Horizontal directional drilling slurry performance self-adaptive adjustment method based on big data analysis

Abstract

The invention discloses a horizontal directional drilling slurry performance self-adaptive adjustment method based on big data analysis, and relates to the technical field of slurry performance adjusting.According to the method, the height from each geological layer to the ground is determined according to a geological survey result, and the current geological layer is determined by combining the descending depth of a drilling machine; then, a drilling path is selected through pre-line investigation and design, and the passing distance of a drill hole in each layer is determined, so that the slurry demand quantity of each geological layer is calculated; next, the next target geological layer and the corresponding slurry requirement are judged in advance, and slurry preparation is conducted in the slurry preparation area in a corresponding preparation mode; in the combined blending process of the circulating slurry, the difference between the performance of the circulating slurry and the target requirement is determined in advance, and a solvent is added for performance adjustment; and finally, when the drilling machine enters the next target geological layer, the prepared slurry is uniformly conveyed to a slurry pump entering area, and it is ensured that the construction process is continuous and performance is matched.

Description

Technical Field

[0001] The present invention relates to the technical field of mud property adjustment, and specifically to an adaptive adjustment method for the mud properties of horizontal directional drilling based on big data analysis. Background Art

[0002] Horizontal Directional Drilling (HDD) technology has been increasingly widely used in various underground projects due to its advantages such as high efficiency and environmental protection. However, the regulation of mud properties during the drilling process has always been a key link to ensure drilling stability and construction safety. Traditional mud preparation methods mainly rely on empirical formulas and preset ratios, usually formulating plans based on static experimental data and historical engineering cases. In the face of actual engineering situations such as complex geological conditions and uneven interlayer distributions, this method is prone to problems such as insufficient or excessive mud supply and inaccurate performance matching, which will affect the drilling efficiency and even pose safety risks.

[0003] In addition, the lack of effective technical means for the real-time matching of the borehole trajectory and underground geological information makes it difficult for traditional methods to achieve accurate prediction of mud demand and dynamic regulation, restricting the improvement of the overall project quality. Summary of the Invention

[0004] Aiming at the deficiencies of the existing technology, the present invention provides an adaptive adjustment method for the mud properties of horizontal directional drilling based on big data analysis, which solves the problems of inaccurate mud property matching and unreasonable resource utilization in traditional horizontal directional drilling construction.

[0005] To achieve the above objectives, the present invention is realized through the following technical solutions: An adaptive adjustment method for the mud properties of horizontal directional drilling based on big data analysis, including: Step 1: According to the geological exploration results, determine the height of different geological layers from the ground, and then, based on the working depth of the horizontal directional drilling, in combination with the height of different geological layers from the ground, confirm the geological layer where the horizontal directional drilling is located; Step 2: Through the pre-construction line survey and design, select the construction path of the horizontal directional drilling. Based on the construction path of the horizontal directional drilling, determine the geological layers passed by the horizontal directional drilling and the path distances of the passed geological layers, and confirm the corresponding mud demand according to the path distances of different passed geological layers; Step 3: Pre-confirm the next target geological layer reached during the horizontal directional drilling construction and the mud demand required for the next target geological layer, determine the mud preparation method in the mud preparation area, and prepare the mud demand required for the target geological layer in the mud preparation area; Step 4: During the process of mixing and preparing the circulating mud liquid, pre-determine the properties of the circulating mud liquid, obtain the performance gap between the properties of the circulating mud liquid and the mud properties required for the target geological layer, and perform the preparation by adding solvents in combination with the performance gap to achieve the mud properties required for the target geological layer. Step Five: After the preparation is completed, when the horizontal directional drill enters the next target geological layer reached, uniformly transport the mud demand in the mud preparation area to the mud inlet pump area.

[0006] As a further solution of the present invention: In the second step, the specific method for determining the geological layers passed by the horizontal directional drill and the path distance through the geological layers is as follows: Underground geological stratification model construction: According to the results of preliminary geological surveys, determine the depth, thickness and spatial distribution of each geological layer; Based on the construction path of the horizontal directional drill, obtain the corresponding borehole trajectory data of the horizontal directional drill, perform spatial superposition calculation on the borehole trajectory data and the underground geological stratification model, and determine the path distance passed by the borehole of the horizontal directional drill in different geological layers.

[0007] As a further solution of the present invention: The specific method for confirming the corresponding mud demand according to the path distance through different geological layers is as follows: Determine the mud demand benchmark coefficient through the following formula :

[0008] where 1 ≤ i ≤ n, and n represents the total number of different geological layers passed by the horizontal directional drill; is a function describing the physical properties of the geological layer; is the stress and fracturing risk assessment value of the formation during drilling; is the expected additional mud demand compensation; is the correction coefficient; Combined with the mud demand benchmark coefficient and the path distance of the corresponding geological layer , construct a mud demand coupling model to determine the mud demand of the corresponding geological layer.

[0009] As a further solution of the present invention: In the third step, the mud preparation methods in the mud preparation area include the original set preparation method and the circulating mud liquid combined preparation method.

[0010] As a further solution of the present invention: The specific content for determining the mud preparation method in the mud preparation area is as follows: Filter the mud liquid in the mud pit to obtain the purified circulating mud liquid, and store the circulating mud liquid in the mud storage area. Real-time judge whether the storage volume of the circulating mud liquid in the mud storage area is greater than the mud demand required by the target geological layer: If the storage volume of the circulating mud liquid is greater than or equal to the mud demand required by the target geological layer, then perform the circulating mud liquid combined preparation method; Otherwise, perform the original set preparation method.

[0011] As a further solution of the present invention: in the fourth step, during the process of compounding the circulating mud liquid, the performance of the circulating mud liquid is determined in advance to obtain the performance gap between the performance of the mud required for the target geological layer, and the solvent is added for compounding in combination with the performance gap to achieve the specific method of the mud performance required for the target geological layer as follows: Obtain the key performance parameters of the circulating mud liquid, including: viscosity, density, and filtration loss; and preprocess the performance parameters to obtain the set of key performance parameters of the circulating mud liquid, denoted as:

[0012] wherein, is the viscosity performance parameter, is the density performance parameter, is the filtration loss performance parameter; Obtain the set of mud performance parameters required for the pre-set target geological layer :

[0013] wherein, is the viscosity performance parameter required for the target geological layer, is the density performance parameter required for the target geological layer, is the filtration loss performance parameter required for the target geological layer; Combine with to determine the set of performance gaps between the performance parameters of the circulating mud liquid and the mud performance parameters required for the target geological layer :

[0014] wherein, is the performance gap between the viscosity performance parameter and the viscosity performance parameter required for the target geological layer , is the performance gap between the density performance parameter and the density performance parameter required for the target geological layer , is the performance gap between the filtration loss performance parameter and the filtration loss performance parameter required for the target geological layer ; and , , , ; Then, through the following formula, determine the comprehensive value of each performance gap in the set of performance gaps :

[0015] where j = 1, 2, 3, is the weight coefficient of the importance of each performance gap.

[0016] As a further solution of the present invention: it further includes: Combined with the magnitude of the comprehensive value of each performance gap in the performance gap set, sort from large to small, and sequentially add relevant solvents to adjust the performance of the circulating mud to the mud performance required for the target geological layer.

[0017] As a further solution of the present invention: in the fifth step, it further includes: When the mud demand in the mud preparation area is uniformly transported to the mud inlet pump area, then confirm again the next target geological layer reached by the horizontal directional drill, obtain the mud demand required for the next reached geological layer. After completion of the preparation, when the horizontal directional drill enters the next reached geological layer, uniformly transport the mud demand in the mud preparation area to the mud inlet pump area, and so on until there is no next target geological layer.

[0018] The present invention provides a method for self - adaptive adjustment of horizontal directional drill mud performance based on big data analysis. Compared with the prior art, it has the following beneficial effects: Through integrating geological exploration data, borehole trajectory analysis, accurate calculation of mud demand, flexible deployment strategy and closed - loop transportation control, the present invention realizes the full - process optimization of self - adaptive adjustment of mud performance during the construction of horizontal directional drills; each step is interconnected, making a scientific and dynamic system formed from formation confirmation to construction closed - loop management, which can not only efficiently match the engineering requirements under different geological conditions, but also greatly reduce the construction risk, improve the operation efficiency, and ensure the stability and safety of the drilling process.

[0019] The present invention realizes the accurate matching and real - time correction of mud performance from prediction, deployment to actual application, effectively solving problems such as mismatched mud performance, resource waste and potential safety hazards that traditional horizontal directional drills may face in different strata. At the same time, by constructing an adaptive control system based on big data, the frequency of manual intervention is reduced. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The present invention will be further described below with reference to the drawings.

[0021] Figure 1 is the step flow chart of the method for self - adaptive adjustment of horizontal directional drill mud performance based on big data analysis of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0022] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings in the embodiments of the present invention. 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.

[0023] Embodiment 1 Please refer to Figure 1 , the present invention provides an adaptive adjustment method for the performance of horizontal directional drilling mud based on big data analysis, including; Step 1: According to the geological exploration results, determine the height of different geological layers from the ground, and then, based on the working depth of the horizontal directional drill, combine with the height of different geological layers from the ground to confirm the geological layer where the horizontal directional drill is located; It should be noted that geological exploration needs to be carried out before the horizontal directional drill works to determine whether the geological layer meets the working requirements of the horizontal directional drill; the exploration content includes: stratum distribution (such as clay, sand layer, pebble layer, rock layer, etc.), stratum depth and thickness (determine the distribution range and depth of each stratum underground), obstacle detection (underground pipelines, foundation residues, buried objects, etc.) and these operations; Step 2: Through the pre-construction line survey and design, select the construction path of the horizontal directional drill. Based on the construction path of the horizontal directional drill, determine the geological layers passed by the horizontal directional drill and the path distance of the geological layers passed through, and confirm the corresponding mud demand according to the path distance of different geological layers passed through; The specific method for determining the geological layers passed by the horizontal directional drill and the path distance of the geological layers passed through is as follows: AS1: Construction of the underground geological stratification model: According to the previous geological exploration results, determine the depth, thickness and spatial distribution of each geological layer; AS2: Based on the construction path of the horizontal directional drill, obtain the corresponding borehole trajectory data of the horizontal directional drill, and perform spatial superposition calculation on the borehole trajectory data and the underground geological stratification model to determine the path distance passed by the borehole of the horizontal directional drill in different geological layers; Specifically, before construction, through means such as drilling, geological sampling, geophysical exploration (such as seismic reflection, geoelectricity, magnetic method, etc.), obtain the underground distribution of different geological layers; after these data are summarized and processed, an underground geological stratification model is constructed to determine the height of each layer interface from the ground and the spatial extension range; Adopt GIS (Geographic Information System) or BIM (Building Information Modeling) technology to digitize exploration data and construct a 3D geological model, which can more intuitively display the stratum distribution and provide an accurate model basis for subsequent superposition calculations with borehole trajectories. Reconstruct and simulate the 3D borehole trajectory through trajectory simulation software (such as borehole trajectory simulation software, tunnel design software, etc.) to output the spatial coordinate data of the borehole. These data often exist in the form of curves or discrete points and can be directly used for superposition calculations with the geological model in the later stage. Data fusion and 3D superposition: Import the underground geological stratification model and borehole trajectory data into a calculation platform (usually a CAD system, GIS platform, or customized project management system), and use spatial superposition algorithms (such as 3D cross-checking, spatial interpolation, etc.) to determine the distance that the borehole passes through each geological layer. The specific method for confirming the corresponding mud demand according to the path distance passing through different geological layers is as follows: BS1: Determine the mud demand benchmark coefficient through the following formula :

[0024] where 1 ≤ i ≤ n, and n represents the total number of different geological layers passed through by the horizontal directional drill; is a function describing the physical properties of the geological layer (such as permeability, clay content, porosity, etc.) and can be parameterized using fuzzy logic or multiple regression analysis; is the stress and fracturing risk assessment value of the formation during drilling, reflecting the need to achieve formation stability through mud regulation; is the additional demand compensation caused by factors such as formation temperature and mineral reactions during the transportation and circulation of the expected mud; is a correction coefficient obtained through laboratory tests and inversion of historical engineering data to ensure the matching of the model with actual mud consumption; BS2: Combine the mud demand benchmark coefficient , construct a mud demand coupling model, and the mud demand coupling model is reflected by the following formula:

[0025] where, is the mud demand for the corresponding geological layer, is the actual path distance of the corresponding geological layer; Specifically, is a function describing the physical properties of the formation and is reflected by the following formula:

[0026] where: represents the permeability of the corresponding geological layer, Expressed as the porosity of the corresponding geological layer, Expressed as the clay content of the corresponding geological layer; is the regression coefficient, which is determined by fitting a large number of on-site tests and historical data; In this step, by constructing an underground geological stratification model and integrating borehole trajectory data, the path distance passed by the horizontal directional drill in each geological layer is accurately calculated using spatial overlay technology, and then the mud demand under different geological layers is determined; such a calculation method not only makes the mud consumption more accurate and reasonable, avoiding engineering risks caused by excessive or insufficient mud use, but also provides a quantitative basis for on-site timely regulation; relying on the formula model and data regression analysis, factors such as formation physical properties, stress risks, and temperature-mineral reactions can be effectively compensated to ensure that the mud ratio closely matches the actual underground situation, thus promoting the continuity and efficiency of the drilling process; Step 3: Pre-confirm the next target geological layer reached during the horizontal directional drill construction and the mud demand required for the next target geological layer, determine the mud mixing method in the mud mixing area, and mix the mud demand required for the target geological layer in the mud mixing area; The mud mixing methods in the mud mixing area include the original setting mixing method and the circulating mud liquid combined mixing method; It should be noted that the original setting mixing is a mixing method pre-set by professional staff, which is a method of formulating the mud performance required to reach the target geological layer by mixing the provided original water, clay, and a certain mixing solution; The specific content of determining the mud mixing method in the mud mixing area is: Filter the mud liquid in the mud pit to obtain purified circulating mud liquid, and store the circulating mud liquid in the mud storage area. Real-time judge whether the storage volume of the circulating mud liquid in the mud storage area is greater than the mud demand required for the target geological layer: If the storage volume of the circulating mud liquid is greater than or equal to the mud demand required for the target geological layer, then the circulating mud liquid combined mixing method is carried out; Otherwise, the original setting mixing method is carried out; On the premise of clarifying the next target geological layer and its corresponding mud demand, this step flexibly selects the mud mixing method according to real-time construction data, including both the original setting mixing method and the circulating mud liquid combined mixing method; through this dual selection mechanism, not only the fine matching of the mud performance requirements in different construction stages is achieved, but also the mixing strategy can be switched in a timely manner according to the storage volume and quality status of the circulating mud liquid on site; this not only saves raw materials, but also improves the response speed and adaptability of mud mixing at the construction site, providing higher economy and operation flexibility for the entire drilling process and ensuring the smooth progress of the project; Step 4: During the combined preparation of the circulating mud, pre-determine the properties of the circulating mud to obtain the performance gap between the properties of the circulating mud and the mud properties required for the target geological layer, and combine the performance gap to prepare the addition of solvents to achieve the mud properties required for the target geological layer; It should be noted that the mud properties required for different target geological layers are all different. The combined preparation method of the circulating mud is to make the properties of the circulating mud reach the mud properties required for the target geological layer through a certain ratio of added solvents; The specific method of pre-determining the properties of the circulating mud during the combined preparation of the circulating mud, obtaining the performance gap between the properties of the circulating mud and the mud properties required for the target geological layer, and combining the performance gap to prepare the addition of solvents to achieve the mud properties required for the target geological layer is as follows: CS1: Obtain the key performance parameters of the circulating mud, including viscosity, density, and filtration loss; and preprocess the performance parameters to obtain the set of key performance parameters of the circulating mud, denoted as:

[0027] Among them, is the viscosity performance parameter, is the density performance parameter, is the filtration loss performance parameter; It should be noted that the key performance parameters of the circulating mud are specifically determined by professional staff. In this embodiment, the key performance parameters of the circulating mud include three key performance parameters: viscosity, density, and filtration loss. In reality, there may be more key performance parameters, such as pH value and temperature; CS2: According to the engineering requirements of different target geological layers, pre-set the set of mud performance parameters required for the target geological layer :

[0028] Among them, is the viscosity performance parameter required for the target geological layer, is the density performance parameter required for the target geological layer, is the filtration loss performance parameter required for the target geological layer; CS3: Combine with to determine the set of performance gaps between the performance parameters of the circulating mud and the mud performance parameters required for the target geological layer :

[0029] Among them, is the viscosity performance parameter The viscosity performance parameters required for the target geological formation The performance gap is the density performance parameter and the density performance parameter required for the target geological formation The performance gap is the filtration loss volume performance parameter and the filtration loss volume performance parameter required for the target geological formation The performance gap; and , , , ; CS4: Then, through the following formula, determine the comprehensive value of each performance gap in the performance gap set :

[0030] where j = 1, 2, 3, is the weight coefficient of the importance of each performance gap; CS5: Combine the sizes of the comprehensive values of each performance gap in the performance gap set and sort them from large to small, and then add relevant solvents in turn to adjust the performance of the circulating mud to reach the mud performance required for the target geological formation; During the mud preparation process, by pre-determining the key performance indicators of the current circulating mud (such as viscosity, density, filtration loss volume, etc.) and comparing them with the performance parameters required for the target geological formation, the performance gap can be quantified, and a solvent addition plan can be formulated accordingly for preparation; this method enables the mud to be accurately adjusted to the ideal state in a short time, which can not only meet the strict requirements of different formations for the physical and chemical properties of the mud, but also effectively reduce the risk of drilling accidents caused by performance mismatch; through comprehensive sorting and step-by-step adjustment, it is ensured that the mud preparation process has high pertinence and self-adaptability, thereby improving the stability, continuity and construction quality of the entire drilling project; Step Five: After the preparation is completed, when the horizontal directional drill enters the next reached target geological formation, uniformly transport the mud demand in the mud preparation area to the mud inlet pump area; It should be noted that during the construction process of the horizontal directional drill, corresponding construction is carried out through the circulation cooperation principle of the mud and the HDD equipment, and the process is as follows: The mud is sent from the mud pump into the inside of the drill pipe and reaches the drill bit or reamer directly; The mud flushes the drill bit, carries the drill cuttings, and returns to the ground from the borehole; The returned mud enters the return mud pit and is filtered through a screen / desander; The purified mud re-enters the mud tank, is adjusted and then pumped again; After the mud preparation is completed, in step five, the prepared mud is uniformly transported to the mud inlet pump area, forming a close circulation cooperation with the drilling equipment, realizing the integrated management of automatic mud transportation and on-site construction. This step not only ensures the continuous supply of mud during drilling, improves the stability of the borehole, but also forms a closed-loop control mechanism by monitoring the transportation and mud recovery in real time and re-entering the preparation process.

[0031] Embodiment 2 In the specific implementation process of this embodiment, on the basis of Embodiment 1, and the difference from Embodiment 1 is that in step five, it further includes: When the mud demand in the mud preparation area is uniformly transported to the mud inlet pump area, then the next target geological layer reached by the horizontal directional drill is confirmed again, and the mud demand required for the next reached geological layer is obtained. After the preparation is completed, when the horizontal directional drill enters the next reached geological layer, the mud demand in the mud preparation area is uniformly transported to the mud inlet pump area, and so on until there is no next target geological layer.

[0032] Embodiment 3 In the specific implementation process of this embodiment, it includes all the implementation processes of the above three groups of embodiments.

[0033] Some data in the above formula are numerically calculated after removing their dimensions, and the content not described in detail in this specification belongs to the prior art well-known to those skilled in the art.

[0034] The above embodiments are only used to illustrate the technical method of the present invention and not to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical method of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A method for adaptively adjusting mud performance for horizontal directional drilling based on big data analysis, characterized in that: include: Step 1: According to the geological survey results, determine the height of different geological layers from the ground, and then confirm the geological layer where the horizontal directional drill is located based on the working depth of the horizontal directional drill and the height of different geological layers from the ground; Step 2: Through the route survey and design before construction, the construction path of the horizontal directional drilling is selected. Based on the construction path of the horizontal directional drilling, the geological layers and the path distance through the geological layers that the horizontal directional drilling passes through are determined, and the corresponding mud demand is determined according to the path distance through different geological layers; Step 3: pre-confirm the next target geological layer to be reached during horizontal directional drilling construction, as well as the mud demand required for the next target geological layer to be reached, determine the mud mixing method in the mud mixing area, and mix the mud demand required for the target geological layer in the mud mixing area; Step 4: In the process of mixing the circulating mud, the performance of the circulating mud is determined in advance to obtain the performance gap between the circulating mud and the mud performance required by the target geological formation, and the solvent is added to mix the mud according to the performance gap to achieve the mud performance required by the target geological formation; Step 5: After the preparation is completed, when the horizontal directional drill enters the next target geological layer, the mud required in the mud preparation area is uniformly transported to the mud pumping area.

2. The method for adaptively adjusting mud performance for horizontal directional drilling based on big data analysis according to claim 1 is characterized in that: In step 2, the specific method of determining the geological layer passed by the horizontal directional drilling and the path distance through the geological layer is: Construction of underground geological stratification model: Determine the depth, thickness and spatial distribution of each geological layer based on the results of previous geological surveys; Based on the construction path of the horizontal directional drill, the corresponding drilling trajectory data of the horizontal directional drill is obtained, and the drilling trajectory data is spatially superimposed with the underground geological stratification model to determine the path distance of the horizontal directional drill in different geological layers.

3. The method for adaptively adjusting mud performance for horizontal directional drilling based on big data analysis according to claim 2 is characterized in that: The specific method of determining the corresponding mud demand according to the path distance through different geological layers is: The mud demand base factor is determined by the following formula : Where, 1≤i≤n, n represents the total number of different geological layers passed by the horizontal directional drilling; is a function describing the physical properties of the geological layer; It is the stress and fracturing risk assessment value of the formation during drilling; Compensation for anticipated additional mud demand; is the correction factor; Combined with the mud demand benchmark factor Path distance to the corresponding geological layer , construct a mud demand coupling model to determine the mud demand for the corresponding geological layer.

4. The method for adaptively adjusting mud performance for horizontal directional drilling based on big data analysis according to claim 1 is characterized in that: In the step three, the mud mixing method in the mud mixing area includes an original setting mixing method and a circulating mud liquid combined mixing method.

5. The method for adaptively adjusting mud performance for horizontal directional drilling based on big data analysis according to claim 4 is characterized in that: The specific contents of the mud mixing method for determining the mud mixing area are as follows: The mud in the mud pool is filtered to obtain the purified circulating mud, which is then placed in the mud storage area for storage. It is determined in real time whether the storage volume of the circulating mud in the mud storage area is greater than the mud demand required by the target geological formation: If the storage volume of the circulating mud liquid is greater than or equal to the mud demand volume required by the target geological formation, a combined circulating mud liquid deployment method is performed; Otherwise, the original setting allocation method is performed.

6. The method for adaptively adjusting mud performance for horizontal directional drilling based on big data analysis according to claim 1 is characterized in that: In step 4, during the mixing of the circulating mud liquid, the performance of the circulating mud liquid is pre-determined to obtain the performance gap between the circulating mud liquid and the mud performance required by the target geological layer, and the solvent is added to mix the mud according to the performance gap. The specific method of achieving the mud performance required by the target geological layer is as follows: The key performance parameters of the circulating mud are obtained, including viscosity, density and filtration loss; and the performance parameters are preprocessed to obtain a set of key performance parameters of the circulating mud, which is recorded as: in, is the viscosity performance parameter, is the density performance parameter, is the filtration loss performance parameter; Obtain the set of mud performance parameters required for the pre-set target geological formation : in, The viscosity performance parameters required for the target geological formation, Density performance parameters required for the target geological formation, The required fluid loss performance parameters for the target geological formation; Combination and Determine the performance gap set between the circulating mud fluid performance parameters and the mud performance parameters required for the target geological formation : in, Viscosity performance parameter The viscosity performance parameters required by the target geological formation The performance gap Density performance parameter Density performance parameters required for the target geological formation The performance gap The performance parameter of filtration loss The required fluid loss performance parameters for the target geological formation performance gap; and , , , ; Then, the comprehensive value of each performance gap in the performance gap set is determined by the following formula: : Where j = 1, 2, 3, is the weight coefficient of the importance of each performance gap.

7. The method for adaptively adjusting mud performance for horizontal directional drilling based on big data analysis according to claim 6 is characterized in that: Also includes: The performance gaps in the performance gap set are sorted from large to small based on their comprehensive values, and relevant solvents are added in sequence to adjust the performance of the circulating mud liquid to achieve the mud performance required by the target geological formation.

8. The method for adaptively adjusting mud performance for horizontal directional drilling based on big data analysis according to claim 1, characterized in that: The step 5 further includes: When the mud demand in the mud mixing area is uniformly transported to the mud pumping area, the next target geological layer to be reached by the horizontal directional drill is confirmed again to obtain the mud demand required for the next geological layer to be reached. After the mixing is completed, when the horizontal directional drill enters the next geological layer to be reached, the mud demand in the mud mixing area is uniformly transported to the mud pumping area, and so on, until there is no next target geological layer to be reached.

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