The way to determine the health of the rock cutting tool

 

(57) Abstract:

The invention relates to the field of control parameters of drilling and can be used for diagnostics of the rock cutting tool. The method involves the measurement of pressure fluctuations of the washing liquid on the bit and fluctuations of the axial load on the bit, select the current criteria of efficiency, setting their reference values and determining the health of a rock cutting tool by comparing the current values with their reference values. What's new is that at any point in the drilling define the Gini coefficient GPpressure fluctuations of the washing liquid and the Gini coefficient GQfluctuations of the axial load. As criteria of health accept the current values of TP= 1 - GPand TQ= 1 - GQthe minimum wear of rock cutting tools and, consequently, its maximum efficiency correspond to the maximum values of these criteria. As reference values take TPFL= TQFL= 1. The invention improves the accuracy of estimation of technical condition of the rock instrumental rock destruction tool. 3 Il., table 2.

The invention relates to the field of control and measurement parameters in the process of drilling oil and gas wells and can mainly be used when diagnosing the health of a rock cutting tool with a view to its effective testing, as well as in the development of automated control systems of the drilling process.

There is a method of determining the degree of wear of rock cutting tool, consisting in the measurement of the pulsation pressure of the flushing fluid and its subsequent transformation into a spectrum of pressure fluctuations, and the criterion of wear of rock cutting tool is received bandwidth normalized spectral density, and the wear limit is characterized by the absence of the dominant frequency. C. 1427059, USSR, E. 21 In 45/00, B. I. 36, 1988).

Along with the indisputable advantages of the spectral analysis has certain limitations. First, the original signal is replaced periodically. When Fourier transformation of the time-varying process parameters for the entire test signal obtained averaged coefficients. Therefore, methods based on spectral analysis, does not allow for when conducting vibrodiagnostics research.

Known way to determine the health of the rock cutting tool by registering the pressure fluctuations of the washing liquid in the discharge line and calculate the value of the criterion of its efficiency.with. 1800011, USSR, E. 21 In 45/00, B. I. 9, 1993).

In this way calculate the correlation dimension at the beginning and during the drilling process, determine the health criteria and its reference value for each performance stack drilling and border uptime identify with time to reach a criterion of its reference values.

The disadvantage of this method is rather complicated procedure of determining health criteria and, accordingly, the low accuracy of estimation of the technical state of the rock cutting tool during operation, because there is only one option.

Closest to the present invention is a method of determining the health of a rock cutting tool.with. 1102906, USSR, E. 21 In 45/00, B. I. 26, 1984), including the measurement of pressure fluctuations of the washing liquid on the bit and fluctuations of the axial load on the bit, select the current criteria of efficiency, setting their reference values and coupon values. The current criteria for the operability of the prototype using the coefficients of variation of a large number of measured parameters, including the cost of power for drilling, ROP, and so on, taking into account the level of importance and the digital values of the averaging interval.

The known method is difficult and not precise enough to determine the state of rock cutting tool in the process of drilling wells.

The present invention solves the technical problem of improving the accuracy of evaluation of technical condition of the rock cutting tool (drill bit) in operation at simplification by reducing the number of controlled parameters.

The problem is solved in that in the method of determining the health of a rock cutting tool, including the measurement of pressure fluctuations of the washing liquid on the bit and fluctuations of the axial load on the bit, select the current criteria of efficiency, setting their reference values and determining the health of a rock cutting tool by comparing the current values with their reference values, determine the Gini coefficient GPpressure fluctuations of the washing liquid is topolinski accept the current values of TP= 1 - GPand TQ= 1 - GQthe minimum wear of rock cutting tools and, consequently, its maximum efficiency correspond to the maximum values of these criteria, and as reference values take TPFL= TQFL=1.

The Gini coefficient is used, for example, in the economy for measuring inequality in the distribution of the total social income and levels of living of different segments of the population using the Lorenz curve ("Science and life", 2, 1998, S. 60). The algorithm for determining the Gini coefficient, which includes the construction of the Lorenz curve or line distribution, described in the work (McConnell, Campbell R., Brue, Stanley L., Economics: Principles, problem and policy. - Lane. from English. - M.: Republic, 1993. - S. 276-278). The greater the deviation of the Lorenz curve from the ideal curve, the greater the Gini coefficient will be close to unity, i.e., the greater the inequalities in the distributions. Similarly, you can define inequality in the measurement of pressure fluctuations of the washing liquid, the oscillation of the axial load and the change of the technical condition of the rock cutting tool at an arbitrary point in drilling wells. Pomyvochnoj fluid and fluctuating axial load on the bit (Q), - the number of these values at the beginning and end of each chipping (N). If between the parameters of the drilling process and the technical condition of the bit, there was an unambiguous and uniform dependence, for example 20% wear of the bit corresponded to well-defined values, a 40% depreciation - other specific values, this relationship would reflect the "ideal curve" of Fig.1 this is a direct OE. In fact there is a different picture, represented by the curve OABCDE or the so-called Lorenz curve. The greater the deviation of the Lorenz curve from the line OE, the lower the correlation between the analyzed indicators. The area of the shape ABCDEO is an integral indicator of differences between the actual distribution is completely unambiguous and uniform.

For definitions of the Gini coefficient (G) should be divided area S1between the cut OE and the Lorenz curve to the area of S2triangle OFE:

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the area of a triangle OEF (Fig.1), this value is constant, based on the definition of the Gini coefficient on the Lorenz curve ("Science and life", 2, 1998);

the area of the shape OABCDEF;

Xi=Ni(%), YNi=Qi(%).

The calculation of the Gini coefficient G, and the criterion for the decision management process of drilling, in particular to determine the technical condition and, accordingly, the operability of the rock cutting tool.

It is assumed that prior to drilling the bit is in equilibrium-ordered state. The drilling process and, accordingly, the change of the technical condition of the bit leads to the imbalance of the system, the increase of the Gini coefficient G and the reduction of health criteria bit So Therefore, when drilling the technical condition of the bit must satisfy the condition of a system in which no growth of the Gini coefficient G, and the health criteria T is close to the reference value of the unit that will allow you to prevent an accident with a chisel. Thus, this approach allows a certain degree of accuracy to interpret the technical condition of the bit and to diagnose, for example, the transition of the technical condition of rock cutting tool from nearly new (1P1) up to a maximum of depreciated (IN4P3).

In Fig. 2 shows a device for implementing the method of determining the health of a rock cutting tool during drilling control 5, the display unit 6, the control unit 7.

The proposed method is implemented as follows. At the wellhead are two pressure - two receiver signals. Sensor 1 is installed on the fixed end of the pulley rope or hydraulic weight indicator for measuring oscillations of axial load on the bit, and sensor 2 on manifolding line to measure the pressure fluctuations of the washing liquid.

Further signals, each in its own channel, proceed to block regulation 3, which provides the coordination of the range of the output signals of the sensors with the range of input signals analog-to-digital Converter 4. Block processing and control 5 generates control signals and calculates the Gini coefficient of pressure fluctuations of the washing liquid GPand the Gini coefficient of fluctuation of axial load on the bit GQat any time of drilling. Determine the values of the criteria for the operability of TP= 1 - GPand TQ= 1 - GQspecify reference values criteria TPFLand TQFLwith whom in the drilling process compares the current values of the criteria for the operability of TPand TQ. The display unit 6 is designed for wilt control 7 is used to enter the operator the necessary parameters, changes which accompanied the drilling process, and it changes the type of rock, bit, downhole motor drilling mode, which will allow, for example, when switching to another regime tutu drillability to adjust the current value of the health criteria of rock cutting tool.

A specific example of implementation of the proposed method

During the drilling of ten wells in the Bush 849 Samotlor square Nizhnevartovskneftegaz were used 55 bits, which showed different degrees of wear. At an arbitrary time drilling through every 30 were measured with 30 values of pressure fluctuations and axial loads that make up the series for subsequent calculations of the Gini coefficient.

In a specific example, consider the calculation of the Gini coefficient of fluctuation of axial load on the bit at the end of the dig for a well 30568, spacing, drilling 413-1047 m, the bit wear -3P3. An example calculation of the Gini coefficient are shown in table 1 and Fig.3; the calculation and its result is below.

In the table, the following notation:

N is the number of oscillations of the axial load on the bit obtained from the actual curve by reading through recentf: 100%: 30 = 3,333%;

Qreal- slice record of the fluctuations of the axial load,

presented in the form of statistical series, the numerical values obtained at equal intervals of time (30 s);

Qemphasisstatistical number of the actual curve Qrealpresented in ascending order;

Q% - ordered real curve Qemphasispercentage

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For example, for N=1

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for N = 6

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Table 2 shows sample results for the calculation of Gini coefficients and criteria for the operability of the bit during drilling 14636, 14639, 18022, 18061, 30568 and 37172 ON Nizhnevartovskneftegaz.

The analysis of the results showed that the minimum wear on the arms (B1and the bit bearing (P1) corresponds to a change in criteria TPwithin 0,996... 0,989 and TQ- 0,956...0,950. With increasing wear of the bit, the criterion of efficiency is reduced within the following limits:

when2P2TP= 0,986...0,981, TQ= 0,924...0,905;

when3P3TP= 0,979...0,967, TQ-0,838...0,811;

when4P3TP= 0,960...0,933, TQ= 0,769...0,697.

Thus, the experimental results are taken as reference values triternate criterion TPand TQyou can define the drilling of the first well after 5-6 dolblenii.

The proposed method can find application in the development of automated systems of the drilling process, as well as in other areas, where estimation of a technical condition of objects by measuring the oscillation parameters sufficiently long time series, presented in the form of a stationary random process.

The way to determine the health of the rock cutting tool, including the measurement of pressure fluctuations of the washing liquid on the bit and fluctuations of the axial load on the bit, select the current criteria of efficiency, setting their reference values and determining the health of a rock cutting tool by comparing the current values with their reference values, wherein define the Gini coefficient GPpressure fluctuations of the washing liquid and the Gini coefficient GQfluctuations of the axial load at any point in the drilling, as criteria of health accept the current values of TP= 1 - GPand TQ= 1 - GQthe minimum wear of rock cutting tools and, respectively, the values of the criteria take TPFL= TQFL= 1.

 

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