Drilling rig power consumption modeling and downhole speed control method based on fusion of multi-dimensional parameter analysis

Abstract

The application discloses a method for modeling power consumption of a drilling machine and controlling a downhole speed by fusing multi-dimensional parameter analysis, and particularly relates to the field of pile foundation construction. Based on a power balance model, construction parameters collected are substituted into the model to obtain a theoretical control speed under a current working condition. A combined filtering algorithm is used to smooth a current downhole speed curve, and an average value of a last smooth downhole speed curve is output. The average value of the last smooth downhole speed curve is compared with the theoretical control speed to obtain a working condition coefficient. The working condition coefficient is used as a judgment basis, and real-time conditions are combined for auxiliary verification. According to a preset mapping relationship, a current construction working condition type is determined. According to the determined working condition type, a corresponding adaptive control strategy is automatically matched and executed to dynamically adjust a downhole speed of a drill rod, a cutting rotating speed and grouting system parameters, so that a closed-loop control is formed.

Description

Technical Field

[0001] This invention relates to the field of pile foundation construction, specifically to a method for modeling drilling rig power consumption and controlling drilling speed by integrating multi-dimensional parameter analysis. Background Technology

[0002] Cement mixing pile technology is a foundation improvement technology widely used both domestically and internationally for foundation treatment, soft soil reinforcement, and pile foundation engineering. Its principle is to use specially designed deep mixing machinery to forcibly mix cement slurry or other curing agents with the original foundation soil on-site and mix them thoroughly. Through a series of physical-chemical reactions between the curing agent and the soft soil, a cement-soil pile body with high strength, good integrity, and good water stability is formed.

[0003] During drilling operations, the drill bit comes into direct contact with rock formations, soil, and other media. Especially in complex environments with uneven hardness and impurities (such as boulders and sand interlayers), the cutting edge and head of the drill bit wear down rapidly. Continuing to use a worn drill bit will lead to reduced drilling efficiency, increased hole diameter deviation, and even failure to meet construction accuracy requirements. Furthermore, the measured data is easily affected by other factors, resulting in errors. Therefore, frequent shutdowns for drill bit replacement are necessary. Frequent shutdowns for drill bit replacement increase construction costs and impact schedules, with the disadvantages being even more pronounced in projects with tight deadlines.

[0004] Traditional drill pipe drilling speed control methods often rely on a single parameter or experience, making them difficult to adapt to complex working conditions. For example, judging resistance solely by drilling current can lead to current lag when the formation changes abruptly, making it difficult to adjust the speed in time and increasing the risk of drill bit jamming. Judging progress based on drilling speed without considering other factors results in inconsistent pile quality. Summary of the Invention

[0005] To address this issue, the present invention provides a method for integrating multi-dimensional parameter analysis to model drilling rig power consumption and control drilling speed, thereby resolving the problems mentioned in the background art.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a multi-dimensional parameter analysis drilling rig power consumption modeling method is used to collect construction parameters during the drilling process in real time, including:

[0007] Based on the power balance model, the collected construction parameters are substituted to obtain the theoretical control speed under the current working conditions; a combined filtering algorithm is used to smooth the current drilling speed curve and output the average value of the last smoothed drilling speed curve.

[0008] Among them, the construction parameters collected in real time during the drilling process include cutting current. Increase or decrease current Drilling speed Cutting speed grout delivery pipeline pressure and slurry flow rate .

[0009] The theoretical control speed is calculated using a power balance model. ,as follows:

[0010] ;

[0011] in, , , , , , These are parameters determined through on-site calibration tests; , The current-to-power conversion factor; Power consumption coefficient for rotational speed; Uniform drilling calibration stage: To control different constant speeds of the drill rod as it descends at a uniform rate in a homogeneous formation; This is the grout pressure resistance coefficient; The coefficient of performance is the slurry lubrication factor. The basic resistance coefficient; the first set of parameters includes the cutting current. Increase or decrease current Cutting speed The first set of parameters is used to calculate the net downhole power; the second set of parameters includes the grouting pipeline pressure. and slurry flow rate , used to calculate overall drilling resistance; The effective range is determined by the physical properties of the drilling rig and the quality of the pile-forming process.

[0012] Preferred parameters , , , , , The following two stages of field calibration tests were used to determine:

[0013] No-load calibration stage: With the drill pipe suspended, adjust the cutting speed in steps. Record the corresponding no-load current and determine the current-to-power conversion coefficient through linear fitting. , With speed power consumption coefficient ;

[0014] Uniform speed drilling calibration stage: In uniform formations, the drill pipe is controlled at different constant speeds. Drilling at a constant speed, simultaneously collecting the corresponding lifting and lowering current. Cutting current Cutting speed grout delivery pipeline pressure and slurry flow rate The data was used to solve for the grout pressure drag coefficient using the following multiple linear regression equation. Slurry lubrication coefficient and basic resistance coefficient ;

[0015] ;

[0016] The parameters determined by calibration satisfy , , , , , Physical constraints.

[0017] Preferably, abnormal spike noise caused by drilling speed fluctuations due to drilling rig vibration or electromagnetic interference would lead to excessively frequent program control if controlled based on real-time drilling speed. Therefore, a combined filtering algorithm is used to smooth the current drilling speed curve, with the following steps:

[0018] First, median filtering is used to obtain the average down-the-hole speed over a certain down-the-hole period:

[0019] ;

[0020] in, A function to obtain the median; For the first The measured values ​​of the drilling speed at each point, i.e., the drilling speed ; For the first The drilling speed value output after median filtering at each point; The filter radius determines the width of outliers that can be filtered, and is determined based on on-site construction parameters;

[0021] After smoothing, the average drilling speed of the entire drilling curve cannot be directly taken. The average value of the last smoothed segment should be used as the final measured drilling speed. Therefore, after median filtering, a total variation denoising method is used to detect fault points in the speed variation and compress the drilling speed within different segments into an average value. The average value of the last smoothed drilling speed curve is then output. ;

[0022] First, obtain the minimum total cost. To perform noise reduction, the calculation is as follows:

[0023] ;

[0024] in, The first denoising step after median filtering and total variation denoising is... Drilling curve data for each point; This is a regularization parameter that determines how much fluctuation can be ignored during layering;

[0025] After total variational denoising, we obtain The segments are clearly layered; let the first segment be... Duan You The data point, the first The starting data of the segment is all The first segment of data For each data point, then The calculation formula is as follows:

[0026] .

[0027] Preferred regularization parameters The calculation is as follows:

[0028] ;

[0029] in, This is an engineering experience coefficient, dimensionless; Noise standard deviation It is N times the value of the algorithm; for algorithm implementation, this coefficient is usually around 4 for better results. This represents the background noise amplitude during drilling, expressed in m / min. It also represents the range of reading fluctuations caused by factors such as drill string vibration and mud pumping during drilling within the same formation. The value is taken as... , This serves as the standard for the first dataset with no obvious outliers within a 1m range. Pick It can cover 95% of noise fluctuations.

[0030] This invention also discloses a method for controlling the down-the-hole speed, which is based on the above method and compares the average value of the last segment of the smoothed down-the-hole speed curve. With theoretical control speed Obtain the operating condition coefficient ,Right now ;

[0031] Based on working condition coefficient As a basis for judgment, auxiliary verification is carried out in combination with real-time conditions, and the current construction condition type is determined according to the preset mapping relationship;

[0032] Based on the determined working condition type, the system automatically matches and executes the corresponding adaptive control strategy, dynamically adjusting the drilling speed of the drill pipe, the cutting speed, and the grouting system parameters to form a closed-loop control.

[0033] Preferably, when the working condition coefficient falls within a preset working condition range, it is checked whether key construction parameters consistent with the expected characteristics of that working condition undergo coordinated changes; wherein, the coordinated changes include:

[0034] 1) Determine whether the encounter with a soft layer is accompanied by a simultaneous decrease in drilling resistance and a slight decrease in current;

[0035] 2) Determine whether the encounter with a hard layer is accompanied by a sudden increase in drilling resistance and a significant rise in current;

[0036] 3) When determining if there is a blockage in the grout delivery system, is there a simultaneous abnormal increase in the pressure of the grout delivery pipeline?

[0037] 4) When it is determined that the slurry is insufficient, is it accompanied by a slurry flow rate that is 30% lower than the design value?

[0038] 5) When determining whether drill pipe seizure is accompanied by a sudden drop in cutting speed and a sudden increase in rotational resistance torque;

[0039] 6) When determining equipment failure, is it accompanied by excessive motor current / no sensor signal?

[0040] Preferably, the mapping relationship includes:

[0041] 1) When If the location is determined to be in a weak geological formation, the speed should be reduced to allow for further movement. =1.3; at the same time, the cutting speed is increased by 20% to meet the higher requirements of soft formations for mixing uniformity;

[0042] 2) When When it is determined that the formation has entered a relatively soft stratum, the current lifting and lowering speed is not changed, but the cutting speed is increased by 10% to match the current lifting and lowering speed.

[0043] 3) When If the drilling is in progress, it is considered normal, and the current operating parameters are maintained.

[0044] 4) When When the drill string is deemed to have insufficient slurry, a strategy is implemented to reduce the drilling speed by 40% and trigger a slurry replenishment alarm.

[0045] 5) When When the blockage is detected, the drill pipe is controlled to reduce the drilling speed by 50% and trigger the pipeline backflushing procedure.

[0046] 6) When When it is determined that a hard layer has been encountered, the drill pipe is controlled to implement a strategy of reducing the drilling speed by 30% and increasing the cutting speed by 10%.

[0047] 7) When When it is determined that the drill pipe is stuck, the drill pipe is controlled to implement a strategy of appropriately reducing the drilling speed and increasing the re-stirring operation;

[0048] 8) When At that time, an emergency shutdown was triggered.

[0049] This invention collects construction parameters in real time, including drilling current, cutting current, drilling speed, cutting rotation speed, grouting pipeline pressure, and grout flow rate. It deeply integrates the power balance principle with the complex coupling mechanism of soil-machine-grout, constructing a multi-dimensional parameter analysis formula and establishing a real-time power consumption model. This model analyzes the drilling rig's input electrical power into component power consumption and establishes a precise correlation with the construction parameters. It removes outliers from the drilling speed-depth curve using median filtering and searches for significantly different segments in the drilling speed through full variational denoising, calculating the accurate average real-time drilling speed. By calculating the operating condition coefficients of the control speed and the real-time drilling speed, it accurately identifies operating conditions such as normal drilling, encountering soft or hard layers, and grouting blockage, and matches adaptive control strategies such as speed reduction and rotation speed increase. This method enables intelligent dynamic adjustment of drilling speed, effectively avoiding risks such as stuck drill and drill rod seizure, reducing drill bit wear, and significantly improving pile quality, construction safety, and efficiency. Compared with existing technologies, this invention is based on a drill rod drilling speed control method with multiple construction parameters. Multi-parameter collaborative analysis effectively distinguishes different geological conditions, realizes intelligent adjustment and safety protection of drilling speed, reduces drill bit wear rate, and significantly improves pile quality and construction safety. Attached Figure Description

[0050] Figure 1 Flowchart of the method for modeling drilling rig power consumption and controlling drilling speed by integrating multi-dimensional parameter analysis provided by the present invention;

[0051] Figure 2 The original data drilling speed curve provided for this invention;

[0052] Figure 3 This is a schematic diagram of the drilling speed curve structure after median filtering provided by the present invention;

[0053] Figure 4 This is a schematic diagram of the drilling speed curve structure after total variation denoising provided by the present invention. Detailed Implementation

[0054] The following specific embodiments illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0055] This invention aims to provide a method for integrating multi-dimensional parameter analysis to model drilling rig power consumption and control drilling speed. This method improves the design of existing construction machinery by pre-installing sensors on the pile driver to acquire parameters in real time. Then, through multi-parameter collaborative analysis, it effectively distinguishes different geological conditions, realizes intelligent adjustment and safety protection of drilling speed, reduces drill bit wear rate, and significantly improves pile quality and construction safety.

[0056] During the construction of cement mixing piles, the drill rod may encounter complex and variable working conditions and cause problems when it is lowered into the ground. To ensure construction quality, equipment safety, and efficiency, the permissible drilling speed control value is specified. It is not a fixed value, but is constrained and influenced by multiple key factors, which may include:

[0057] Cutting current ( ): This reflects the torque and power consumption of the drill bit during the lifting and lowering process. Excessive current may indicate that the drill bit has encountered a hard object or that the drilling speed is too fast, while insufficient current may indicate that the drill bit is spinning freely or has encountered soft soil.

[0058] Increase / decrease current ( ): This reflects the vertical resistance encountered by the drill bit during the lifting and lowering process. Excessive current may indicate the encounter with rock or hard layers, while insufficient current may indicate idling or the encounter with soft soil.

[0059] Cutting speed ( The rotational speed (rpm) of the drill rod affects the degree of soil fragmentation and mixing effect. Too high a speed may lead to over-mixing or equipment damage, while too low a speed will result in uneven mixing.

[0060] Grouting pipeline pressure ( The pressure (%) reflects the grouting resistance and is related to the grout properties (viscosity, density), flow rate, pipe shape (length, diameter, curvature), and soil resistance at the drill bit nozzle. Excessive pressure may indicate poor grouting or insufficient grout-carrying capacity of the formation, while insufficient pressure may indicate insufficient grout or leakage.

[0061] Cement slurry flow rate ( The volume of grout injected into the soil per unit time (L / min) directly affects the grout's displacement, lubrication, and solidification effects on the soil. The flow rate needs to be matched with the drilling speed and rotation speed to ensure an appropriate supply of cement grout.

[0062] Rise and fall speed ( : Drilling depth per unit time (m / min). Too fast a speed may lead to uneven mixing, insufficient pile diameter, or even stuck drill bit; too slow a speed will result in low efficiency.

[0063] Therefore, efficient and secure determination The value is a dynamic adjustment process that requires comprehensive consideration and real-time response to changes in the above factors to ensure smooth drilling, equipment safety, and achieve the expected pile formation effect.

[0064] 1. Calculation

[0065] During the drilling process of cement mixing piles, the power provided by the drilling rig is mainly used to overcome multiple resistances from the soil and drive necessary actions. The core resistances include soil shear resistance (originating from the cutting and squeezing of the soil by the drill bit blades), soil-drill rod side friction (generated by friction between the drill rod side and the surrounding soil), and grout injection resistance (reflected in the grouting pressure, which is the force required to inject grout into the soil pores or split the soil). Additionally, the grout lubrication effect generated during the grouting process significantly reduces the frictional resistance between the soil and the drill rod, thus partially offsetting the side friction. Specifically, the power consumption of the drilling rig is manifested in: the work done to overcome the aforementioned soil resistances (expressed as the required torque and axial force), driving the drill rod to rotate (expressed as torque), and pumping the grout (expressed as pump pressure).

[0066] Based on the power balance principle S during drill pipe running, the net running power can be determined. =Power consumed by resistance .

[0067] Net drilling power, calculated by subtracting rotational power consumption from the total power of the motor during drilling, better reflects the power used to overcome axial drilling resistance. Resistance-related power consumption describes how net drilling power is consumed during drilling by overcoming resistances related to drilling speed.

[0068] Electricity consumed by the drilling rig With cutting current and increase / decrease current Proportional:

[0069] (1);

[0071] , It is the current-to-power conversion factor, which is related to voltage and power factor, and its value ranges from 0.3 to 0.6.

[0072] (2);

[0074] The parameters in the formula are all relevant parameters of the pile driver used for mixing piles, which can be obtained from the motor nameplate.

[0075] Rotational power consumption Only related to cutting speed Relevant, namely:

[0076] (3);

[0078] This is the power consumption coefficient for speed, with a value ranging from 0.5 to 1.0.

[0079] Then the net drilling power for:

[0080] (4);

[0082] The power consumed during drilling is mainly used for the following two purposes:

[0083] Rotational power Overcoming the resistance torque of the soil on the rotation of the drill bit / drill rod Drive the drill pipe at a speed Rotate.

[0084] (5);

[0086] Drilling power Overcoming the axial resistance of the soil to the drilling rod during drilling. Drive the drill pipe at a speed Drill down.

[0087] (6);

[0089] The total power consumption P is approximately equal to the sum of the rotational power and the drilling power:

[0090] (7);

[0092] Based on power balance, we can obtain:

[0093] (8);

[0095] Axial resistance of soil to drill pipe during drilling It is the combined reaction force generated by the soil on the drill pipe system, and its main components include the following key components:

[0096] ① Soil shear resistance : with drilling speed and soil shear strength Proportional to, and simultaneously affected by rotational speed The impact is that the higher the rotational speed, the greater the soil disturbance, and the lower the resistance may be.

[0097] (9);

[0099] In the above formula, This is the speed influence factor, which indicates that increasing the speed will reduce the resistance, and its value ranges from 0 to 1.

[0100] ② Slurry infeed resistance : by slurry pressure Acting on the area of ​​the drill bit injection nozzle It is generated, in an upward direction. According to Darcy's law in fluid mechanics, the slurry flow velocity... With grouting pressure A relationship exists.

[0101] Combining all the factors, we can conclude that:

[0102] (10);

[0104] in, The hydraulic resistance depends on parameters such as slurry viscosity and pipe geometry.

[0105] ③ Slurry lubrication reduces resistance The lubrication effect of slurry can significantly reduce the frictional resistance between the soil and the drill pipe, thereby partially offsetting the lateral friction.

[0106] (11);

[0108] ④ Constant foundation resistance This includes the component of the drill pipe's own weight, constant friction, etc., and is a constant.

[0109] In summary, the total axial resistance can be expressed as:

[0110] (12);

[0112] Rotational resistance torque Mainly affected by soil strength and cutting speed Influence:

[0113] (13);

[0115] That is, the resistance torque is directly proportional to the rotational speed. The proportionality coefficient; soil strength The variation is small within a certain stratum, therefore and Can be combined into a constant The area of ​​the spray nozzle is constant, which allows for... , is a constant.

[0116] In summary, based on the power balance principle during drill pipe running, the following formula is obtained:

[0117] (14);

[0119] The simplified formula yields the following final formula for drilling speed as output:

[0120] (15);

[0122] In the above formula, , For current coefficient, For speed coefficient, This is the pressure resistance coefficient. The coefficient of performance is the lubrication factor of the slurry. The value represents the drag coefficient. Table 1 shows the data transmitted from the sensor to the system in real time.

[0123] Table 1 Sensor Parameters

[0124]

[0125] Table 2 Introduction of Parameters

[0126]

[0127] The six parameters in Table 2 need to be determined through multi-stage field calibration tests, based on the principle of energy conservation and the soil-mechanism-slurry interaction relationship. The specific calibration process is as follows:

[0128] ① Basic calibration stage: Conduct a no-load test in a uniform formation, fix the drill pipe in a suspended state, adjust the rotation speed in steps (20 / 30 / 40 / 50 rpm), and record the current. , With rotational speed The linear relationship was determined, and the rotational power coefficient was extracted. .

[0129] ② Uniform speed drilling test: controlling the drilling speed Constant (0.8 / 1.2 / 1.6 m / min), synchronous data acquisition , , , , Through equation (16) , , To solve, where Follow It increases with the increase of [something]. Follow Increases and decreases.

[0130] ③ The final coefficients must satisfy physical constraints: , , , , , The dimensional consistency was verified by the power balance equation.

[0131] 2. Calculation

[0132] Obtained through the formula Next, the collected measured drilling data needs to be combined and filtered to obtain the depth segment where the drill string is located, i.e., the [missing information]. Average drilling speed of the segment .

[0133] Combined filtering consists of two steps: median filtering and total variational denoising. The core parameter of median filtering is the filter radius. The core parameter of the total variation denoising method is the regularization parameter. All of these need to be calculated and input using on-site construction design parameters.

[0134] The value of is calculated based on the following formula:

[0135] (16);

[0137] In equation (16), For depth step interval, The rounding up symbol, This refers to the physical length of the maximum single abnormal disturbance, such as how long bad data would typically be generated on the logging curve if the drill bit encountered a hard core and slipped, or if a sensor experienced a single electromagnetic interference.

[0138] This determines the balance between preserving data details and identifying data patterns. Only by determining the data features based on median filtering can the overall structure be optimized. Only in this way can residual noise be effectively eliminated while preserving the true trend of the data. Its value is calculated based on the following formula:

[0139] (17);

[0141] In equation (17), This is an engineering experience coefficient, dimensionless. This is to ensure noise is suppressed, typically... It needs to be several times the standard deviation of the noise. For algorithm implementation, this coefficient is usually around 4 for good results.

[0142] The noise level represents the background noise amplitude during drilling, expressed in m / min. This represents the range of reading fluctuations caused by factors such as drill string vibration and mud pumping during drilling within the same formation; the value is taken as... , The standard deviation is the first dataset within a 1m range that has no obvious outliers. Pick It can cover 95% of noise fluctuations.

[0143] The minimum identifiable formation gradient, expressed in m / min. This represents the minimum change in drilling speed caused by formation variations, estimated using the range of drilling speed variations from measured curves. Assume the drilling speed variation range after median filtering is... Then take Round up to one decimal place.

[0144] The operating condition coefficient is obtained by comparing it with the measured data transmitted back by the sensor. .

[0145] Based on the calculated working condition coefficient Refer to Table 3 below for the numerical value of the coefficient to determine the specific operating condition type. Then, based on the identified operating condition type and the observed physical phenomena, select and apply a matching control strategy.

[0146] Table 3 Operating Condition Information

[0147]

[0148] The upper limit of the normal drilling range is set at 1.3, providing a small safety margin for dynamic control. In practical applications, this boundary can be adjusted according to the aggressiveness of the control strategy.

[0149] Application examples:

[0150] First, obtain the key parameters from the equipment motor nameplate.

[0151] ①Cutting motor: Rated power =75kW, rated voltage =380V, rated current =140A, power factor =0.87, motor efficiency =0.95 (95%).

[0152] ② Lifting and lowering motor: Rated power =22kW, rated voltage =380V, rated current =42.5A, power factor =0.86, motor efficiency =0.93 (93%).

[0153] The input power of the two motors can be obtained from the formula for the input power of a three-phase motor. and :

[0154] ;

[0155] ;

[0156] Then the output power and for:

[0157] ;

[0158] ;

[0159] Then there is and They are respectively:

[0160] ;

[0161] ;

[0162] Lift the drill bit off the ground to ensure it is completely unloaded (not in contact with the soil, with no drilling resistance), maintain stable voltage, and ensure that the equipment's hydraulic and transmission systems are at normal operating temperature and condition.

[0163] Table 4 No-load test

[0164]

[0165] According to Table 4, the following calculations are performed:

[0166] =1.3A / rpm × 0.5 kN·m / s / A = 0.65

[0167] The test stratum was set as a silt layer, and the cement mixing pile diameter was 0.6m. Control =40rpm, =0.9 m 3 Drilling at a constant speed of / min.

[0168] Table 5 Uniform speed drilling test

[0169]

[0170] Table 6 Calculation Parameters

[0171]

[0172] Substituting the data from Table 6 into the equation and solving the simultaneous equations, we can obtain the parameters. , , The value of .

[0173] in, =-390, =-1.8, =220;

[0174] Therefore, the expression for the speed control equation is:

[0175] ;

[0176] Real-time data collected: =90A, =22A, =35rpm, =0.4MPa, =300L / MIN=0; 3m 3 / min, substituting it into the formula and converting the units, we get:

[0177] ;

[0178] The drill string has now drilled to a depth of 8 meters. Median filtering and total variation denoising have been applied to the drilling speed-depth data. The original data is as follows: Figure 2 As shown.

[0179] Based on the data collected on-site, one data point was collected every 0.05m, and an outlier destroyed 0.15m of data. Therefore, the core parameters for median filtering are... according to =0.05m and =0.15m, obtained through equation (15) =3. After obtaining the parameters, perform median filtering to obtain... Figure 3 The median filter curve has now yielded a preliminary trend line.

[0180] Then determine the relevant parameters according to the definition of equation (17). After median filtering, the standard deviation of the first segment with no outliers within a 1m thickness is 0.025m. Therefore... The current drilling speed in the formation varies from 0.5 to 1.0 m / min, therefore Take 0.25 m / min and round up to one decimal place. =0.3 m / min was used as the minimum change threshold for the formation; in addition, =4. The final result is... Finally, total variation denoising is performed to obtain... Figure 4 The final curve.

[0181] As can be seen, in Figure 4 In the combined filtering, the drilling speed is divided into three distinct smooth trend lines, eliminating noise while preserving the true trend compared to the original data. The average drilling speed of the last smooth curve is then calculated. = =0.63m / min, then the working condition coefficient is obtained:

[0182] ;

[0183] Referring to Table 3, the current working condition is condition ③, which is a normal drilling state and requires no changes.

[0184] Although the present invention has been described in detail above with general descriptions and specific embodiments, modifications or improvements can be made to it, which will be obvious to those skilled in the art. Therefore, all such modifications or improvements made without departing from the spirit of the present invention fall within the scope of protection claimed by the present invention.

Claims

1. A method for modeling the power consumption of a drilling rig by fusing multi-dimensional parameter analysis, real-time acquisition of construction parameters during the drilling process of the drilling rig, characterized in that: Comprise: Based on the power balance model, the collected construction parameters are substituted to obtain the theoretical control speed under the current working condition; a combined filtering algorithm is used to smooth the current drilling speed curve, and the average value of the last smooth drilling speed curve is output; Wherein, the combined filtering algorithm is used to smooth the current drilling speed curve, and the steps are as follows: First, the average drilling speed in a period of drilling time is obtained by using median filtering: ； wherein, is a function of the median; is the measured value of the penetration rate at the point, i.e. the penetration rate ; is the value of the penetration rate at the point after median filtering; is the filtering radius, which determines how wide an outlier can be filtered, and is determined based on the field construction parameters; After median filtering, the fault points of speed change are detected by total variation denoising method, and the drilling speed in different layers is compressed into an average value, and the average value of the last smooth drilling speed curve is output, that is ; First, denoising is performed by obtaining a minimized total cost as follows: ； wherein, is the downgoing curve data of the i-th point after median filtering and total variation denoising; is the downgoing curve data of the i-th point after median filtering and total variation denoising; is the regularization parameter, which determines how much fluctuation can be ignored when layering. After total variation denoising, we obtain The segment is obviously layered; set the first segment has data, the first data of the segment is the first data of all segment data, then The calculation formula is as follows: ； Regularization parameter is calculated as follows: ； wherein, is the minimum identifiable stratigraphic level difference; is the engineering experience coefficient, dimensionless; is the N times of the noise standard deviation ; and is the drilling background noise amplitude, in m / min. Among them, the construction parameters in the drilling process of the drilling rig are collected in real time, including cutting current , lifting current , drilling speed , cutting rotating speed , slurry pipeline pressure and slurry flow rate ; Calculating the theoretical control speed by the power balance model As follows: ； wherein , , , , , are parameters determined by field calibration tests; , is the current-power conversion factor; is the rotational speed power consumption factor; uniform drilling calibration phase: are different constant speeds for controlling the uniform drilling of the drill pipe in a uniform formation; is the slurry pressure resistance coefficient; is the slurry lubrication coefficient; is the base resistance coefficient; the first group of parameters includes the cutting current , the lifting current , the cutting rotational speed , for calculating the net drilling power; the second group of parameters includes the slurry pipeline pressure and the slurry flow rate , for calculating the comprehensive drilling resistance.

2. A method of downhole speed control, characterized by: The fusion multi-dimensional parameter analysis drilling rig power consumption modeling method based on claim 1, compares the average value of the last section of the smooth drilling speed curve of the drilling speed curve With the theoretical control speed , obtains the working condition coefficient That is ; With the working condition coefficient as the judgment basis, auxiliary verification is performed in combination with real-time conditions, and the current construction working condition type is determined according to a preset mapping relationship. According to the determined working condition type, the corresponding adaptive control strategy is automatically matched and executed to dynamically adjust the drilling speed of the drill rod, the cutting speed and the grouting system parameters, and a closed-loop control is formed.

3. The push down speed control method of claim 2, wherein: Auxiliary verification specifically refers to: when the working condition coefficient falls within the preset working condition interval, checking whether the key construction parameters that match the expected characteristics of the working condition change synchronously; wherein, the synchronous change includes: 1) When encountering a soft layer, whether the drilling resistance decreases and the current decreases slightly synchronously; 2) When encountering a hard layer, whether the drilling resistance increases suddenly and the current rises obviously synchronously; 3) When the slurry transportation is blocked, whether the slurry pipeline pressure abnormally rises synchronously; 4) When the slurry is insufficient, whether the slurry flow rate is lower than 30% of the design value synchronously; 5) When the drill rod is locked, whether the cutting speed drops suddenly and the rotary resistance moment increases suddenly synchronously; 6) When the equipment fails, whether the motor current is out of limit / sensor has no signal synchronously.

4. The push down speed control method of claim 3, wherein: The mapping relationship includes: 1) When the soft stratum is entered, the speed should be reduced so that = 1.3; at the same time, the cutting speed is increased by 20% to meet the higher requirements of the soft stratum on mixing uniformity; 2) when the current rate of penetration is less than 50% of the average rate of penetration, and the current rate of penetration is less than 50% of the average rate of penetration, and the current rate of penetration is less than 50% of the average rate of penetration, and the current rate of penetration is less than 50% of the average rate of penetration, and the current rate of penetration is less than 50% of the average rate of penetration 3) when normal drilling, the current operating parameters are maintained; 4) When the slurry is determined to be insufficient, and the drill pipe executes a strategy of reducing the downhole speed by 40% and triggering a slurry supplement alarm; 5) When a slurry plug is determined, and the drill pipe is controlled to execute a strategy of emergency reduction of the rate of penetration by 50% and triggering a pipe-back program. 6) When a hard layer is encountered, the drill string is controlled to execute a strategy of reducing the penetration rate by 30% and increasing the rotational speed by 10%. 7) when the drill pipe is stuck, and the drill pipe is controlled to implement a strategy of appropriately reducing the drilling speed and increasing the re-stirring operation. 8) When an emergency stop is triggered.

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