Horizontal section trajectory intelligent design method based on geosteering model

Abstract

The invention discloses a horizontal section trajectory intelligent design method based on a geosteering model, and belongs to the technical field of oil and gas horizontal well drilling trajectory design. Based on an established geosteering model, a computer intelligently identifies a stratigraphic dip angle of a horizontal section of the geosteering model and the thickness of a box body before drilling, intelligently judges a track position during drilling, and accurately determines a track adjustment control point and a section length through a mathematical algorithm according to a relative relation among the track position, the stratigraphic dip angle and the thickness of the box body; according to the method, the accuracy of trajectory design is improved, meanwhile, a computer is used for conducting rapid and intelligent design on the horizontal section trajectory, the problems that an existing manual design method is tedious in process, long in consumed time and low in precision are solved, rapid and intelligent design of the horizontal section trajectory is achieved, and it is guaranteed that the drilling rate of a box is maximized under the dog-leg-degree limiting condition.

Description

Technical Field

[0001] The present invention specifically relates to an intelligent design method for the horizontal section trajectory based on a geological steering model, belonging to the technical field of horizontal well drilling trajectory design in oil and gas. Background Art

[0002] Horizontal wells have the advantages of long traversing distance in the oil layer, large oil drainage area, high production, etc., and their development benefits are much higher than those of vertical wells. For horizontal wells, the oil layer penetration rate is the key to measuring success or failure, which in turn depends on the trajectory control of the horizontal section. The trajectory control technology of the horizontal section of a horizontal well is the key to horizontal well drilling.

[0003] Currently, the trajectory of the horizontal section of a horizontal well is mainly designed manually according to the change of the formation dip angle (as shown in Figure 1-2 ), to ensure that the trajectory traverses within the box as much as possible. However, this method cannot accurately determine the trajectory adjustment control points and section lengths, and has high requirements for the professional technical level of operators; especially when the formation dip angle changes greatly and frequently, it is often impossible to design a trajectory that traverses within the box to the maximum extent; at the same time, it takes a lot of time to adjust and verify repeatedly; the trajectory is rough and has low smoothness, resulting in difficulties in drilling implementation and unable to ensure the maximization of the box encounter rate.

[0004] For another example, in the prior art "CQ-IGS Horizontal Well Integrated Geological Steering Technology - Taking the Application in Changning-Weiyuan National Shale Gas Demonstration Area as an Example, Shi Jingsui, 2020", it mainly involves three-dimensional geological steering modeling technology, integrated while-drilling tracking steering technology, and geological steering software platform technology; in "CN202110137892.X A Trajectory Design Method for Shale Gas Horizontal Wells", it mainly focuses on the landing trajectory design of three-dimensional shale gas horizontal wells, and designs a schematic trajectory connecting Target A to Target B based on the relative coordinates and vertical depths of Target A and Target B, mainly to improve drilling steering efficiency, reduce friction and torque, and improve the adaptability to the early vertical depth conditions; in "CN202211417984.4 A Method for Optimizing and Accelerating the Drilling of the Horizontal Section of Shale Gas Horizontal Wells", the wellbore trajectory optimization of the horizontal section mainly aims at the lateral distribution law and characteristics of the geological structure of the shale gas reservoir, and designs to avoid crossing well sections with drastic fluctuations in formation mineral components and formation rock strength, so as to improve the mechanical drilling speed of the horizontal section of shale gas horizontal wells, reduce the number of trips and the drilling cycle, and does not consider the wellbore trajectory smoothness and box encounter rate, etc.

[0005] Therefore, there is a need for a horizontal section trajectory design method that is simple in the design process, short in time consumption, and high in accuracy, that is, a horizontal section trajectory design method that meets the needs of fine geological steering and fast drilling of horizontal wells. Summary of the Invention

[0006] The present invention aims to solve the problems that the existing horizontal section trajectory design process is cumbersome, time-consuming, and has low accuracy, and cannot meet the requirements of fine geological steering and fast drilling of horizontal wells, and proposes an intelligent design method for the horizontal section trajectory based on a geological steering model.

[0007] In order to achieve the above technical objectives, the following technical solutions are proposed: The first objective of this technical solution is to provide: an intelligent design method for the horizontal section trajectory based on a geological steering model, including the following steps: S1: Obtain wellbore trajectory data and the established geological steering model data; Among them, "obtain" specifically refers to reading by a computer, and the "established geological steering model data" includes formation depth, formation dip angle, formation inflection point, and box thickness; S2: Calculate the wellbore trajectory data in step S1, and then compare it with the data (formation depth, formation dip angle, formation inflection point, and box thickness) in the geological steering model in step S1 to obtain the vertical depth of the bottom hole trajectory from the top and bottom of the sub-layer, and judge the location of the bottom hole trajectory, that is, accurately determine the location of the bottom hole trajectory; S3: Without restricting the dogleg severity of the designed trajectory in the horizontal section, obtain the formation dip angle and box thickness of the horizontal section of the geological steering model; according to the position, formation dip angle, and box thickness of the bottom hole trajectory in step S2, use the radius of curvature method to preliminarily determine the adjustment control points and section lengths of the horizontal section trajectory, and use the radius of curvature method, that is, generate trajectory control points and the initial designed trajectory; S4: Under the condition of restricting the dogleg severity of the designed trajectory in the horizontal section, adjust the control points and section lengths of the horizontal section trajectory to obtain several design schemes for the horizontal section trajectory; S5: Judge whether the dogleg severity is less than the maximum dogleg severity, and judge whether the designed trajectory has the longest section length in the box; If the dogleg severity in the design scheme is not less than the maximum dogleg severity, adjust the position, section length, and well inclination angle of the trajectory control points corresponding to the dogleg severity that does not meet the conditions and the adjacent control points, and re-verify until the dogleg severity in the design scheme is less than the maximum dogleg severity, and the designed trajectory has the longest section length and the smallest dogleg severity in the box, that is, obtain the horizontal section trajectory that meets the condition of maximizing the drilling encounter rate; If the dogleg severity in the design scheme is less than the maximum dogleg severity, then obtain the final horizontal section trajectory; Among them, "adjust" specifically refers to automatic adjustment and judgment by a computer; the adjustment specifically includes: repeated adjustment using the "digital approximation method".

[0008] Further, through the dogleg angle formula: ; represents the dogleg angle, Indicates the well deviation angle corresponding to point A, Indicates the well deviation angle corresponding to point B, Indicates the azimuth angle corresponding to point A, Indicates the azimuth angle corresponding to point B; Dogleg severity formula: ; Through calculation, the dogleg severity corresponding to the trajectory control points is obtained.

[0009] The second objective of this technical solution is to provide an intelligent horizontal section trajectory design system based on a geological steering model, including a data reading module, a bottom hole trajectory judgment module, a horizontal section trajectory control point and section length generation module, a horizontal section trajectory control point and section length adjustment module, and a dogleg severity and section length judgment module. The data reading module is connected to the bottom hole trajectory judgment module, the bottom hole trajectory judgment module is connected to the horizontal section trajectory control point and section length generation module, the horizontal section trajectory control point and section length generation module is connected to the horizontal section trajectory control point and section length adjustment module, and the horizontal section trajectory control point and section length adjustment module is connected to the dogleg severity and section length judgment module; among them, Data reading module: Obtain wellbore trajectory data and established geological steering model data; Bottom hole trajectory judgment module: By calculating the wellbore trajectory data, and then comparing it with the data in the geological steering model, obtain the vertical depth of the bottom hole trajectory from the top and bottom of the small layer, and judge the location of the bottom hole trajectory; Horizontal section trajectory control point and section length generation module: Without restricting the dogleg severity of the designed horizontal section trajectory, obtain the formation dip angle and box thickness of the horizontal section of the geological steering model; According to the position of the bottom hole trajectory, formation dip angle and box thickness, use the curvature radius method to preliminarily determine the adjustment control points and section length of the horizontal section trajectory, and use the curvature radius method to generate trajectory control points and the initial designed trajectory; Horizontal section trajectory control point and section length adjustment module: Used to adjust the control points and section length of the horizontal section trajectory under the condition of restricting the dogleg severity of the designed horizontal section trajectory to obtain several design schemes of the horizontal section trajectory; Dogleg severity and section length judgment module: Judge whether the dogleg severity is less than the maximum dogleg severity, judge whether the designed trajectory has the longest section length in the middle of the box, and determine the position of the trajectory control points, section length and well deviation angle until a horizontal section trajectory that meets the requirements is obtained.

[0010] Furthermore, in the horizontal section trajectory control point and section length generation module, the horizontal section trajectory control point and section length adjustment module, and the dogleg severity and section length judgment module, through the following dogleg angle formula and dogleg severity formula, where the dogleg angle formula is: ; Indicates the dogleg angle, Indicates the well inclination angle corresponding to point A, Indicates the well inclination angle corresponding to point B, Indicates the azimuth angle corresponding to point A, Indicates the azimuth angle corresponding to point B; The dogleg severity formula is: ; Through calculation, the dogleg severity corresponding to the control point is obtained.

[0011] Furthermore, in the dogleg severity and section length judgment module, if the dogleg severity in the design scheme is not less than the maximum dogleg severity, for the control points corresponding to the dogleg severity that does not meet the conditions and the adjacent control points, adjust the positions of the trajectory control points, section lengths, and well inclination angles, and re-verify until the dogleg severity in the design scheme is less than the maximum dogleg severity, and the section length of the design trajectory in the box is the longest and the dogleg severity is the smallest, that is, the horizontal section trajectory that meets the condition of maximizing the drilling encounter rate is obtained; If the dogleg severity in the design scheme is less than the maximum dogleg severity, then the final horizontal section trajectory is obtained.

[0012] The third objective of this technical solution is to provide: a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the method described in any one of the above technical solutions are implemented.

[0013] The fourth objective of this technical solution is to provide: an information data processing terminal for an intelligent design method of a horizontal section trajectory based on a geological steering model.

[0014] In this technical solution, the meaning explanations involved include: the horizontal section trajectory refers to the trajectory data after the trajectory enters the horizontal section of the box, the wellbore trajectory refers to the drilled trajectory data of the whole well, and the bottom hole trajectory refers to the single-point trajectory data at the drilled bottom hole.

[0015] Adopting this technical solution, the beneficial technical effects are as follows: First, based on the established geological steering model, the present invention intelligently identifies the horizontal section formation dip angle and box thickness of the geological steering model through a computer before drilling, intelligently judges the trajectory position during drilling, and accurately determines the trajectory adjustment control points and section lengths according to the relative relationship between the trajectory position, formation dip angle, and box thickness through a mathematical algorithm, improving the accuracy of trajectory design; at the same time, using the computer to quickly and intelligently design the horizontal section trajectory to solve the problems of cumbersome process, long time consumption, and low accuracy of the existing manual design method, which not only realizes the quick and intelligent design of the horizontal section trajectory, but also ensures the maximization of the box drilling encounter rate under the dogleg severity limit conditions; Second, the existing horizontal well horizontal section trajectory design technology mainly relies on manual design, which has problems such as low accuracy in judging the trajectory position, rough and fixed selection of trajectory adjustment control points and section lengths, and relatively fixed designed dogleg severity, resulting in low accuracy in trajectory design, cumbersome process and long time consumption. According to the horizontal section trajectory design principle, the present invention realizes an intelligent recognition accuracy of 100% for the bottom hole trajectory position, a designed trajectory dogleg severity ≤ 3° / 30m, a trajectory design accuracy of 0.1°, and a trajectory design time < 20s by optimizing mathematical algorithms and using computer programming to form software supporting modules. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 is a flowchart of manual trajectory design in the prior art; Figure 2 is a case of manual trajectory design in the prior art; Figure 3 is the two-dimensional plane trajectory involved in the present invention; Figure 4 is a flowchart of the trajectory design in the present invention; Figure 5 is a trajectory design drawing in the present invention; Figure 6 is a comparison diagram of the existing horizontal section trajectory designed manually and the intelligent designed horizontal section trajectory of the present invention in Example 5. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0017] The technical solutions in the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0018] Example 1 This embodiment provides: An intelligent design method for the horizontal section trajectory based on a geological steering model, as Figure 4 shown, including: S1: Obtain wellbore trajectory data and established geological steering model data; Among them, "obtain" specifically refers to reading through a computer, and the "established geological steering model data" includes formation depth, formation dip angle, formation inflection point and box body thickness; S2: Calculate the wellbore trajectory data in step S1, and then compare it with the data (formation depth, formation dip angle, formation inflection point and box body thickness) in the geological steering model in step S1 to obtain the vertical depth of the bottom hole trajectory from the top and bottom of the small layer, and judge the location of the bottom hole trajectory, that is, accurately determine the location of the bottom hole trajectory; S3: Without restricting the dogleg severity of the horizontal section design trajectory, obtain the formation dip angle and box thickness of the horizontal section of the geological steering model; according to the position of the bottomhole trajectory, formation dip angle, and box thickness in step S2, use the radius of curvature method to preliminarily determine the adjustment control points and section lengths of the horizontal section trajectory. Using the radius of curvature method (as Figure 3 shown), that is, generate the trajectory control points and the initial design trajectory; S4: Under the condition of restricting the dogleg severity of the horizontal section design trajectory, adjust the control points and section lengths of the horizontal section trajectory to obtain several design schemes for the horizontal section trajectory; S5: Judge whether the dogleg severity is less than the maximum dogleg severity, and judge whether the design trajectory has the longest section length in the box; If the dogleg severity in the design scheme is not less than the maximum dogleg severity, for the control points corresponding to the dogleg severity that does not meet the conditions and the adjacent control points, adjust the positions of the trajectory control points, section lengths, and well inclination angles, and re-verify until the dogleg severity in the design scheme is less than the maximum dogleg severity, and the design trajectory has the longest section length and the smallest dogleg severity in the box, that is, obtain the horizontal section trajectory that meets the condition of maximizing the drilling encounter rate; If the dogleg severity in the design scheme is less than the maximum dogleg severity, then obtain the final horizontal section trajectory (as Figure 5 shown).

[0019] For the above steps S2 - S5, for example: taking the inflection point position as the standard starting point, moving forward 1 m visually with a dogleg severity of 1 - 3° / 30 m, and segmentally designing the initial trajectory; the computer determines whether the initial trajectory penetrates the box; If the designed initial trajectory does not penetrate the box, move forward 1 m visually each time, and segmentally design the optimized trajectory with a dogleg of 1 - 3° / 30 m respectively. Then, automatically pick up a trajectory with the longest section length and the smallest dogleg severity in the box as the designed trajectory for output; If the designed initial trajectory penetrates the box, taking the change point as the starting point, move forward 1 m visually each time, and segmentally design the optimized trajectory with a dogleg of 1 - 3° / 30 m respectively; then, the computer determines again whether the initial trajectory penetrates the box. Among them, when the maximum forward distance reaches the position of the previous inflection point or 100 m, and all trajectories penetrate the box, automatically pick up a trajectory with the longest section length in the box as the designed trajectory for output, and use the point where it penetrates the box as the starting point, design the back-cut box trajectory with a dogleg severity of 3° / 30 m and automatically pick it up. Then, using the point where it returns to the box as the starting point, re-design the subsequent trajectory.

[0020] Among them, through the dogleg angle formula and the dogleg severity formula, obtain the dogleg severity corresponding to the trajectory control points; the dogleg angle formula is: ; represents the dogleg angle, Indicates the well inclination angle corresponding to point A, Indicates the well inclination angle corresponding to point B, Indicates the azimuth angle corresponding to point A, Indicates the azimuth angle corresponding to point B; The dogleg severity formula is: ; By optimizing the mathematical algorithm and using computer programming to form a software supporting module, the bottom-hole trajectory is intelligently judged, and multiple horizontal section trajectories are designed according to the set dogleg severity. Through the "digital approximation method", a design trajectory that can maximize the box encounter rate is automatically selected, improving the trajectory design accuracy and box encounter rate, and reducing the manual design time and engineering implementation difficulty.

[0021] Embodiment 2 This embodiment provides an intelligent horizontal section trajectory design system based on a geological steering model, including a data reading module, a bottom-hole trajectory judgment module, a horizontal section trajectory control point and section length generation module, a horizontal section trajectory control point and section length adjustment module, and a dogleg severity and section length judgment module. The data reading module is connected to the bottom-hole trajectory judgment module, the bottom-hole trajectory judgment module is connected to the horizontal section trajectory control point and section length generation module, the horizontal section trajectory control point and section length generation module is connected to the horizontal section trajectory control point and section length adjustment module, and the horizontal section trajectory control point and section length adjustment module is connected to the dogleg severity and section length judgment module; among them, Data reading module: Obtain wellbore trajectory data and established geological steering model data; Bottom-hole trajectory judgment module: By calculating the wellbore trajectory data, and then comparing it with the data in the geological steering model, obtain the vertical depth of the bottom-hole trajectory from the top and bottom of the sub-layer, and judge the location of the bottom-hole trajectory; Horizontal section trajectory control point and section length generation module: Without restricting the dogleg severity of the horizontal section design trajectory, obtain the formation dip angle and box thickness of the horizontal section of the geological steering model; According to the position of the bottom-hole trajectory, formation dip angle and box thickness, use the radius of curvature method to preliminarily determine the adjustment control points and section length of the horizontal section trajectory, and use the radius of curvature method to generate trajectory control points and the initial design trajectory; Horizontal section trajectory control point and section length adjustment module: Used to adjust the control points and section length of the horizontal section trajectory under the condition of restricting the dogleg severity of the horizontal section design trajectory to obtain several design schemes for the horizontal section trajectory; Dogleg severity and section length judgment module: Judge whether the dogleg severity is less than the maximum dogleg severity, judge whether the length of the design trajectory in the box is the longest, and determine the position of the trajectory control point, section length and well inclination angle until a horizontal section trajectory that meets the requirements is obtained.

[0022] Further, in the horizontal section trajectory control point and section length generation module, the horizontal section trajectory control point and section length adjustment module, and the dogleg severity and section length judgment module, the following dogleg angle formula and dogleg severity formula are used. Among them, the dogleg angle formula is: ; represents the dogleg angle, represents the well inclination angle corresponding to point A, represents the well inclination angle corresponding to point B, represents the azimuth angle corresponding to point A, represents the azimuth angle corresponding to point B; The dogleg severity formula is: ; Through calculation, the dogleg severity corresponding to the control point is obtained.

[0023] Further, in the dogleg severity and section length judgment module, if the dogleg severity in the design scheme is not less than the maximum dogleg severity, the control points corresponding to the dogleg severity that does not meet the conditions and the adjacent control points are adjusted in terms of the trajectory control point position, section length, and well inclination angle, and verification is carried out again until the dogleg severity in the design scheme is less than the maximum dogleg severity, and the section length of the design trajectory in the box is the longest and the dogleg severity is the smallest, that is, the horizontal section trajectory that meets the condition of maximizing the drilling encounter rate is obtained; If the dogleg severity in the design scheme is less than the maximum dogleg severity, the final horizontal section trajectory is obtained.

[0024] Embodiment 3 Based on Embodiments 1-2, this embodiment provides: a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the method described in any one of Claims 1-4 are implemented.

[0025] Embodiment 4 Based on Embodiments 1-2, this embodiment provides: an information data processing terminal for an intelligent design method of a horizontal section trajectory based on a geological steering model.

[0026] Embodiment 5 Based on Embodiments 1-2, in this embodiment, the target box is Longyi 1 2 and Longyi 1 1 , with a small layer of 5m; the platinum box is Longyi 1 1 , and the bottom of the small layer is 3m high and pointed upward, as an example to further illustrate the invention.

[0027] Such as Figure 6As shown: The process of designing the horizontal section trajectory manually currently is cumbersome. One needs to design the trajectory data table, import the design data, project the trajectory, and check for compliance, repeating such operations in a loop. It takes a long time, with the entire horizontal section trajectory design taking 1 to 2 hours. In complex well sections, multiple trajectory plans need to be designed; the accuracy is low, it is difficult to select trajectory control points, and there is uncertainty in the control section length.

[0028] The intelligent design method for the horizontal section trajectory in the present invention simplifies the horizontal section trajectory design process, greatly improves the trajectory design efficiency, takes a short time, about 15 minutes, effectively improves the accuracy of the designed trajectory, and increases the box encounter rate; moreover, it effectively improves the trajectory smoothness, reduces engineering risks, and shortens the drilling and completion cycle.

[0029] The above are the preferred embodiments of the present invention and are not used to limit the present invention. Although the present invention has been described with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. An intelligent design method for the horizontal section trajectory based on a geosteering model, characterized in that Including: Obtain wellbore trajectory data and established geosteering model data, where the geosteering model data includes formation depth, formation dip, formation inflection point, and box thickness; By calculating the wellbore trajectory data, and then comparing it with the data in the geosteering model, obtain the vertical depth of the bottom hole trajectory from the top and bottom of the sub-layer, and judge the location of the bottom hole trajectory; Without restricting the dogleg severity of the designed trajectory in the horizontal section, obtain the formation dip and box thickness of the horizontal section of the geosteering model; according to the position of the bottom hole trajectory, formation dip, and box thickness, use the radius of curvature method to preliminarily determine the adjustment control points and section lengths of the horizontal section trajectory, and use the radius of curvature method to generate trajectory control points and the initial designed trajectory; Under the condition of restricting the dogleg severity of the designed trajectory in the horizontal section, adjust the control points and section lengths of the horizontal section trajectory to obtain several design schemes for the horizontal section trajectory; Judge whether the dogleg severity is less than the maximum dogleg severity, and judge whether the designed trajectory has the longest section length in the box, and determine the position of the trajectory control point, section length, and well inclination angle until a horizontal section trajectory that meets the requirements is obtained.

2. The intelligent design method for the horizontal section trajectory based on the geological steering model according to claim 1, wherein Obtain the dogleg severity corresponding to the trajectory control point through the dogleg angle formula and the dogleg severity formula; Where the dogleg angle formula is: ； Indicates the dogleg severity, Indicates the well inclination angle corresponding to point A, Indicates the well inclination angle corresponding to point B, Indicates the azimuth angle corresponding to point A, Indicates the azimuth angle corresponding to point B; The dogleg severity formula is: 。 3. The intelligent design method for the horizontal section trajectory based on the geological steering model according to claim 1, wherein The step of judging whether the dogleg severity is less than the maximum dogleg severity, judging whether the designed trajectory has the longest section length in the box, and determining the position of the trajectory control point, section length, and well inclination angle until a horizontal section trajectory that meets the requirements is obtained includes: If the dogleg severity in the design scheme is not less than the maximum dogleg severity, adjust the position, section length, and well inclination angle of the trajectory control point for the control point corresponding to the dogleg severity that does not meet the condition and the adjacent control points, and re-verify until the dogleg severity in the design scheme is less than the maximum dogleg severity, and the designed trajectory has the longest section length and the smallest dogleg severity in the box, that is, a horizontal section trajectory that meets the condition of maximizing the drilling encounter rate is obtained; If the dogleg severity in the design scheme is less than the maximum dogleg severity, then obtain the final horizontal section trajectory.

4. The intelligent horizontal section trajectory design method based on a geological steering model according to claim 3, characterized in that The adjustment is repeated using the "digital approximation method".

5. An intelligent design system for the horizontal section trajectory based on a geological steering model, characterized in that, Including a data reading module, a bottom hole trajectory judgment module, a horizontal section trajectory control point and section length generation module, a horizontal section trajectory control point and section length adjustment module, and a dogleg severity and section length judgment module. The data reading module is connected to the bottom hole trajectory judgment module, the bottom hole trajectory judgment module is connected to the horizontal section trajectory control point and section length generation module, the horizontal section trajectory control point and section length generation module is connected to the horizontal section trajectory control point and section length adjustment module, and the horizontal section trajectory control point and section length adjustment module is connected to the dogleg severity and section length judgment module; where, Data reading module: Obtain wellbore trajectory data and established geosteering model data; Bottom hole trajectory judgment module: By calculating the wellbore trajectory data, and then comparing it with the data in the geosteering model, obtain the vertical depth of the bottom hole trajectory from the top and bottom of the sub-layer, and judge the location of the bottom hole trajectory; Horizontal section trajectory control point and section length generation module: Without restricting the dogleg severity of the designed trajectory of the horizontal section, obtain the formation dip angle and box thickness of the horizontal section of the geological steering model; Based on the position of the bottom hole trajectory, formation dip angle and box thickness, use the radius of curvature method to preliminarily determine the adjustment control points and section length of the horizontal section trajectory, and use the radius of curvature method to generate the trajectory control points and the initial designed trajectory. Horizontal section trajectory control point and section length adjustment module: Used to adjust the control points and section length of the horizontal section trajectory under the condition of restricting the dogleg severity of the designed trajectory of the horizontal section to obtain several design schemes for the horizontal section trajectory. Dogleg severity and section length judgment module: Judge whether the dogleg severity is less than the maximum dogleg severity, judge whether the designed trajectory has the longest section length in the box, and determine the position of the trajectory control point, section length and well inclination angle until a horizontal section trajectory that meets the requirements is obtained.

6. The intelligent horizontal section trajectory design system based on a geological steering model according to claim 5, wherein In the horizontal section trajectory control point and section length generation module, horizontal section trajectory control point and section length adjustment module, and dogleg severity and section length judgment module, the dogleg severity corresponding to the trajectory control point is obtained through the dogleg angle formula and the dogleg severity formula. Among them, the dogleg angle formula is: ； Indicates the dogleg severity, Indicates the well inclination angle corresponding to point A, Indicates the well inclination angle corresponding to point B, Indicates the azimuth angle corresponding to point A, Indicates the azimuth angle corresponding to point B; The dogleg severity formula is: 。 7. The intelligent horizontal section trajectory design system based on a geological steering model according to claim 5, wherein In the dogleg severity and section length judgment module, if the dogleg severity in the design scheme is not less than the maximum dogleg severity, for the control points corresponding to the dogleg severity that does not meet the conditions and the adjacent control points, adjust the position of the trajectory control point, section length and well inclination angle, and re-verify until the dogleg severity in the design scheme is less than the maximum dogleg severity, and the designed trajectory has the longest section length and the smallest dogleg severity in the box, that is, a horizontal section trajectory that meets the condition of maximizing the drilling encounter rate is obtained. If the dogleg severity in the design scheme is less than the maximum dogleg severity, then the final horizontal section trajectory is obtained.

8. A computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the method described in any one of claims 1-4 are implemented.

9. An information data processing terminal for an intelligent design method of a horizontal section trajectory based on a geological steering model.

Images