Control method for soft soil layer drilling efficiency, electronic equipment and computer storage medium

Abstract

The present application relates to a method for controlling the drilling efficiency of a soft soil layer, an electronic device and a computer storage medium. The method for controlling the drilling efficiency of a soft soil layer is applied to a rotary drilling rig, and includes the following steps: establishing a virtual hole model of a soft soil layer; determining the key influencing factors of the rotary drilling rig when operating in a soft soil layer through big data analysis based on the virtual hole model of the soft soil layer; and regulating the drilling efficiency of the rotary drilling rig operating in a soft soil layer according to the key influencing factors. The present application analyzes the drilling efficiency of a rotary drilling rig in a soft soil layer through virtual modeling, which saves the test cost and effectively improves the drilling efficiency of the rotary drilling rig in a soft soil layer.

Description

Technical Field

[0001] The present application relates to the technical field of equipment control, and in particular to a method for controlling drilling efficiency in a soft soil layer, an electronic device and a computer storage medium. Background Art

[0002] As construction equipment for underground spaces with pile foundations, rotary drilling rigs are mainly used for large piles and rock penetration. They are often suitable for medium-weathered and above strata with strong geological hardness. The rock penetration mode is mainly used during the drilling process, that is, the torque of the power head is large and the rotation speed is low. However, single rock layer structures are relatively rare in geology. When actually drilling holes, shallow holes of about 10 meters are mostly soft soil layers. In the process of conceiving and realizing this application, the applicant found that there are at least the following problems: When the rotary drilling rig acts on soft soil layers, the drilling efficiency has no obvious advantage over small models, and is even lower than that of small models. In actual use, the pressurized footage system cannot fully utilize the full drilling performance of the equipment, resulting in low drilling efficiency in soft soil layers.

[0003] The preceding description is intended to provide general background information and does not necessarily constitute prior art. Summary of the invention

[0004] In response to the above technical problems, the present application provides a control method for the drilling efficiency in soft soil layers, an electronic device and a computer storage medium. The drilling efficiency of a rotary drilling rig in soft soil layers is analyzed through virtual modeling, which saves test costs and effectively improves the drilling efficiency of the rotary drilling rig in soft soil layers.

[0005] In order to solve the above technical problems, the present application provides a method for controlling the drilling efficiency of soft soil layers, which is applied to a rotary drilling rig, comprising:

[0006] Establish virtual hole model of soft soil layer;

[0007] Determine the key influencing factors of the rotary drilling rig when operating in the soft soil layer through big data analysis based on the soft soil layer virtual hole model;

[0008] The drilling efficiency of the rotary drilling rig operating in a soft soil layer is regulated according to the key influencing factors.

[0009] Optionally, the establishing of a virtual hole model of a soft soil layer comprises:

[0010] Using the construction object parameters of the physical hole in the soft soil layer as input conditions for generating the virtual hole in the soft soil layer, the construction object parameters of the physical hole in the soft soil layer including at least one of the geological type, the pile diameter and the hole depth;

[0011] Finding multiple soft soil layer entity hole data with the same or partially the same parameters as the construction object;

[0012] Extractions are extracted layer by layer from the physical holes of the soft soil layer one by one, and the extracts in the physical holes of the soft soil layer are backfilled layer by layer one by one to form virtual holes of the soft soil layer, so as to obtain the virtual hole model of the soft soil layer.

[0013] Optionally, the establishing of the soft soil layer model further includes:

[0014] The construction object parameters of the physical hole in the soft soil layer and the construction operation parameters of the physical hole in the soft soil layer are used as input conditions for generating the virtual hole in the soft soil layer, wherein the construction object parameters of the physical hole in the soft soil layer include at least one of the geological type, the pile diameter and the hole depth, and the construction operation parameters of the physical hole in the soft soil layer include at least one of the gear position, the rotation speed, the pressure, the footage, the bucket type and the torque;

[0015] Searching for solid hole data of a soft soil layer that is identical or partially identical to the construction object parameters and / or construction operation parameters;

[0016] Extractions are extracted layer by layer from the physical holes of the soft soil layer one by one, and the extracts in the physical holes of the soft soil layer are backfilled layer by layer one by one to form virtual holes of the soft soil layer, so as to obtain the virtual hole model of the soft soil layer.

[0017] Optionally, the determining of key influencing factors of the rotary drilling rig when operating in the soft soil layer through big data analysis based on the soft soil layer virtual hole model includes:

[0018] Simulating the rotary drilling rig operating in the soft soil layer in the soft soil layer virtual hole model;

[0019] The relationship between a plurality of influencing factors and the drilling efficiency of the rotary drilling rig in the soft soil layer is analyzed to determine the key influencing factors.

[0020] Optionally, the influencing factors include equipment operating conditions and operating parameters, the equipment operating conditions include at least one of equipment type and system load, and the operating parameters include at least one of pressurization force, pressurization duration, engine gear, winch tension, winch floating tension, footage speed, and pressurization speed.

[0021] Optionally, after determining the key influencing factors of the rotary drilling rig when operating in the soft soil layer through big data analysis based on the soft soil layer virtual hole model, the method further includes:

[0022] A functional relationship between the key influencing factors and the drilling efficiency of the rotary drilling rig when operating in a soft soil layer is established.

[0023] Optionally, controlling the rotary drilling rig to drill into the soft soil layer according to the key influencing factors includes:

[0024] Obtaining the initial drilling efficiency of the rotary drilling rig when operating in a soft soil layer;

[0025] Obtaining the real-time drilling efficiency of the rotary drilling rig during drilling into the soft soil layer;

[0026] If the real-time drilling efficiency is less than the initial drilling efficiency, the value of the key influencing factor is determined according to a functional relationship between the key influencing factor and the drilling efficiency of the rotary drilling rig when operating in a soft soil layer;

[0027] The key influencing factor is adjusted according to the value of the key influencing factor so that the real-time drilling efficiency is greater than or equal to the initial drilling efficiency.

[0028] Optionally, obtaining the initial drilling efficiency of the rotary drilling rig when operating in a soft soil layer includes:

[0029] Identify geological types and working conditions information;

[0030] If the geological type is a soft soil layer, the initial drilling efficiency is obtained according to the working condition information, and the drilling efficiency is the ratio of the footage to the footage time.

[0031] The present application also provides an electronic device, comprising a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein when the computer program is executed by the processor, the steps of the method for controlling the soft soil layer drilling efficiency as described in any one of the above items are implemented.

[0032] The present application also provides a computer storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the method for controlling the drilling efficiency of a soft soil layer as described above are implemented.

[0033] The control method of soft soil drilling efficiency, electronic device and computer storage medium of the present application are applied to rotary drilling rigs, and include the following steps: establishing a virtual hole model of soft soil; determining the key influencing factors of the rotary drilling rig when operating in the soft soil layer through big data analysis based on the virtual hole model of the soft soil layer; and regulating the drilling efficiency of the rotary drilling rig in the soft soil layer according to the key influencing factors. The present application analyzes the drilling efficiency of the rotary drilling rig in the soft soil layer through virtual modeling, which saves the test cost and effectively improves the drilling efficiency of the rotary drilling rig in the soft soil layer. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 is a flow chart of a method for controlling drilling efficiency in a soft soil layer according to an embodiment of the present application;

[0035] Figure 2 It is a structural schematic diagram of establishing a virtual hole model of a soft soil layer according to an embodiment of the present application;

[0036] Figure 3It is a specific flow chart of a method for controlling drilling efficiency in a soft soil layer according to an embodiment of the present application;

[0037] Figure 4 It is a schematic diagram of the structure of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0038] The following is an explanation of the implementation of the present application by means of specific embodiments. People familiar with the art can easily understand other advantages and effects of the present application from the contents disclosed in this specification.

[0039] In the following description, reference is made to the accompanying drawings, which describe several embodiments of the present application. It should be understood that other embodiments may also be used, and the following detailed description should not be considered restrictive, and the terms used herein are only for describing specific embodiments and are not intended to limit the present application.

[0040] It should be further understood that the terms "comprises" and "includes" indicate the presence of the described features, steps, operations, elements, components, items, kinds, and / or groups, but do not exclude the presence, occurrence, or addition of one or more other features, steps, operations, elements, components, items, kinds, and / or groups. The terms "or" and "and / or" used herein are interpreted as inclusive, or mean any one or any combination. Therefore, "A, B or C" or "A, B and / or C" means "any of the following: A; B; C; A and B; A and C; B and C; A, B and C". Exceptions to this definition will only occur when the combination of elements, functions, steps or operations is inherently mutually exclusive in some way.

[0041] Figure 1 FIG. 1 is a flow chart of a method for controlling the drilling efficiency of a soft soil layer according to an embodiment of the present application. Figure 1 As shown, the method for controlling the drilling efficiency of soft soil layers of this embodiment is applied to a rotary drilling rig and includes the following steps:

[0042] Step S201, establishing a virtual hole model of a soft soil layer.

[0043] The low drilling efficiency in soft soil layers is caused by the strong coupling of multiple factors (pressure, pressure speed, power head torque, rotation speed, main winch floating speed, geology, aperture, etc.). In the prior art, the methods for excavating factors affecting the construction efficiency of soft soil layers are mostly "bench test-simulated power head torque load", "experimental well-simulated main winch lifting", "experimental hole-simulated specific single geological hardness", etc. However, the "bench test" uses a torque test bench, which can only simulate the load torque alone and cannot simulate the pressurization process. The "experimental well" can only simulate the main winch lifting speed in the construction efficiency, and the simulation scene is relatively single. The "experimental hole" can only simulate strata with a single geological hardness, and the same experimental hole cannot be reused. The simulation cost of excavation conditions with different geology, aperture, and hole depth is high, resulting in an increase in experimental costs. In view of this, the embodiment of the present application simulates the construction process of the rotary drilling rig in the soft soil layer through a soft soil layer virtual hole model, and obtains the key influencing factors affecting the rotary drilling rig drilling into the soft soil layer based on multi-influencing factor analysis. In this way, the test cost is saved and the drilling efficiency of the rotary drilling rig when operating in soft soil layers is improved.

[0044] As one implementation method, a virtual hole model of a soft soil layer is established, including:

[0045] The construction object parameters of the solid hole in the soft soil layer are used as input conditions for generating the virtual hole in the soft soil layer, wherein the construction object parameters of the solid hole in the soft soil layer include at least one of geology, pile diameter and hole depth;

[0046] Find multiple soft soil layer entity hole data with the same or partially the same parameters as the construction object;

[0047] Extractions are extracted layer by layer from the solid hole data of each soft soil layer, and the extracts in the solid hole of the soft soil layer are backfilled layer by layer to form virtual holes of the soft soil layer, so as to obtain a virtual hole model of the soft soil layer.

[0048] As one implementation method, establishing a soft soil layer model further includes:

[0049] The construction object parameters of the physical hole in the soft soil layer and the construction operation parameters of the physical hole in the soft soil layer are used as input conditions for generating the virtual hole in the soft soil layer, wherein the construction object parameters of the physical hole in the soft soil layer include at least one of geology, pile diameter and hole depth, and the construction operation parameters of the physical hole in the soft soil layer include at least one of gear position, rotation speed, pressure, footage, bucket type and torque;

[0050] Finding solid hole data of soft soil layer that is identical or partially identical to construction object parameters and / or construction operation parameters;

[0051] Extractions are extracted layer by layer from the solid hole data of each soft soil layer, and the extracts in the solid hole of the soft soil layer are backfilled layer by layer to form virtual holes of the soft soil layer, so as to obtain a virtual hole model of the soft soil layer.

[0052] Figure 2 FIG. 1 is a schematic diagram of a structure for establishing a virtual hole model of a soft soil layer according to an embodiment of the present application. Figure 2 As shown in the figure, hole 1#, hole 2# and hole 3# are the data of three soft soil layer entities with different geological structures. Among them, hole 1# is composed of strongly weathered layer, slightly weathered layer and non-weathered layer from top to bottom, hole 2# is composed of clay layer, sand layer and strongly weathered layer from top to bottom, and hole 3# is composed of sand layer, strongly weathered layer and slightly weathered layer from top to bottom. Extract from a single entity hole layer by layer. For example, when the construction object of the entity hole of the soft soil layer is strongly weathered geology, extract the strongly weathered geological layer of each entity hole respectively, and backfill the extracts from all single entity holes layer by layer, finally forming a virtual hole, and constructing a virtual hole model of the soft soil layer based on the virtual hole.

[0053] Step S202, determining key influencing factors of the rotary drilling rig when operating in the soft soil layer through big data analysis based on the soft soil layer virtual hole model.

[0054] As one of the implementation methods, the key influencing factors of the rotary drilling rig when operating in the soft soil layer are determined through big data analysis based on the soft soil layer virtual hole model, including:

[0055] The operation of rotary drilling rig in soft soil layer is simulated in the virtual hole model of soft soil layer;

[0056] The relationship between multiple influencing factors and the drilling efficiency of rotary drilling rigs in soft soil layers was analyzed to determine the key influencing factors.

[0057] As one implementation method, the influencing factors include equipment operating conditions and operating parameters. The equipment operating conditions include at least one of equipment type and system load. The operating parameters include at least one of pressurizing force, pressurizing time, engine gear, winch tension, winch floating tension, footage speed, and pressurizing speed.

[0058] In this embodiment, the operation of a rotary drilling rig in a soft soil layer is simulated in a virtual hole model of a soft soil layer, and the influence on the drilling efficiency is determined by adjusting the values ​​of different influencing factors, and then the influencing factors that have the greatest impact on the drilling efficiency, namely the key influencing factors, are analyzed. The embodiment of the present application uses big data to analyze operating parameters such as equipment operating conditions, system load, pressure, winch tension, footage speed, pressurization, and floating speed to find the root cause of the low drilling efficiency of large drilling rigs in soft soil layers, and implements improvement plans and conducts big data evaluation of drilling efficiency. In the process of root cause decomposition and effect evaluation, this digital technology has outstanding advantages in authenticity, rapidity, economy, high reusability, and factor quantification decoupling.

[0059] As one of the implementation methods, after determining the key influencing factors of the rotary drilling rig when operating in the soft soil layer through big data analysis based on the soft soil layer virtual hole model, it also includes:

[0060] Establish the functional relationship between key influencing factors and the drilling efficiency of rotary drilling rigs operating in soft soil.

[0061] In this embodiment, after obtaining the key influencing factor as the main winch floating tension through the soft soil virtual hole model test, different models of rotary drilling rigs are constructed based on big data under the same geological and working conditions, and the nonlinear functional relationship between the drilling efficiency V and the main winch floating tension T can be further analyzed.

[0062] Step S203, controlling the rotary drilling rig to drill into the soft soil layer according to the key influencing factors.

[0063] As one implementation method, the initial drilling efficiency of the rotary drilling rig when operating in a soft soil layer is obtained;

[0064] Obtain the real-time drilling efficiency of the rotary drilling rig when drilling into soft soil;

[0065] If the real-time drilling efficiency is less than the initial drilling efficiency, the value of the key influencing factor is determined according to the functional relationship between the key influencing factor and the drilling efficiency of the rotary drilling rig when operating in the soft soil layer;

[0066] The key influencing factors are adjusted according to their values ​​so that the real-time drilling efficiency is greater than or equal to the initial drilling efficiency.

[0067] As one implementation method, obtaining the initial drilling efficiency of the rotary drilling rig when operating in a soft soil layer includes:

[0068] Identify geological types and working conditions information;

[0069] If the geological type is soft soil, the initial drilling efficiency is obtained based on the working condition information. The drilling efficiency is the ratio of the footage to the footage time.

[0070] Figure 3 FIG. 1 is a schematic diagram of a specific flow chart of a method for controlling the drilling efficiency of a soft soil layer according to an embodiment of the present application. Figure 3 As shown, after determining the control algorithm of the key influencing factors and drilling efficiency based on the above steps, an algorithm control loop is designed to achieve real-time adjustment of the drilling efficiency of the rotary drilling rig. Specifically identify the current geological type and drilling efficiency under working conditions. Among them, the geological type is soft soil. Soft soil refers to a kind of soft plastic to fluid plastic clay with high natural water content, high compressibility and low bearing capacity, such as clay, sand, strong weathering geology, etc. The classification standard of the soft soil layer is: when one of the following conditions is met and the thickness is greater than 0.50m, it is determined as a soft soil layer.

[0071] 1) Standard value of bearing capacity fk<80kPa;

[0072] 2) Standard penetration hammer number N63.5≤2;

[0073] 3) Static penetration cone resistance qc<0.5MPa;

[0074] 4) Flow plastic state.

[0075] The working conditions include pile diameter, hole depth, pressurization force, pressurization time, engine gear, etc. It should be noted that the drilling efficiency of the embodiment of the present application specifically refers to the ratio of the footage of the rotary drilling rig to the footage time under soft soil conditions. Then, the value of the main winch floating tension is determined according to the drilling efficiency and the control algorithm. Exemplarily, the control algorithm expression is V=f(T), where V is the drilling efficiency, T is the main winch floating tension, and V is inversely proportional to T within a certain range of values. After determining the value of the main winch floating tension, the proportional current can be controlled by adjusting the proportional valve of the main winch, and then the flow rate at the AB port of the main winch motor can be adjusted. The larger the flow rate, the faster the floating speed of the main winch, and then the smaller the floating tension, and finally the drilling efficiency is improved.

[0076] The control method of the soft soil drilling efficiency of the present application is applied to a rotary drilling rig, and includes the following steps: establishing a virtual hole model of the soft soil layer; determining the key influencing factors of the rotary drilling rig when operating in the soft soil layer through big data analysis based on the virtual hole model of the soft soil layer; and regulating the drilling efficiency of the rotary drilling rig operating in the soft soil layer according to the key influencing factors. The present application analyzes the drilling efficiency of the rotary drilling rig in the soft soil layer through virtual modeling, which saves the test cost and effectively improves the drilling efficiency of the rotary drilling rig in the soft soil layer.

[0077] Figure 4 is a schematic diagram of the structure of an electronic device according to an embodiment of the present application. Figure 4 As shown, the present application also provides an electronic device, including a processor 310, a memory 320, and a computer program stored in the memory 320 and executable on the processor 310, and when the computer program is executed by the processor 310, the steps of the method for controlling the soft soil layer drilling efficiency as described in the above embodiment are implemented.

[0078] The present application also provides a computer storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the method for controlling the soft soil layer drilling efficiency as described in the above embodiment are implemented.

[0079] The above embodiments are merely illustrative of the principles and effects of the present application and are not intended to limit the present application. Anyone familiar with the technology may modify or change the above embodiments without violating the spirit and scope of the present application. Therefore, all equivalent modifications or changes made by a person of ordinary skill in the art without departing from the spirit and technical ideas disclosed in the present application shall still be covered by the claims of the present application.

Claims

1. A method for controlling drilling efficiency in soft soil, characterized in that: Applied to rotary drilling rig, including the following steps: Establish virtual hole model of soft soil layer; Determine the key influencing factors of the rotary drilling rig when operating in the soft soil layer through big data analysis based on the soft soil layer virtual hole model; Regulating the drilling efficiency of the rotary drilling rig operating in a soft soil layer according to the key influencing factors; The method of establishing a virtual hole model of a soft soil layer comprises: Using the construction object parameters of the physical hole in the soft soil layer as input conditions for generating the virtual hole in the soft soil layer, the construction object parameters of the physical hole in the soft soil layer including at least one of the geological type, the pile diameter and the hole depth; Finding multiple soft soil layer entity hole data with the same or partially the same parameters as the construction object; Extractions are extracted layer by layer from the physical holes of each soft soil layer one by one, and after the extracts from all the physical holes of a single soft soil layer are backfilled layer by layer one by one, a virtual hole of a soft soil layer is formed to obtain the virtual hole model of the soft soil layer.

2. The method for controlling the drilling efficiency of soft soil layer according to claim 1, characterized in that: The step of establishing a virtual hole model of a soft soil layer further includes: The construction object parameters of the physical hole in the soft soil layer and the construction operation parameters of the physical hole in the soft soil layer are used as input conditions for generating the virtual hole in the soft soil layer, wherein the construction object parameters of the physical hole in the soft soil layer include at least one of the geological type, the pile diameter and the hole depth, and the construction operation parameters of the physical hole in the soft soil layer include at least one of the gear position, the rotation speed, the pressure, the footage, the bucket type and the torque; Searching for solid hole data of a soft soil layer that is identical or partially identical to the construction object parameters and / or construction operation parameters; Extractions are extracted layer by layer from the physical holes of each soft soil layer one by one, and after the extracts from all the physical holes of a single soft soil layer are backfilled layer by layer one by one, a virtual hole of a soft soil layer is formed to obtain the virtual hole model of the soft soil layer.

3. The method for controlling the drilling efficiency of soft soil layer according to claim 1, characterized in that: The method of determining the key influencing factors of the rotary drilling rig when operating in the soft soil layer through big data analysis based on the soft soil layer virtual hole model includes: Simulating the rotary drilling rig operating in the soft soil layer in the soft soil layer virtual hole model; The relationship between a plurality of influencing factors and the drilling efficiency of the rotary drilling rig in the soft soil layer is analyzed to determine the key influencing factors.

4. The method for controlling the drilling efficiency of soft soil layer according to claim 3, characterized in that: The influencing factors include equipment operating conditions and operating parameters. The equipment operating conditions include at least one of equipment type and system load. The operating parameters include at least one of pressurization force, pressurization duration, engine gear, winch tension, winch floating tension, footage speed, and pressurization speed.

5. The method for controlling the drilling efficiency of soft soil layer according to claim 1, characterized in that: After determining the key influencing factors of the rotary drilling rig when operating in the soft soil layer through big data analysis based on the soft soil layer virtual hole model, the method further includes: A functional relationship between the key influencing factors and the drilling efficiency of the rotary drilling rig when operating in a soft soil layer is established.

6. The method for controlling the drilling efficiency of soft soil layer according to claim 5, characterized in that: The step of controlling the rotary drilling rig to drill into the soft soil layer according to the key influencing factors comprises: Obtaining the initial drilling efficiency of the rotary drilling rig when operating in a soft soil layer; Obtaining the real-time drilling efficiency of the rotary drilling rig during drilling into the soft soil layer; If the real-time drilling efficiency is less than the initial drilling efficiency, the value of the key influencing factor is determined according to a functional relationship between the key influencing factor and the drilling efficiency of the rotary drilling rig when operating in a soft soil layer; The key influencing factor is adjusted according to the value of the key influencing factor so that the real-time drilling efficiency is greater than or equal to the initial drilling efficiency.

7. The method for controlling the drilling efficiency of soft soil layer according to claim 6, characterized in that: The obtaining of the initial drilling efficiency of the rotary drilling rig when operating in a soft soil layer includes: Identify geological types and working conditions information; If the geological type is a soft soil layer, the initial drilling efficiency is obtained according to the working condition information, and the drilling efficiency is the ratio of the footage to the footage time.

8. An electronic device, characterized in that: The method comprises a processor, a memory and a computer program stored in the memory and capable of running on the processor, wherein when the computer program is executed by the processor, the steps of the method for controlling the soft soil layer drilling efficiency as described in any one of claims 1 to 7 are implemented.

9. A computer storage medium, characterized in that: The computer storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method for controlling the soft soil layer drilling efficiency according to any one of claims 1 to 7 are implemented.

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