CN113469447B - Drill bit model selection method - Google Patents

Abstract

The invention provides a drill bit model selection method, which comprises the following steps: determining a plurality of drill bits to be selected, and constructing an evaluation analysis model; carrying out simulation experiments on the basis of a plurality of drill bits to be selected to obtain simulation parameter data; performing an indoor experiment based on a plurality of drill bits to be selected to obtain indoor parameter data; determining simulation model selection parameters based on the evaluation analysis model and the simulation parameter data; determining indoor model selection parameters based on the evaluation analysis model and the indoor parameter data; and determining a target drill bit in the plurality of drill bits to be selected based on the simulation model selection parameters and the indoor model selection parameters. The type and the model of the drill bit can be determined before actual drilling operation through the drill bit type selection method, so that the time for selecting the type of the drill bit can be shortened, and the cost for selecting the type of the drill bit is reduced.

Description

Drill bit selection method

technical field

The invention relates to the field of drilling, in particular to a method for selecting a drill bit.

Background technique

As my country's second largest source of energy, petroleum continues to grow in its proportion in the energy consumption structure. Based on strong demand, China's dependence on foreign crude oil exceeded 70% in 2018, the highest in nearly fifty years. In terms of natural gas, driven by domestic policies such as coal-to-gas conversion, natural gas consumption has increased by as much as 18%. In addition, China surpassed Japan last year to become the world's largest importer of natural gas. However, energy reservoirs such as oil and natural gas are located in different geographical locations, and the geological conditions are also different, and there are many types of drill bits. When carrying out drilling and mining operations in each new area, if the method of first trial and then evaluation and then improvement is adopted, it is extremely time-consuming and greatly increases the mining cost.

Contents of the invention

The present invention aims to solve at least one of the technical problems existing in the prior art or related art.

In view of this, the embodiment of the present application proposes a drill bit selection method, the drill bit selection method includes:

Determine multiple drill bits to be selected;

Carrying out simulation experiments based on a plurality of drill bits to be selected to obtain simulation parameter data;

Carrying out indoor experiments based on a plurality of drill bits to be selected to obtain indoor parameter data;

Build an evaluation analysis model;

Based on the evaluation analysis model and the simulation parameter data, determine simulation selection parameters;

determining indoor type selection parameters based on the evaluation analysis model and the indoor parameter data;

Based on the simulation selection parameters and the indoor selection parameters, a target drill bit is determined among the plurality of drill bits to be selected.

In a feasible implementation manner, the simulation experiment is carried out based on a plurality of drill bits to be selected, and the step of obtaining simulation parameter data includes:

Based on multiple described drill bits to be selected, construct multiple simulation drill bit models to be selected;

Simulation experiments are carried out based on multiple simulated drill bit models to be selected and rock-breaking simulation models to obtain simulation parameter data.

In a feasible implementation manner, the simulation experiment is carried out based on multiple simulated drill bit models to be selected and the rock-breaking simulation model, and the step of obtaining simulation parameter data includes:

Setting the first experimental parameter and the second experimental parameter;

Based on a plurality of simulated drill bit models to be selected and rock-breaking simulation models, a simulation experiment is performed through a first experimental parameter to obtain data of the first simulated parameter;

Based on a plurality of simulated drill bit models to be selected and rock-breaking simulation models, a simulation experiment is performed with second experimental parameters to obtain second simulation parameter data.

In a feasible implementation manner, the step of determining simulation selection parameters based on the evaluation analysis model and the simulation parameter data includes:

determining the weight value of each data in the simulation parameter data based on the evaluation analysis model;

determining a first simulation selection parameter based on the weight value of each data in the simulation parameter data and the first simulation parameter data;

Based on the weight value of each data in the simulation parameter data and the second simulation parameter data, a second simulation selection parameter is determined.

In a feasible implementation manner, the indoor experiment is carried out based on a plurality of drill bits to be selected, and the step of obtaining indoor parameter data includes:

Based on the plurality of drill bits to be selected, an indoor experiment is carried out through the first experimental parameter, and the first indoor parameter data is obtained;

An indoor experiment is performed based on the plurality of drill bits to be selected through the second experimental parameters, and the second indoor parameter data is obtained.

In a feasible implementation manner, the step of determining indoor type selection parameters based on the evaluation analysis model and the indoor parameter data includes:

determining the weight value of each data in the indoor parameter data based on the evaluation analysis model;

determining a first indoor type selection parameter based on the weight value of each data in the indoor parameter data and the first indoor parameter data;

Based on the weight value of each data in the indoor parameter data and the second indoor parameter data, a second indoor type selection parameter is determined.

In a feasible implementation manner, the step of constructing an evaluation analysis model includes:

Through the analytic hierarchy process, the selection parameters are used as the target layer, and the drilling pressure, ROP, cutting amount and radial load are used as the index layer to construct the evaluation analysis model;

The evaluation analysis model is used to determine the weight of each data in the simulation parameter data;

The evaluation analysis model is used to determine the weight of each data in the indoor parameter data.

In a feasible implementation manner, the step of constructing the evaluation analysis model by using the analytic hierarchy process, using the selection parameters as the target layer, and using the weight on bit, the ROP, the cutting amount and the radial load as the index layer include:

Determine the comparative quantitative value among the weight on bit, the ROP, the cutting amount and the radial load, and construct a judgment matrix between the target layer and the index layer:

Performing normalization processing on the judgment matrix to obtain the evaluation analysis model.

In a feasible implementation manner, the step of determining a target drill among multiple drills to be selected based on the simulation selection parameters and the indoor selection parameters includes:

Perform performance ranking for multiple drill bits to be selected based on the first simulation selection parameters, and obtain a first sequence;

Perform performance ranking for multiple drill bits to be selected based on the second simulation selection parameters, and obtain a second sequence;

Based on the first indoor type selection parameter, perform performance ranking for a plurality of the drill bits to be selected, and obtain a third sequence;

Perform performance ranking for a plurality of drill bits to be selected based on the second indoor selection parameters, and obtain a fourth sequence;

In the case that the first sequence, the second sequence, the third sequence and the fourth sequence are the same, based on the first simulation selection parameter, the second simulation selection parameter, the The maximum value of the first indoor selection parameter and the second indoor selection parameter determines the target drill bit.

In a feasible implementation manner, the step of determining the target drill bit among the plurality of drill bits to be selected based on the simulation selection parameters and the indoor selection parameters further includes:

When the first sequence, the second sequence, the third sequence, and the fourth sequence are not the same, adjusting the comparison quantization value to obtain a replacement comparison quantization value;

Constructing a correction evaluation analysis model based on the quantitative value of the replacement comparison;

Based on the calibration evaluation analysis model, the simulation parameter data and the indoor parameter data, a target drill bit is determined among the plurality of candidate drill bits.

Compared with the prior art, the present invention at least includes the following beneficial effects:

The drill bit selection method provided in the embodiment of the present application performs simulation experiments and indoor experiments on multiple drill bits to be selected, and then can obtain simulation parameter data and indoor parameter data, and then determine the simulation selection parameters based on the simulation parameter data. The parameter data determines the indoor selection parameters; the reliability of the analysis model can be verified and evaluated by sorting and comparing the simulation selection parameters and the indoor selection parameters; The most suitable drill bit can be selected from two angles in the indoor bench test, and the type and model of the drill bit can be determined before the actual drilling operation, which can shorten the time and cost of drill bit selection.

Description of drawings

The above and/or additional aspects and advantages of the present invention will become apparent and comprehensible from the description of the embodiments in conjunction with the following drawings, wherein:

Fig. 1 is a schematic flowchart of a method for selecting a drill bit according to an embodiment of the present application.

Detailed ways

In order to understand the above-mentioned purpose, features and advantages of the present invention more clearly, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that, in the case of no conflict, the embodiments of the present application and the features in the embodiments can be combined with each other.

In the following description, many specific details are set forth in order to fully understand the present invention. However, the present invention can also be implemented in other ways different from those described here. Therefore, the protection scope of the present invention is not limited by the specific details disclosed below. EXAMPLE LIMITATIONS.

As shown in Figure 1, the embodiment of the present application proposes a drill bit selection method, the drill bit selection method includes:

Step 101: Determine multiple drill bits to be selected. In order to improve the accuracy and applicability of drill bit selection, multiple drill bits to be selected can be different models and different types of drill bits, depending on the type of drill bits to be selected, for example, the drill bits can be PDC-cone hybrid drills, PDC drills and roller cones Drill etc.

Step 102: Perform a simulation experiment based on multiple drill bits to be selected, and obtain simulation parameter data. After determining multiple drill bits to be selected, the simulation experiment can be carried out based on multiple drill bits to be selected, and the finite element simulation analysis can be performed on multiple drill bits to be selected from the perspective of simulation experiments, and the simulation parameter data of each drill bit to be selected can be determined .

Step 103: Conduct indoor experiments based on multiple drill bits to be selected to obtain indoor parameter data. After determining a number of drill bits to be selected, indoor bench experiments are carried out based on the drill bits to be selected, and the indoor parameter data of each drill bit to be selected is determined from the perspective of actual work.

Step 104: Build an evaluation analysis model. The evaluation analysis model is used to determine the weight value of each data in the simulation parameter data and indoor parameter data. The influencing factors of type parameters are convenient for determining the target drill bit among multiple drill bits to be selected.

Step 105: Determine simulation selection parameters based on the evaluation analysis model and simulation parameter data. The simulation parameter data can be analyzed through the evaluation analysis model to determine the simulation selection parameters, and the simulation selection parameters are to screen multiple drill bits to be selected from the perspective of experimental simulation.

Step 106: Determine indoor model selection parameters based on the evaluation analysis model and indoor parameter data. The indoor parameter data can be analyzed through the evaluation analysis model to determine the indoor type selection parameters, and the indoor type selection parameters are to screen multiple drill bits to be selected from the perspective of actual production.

Step 107: Based on the simulation selection parameters and indoor selection parameters, determine the target drill bit among multiple drill bits to be selected. Based on the simulation selection parameters and indoor selection parameters, the target drill bit is determined among the multiple drill bits to be selected, and the most suitable drill bit is selected as the target drill bit among the multiple drill bits to be selected through the two parameters, which can improve the accuracy of the target drill bit determination. This determination method takes into account that in the actual operation process, when the simulation experiment and indoor experiment are carried out through the same operating parameters, the difference between the simulation and indoor selection parameters of the same drill bit should be within a reasonable range, so if The drill bit simulation selection parameters and indoor selection parameters both point to the same candidate drill bit, which means that the candidate drill bit can be used as the target drill bit; if the drill bit simulation selection parameters and indoor selection parameters point to different candidate drill bits , it means that the construction of the evaluation analysis model may be inaccurate. At this time, the evaluation analysis model should be rebuilt to improve the accuracy of selection.

The drill bit selection method provided in the embodiment of the present application performs simulation experiments and indoor experiments on multiple drill bits to be selected, and then can obtain simulation parameter data and indoor parameter data, and then determine the simulation selection parameters based on the simulation parameter data. The parameter data determines the indoor selection parameters; the target drill bit can be determined through the simulation selection parameters and the indoor selection parameters, and the most suitable drill bit can be selected from the two angles of the simulation experiment and the indoor bench test, and the drill bit can be adjusted before the actual drilling operation. Determine the type and model of the drill bit, which can shorten the time and cost of drill bit selection.

In some examples, the simulation experiment is carried out based on a plurality of drill bits to be selected, and the step of obtaining simulation parameter data includes: constructing a plurality of drill bit models for simulation based on the drill bits to be selected; The simulation model is used to conduct simulation experiments and obtain simulation parameter data.

In the process of conducting simulation experiments based on multiple drill bits to be selected, it is necessary to carry out simulation processing based on the model and type of the drill bit to be selected to obtain the model of the drill bit to be simulated, and further conduct the simulation based on the model of the drill bit to be selected and the rock-breaking simulation model. The simulation experiment can guarantee the accuracy of the obtained simulation parameters.

In some examples, the simulation experiment is carried out based on multiple simulated drill bit models to be selected and the rock-breaking simulation model, and the step of obtaining simulation parameter data includes: setting first experimental parameters and second experimental parameters; and the rock-breaking simulation model, the simulation experiment is carried out through the first experimental parameters, and the first simulation parameter data is obtained; based on multiple simulated drill bit models to be selected and the rock-breaking simulation model, the simulation experiment is carried out through the second experimental parameters, and the second simulation parameters are obtained data.

Set the first experimental parameters and the second experimental parameters, set two sets of experimental parameters, and conduct simulation experiments based on the two sets of experimental parameters to obtain two sets of simulation parameter data, namely the first simulation parameter data and the second simulation parameter data .

In some examples, based on the evaluation analysis model and the simulation parameter data, the step of determining the simulation selection parameters includes: determining the weight value of each data in the simulation parameter data based on the evaluation analysis model; based on the weight value of each data in the simulation parameter data and the first simulation parameter data to determine the first simulation selection parameter; based on the weight value of each data in the simulation parameter data and the second simulation parameter data, determine the second simulation selection parameter.

After obtaining the first simulation parameter data and the second simulation parameter data, the first simulation parameter data and the second simulation parameter data can be analyzed through the evaluation analysis model, and the first simulation selection parameter and the second simulation parameter data can be obtained. For selection parameters, the two selection parameters obtained based on simulation experiments can be checked against each other, further ensuring the accuracy of the target drill bit determination.

In some examples, the indoor experiment is performed based on a plurality of drill bits to be selected, and the step of obtaining indoor parameter data includes: performing an indoor experiment based on a plurality of drill bits to be selected through first experimental parameters to obtain first indoor parameter data; The drill bit conducts indoor experiments through the second experimental parameters to obtain second indoor parameter data.

Based on the first experimental parameters and the second experimental parameters set during the simulation experiment, indoor bench experiments are carried out on multiple drill bits to be selected, so that the experimental parameters of the indoor bench experiments and the simulation experiments are consistent, avoiding differences in experimental parameters As a result, the determination of the target drill bit is inaccurate.

By performing the bench experiment with the first experimental parameter and the second experimental parameter, two sets of indoor bench experiment data can be obtained, that is, the first indoor parameter data and the second indoor parameter data.

In some examples, based on the evaluation analysis model and the indoor parameter data, the step of determining the indoor type selection parameters includes: determining the weight value of each data in the indoor parameter data based on the evaluation analysis model; based on the weight value of each data in the indoor parameter data and the first indoor parameter data to determine the first indoor type selection parameter; based on the weight value of each data in the indoor parameter data and the second indoor parameter data, determine the second indoor type selection parameter.

After obtaining the first indoor parameter data and the second indoor parameter data, the first indoor parameter data and the second indoor parameter data can be analyzed through the evaluation analysis model, and the first indoor model selection parameters and the second indoor parameter data can be obtained. For the selection parameters, the two selection parameters obtained based on the indoor bench test can be mutually checked, which further ensures the accuracy of the target drill bit determination.

In some examples, the simulation parameter data includes: at least one of weight on bit, ROP, cutting amount and radial load; the indoor parameter data includes: at least one of bit pressure, ROP, cutting amount and radial load one.

Simulation parameter data includes: at least one of drilling pressure, ROP, cutting amount and radial load; indoor parameter data includes: at least one of drilling pressure, ROP, cutting amount and radial load, providing The data types selected in the simulation experiment and indoor bench test can better characterize the working state of the drill bit through the determination of the weight on bit, ROP, cutting amount and radial load, and facilitate the determination of a suitable target drill bit.

It can be understood that the simulation parameter data may also include other data, such as vibration parameters, eccentric angle, and torque, and the indoor parameter data may also include other data, such as vibration parameters, eccentric angle, and torque.

In some examples, the steps of constructing the evaluation analysis model include: using the analytic hierarchy process, taking the selection parameters as the target layer, and using the weight on bit, the ROP, the cutting amount and the radial load as the index layer, to construct the evaluation analysis model; The analysis model is used to determine the weight of each data in the simulation parameter data; the evaluation analysis model is used to determine the weight of each data in the indoor parameter data.

Through the analytic hierarchy process, the selection parameters are taken as the target layer, and the weight on bit, ROP, cutting amount and radial load are taken as the index layer to construct an evaluation analysis model. The evaluation analysis model can be used to determine the weight of each data in the simulation parameter data and indoor parameter data, and further based on the weight of each data, the first simulation selection parameter, the second simulation selection parameter, the first indoor selection parameter Selection parameters and second indoor selection parameters. Further based on the first simulation selection parameter, the second simulation selection parameter, the first indoor selection parameter and the second indoor selection parameter of each drill bit to be selected, the first simulation selection parameter and the second simulation selection parameter are selected , The drill bit to be selected corresponding to the maximum value among the first indoor selection parameter and the second indoor selection parameter is used as the target drill bit to complete the selection of the drill bit.

In some examples, the selection parameters are used as the target layer by the analytic hierarchy process, and the weight on bit, ROP, cutting amount and radial load are used as the index layer. The steps of constructing the evaluation analysis model include: determining the weight on bit, mechanical drilling The comparative quantification value among the speed, cutting amount and radial load is used to construct the judgment matrix of the target layer and the index layer: the judgment matrix is normalized to obtain the evaluation analysis model.

Constructing a model by constructing a matrix facilitates the determination of the evaluation analysis model, and facilitates the determination of the weight of each data in the simulation parameter data and the indoor parameter data through the evaluation analysis model.

For example: it is possible to determine the comparative quantitative values of WOB, ROP, cutting amount and radial load, and construct the judgment matrix M _p of the target layer and the index layer:

Normalize the judgment matrix M _p to obtain the evaluation analysis matrix M _g ;

The weight of each data in the simulation parameter data and the weight of each data in the indoor parameter data can be determined based on the evaluation analysis matrix _Mg .

In some examples, the drill bit selection method also includes normalizing the dimensionless processing of the simulation parameter data and the indoor parameter data by the following formula:

为所有仿真参数数据的平均值或所有室内参数数据的平均值；σ为仿真参数数据标准差或室内参数数据标准差；x_i′为标准化无量纲处理后的数据。Wherein, both the simulation parameter data and the indoor parameter data include n data; i=1, 2, ..., n, x _i is the i-th data;

is the average value of all simulation parameter data or the average value of all indoor parameter data; σ is the standard deviation of simulation parameter data or indoor parameter data; x _i ′ is the standardized dimensionless processed data.

Further based on the evaluation analysis matrix Mg, it is determined that the weight value of the drill bit's WOB is 0.1176; the weight of the ROP is 0.5175; the weight of the cut rock volume is 0.0611; the weight of the radial load is 0.3038.

Furthermore, the simulation model selection parameters or indoor model selection parameters can be calculated by the following formula:

K _i ＝0.1176WOB _i ′+0.5175ROP _i ′+0.0611V _i ′+0.3038F _i ′

为不同时刻钻压、机械钻速、切削量、径向载荷结合权重得到的指数平均值，该指数平均值基于带入数据的不同，即可作为仿真选型参数或室内选型参数。Among them, WOB _i ′ is the weight-on-bit of the drill bit after normalized dimensionless treatment; ROP _i ′ is the ROP after normalized dimensionless treatment; V _i ′ is the cut rock volume after normalized dimensionless treatment; F _i ′ is the normalized dimensionless Radial load after processing; K _i is the index obtained by combining weight on WOB, ROP, cutting amount and radial load at different times;

It is the index average value obtained by combining the weight on WOB, ROP, cutting amount, and radial load at different times. The index average value can be used as a simulation selection parameter or an indoor selection parameter based on the difference in the data brought in.

In some examples, based on the simulation selection parameter and the indoor selection parameter, among the plurality of candidate drill bits, the step of determining the target drill bit includes: sorting the performance of the plurality of candidate drill bits based on the first simulation selection parameter, and obtaining the second A sequence; based on the second simulation selection parameter, sort the performance of multiple drill bits to be selected, and obtain the second sequence; based on the first indoor selection parameter, perform performance sorting on the multiple drill bits to be selected, and obtain the third sequence; based on the second The indoor type selection parameters sort the performance of multiple drill bits to be selected to obtain the fourth sequence; when the first sequence, the second sequence, the third sequence and the fourth sequence are the same, based on the first simulation selection parameters, the second The maximum value among the simulation selection parameter, the first indoor selection parameter and the second indoor selection parameter determines the target drill bit.

In some examples, based on the simulation selection parameters and the indoor selection parameters, among the plurality of drill bits to be selected, the step of determining the target drill bit further includes: in the first sequence, the second sequence, the third sequence and the fourth sequence In the case of , adjust the comparative quantitative value to obtain the replacement comparative quantitative value; build a correction evaluation analysis model based on the replacement comparative quantitative value; based on the correction evaluation analysis model, simulation parameter data and indoor parameter data, determine among multiple drill bits to be selected target drill.

Based on the simulation selection parameters and indoor selection parameters, multiple drill bits are sorted separately, and the size is sorted through the simulation selection parameters of multiple drill bits under the same simulation parameter data, and the indoor selection parameters of multiple drill bits under the same indoor parameter data are sorted. Sort by size. If the sorting of the drill bit simulation selection parameters is different from that of the indoor selection parameters, it means that there is an error in the comparative quantitative values among the bit pressure, ROP, cutting amount and radial load in the evaluation analysis model, and it is necessary to adjust the comparative quantitative values for the evaluation The model is modified, and the evaluation analysis model is rebuilt, and the new evaluation analysis model is used as the calibration evaluation analysis model, and the re-selection is carried out based on the calibration evaluation analysis model; It shows that the evaluation analysis model is accurate, and the candidate drill bit determined according to the selection parameters of the drill bit simulation and the selection parameters of the drill room can be used as the target drill bit.

In the description of the present invention, the term "plurality" refers to two or more than two. Unless otherwise clearly defined, the orientation or positional relationship indicated by the terms "upper", "lower" and so on is based on the orientation shown in the accompanying drawings. Orientation or positional relationship is only for the convenience of describing the present invention and simplifying the description, but does not indicate or imply that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be construed as limiting the present invention; The terms "connection", "installation" and "fixation" should be understood in a broad sense, for example, "connection" can be a fixed connection, a detachable connection, or an integral connection; it can be directly connected or through an intermediate The medium is indirectly connected. Those of ordinary skill in the art can understand the specific meanings of the above terms in the present invention according to specific situations.

In the description of the present invention, descriptions of the terms "one embodiment", "some embodiments", "specific embodiments" and the like mean that a specific feature, structure, material or characteristic described in connection with the embodiment or example is included in the present invention In at least one embodiment or example of . In the present invention, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

The above descriptions are only preferred embodiments of the present invention, and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and changes. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included within the protection scope of the present invention.

Claims (2)

1. A drill bit selection method is characterized in that, comprising: Determine multiple drill bits to be selected; Carrying out simulation experiments based on a plurality of drill bits to be selected to obtain simulation parameter data; Carrying out indoor experiments based on a plurality of drill bits to be selected to obtain indoor parameter data; Build an evaluation analysis model; Based on the evaluation analysis model and the simulation parameter data, determine simulation selection parameters; determining indoor type selection parameters based on the evaluation analysis model and the indoor parameter data; Based on the simulation selection parameters and the indoor selection parameters, determine a target drill bit among the plurality of drill bits to be selected; Wherein, the described simulation experiment is carried out based on a plurality of the drill bits to be selected, and the step of obtaining simulation parameter data includes: Based on multiple described drill bits to be selected, construct multiple simulation drill bit models to be selected; Conduct simulation experiments based on multiple simulated drill bit models to be selected and rock-breaking simulation models to obtain simulation parameter data; Wherein, the simulation experiment is carried out based on multiple simulation drill bit models to be selected and the rock-breaking simulation model, and the step of obtaining simulation parameter data includes: Setting the first experimental parameter and the second experimental parameter; Based on a plurality of simulated drill bit models to be selected and rock-breaking simulation models, a simulation experiment is performed through a first experimental parameter to obtain data of the first simulated parameter; Based on a plurality of simulated drill bit models to be selected and rock-breaking simulation models, a simulation experiment is performed through second experimental parameters to obtain second simulation parameter data; Wherein, the step of determining the simulation selection parameters based on the evaluation analysis model and the simulation parameter data includes: determining the weight value of each data in the simulation parameter data based on the evaluation analysis model; determining a first simulation selection parameter based on the weight value of each data in the simulation parameter data and the first simulation parameter data; determining a second simulation selection parameter based on the weight value of each data in the simulation parameter data and the second simulation parameter data; Wherein, the indoor experiment is carried out based on a plurality of drill bits to be selected, and the step of obtaining indoor parameter data includes: Based on the plurality of drill bits to be selected, an indoor experiment is carried out through the first experimental parameter, and the first indoor parameter data is obtained; performing indoor experiments based on a plurality of drill bits to be selected through second experimental parameters, and acquiring second indoor parameter data; Wherein, the step of determining indoor type selection parameters based on the evaluation analysis model and the indoor parameter data includes: determining the weight value of each data in the indoor parameter data based on the evaluation analysis model; determining a first indoor type selection parameter based on the weight value of each data in the indoor parameter data and the first indoor parameter data; determining a second indoor type selection parameter based on the weight value of each data in the indoor parameter data and the second indoor parameter data; Among them, the steps of constructing the evaluation analysis model include: Through the analytic hierarchy process, the selection parameters are used as the target layer, and the drilling pressure, ROP, cutting amount and radial load are used as the index layer to construct the evaluation analysis model; The evaluation analysis model is used to determine the weight of each data in the simulation parameter data; The evaluation analysis model is used to determine the weight of each data in the indoor parameter data; Wherein, by the analytic hierarchy process, the selection parameters are used as the target layer, and the weight on bit, the ROP, the cutting amount and the radial load are used as the index layer, and the steps of constructing the evaluation analysis model include: Determine the comparative quantitative value among the weight on bit, the ROP, the cutting amount and the radial load, and construct a judgment matrix between the target layer and the index layer: performing normalization processing on the judgment matrix to obtain the evaluation analysis model; Wherein, the step of determining a target drill among a plurality of drills to be selected based on the simulation selection parameters and the indoor selection parameters includes: Perform performance ranking for multiple drill bits to be selected based on the first simulation selection parameters, and obtain a first sequence; Perform performance ranking for multiple drill bits to be selected based on the second simulation selection parameters, and obtain a second sequence; Based on the first indoor type selection parameter, perform performance ranking for a plurality of the drill bits to be selected, and obtain a third sequence; Perform performance ranking for a plurality of drill bits to be selected based on the second indoor selection parameters, and obtain a fourth sequence; In the case that the first sequence, the second sequence, the third sequence and the fourth sequence are the same, based on the first simulation selection parameter, the second simulation selection parameter, the The maximum value of the first indoor selection parameter and the second indoor selection parameter determines the target drill bit. 2. drill bit selection method according to claim 1, is characterized in that, described based on described simulation type selection parameter and described indoor type selection parameter, in a plurality of described candidate drill bits, the step of determining target drill bit Also includes: When the first sequence, the second sequence, the third sequence, and the fourth sequence are not the same, adjusting the comparison quantization value to obtain a replacement comparison quantization value; Constructing a correction evaluation analysis model based on the quantitative value of the replacement comparison; Based on the calibration evaluation analysis model, the simulation parameter data and the indoor parameter data, a target drill bit is determined among the plurality of candidate drill bits.

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