CN101139986A - Drilling mud pump punch speed and stroke frequency measuring equipment and method thereof - Google Patents
Drilling mud pump punch speed and stroke frequency measuring equipment and method thereof Download PDFInfo
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- CN101139986A CN101139986A CNA2006100307725A CN200610030772A CN101139986A CN 101139986 A CN101139986 A CN 101139986A CN A2006100307725 A CNA2006100307725 A CN A2006100307725A CN 200610030772 A CN200610030772 A CN 200610030772A CN 101139986 A CN101139986 A CN 101139986A
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- 238000005553 drilling Methods 0.000 title claims abstract description 16
- 238000000034 method Methods 0.000 title claims abstract description 14
- 238000004458 analytical method Methods 0.000 claims abstract description 41
- 238000001228 spectrum Methods 0.000 claims abstract description 30
- 230000001133 acceleration Effects 0.000 claims abstract description 10
- 238000001914 filtration Methods 0.000 claims abstract description 6
- 238000010183 spectrum analysis Methods 0.000 claims abstract description 3
- 238000001845 vibrational spectrum Methods 0.000 claims description 12
- 238000004364 calculation method Methods 0.000 claims description 7
- 230000009466 transformation Effects 0.000 claims description 6
- 230000001131 transforming effect Effects 0.000 claims description 2
- 230000003595 spectral effect Effects 0.000 claims 1
- 239000000126 substance Substances 0.000 claims 1
- 230000008569 process Effects 0.000 abstract description 3
- 239000000203 mixture Substances 0.000 abstract description 2
- 230000003321 amplification Effects 0.000 abstract 1
- 238000003199 nucleic acid amplification method Methods 0.000 abstract 1
- 208000006011 Stroke Diseases 0.000 description 14
- 238000011010 flushing procedure Methods 0.000 description 9
- 230000001939 inductive effect Effects 0.000 description 8
- 238000004080 punching Methods 0.000 description 8
- 239000002002 slurry Substances 0.000 description 5
- 230000006698 induction Effects 0.000 description 4
- 238000005259 measurement Methods 0.000 description 4
- 230000010355 oscillation Effects 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 230000008859 change Effects 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 230000005672 electromagnetic field Effects 0.000 description 2
- 230000004044 response Effects 0.000 description 2
- 230000003750 conditioning effect Effects 0.000 description 1
- 239000004020 conductor Substances 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 239000002184 metal Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000003208 petroleum Substances 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
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Abstract
The invention discloses a measuring device for impulse speed and impulse times in well-drilling mud pumps, which comprises an acceleration transducer, a signal acquisition and process circuit, a vibration frequency spectrum analysis circuit, a signal output interface, and a final output for average impulse speed. The invention also discloses a measuring method for impulse speed and impulse times of the well-drilling mud pumps; the measuring device is characterized by the composition that: measuring vibration frequency spectrum signals of a mud pump piston, and performing acquisition, amplification and filtering for the vibration frequency spectrum signals; providing a critical frequency spectrum point; selecting a time window according to the critical frequency points, and performing wavelet analysis, and maintaining low-frequency signals from the analysis; converting the low-frequency signals from time domain to frequency domain; determining whether the low-frequency domain signals are steady waves; if yes, taking the frequency and calculating to gain the average impulse speed, and then, calculating impulse times in accordance with the average impulse speed and corresponding time segments; then, going back to Step III; if the low-frequency domain signals are not steady waves, re-selecting a critical frequency spectrum point before returning to Step III; and after that, outputting the impulse times and average impulse speed received.
Description
Technical Field
The invention relates to a device and a method for measuring the flushing speed and the flushing frequency of a drilling mud pump, in particular to a device and a method for analyzing and calculating the flushing speed and the flushing frequency based on the measurement of the vibration frequency spectrum of the drilling mud pump.
Background
The existing pump stroke sensor adopts a proximity inductive switch and needs to be provided with an inductive sheet. The working principle of the proximity inductive switch is as follows: an oscillator can normally oscillate in an air medium, for example, a metal conductor (induction sheet) is present in an electromagnetic field of the oscillator, and the electromagnetic field energy is lost due to eddy current, which is equivalent to that the quality factor of an oscillation circuit is reduced, thereby causing oscillation to stop. When the oscillator operating current is Imax during normal oscillation and Imin when oscillation is stopped, Δ I = Imax-Imin reflects the presence or absence of the sense piece. The induction sheet is arranged on the flywheel of the slurry pump, and the motion condition of the flywheel simply represents the reciprocating motion condition of the piston of the slurry pump, so that the stroke frequency information of the slurry pump can be obtained by using the proximity induction switch, and the stroke speed can be calculated by using the time interval of a secondary stroke frequency signal. Because the distance between the proximity inductive switch and the inductive sheet is several millimeters, the proximity inductive switch and the inductive sheet move relatively, the requirement on operators is high during installation, time and labor are wasted, and the whole pump stroke sensor is likely to be damaged carelessly.
Disclosure of Invention
The invention aims to provide a mud pump punching speed and punching frequency measuring device without installing an induction sheet.
The invention has the technical scheme that the device for measuring the flushing speed and the flushing frequency of the drilling mud pump comprises: the acceleration sensor is arranged on the mud pump cylinder body and used for measuring a vibration spectrum signal of the mud pump piston; the signal acquisition processing circuit is connected with the acceleration sensor and is used for acquiring, amplifying and filtering the vibration frequency spectrum signal; the vibration frequency spectrum analysis circuit is connected with the signal acquisition and processing circuit, and further comprises: the wavelet analysis module is used for performing wavelet analysis on the signal after signal acquisition and processing according to the provided critical frequency spectrum point and reserving the low-frequency signal obtained by analysis; a transformation module for transforming the low frequency signal in a time domain into a signal in a frequency domain; the judging module is used for judging whether the signal on the frequency domain is a stable wave or not, if not, the critical spectrum point needs to be readjusted, and then the signal returns to the wavelet analysis module; the calculating module is used for calculating the average impact speed under the stable wave frequency under the stable wave condition and calculating the impact times according to the average impact speed and the corresponding time period; and the signal output interface is connected with the output end of the vibration spectrum analysis circuit and is used for outputting the average impact speed.
Preferably, the calculation module adopts the following formula:
wherein, the first and the second end of the pipe are connected with each other,
to average impact velocity, V ti Is the instantaneous impact velocity, V, of the next moment t(i-1) Is the instantaneous impulse speed at the previous moment, i is a natural number above 0, and f (t) is an exponential function with e as the base.
Preferably, the critical spectrum point initially adopted by the wavelet analysis module is 48Hz.
Preferably, the transform module uses a fourier transform.
The invention also provides a method for measuring the flushing speed and the flushing frequency of the drilling mud pump, which is characterized by comprising the following steps of:
(1) Measuring a vibration frequency spectrum signal of the mud pump piston, and collecting, amplifying and filtering the vibration frequency spectrum signal;
(2) Providing a critical spectrum point;
(3) Selecting a time window according to the critical frequency point, performing wavelet analysis, and reserving a low-frequency signal obtained by analysis;
(4) Converting the low-frequency signal from a time domain to a frequency domain;
(5) Is it determined whether the signal in the low frequency domain is a stationary wave?
(6) If the wave is a stable wave, taking out the frequency of the wave at the moment, calculating to obtain an average impact speed, calculating the impact times according to the average impact speed and the corresponding time period, and then returning to the step (3);
(7) If the wave is not a stable wave, a critical spectrum point is reselected, and the step (3) is returned.
(8) And outputting the obtained stroke times and the average stroke speed.
Preferably, the step (6) is calculated by using the following formula:
wherein, the first and the second end of the pipe are connected with each other,
to average impact velocity, V ti Is the instantaneous impact velocity, V, of the next moment t(i-1) Is the instantaneous impulse velocity at the previous moment, i is a natural number above 0, and f (t) is an exponential function with e as the base.
Preferably, the critical spectrum point selected for the first time in the step (2) is 48Hz.
Preferably, the step (4) uses a fourier transform.
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The above and other objects, features and advantages of the present invention will become apparent to those skilled in the art from the following detailed description of the present invention with reference to the accompanying drawings.
FIG. 1 is a block diagram of the apparatus of the present invention;
FIG. 2 is a block diagram of the vibration spectrum analysis circuit of FIG. 1;
FIG. 3 is a flow diagram of an implementation of a vibration spectrum analysis circuit.
Detailed Description
Referring to fig. 1, the device for measuring the stroke speed and the stroke frequency of the drilling mud pump of the invention comprises an acceleration sensor 1, a signal conditioning and sampling circuit 2, a vibration spectrum analysis circuit 3 and a signal output interface 4, wherein the acceleration sensor 1 is used for measuring the vibration spectrum of a piston of the mud pump when the piston vibrates, when the mud pump is started, the reciprocating motion of the piston causes the vibration of a cylinder and a base, and the vibration spectrum measured by the acceleration sensor 1 is very complex because the mass and the natural frequency of various components are different. The frequency spectrum of the output signal of the acceleration sensor 1 is quite rich, and the motion condition of a piston of the mud pump is indirectly reflected.
The signal acquisition processing circuit 2 acquires, amplifies and filters the signals output by the acceleration sensor 1.
The vibration spectrum of the mud pump is very complex, and the stroke frequency (stroke speed) information cannot be directly obtained, so that the invention is different from the measurement by using a proximity inductive switch in that a vibration spectrum analysis circuit 3 is adopted to analyze signals processed by a signal acquisition and processing circuit 2, and the composition of the vibration spectrum analysis circuit 3 is shown in fig. 2 and comprises a wavelet analysis module 31, a transformation module 32, a judgment module 33 and a calculation module 34. The operation of which is described in detail below:
the wavelet analysis module 31 performs wavelet analysis at a first selected critical spectrum point F0, and usually, since the speed range of the slurry pump is 0-1920 stroke/minute, during the first analysis, the critical spectrum point is selected to be 48HZ, and a time window is selected according to the critical frequency point 48HZ to perform wavelet analysis. The width of the "time-frequency window" of the wavelet transform is variable, the order of detection from high frequency to low frequency is chosen, the narrowest time window is chosen first, the highest frequency information is detected and separated. Then, the time window is appropriately widened, and the second highest frequency information in the remaining information is detected. And separating again, widening the time window, detecting the second-time high-frequency information again, and so on. After each wavelet analysis, two parts are output, one part is a high-frequency part, and the other part is a low-frequency part.
The transform module 32 extracts the low frequency part obtained by the wavelet analysis module 31, performs fourier transform analysis, and converts the signal in the time domain into a signal in the frequency domain.
A determination module 33 that determines whether the low-frequency part is a stationary wave? If the phase and the amplitude are repeated and continuous continuously, the wave is a stable wave, and if the phase and the amplitude are not repeated or discontinuous, the wave is an unstable wave; and judging whether the peak height and the peak width after Fourier transformation meet the requirements, wherein the meeting requirements are stable waves.
A calculation module 34 for extracting the frequency F when the stable wave is judged ti To obtain the instantaneous impact velocity V ti The calculation is performed according to the following formula:
V ti ＝60*F ti
the unit of the punching speed is punching/minute, and the punching speed measurement precision is required to be +/-1% Fs due to the standards of the oil department. For this purpose, a base e exponential proprietary filter function f (t) is constructed:
wherein, the first and the second end of the pipe are connected with each other,
to average impact velocity, V ti Is the instantaneous velocity of the latter moment, V t(i-1) Is the instantaneous rush rate at the previous moment. The filter function f (t) is deduced according to the energy change of the impulse speed, and two characteristics of the average impulse speed are ensured, namely stability and response rapidity.
Therefore, the average impulse speed can be obtained and output to the signal output interface 4, and then the wavelet analysis module 31 is returned to perform the next wavelet analysis.
When the decision module 33 decides that the wave is unstable, since the pump speed is varied within the range of 0-1920 bursts/min, the correct instantaneous burst signal may be obtained through multiple wavelet analyses, which requires re-determining the critical spectrum point F0 and then returning to the wavelet analysis module 31.
The average speed calculated as described above is output through the signal output interface 4.
FIG. 3 shows a flow chart of the method of the present invention, which is described in detail below:
step S20, measuring vibration frequency spectrum signals of the mud pump piston, and collecting, amplifying and filtering the vibration frequency spectrum signals;
step S21, selecting a critical spectrum point F0, wherein the stroke speed range of the slurry pump is usually 0-1920 stroke/minute, so that during the first analysis, the critical spectrum point is selected to be 48HZ, and meanwhile, an initial value i =0 is assigned to a counting parameter;
step S22, count value i = i +1;
and S23, selecting a time window according to the critical frequency point F0, and performing wavelet analysis. The width of the "time-frequency window" of the wavelet transform is variable, the order of detection from high to low frequency is chosen, the narrowest time window is chosen first, the highest frequency information is detected and separated. Then, the time window is appropriately widened, and the second highest frequency information in the remaining information is detected. And separating again, widening the time window, detecting the second-time high-frequency information again, and so on. After each wavelet analysis, two parts are output, one part is a high-frequency part, and the other part is a low-frequency part.
Step S24, removing the high frequency part, taking out the low frequency part to perform Fourier transform analysis, and converting the signal in the time domain into the signal in the frequency domain.
Step S25, determine whether the low frequency part is a stationary wave? If the phase and the amplitude are repeated and continuous continuously, the wave is a stable wave, and if the phase and the amplitude are not repeated or discontinuous, the wave is an unstable wave; and judging whether the peak height and the peak width after Fourier transformation meet the requirements, wherein the meeting requirements are stable waves.
Step S26, if the wave is determined to be a stationary wave, extracting the frequency F at that time ti That is to say the instantaneous rush rate, according toThe following formula is calculated:
V ti ＝60*F ti
since the Ministry of Petroleum requires that the impulse measurement accuracy be. + -.1% Fs. For this purpose, an exponential filter function f (t) with base e is constructed:
whereinTo average impact velocity, V ti Is the instantaneous velocity of the latter moment, V t(i-1) Is the instantaneous rush rate at the previous moment.
The filter function f (t) is deduced according to the energy change of the impulse speed, and two characteristics of the average impulse speed are ensured, namely stability and response rapidity.
Thus, the average impact velocity can be obtained, and then the process returns to step S22, and the counting unit i accumulates once and then returns to step S23 to perform wavelet analysis.
In step S27, if the result of the determination in step S25 is not a stable wave, since the pump speed varies from 0 to 1920 rpm, it may need to be wavelet analyzed many times to obtain a correct instantaneous speed signal, which needs to re-determine F0, and then it returns to step S22 to increase the count value by i +1, and then the process proceeds to step S23 again to perform wavelet analysis.
And step S28, outputting the average punching speed obtained by the calculation, and calculating the punching times according to the average punching speed and the corresponding time period.
The previous description of the preferred embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles described herein may be applied to other embodiments without the use of the inventive faculty. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (8)
1. A drilling mud pump stroke speed and stroke frequency determination apparatus comprising:
the acceleration sensor is arranged on the mud pump cylinder body and is used for measuring a vibration spectrum signal of the mud pump piston;
the signal acquisition processing circuit is connected with the acceleration sensor and is used for acquiring, amplifying and filtering the vibration frequency spectrum signal;
the vibration frequency spectrum analysis circuit is connected with the signal acquisition and processing circuit, and further comprises:
the wavelet analysis module is used for carrying out wavelet analysis on the signal after signal acquisition and processing according to the provided critical frequency spectrum point and reserving the low-frequency signal obtained by analysis;
a transformation module for transforming the low frequency signal in a time domain into a signal in a frequency domain;
the judging module is used for judging whether the signal on the frequency domain is a stable wave or not, if not, the critical spectrum point needs to be readjusted, and then the signal returns to the wavelet analysis module;
the calculation module is used for calculating the average impact speed under the stable wave frequency under the condition of stable waves and calculating the impact times according to the average impact speed and the corresponding time period;
and the signal output interface is connected with the output end of the vibration spectrum analysis circuit and is used for outputting the average impact speed and the impact frequency.
2. The drilling mud pump stroke rate and frequency determination apparatus of claim 1 wherein said calculation module employs the following equation:
wherein, the first and the second end of the pipe are connected with each other,to average impact velocity, V ti Is the instantaneous impact velocity, V, of the next moment t(i-1) Is the instantaneous impulse speed at the previous moment, i is a natural number above 0, and f (t) is an exponential function with e as the base.
3. A drilling mud pump stroke rate and frequency determination apparatus as claimed in claim 1 or claim 2 wherein the initial critical spectrum point employed by the wavelet analysis module is 48Hz.
4. The drilling mud pump stroke rate and frequency determination apparatus of claim 3 wherein said transformation module employs a Fourier transform.
5. A method for measuring the stroke speed and the stroke frequency of a drilling mud pump is characterized by comprising the following steps:
(1) Measuring a vibration frequency spectrum signal of the mud pump piston, and collecting, amplifying and filtering the vibration frequency spectrum signal;
(2) Providing a critical spectrum point;
(3) Selecting a time window according to the critical frequency point, performing wavelet analysis, and reserving a low-frequency signal obtained by analysis;
(4) Converting the low-frequency signal from a time domain to a frequency domain;
(5) Is it determined whether the signal in the low frequency domain is a stationary wave?
(6) If the wave is a stable wave, taking out the frequency of the wave at the moment, calculating to obtain an average impact speed, calculating the impact times according to the average impact speed and the corresponding time period, and then returning to the step (3);
(7) If the wave is not a stable wave, reselecting a critical spectrum point, and returning to the step (3);
(8) And outputting the obtained stroke times and the average stroke speed.
6. The method of drilling mud pump stroke rate and rate determination of claim 5 wherein said step (6) is calculated using the formula:
wherein the content of the first and second substances,
to average impact velocity, V ti Is the instantaneous impact velocity, V, of the next moment t(i-1) Is the instantaneous impulse speed at the previous moment, i is a natural number above 0, and f (t) is an exponential function with e as the base.
7. A method of seed drilling mud pump stroke rate and frequency determination as claimed in claim 5 or claim 6, wherein the critical spectral point first selected in step (2) is 48Hz.
8. The method of claim 7, wherein step (4) uses a fourier transform.
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| CNB2006100307725A CN100557242C (en) | 2006-09-04 | 2006-09-04 | A kind of drilling mud pump punch speed and stroke frequency measuring equipment and method |
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| CNB2006100307725A CN100557242C (en) | 2006-09-04 | 2006-09-04 | A kind of drilling mud pump punch speed and stroke frequency measuring equipment and method |
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| CN101139986A true CN101139986A (en) | 2008-03-12 |
| CN100557242C CN100557242C (en) | 2009-11-04 |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103148162A (en) * | 2013-03-12 | 2013-06-12 | 三一汽车起重机械有限公司 | Crane, and vibration self-stabilizing control method, device and system |
| CN104792601A (en) * | 2015-03-31 | 2015-07-22 | 中国石油大学(华东) | Online filtering device of drilling mud |
| CN105570113A (en) * | 2016-03-02 | 2016-05-11 | 中国石油集团渤海钻探工程有限公司 | Remote online monitoring system for slurry pump |
| CN106437687A (en) * | 2016-08-31 | 2017-02-22 | 中国船舶重工集团公司第七八研究所 | While-drilling mud impulse signal noise reduction method based on optimal wavelet packet decomposition tree |
| CN110926564A (en) * | 2019-12-04 | 2020-03-27 | 湖南五新隧道智能装备股份有限公司 | Pumping frequency and volume determining method and system and pumping frequency determining device |
-
2006
- 2006-09-04 CN CNB2006100307725A patent/CN100557242C/en not_active Expired - Fee Related
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103148162A (en) * | 2013-03-12 | 2013-06-12 | 三一汽车起重机械有限公司 | Crane, and vibration self-stabilizing control method, device and system |
| CN103148162B (en) * | 2013-03-12 | 2015-08-12 | 三一汽车起重机械有限公司 | Vibration is from steady controlling method, device and system and hoist |
| CN104792601A (en) * | 2015-03-31 | 2015-07-22 | 中国石油大学(华东) | Online filtering device of drilling mud |
| CN105570113A (en) * | 2016-03-02 | 2016-05-11 | 中国石油集团渤海钻探工程有限公司 | Remote online monitoring system for slurry pump |
| CN106437687A (en) * | 2016-08-31 | 2017-02-22 | 中国船舶重工集团公司第七八研究所 | While-drilling mud impulse signal noise reduction method based on optimal wavelet packet decomposition tree |
| CN110926564A (en) * | 2019-12-04 | 2020-03-27 | 湖南五新隧道智能装备股份有限公司 | Pumping frequency and volume determining method and system and pumping frequency determining device |
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| Publication number | Publication date |
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| CN100557242C (en) | 2009-11-04 |
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Effective date of registration: 20080222 Address after: No. 1769, Pu Xing highway, Shanghai, Minhang District Applicant after: Shanghai God opened petrochemical equipment Limited by Share Ltd Co-applicant after: Shanghai Shenkai Petroleum Sci-Tech Co., Ltd. Address before: No. 1769, Pu Xing highway, Shanghai, Minhang District Applicant before: Shanghai Shen Kai Petrochemical Equipment Group Co., Ltd. Co-applicant before: Shanghai Shenkai Petroleum Sci-Tech Co., Ltd. |
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