production of the model is about 27,000 cubic meters per day.

[0074] Obviously, the above embodiments are merely examples for the purpose of clear explanation, and are not intended to limit the implementation methods. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation methods here. The obvious changes or modifications derived therefrom are still within the scope of protection of the invention.

Claims

1. A horizontal well deployment and parameter optimization system based on geological model, characterized in that: include: Surveying and mapping module: used to measure and draw the sand body profile and plane distribution map of the study area; Geological geometry model module: used to classify sand bodies and construct three-dimensional geological geometry models based on the morphology, elevation and thickness characteristics of sand bodies in sand body profiles and planar distribution diagrams; Vector permeability assignment module: used to select different sampling points with different angles between the river sand body and the ancient flow direction, detect the vector permeability by taking core samples at the sampling points, and map them into the three-dimensional geological geometry model; Horizontal well deployment optimization module: used to identify the types of channel sand bodies in the three-dimensional geological geometry model. The types of channel sand bodies include medium-low sinuosity channel sand bodies, medium-high sinuosity channel sand bodies and wide-body channel sand bodies. In the horizontal well deployment optimization module, medium-low sinuosity channel sand bodies and medium-high sinuosity channel sand bodies are deployed in the direction of sand body extension and vertical flow direction respectively; The horizontal well deployment optimization module is provided with a trained convolutional neural network. The convolutional neural network is trained based on the width of the channel sand body, the bending structure of the channel sand body and the relationship data of the maximum stress direction of the channel sand body. The convolutional neural network is used to input the three-dimensional geological geometric model and output the maximum stress direction angle range. When the channel sand body type is a wide channel sand body, the maximum stress direction angle range value output by the convolutional neural network is obtained. Under the condition of fracturing and production, the simulation conditions of the three-dimensional geological geometric model are set, and the relationship between the deployment orientation of horizontal wells with different angles and the stable production time, and the time and production are compared within the maximum stress direction angle range value, and the stable production time and the angle range where the production is higher than the preset value are output. It also includes a horizontal section length optimization module: used to set a three-dimensional geological geometric model under simulation conditions of a plurality of horizontal section length groups that increase in sequence, record the relationship curve of cumulative production and the relationship curve between the increase in horizontal section length and the cumulative production increment, derive the relationship curve of cumulative production and the relationship curve between the increase in horizontal section length and the cumulative production increment to obtain a first slope, and output the horizontal section length whose decrease amplitude of the first slope exceeds a preset value; It also includes a segmented fracturing spacing optimization module: used to set a three-dimensional geological geometric model under the simulation conditions of several fracturing segment arrays based on the horizontal segment length output by the horizontal segment length optimization module, record the relationship curve between the number of fracturing segments, the stable production time and the cumulative production, derive the relationship curve between the number of fracturing segments, the stable production time and the cumulative production to obtain a second slope, and output the number of fracturing segments whose second slope decreases by more than a preset value; The staged fracturing spacing optimization module is also used to calculate and output the staged fracturing spacing based on the horizontal section length output by the horizontal section length optimization module and the number of fracturing stages output by the staged fracturing spacing optimization module; It also includes a fracture half-length optimization module: for setting a three-dimensional geological geometric model under several fracture half-length group simulation conditions based on the horizontal section length, the number of fracture sections and the segmented fracture spacing output by the horizontal section length optimization module and the segmented fracture spacing optimization module, recording the relationship curve between the fracture half-length and the stable production time and the cumulative production, derivating the relationship curve between the fracture half-length and the stable production time and the cumulative production to obtain a third slope, and outputting the fracture half-length whose decrease range of the third slope exceeds the preset value; It also includes a reasonable production optimization module: it is used to set the three-dimensional geological geometry model simulation conditions based on the horizontal section length, number of fracturing sections, segmented fracturing spacing and fracture half-length output by the horizontal section length optimization module, the segmented fracturing spacing optimization module and the fracture half-length optimization module, and output the corresponding horizontal well production as a reasonable production when the stable production period is 3 years.

2. The horizontal well deployment and parameter optimization system based on geological model according to claim 1, characterized in that: The measurement methods in the surveying and mapping module include seismic, drilling, logging, and well logging, and measurement and analysis are carried out through natural gamma, natural potential, acoustic time difference, and induction resistivity.

3. The horizontal well deployment and parameter optimization system based on geological model according to claim 2, characterized in that: The time axis length of the cumulative production relationship curve is 10 years.

4. The horizontal well deployment and parameter optimization system based on geological model according to claim 3, characterized in that: The horizontal section length group has an increasing gradient of 100m.

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