Multi-parameter stratum judgment method and device

Abstract

According to the multi-parameter stratum judgment method and device, the stratum can be accurately judged in real time, the cost is low, and synchronous implementation can be achieved. The multi-parameter stratum judgment method comprises the following steps that drilling parameters are obtained; calculating an intermediate variable according to the drilling parameters; calculating to obtain a judgment variable according to the intermediate variable; and performing stratum judgment according to the judgment variable. When the equipment works, rock-soil characteristic values are obtained while drilling, and then stratum information is obtained, so that targeted construction is achieved, and the drilling efficiency is improved.

Description

Technical Field

[0001] The invention relates to the field of stratum research, and mainly provides a method and a device for determining stratum through multiple drilling parameters. Background Art

[0002] When drilling into the ground, rotary drilling rigs and double-wheel slot milling machines should carry out targeted drilling for different ground formations. However, the judgment of the ground formation mainly depends on the subjective consciousness of the operator, and the drilling efficiency of different operators varies greatly. The traditional means of accurately obtaining ground formation information is geotechnical testing. However, during the drilling process, this method has problems such as timeliness, difficulty in synchronous implementation, and cost constraints.

[0003] At present, special rock and soil coring drills are used to coring the drilled strata. The cores are taken to the laboratory for testing to obtain rock properties, uniaxial compressive strength, triaxial compressive strength, cracks and other information, which are used to determine the drillability of the rock formation and provide guidance on efficient construction parameters for the formation.

[0004] The existing technology can only rely on rock coring to obtain formation information, and its real-time performance is poor. With the development of intelligent equipment, the equipment is required to independently determine the drilling parameters. Therefore, judging the current construction conditions based on the drilling parameters has become a way. Summary of the invention

[0005] The purpose of the present invention is to overcome the deficiencies in the prior art and to provide a multi-parameter formation determination method and device, which can accurately determine the formation in real time, has low cost and can be implemented synchronously.

[0006] To achieve the above object, the present invention is implemented by adopting the following technical solutions:

[0007] In a first aspect, the present invention provides a multi-parameter formation identification method, comprising the following steps:

[0008] Get drilling parameters;

[0009] Calculate and obtain intermediate variables according to the drilling parameters;

[0010] According to the intermediate variables, a judgment variable is calculated;

[0011] According to the judgment variables, formation judgment is performed.

[0012] Furthermore, the drilling parameters include original drilling parameters, equipment preset parameters and operator setting parameters;

[0013] The original drilling parameters include the power head motor inlet pressure p1, the power head motor outlet pressure p2, the pressurized oil cylinder inlet pressure p3, the pressurized oil cylinder outlet pressure p4, the power head speed n, the drilling speed Vp, the main winch tension F1, the motor displacement Vg, and the drill pipe + drill bit weight G1;

[0014] The preset parameters of the equipment include the weight of the power head G2, the rodless cavity area of ​​the pressurized oil cylinder S1, and the rod cavity area S2;

[0015] The operator sets the parameters including the drill diameter d, the number of drill teeth n1, and the drill type parameters.

[0016] Further, the intermediate variables include ground pressure F, drilling torque T and invasion depth h;

[0017] The intermediate variables are calculated according to the drilling parameters, including:

[0018] The ground pressure F is obtained by calculating and processing the obtained drilling parameters, p3, p4, G1, G2, and F1, where F=G1+G2-F1+p3*S1-p4*S2;

[0019] The drilling torque T is obtained by calculating and processing the obtained drilling parameters p1, p2, and Vg, T = (p1-p2) Vg / 20 / 3.14;

[0020] Through the obtained drilling parameters Vp and n, the invasion depth h of the corresponding formation is obtained through calculation and processing, h = Vp / n;

[0021] Further, the judgment vector includes uniaxial compressive strength σ, shear strength τ and specific work e;

[0022] According to the intermediate variables, the judgment variables are calculated, including:

[0023] Based on the determined parameters of ground pressure F and invasion depth h, the uniaxial compressive strength σ is obtained according to the drilling invasion depth model;

[0024] Based on the determined parameters drilling torque T, ground pressure F, drill bit teeth number n1, drill bit diameter d, uniaxial compressive strength σ, and according to the drilling and cutting model, the judgment variable τ is obtained;

[0025] Based on the determined parameters drilling torque T, power head speed n, drill tool diameter d, motor displacement Vp, and ground pressure F, the judgment variable specific work e is obtained according to the energy consumption model.

[0026] Furthermore, based on the determined parameters of ground pressure F and invasion depth h, according to the drilling invasion depth model, the uniaxial compressive strength σ is obtained, including:

[0027] According to the rock drilling theory model: penetration depth h = f1(F, σ1, i1);

[0028] Where i1 is the first known coefficient, which is calculated from experimental data, specifically obtained by calculating the pick installation angle and the pick cone top angle; f1() is the penetration depth function, which is obtained from the drilling theory model, specifically trained based on experimental data fitting;

[0029] Based on the determined parameters of ground pressure F, invasion depth h and first known coefficient i1, the uniaxial compressive strength σ of the rock is calculated.

[0030] Furthermore, based on the determined parameters drilling torque T, ground pressure F, drill bit number n1, drill bit diameter d, and uniaxial compressive strength σ, according to the drilling and cutting model, the judgment variable τ is obtained, including:

[0031] According to the drilling cutting model T = f2 (F, τ, n1, d, i2, σ)

[0032] Among them, i2 is the second known coefficient, which is trained by experimental data of different formations; f2() is the drilling cutting function, which is trained by fitting experimental data;

[0033] Based on the determined parameters drilling torque T, ground pressure F, number of drill teeth n1, drill diameter d, uniaxial compressive strength σ and the first known coefficient i2, the shear strength τ of the rock is calculated.

[0034] Furthermore, based on the determined parameters of drilling torque T, power head speed n, drill diameter d, motor displacement Vp, and ground pressure F, according to the energy consumption model, the judgment variable specific work e is obtained, including:

[0035] According to the energy consumption model e=f3(T,n,d,Vp,F),

[0036] Among them, f3() is the energy consumption function, which is trained by fitting experimental data;

[0037] Based on the determined parameters drilling torque T, power head speed n, drill tool diameter d, motor displacement Vp, and ground pressure F, the specific work e is obtained.

[0038] Further, according to the judgment variable, formation judgment is performed, including:

[0039] The strata are defined into four categories: soft rock, medium-hard rock, hard rock, and hard rock, and the parameter threshold intervals of axial compressive strength σ, shear strength τ, and specific work e of the four strata are determined respectively;

[0040] The obtained uniaxial compressive strength σ, shear strength τ and specific work e are compared with the preset uniaxial compressive strength parameter threshold interval, shear strength parameter threshold interval and specific work parameter threshold interval, respectively, to obtain the formation determination types of the three parameters;

[0041] When three or two of the three parameters of the formation determination type are consistent, the current drilling formation is determined to be the drilling formation type.

[0042] Furthermore, the method for determining the parameter threshold intervals of the axial compressive strength σ, the shear strength τ and the specific work e of the four types of formations includes:

[0043] Multiple groups of experimental data are obtained through multiple experiments, wherein the experimental data include multiple groups of axial compressive strength σ, shear strength τ and specific work e and their corresponding formation types;

[0044] According to multiple groups of axial compressive strength σ, shear strength τ and specific work e and their corresponding formation types, parameter threshold intervals of axial compressive strength σ, shear strength τ and specific work e are determined respectively.

[0045] In a second aspect, the present invention provides a multi-parameter formation identification device, comprising:

[0046] Input module: used to obtain drilling parameters;

[0047] Intermediate variable module: used to calculate the intermediate variable according to the drilling parameters;

[0048] Judgment variable module: used to calculate the judgment variable according to the intermediate variable;

[0049] Output module: used to make formation judgment according to the judgment variables.

[0050] Furthermore, the multi-parameter formation identification device also includes:

[0051] The database is used to store the threshold interval of geotechnical characteristic values, geotechnical profiles, geotechnical properties, and recommended construction parameters with preset drillability levels for each type of geotechnical material.

[0052] The display and control unit is used to preset the rock and soil profile, rock and soil properties, and recommended construction parameters for each type of rock and soil with drillability levels. When the depth changes, the display and control unit synchronously displays the formation information and construction suggestions on the screen or directly controls the drilling parameters.

[0053] Compared with the prior art, the present invention has the following beneficial effects:

[0054] 1. The new scheme of using drilling parameters to determine the formation mentioned in this application is very different from the traditional scheme. The scheme mentioned in this patent mainly relies on the statistical laws of existing formation information and drilling data, and in turn uses the drilling output to infer the formation information. It does not require too high formation accuracy and is mainly used to guide the operator's construction and automatic drilling strategy.

[0055] 2. The method of using drilling parameters to determine the stratum of a drilling machine of the present invention enables the operator to have a deeper understanding of the stratum, guide the drilling construction, improve the drilling efficiency, and use the construction data of the used holes to guide the drilling of new holes. In addition, the soil profile can be generated during the drilling process, which can be verified with the engineering survey. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 It is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0057] The present invention will be further described below in conjunction with the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present invention, and cannot be used to limit the protection scope of the present invention.

[0058] Embodiment 1:

[0059] The present invention is applicable to drilling equipment, which is usually a rotary drilling machine and a double-wheel slot milling machine, and is equipped with a drilling tool, which has two characteristics: vertical feed and axial rotation. The axial rotation is used for axial cutting of the formation, and the main drilling variables are the rotation torque and the rotation speed. The vertical feed is used for vertical feed, and the main drilling variables are the vertical force and the drilling speed.

[0060] This embodiment provides a method for determining a formation of a drilling device, comprising the following steps:

[0061] Step 1: Obtain drilling parameters, including original drilling parameters, equipment preset parameters and operator setting parameters;

[0062] Step 1.1: Obtain the original drilling parameters through the sensor installed on the main machine. The original drilling parameters include: the inlet and outlet pressures p1 and p2 of the power head motor, the inlet and outlet pressures p3 and p4 of the pressurized oil cylinder, the power head speed n, the drilling speed Vp, the main winch tension F1, the motor displacement Vg, and the weight of the drill pipe + drill bit G1;

[0063] Step 1.2: Obtain the power head weight G2, the rodless cavity area S1 and the rod cavity area S2 of the pressurized oil cylinder through different equipment preset parameters;

[0064] Step 1.3: Obtain the drill diameter d, drill tooth number n1, and drill type parameters through operator input;

[0065] Step 2: Calculate and obtain intermediate variables F, T, and h;

[0066] Step 2.1 Obtain the ground pressure F through calculation based on the obtained drilling parameters, p3, p4, G1, G2, F1, F=G1+G2-F1+p3*S1-p4*S2. The formula can be omitted.

[0067] Step 2.2: The drilling torque T is obtained by calculating the obtained drilling parameters p1, p2, and Vg. T = (p1-p2)Vg / 20 / 3.14. The formula can be omitted.

[0068] Step 2.3: By calculating and processing the obtained drilling parameters Vp and n, the invasion depth h of the corresponding formation is obtained, h=Vp / n. The formula can be omitted.

[0069] Step 3: Obtain the rock's judgment variables: uniaxial compressive strength σ, shear strength τ, specific work e

[0070] Step 3.1 obtains the judgment variable σ according to the drilling depth model. The drilling depth model is obtained by drilling theory and actual parameter learning.

[0071] According to the theoretical model of rock drilling known in the industry, the penetration depth h = f (F, σ1, i1) is equal to h obtained in step 2.3 of step 2. Where i1 is a known coefficient, and the uniaxial compressive strength σ of the rock is calculated.

[0072] Step 3.2 obtains the judgment variable τ according to the drilling cutting model, and the cutting model is obtained by drilling training based on drilling theory and actual parameters.

[0073] According to the drilling and cutting model T = f(F, τ, n1, d, i2, σ) equal to T obtained in step 2.2, where i2 is a known coefficient obtained from training on different formations, the shear strength τ of the rock is calculated.

[0074] Step 3.3 obtains the judgment variable specific work e according to the energy consumption model.

[0075] The judgment variable e is the energy consumption of the current drilling formation, e = f (T, n, d, Vp, F). This parameter is obtained by drilling data of different formations. A large amount of drilling data is learned to obtain a database of e threshold intervals for different formations.

[0076] Step 4: Define the strata into four categories: soft rock, medium-hard rock, hard rock, and hard rock, and define the three parameter threshold intervals of σ, τ, and e for the four categories of strata respectively;

[0077] Step 5: Obtain the type of the current drilling formation based on the judgment variables σ, τ, and e. The three parameters can independently judge the formation in which the current drilling is located. The three parameters judge the current formation respectively. When the three items are consistent or two of the judgments are consistent, the current drilling formation is determined to be the drilling formation type. If the three judgments are inconsistent, an error alarm is issued.

[0078] The drilling variables are usually parameters such as drilling tool torque, motor pressure, rotation speed, vertical force, drilling speed, vibration, drilling power consumption, power, etc., including but not limited to the drilling variables themselves and the fluctuation amplitude and fluctuation frequency of the drilling variables;

[0079] The multiple drilling variables are filtered one by one according to the priority level or contribution coefficient independently or coupled together. Filtering means prioritizing many drilling variables and analyzing them step by step until the characteristics closest to the formation are found. The contribution coefficient is to give importance coefficients to different drilling variables, and finally obtain the geotechnical characteristic value through multi-parameter fitting;

[0080] The geotechnical characteristic value is the final judgment parameter. The geotechnical characteristic value has a database. The database is established by continuous coupling learning of drilling parameters and formation information. There are threshold intervals for various formations. When the geotechnical characteristic value falls within a certain formation threshold range, the corresponding formation is judged as the target formation and displayed on the display and control unit.

[0081] Embodiment 2:

[0082] This embodiment provides a multi-parameter formation identification device, including:

[0083] Input module: used to obtain drilling parameters;

[0084] Intermediate variable module: used to calculate the intermediate variable according to the drilling parameters;

[0085] Judgment variable module: used to calculate the judgment variable according to the intermediate variable;

[0086] Output module: used to make formation judgment according to the judgment variables.

[0087] The display and control unit presets the drillability level of the rock and soil profile, rock and soil properties, and recommended construction parameters for each type of rock and soil. When the depth changes, the display and control unit synchronously displays the formation information and construction suggestions on the screen or directly controls the drilling parameters.

[0088] The database, display and control unit have storage functions, and rely on the Internet of Things to update the database, rely on big data analysis of a large amount of operator construction data to extract efficient drilling variables, and intermittently upgrade the display and control unit;

[0089] The storage unit relies on IoT positioning to obtain the drilling location information and store the drilling location and drilling parameters. When encountering nearby drilling holes, it can extract the drilling variables of the surrounding holes to guide the construction of adjacent drilling holes.

[0090] The overall multi-parameter formation identification device, database and display control unit can assist the operator in completing the construction formation analysis and improving the drilling speed by analyzing the drilling parameters and obtaining the rock and soil profile;

[0091] The device is suitable for rotary drilling rigs and double-wheel slot milling machines.

[0092] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0093] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0094] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0095] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1A step that specifies a function in one or more boxes.

[0096] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A multi-parameter formation identification method, characterized in that: The following steps are involved: Get drilling parameters; Calculate and obtain intermediate variables according to the drilling parameters; According to the intermediate variables, a judgment variable is calculated; Performing formation judgment according to the judgment variables; The drilling parameters include original drilling parameters, equipment preset parameters and operator setting parameters; The original drilling parameters include the power head motor inlet pressure p1, the power head motor outlet pressure p2, the pressurized oil cylinder inlet pressure p3, the pressurized oil cylinder outlet pressure p4, the power head speed n, the drilling speed Vp, the main winch tension F1, the motor displacement Vg, and the drill pipe + drill bit weight G1; The preset parameters of the equipment include the weight of the power head G2, the rodless cavity area of ​​the pressurized oil cylinder S1, and the rod cavity area S2; The operator sets the parameters including the drill diameter d, the number of drill teeth n1, and the drill type parameters.

2. The multi-parameter formation identification method according to claim 1, characterized in that: The intermediate variables include ground pressure F, drilling torque T and invasion depth h; The intermediate variables are calculated according to the drilling parameters, including: The ground pressure F is obtained by calculating and processing the obtained drilling parameters, p3, p4, G1, G2, and F1, where F=G1+G2-F1+p3*S1-p4*S2; The drilling torque T is obtained by calculating the obtained drilling parameters p1, p2, and Vg, T = (p1-p2) Vg / 20 / 3.14; The invasion depth h of the corresponding formation is obtained by calculating and processing the obtained drilling parameters Vp and n, where h=Vp / n.

3. The multi-parameter formation identification method according to claim 2, characterized in that: The judgment vector includes uniaxial compressive strength σ, shear strength τ and specific work e; According to the intermediate variables, the judgment variables are calculated, including: Based on the determined parameters of ground pressure F and invasion depth h, the uniaxial compressive strength σ is obtained according to the drilling depth model; Based on the determined parameters drilling torque T, ground pressure F, drill bit teeth number n1, drill bit diameter d, uniaxial compressive strength σ, and according to the drilling and cutting model, the judgment variable τ is obtained; Based on the determined parameters drilling torque T, power head speed n, drill tool diameter d, motor displacement Vp, and ground pressure F, the judgment variable specific work e is obtained according to the energy consumption model.

4. The multi-parameter formation identification method according to claim 3, characterized in that: Based on the determined parameters of ground pressure F and invasion depth h, the uniaxial compressive strength σ is obtained according to the drilling depth model, including: According to the rock drilling theory model: penetration depth h = f1(F, σ, i1); Where i1 is the first known coefficient, which is obtained by calculating the pick installation angle and the pick cone apex angle; f1() is the penetration depth function, which is obtained by the drilling theory model; Based on the determined parameters of ground pressure F, invasion depth h and the first known coefficient i1, the following equation is solved to calculate the uniaxial compressive strength σ of the rock. h=Vp / n=f1(F、σ、i1) 5. The multi-parameter formation identification method according to claim 4, characterized in that: Based on the determined parameters drilling torque T, ground pressure F, drill bit number n1, drill bit diameter d, uniaxial compressive strength σ, and according to the drilling and cutting model, the judgment variable τ is obtained, including: According to the drilling cutting model T = f2 (F, τ, n1, d, i2, σ) Among them, i2 is the second known coefficient, which is trained by experimental data of different formations; f2() is the drilling cutting function, which is trained by fitting experimental data; Based on the determined parameters drilling torque T, ground pressure F, number of drill teeth n1, drill diameter d, uniaxial compressive strength σ and the first known coefficient i2, the shear strength τ of the rock is calculated.

6. The multi-parameter formation identification method according to claim 4, characterized in that: Based on the determined parameters drilling torque T, power head speed n, drill diameter d, motor displacement Vp, ground pressure F, and energy consumption model, the judgment variable specific work e is obtained, including: According to the energy consumption model e=f3(T,n,d,Vp,F), Among them, f3() is the energy consumption function, which is trained by fitting experimental data; Based on the determined parameters drilling torque T, power head speed n, drill tool diameter d, motor displacement Vp, and ground pressure F, the specific work e is obtained.

7. The multi-parameter formation identification method according to claim 3, characterized in that: According to the judgment variables, formation judgment is performed, including: The strata are defined into four categories: soft rock, medium-hard rock, hard rock, and hard rock, and the parameter threshold intervals of axial compressive strength σ, shear strength τ, and specific work e of the four strata are determined respectively; The obtained uniaxial compressive strength σ, shear strength τ and specific work e are compared with the preset uniaxial compressive strength parameter threshold interval, shear strength parameter threshold interval and specific work parameter threshold interval respectively, and the formation determination types of the three parameters are obtained respectively; When three or two of the three parameters of the formation determination type are consistent, the current drilling formation is determined to be the drilling formation type.

8. The multi-parameter formation identification method according to claim 7, characterized in that: The method for determining the parameter threshold intervals of the axial compressive strength σ, shear strength τ and specific work e of the four types of formations includes: Multiple groups of experimental data are obtained through multiple experiments, wherein the experimental data include multiple groups of axial compressive strength σ, shear strength τ and specific work e and their corresponding formation types; According to multiple groups of axial compressive strength σ, shear strength τ and specific work e and their corresponding formation types, parameter threshold intervals of axial compressive strength σ, shear strength τ and specific work e are determined respectively.

9. A multi-parameter formation identification device, characterized in that: include: Input module: used to obtain drilling parameters; Intermediate variable module: used to calculate the intermediate variable according to the drilling parameters; Judgment variable module: used to calculate the judgment variable according to the intermediate variable; Output module: used to make formation judgment according to the judgment variables.

10. The multi-parameter formation identification device according to claim 9, characterized in that: The multi-parameter formation identification device also includes: The database is used to store the threshold interval of geotechnical characteristic values, geotechnical profiles, geotechnical properties, and recommended construction parameters with preset drillability levels for each type of geotechnical material. The display and control unit is used to preset the rock and soil profile, rock and soil properties, and recommended construction parameters of the drillability level for each type of rock and soil. When the depth changes, the display and control unit synchronously displays the formation information and recommended construction parameters on the screen or directly controls the drilling parameters.

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