CN107355216A - A kind of well fluid level ripple recognition methods related based on echo - Google Patents
A kind of well fluid level ripple recognition methods related based on echo Download PDFInfo
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- CN107355216A CN107355216A CN201710522611.6A CN201710522611A CN107355216A CN 107355216 A CN107355216 A CN 107355216A CN 201710522611 A CN201710522611 A CN 201710522611A CN 107355216 A CN107355216 A CN 107355216A
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- 238000000034 method Methods 0.000 title claims abstract description 18
- 239000012530 fluid Substances 0.000 title claims abstract description 15
- 239000007788 liquid Substances 0.000 claims abstract description 35
- 238000000605 extraction Methods 0.000 claims abstract description 6
- 230000008014 freezing Effects 0.000 claims description 20
- 238000007710 freezing Methods 0.000 claims description 20
- 238000004364 calculation method Methods 0.000 claims description 3
- 239000003129 oil well Substances 0.000 abstract description 12
- 238000011161 development Methods 0.000 abstract description 3
- 238000004519 manufacturing process Methods 0.000 abstract description 3
- 238000011084 recovery Methods 0.000 abstract description 2
- 239000007789 gas Substances 0.000 description 11
- 230000004888 barrier function Effects 0.000 description 3
- 238000005259 measurement Methods 0.000 description 3
- 238000013139 quantization Methods 0.000 description 3
- 230000006854 communication Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 239000000203 mixture Substances 0.000 description 2
- 230000000644 propagated effect Effects 0.000 description 2
- 238000004891 communication Methods 0.000 description 1
- 239000012141 concentrate Substances 0.000 description 1
- 238000010219 correlation analysis Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000035772 mutation Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000005236 sound signal Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
Classifications
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- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B47/00—Survey of boreholes or wells
- E21B47/04—Measuring depth or liquid level
- E21B47/047—Liquid level
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- Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Geology (AREA)
- Mining & Mineral Resources (AREA)
- Geophysics (AREA)
- Environmental & Geological Engineering (AREA)
- Fluid Mechanics (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Geochemistry & Mineralogy (AREA)
- Investigating Or Analyzing Materials By The Use Of Ultrasonic Waves (AREA)
Abstract
The invention belongs to well recovery technical field, and in particular to a kind of well fluid level ripple recognition methods related based on echo, comprise the following steps：a）Ping is sent in well head, obtains well head ripple and the doubtful liquid surface wave being reflected back；b）Well head ripple and doubtful liquid surface wave are subjected to denoising respectively；c）Feature extraction is carried out respectively to the well head ripple after denoising and doubtful liquid surface wave with reference to waveform shape；d）Similarity factor ε is set, by echo correlation computations, determines liquid surface wave.Corresponding measuring instrument can be produced according to this method, realize automatic identification dynamic oil level, the working condition of oil well can be grasped in time, raising productivity ratio is very low, adapts to the production development in oil field.
Description
Technical field
The invention belongs to well recovery technical field, and in particular to a kind of well fluid level ripple identification related based on echo
Method.
Background technology
The method that well fluid level detection is carried out using sound wave is commonly referred to as echo method, is mainly situated between according to sound wave in gas
In matter communication process, run into barrier and back wave occurs, calculate the spread speed of sound wave in media as well, and back wave is from barrier
Hinder the time undergone at thing at sound source, the distance between sound source and barrier can be calculated.Can be by sound according to different frequency
Wavelength-division is infrasound（0-20Hz）, audio signal（20-20KHz）, ultrasonic wave（20KHz-1GHz）, very ultrasonic wave（1GHz-
10THz）.
Because tested oil well hole condition is different, liquid level echo is probably that positive waveform is also likely to be negative wave, and echo is with sending out
Ejected wave is not often on same level benchmark, and wherein its waveform is seemed doped with interference noise and small box cupling ripple
Very complicated, main use commonly takes the lookup peak algorithm of extreme value can not accurately find out the position of liquid level echo in industry at present,
Calculating level is set to produce mistake.
When acoustic signals are propagated to underground.Temperature and humidity in well can all impact to acoustic signals, sound wave letter
Number affected by temperature gradually to decay, the influence of humidity can cause the decrease of acoustic signals, reduce signal to noise ratio, influence to survey
Measure result.Further, since well composition of gases within is not quite similar, due to sound wave, spread speed is different in different gas mediums
, it is inaccurate so to also result in calculating.Finally, there are many noise source such as mechanical noise and noise jamming in well, this
A little factors all directly determine that working fluid level signal has noise, and very big error can be thus caused to measurement result.
Field is monitored in oil well liquid level, due to technology restriction, manual operations, manual identified calculate the measurement system of hydrodynamic face amount
Unite as main composition, be not carried out automatic identification dynamic oil level.Meanwhile this measuring method automaticity is low, by artificial
Factor influences greatly, and the error of echo identification is big.Because oil well quantity is very more, workload is very big and human resources are short, right
Collect to obtain data long processing period, it is impossible to grasp the working condition of oil well in time, cause productivity ratio very low, do not adapt to oil
The production development in field.
The content of the invention
For above-mentioned technical problem, the invention provides a kind of well fluid level ripple recognition methods related based on echo,
Sign mutation caused by ambient noise signal and liquid surface wave echo-signal can effectively be distinguished, realize the essence of liquid surface wave
Quasi- identification.
In order to solve the above-mentioned technical problem, the technical solution adopted by the present invention is：
A kind of well fluid level ripple recognition methods related based on echo, comprises the following steps：
a）Ping is sent in well head, obtains well head ripple and the doubtful liquid surface wave being reflected back；
b）Well head ripple and doubtful liquid surface wave are subjected to denoising respectively；
c）Feature extraction is carried out respectively to the well head ripple after denoising and doubtful liquid surface wave with reference to waveform shape；
d）Similarity factor ε is set, by echo correlation computations, determines liquid surface wave.
Preferably, the feature of step c extractions includes：Spacing above freezing, subzero spacing, zero crossing slope.
Preferably, step d correlation computations are as follows,
Well head ripple spacing a above freezing is taken, subzero spacing b, c=a/b is calculated；
Spacing d above freezing and subzero spacing e progress ratio calculation to the doubtful liquid surface wave in waveform obtains f=d/e；
A similarity factor ε is set to obtain closest interval above freezing and subzero interval, and pass through well compared with f/c
The peak point above freezing of mouth ripple and the line slope of subzero peak point and the peak point above freezing of doubtful liquid surface wave and subzero peak point
Line slope carry out the likelihood ratio compared with, realize interpretation and calculate dynamic oil level.
Preferably, the quantity of the ping at least two.
The present invention compared with prior art, has an advantageous effect in that：
Inventor has found that the well head ripple after denoising and liquid level first time echo possess the phase of figure in overall waveform
Like property.Using echo correlation analysis method, extraction includes spacing above freezing, subzero spacing, zero crossing slope can as wave character
Effectively to identify liquid level echo, liquid level echo position is further extracted.Can be true by the position of liquid level echo and sample frequency
Determine the propagation time, hydrodynamic face amount is calculated plus the infrasound speed analyzed.And it can be produced accordingly according to this method
Measuring instrument, realize automatic identification dynamic oil level, can grasp the working condition of oil well in time, it is very low to improve productivity ratio, fits
Answer the production development in oil field.
Brief description of the drawings
Fig. 1 is the theory diagram of the present invention.
Embodiment
The technical scheme in the embodiment of the present invention is clearly and completely described below, it is clear that described embodiment
Only part of the embodiment of the present invention, rather than whole embodiments.Based on the embodiment in the present invention, the common skill in this area
The every other embodiment that art personnel are obtained under the premise of creative work is not made, belong to the model that the present invention protects
Enclose.
Sound wave is set to reach oil well liquid level and smoothly return by designing the suitable pulse sound source of frequency of sound wave distribution,
By the drafting to liquid surface wave waveform, wave character is defined as follows：
Spacing above freezing：Point of the Y value more than zero is as starting point i.e. in waveform, and the point that zero is revert to next Y value terminates, between taking
It is divided into quantization characteristic；
Subzero spacing：The minus point of Y value is used as starting point i.e. in waveform, and the point that zero is revert to next Y value terminates, between taking
It is divided into quantization characteristic；
Zero crossing slope：The peak point at interval i.e. above freezing carries out line with the peak point at subzero interval, takes slope value as quantization
Feature；
The frequency of the sound wave of compressed gas sound source and the diameter of gas outlet increase and reduced, and increase with the volume of compressed gas and subtract
It is small, increase with the pressure for increasing compressed gas and reduce, intensity of acoustic wave is directly proportional to 1/3 power of the volume of compressed gas, with increasing
The pressure of compressed gas increases and increased.Gas outlet diameter 3mm, capacity be 200ml compressed gas, operating pressure 0.3MPa~
During 3MPa, sound source power concentrates on 5Hz or so, disclosure satisfy that test request.
The ping that well fluid level measuring instrument is sent, will when touching liquid level when in oil well internal communication
Reflect, with spread speed of the calculating sound wave pulse of box cupling echo in oil well, liquid level echo calculates and is issued to reflection
Time, by real-time echo relative identifying method, fluid level depth of oil well is calculated.
Application basic step of the related liquid surface wave recognition methods of echo in well fluid level measurement be：
When ping is propagated in oil well, just just reflected if running into profit liquid level, the pulse signal quilt reflected
Microphone in measuring instrument is received, and acoustic signals are converted into electric signal, liquid level oscillogram is drawn, takes well head ripple spacing a above freezing,
Subzero spacing b, is calculated c=a/b, and further the spacing d above freezing and subzero spacing e of the doubtful liquid surface wave in waveform are carried out
Ratio calculation obtains f=d/e, sets a similarity factor ε compared with f/c, obtain closest interval above freezing with it is subzero
Interval, and by the peak point above freezing of well head ripple and the line slope of subzero peak point and the peak point above freezing of doubtful liquid surface wave with
The line slope of subzero peak point carries out the likelihood ratio compared with realizing interpretation and calculate dynamic oil level.
To the result of certain type oil well liquid level extracting echo characteristics of active
Only presently preferred embodiments of the present invention is explained in detail above, but the present invention is not limited to above-described embodiment, at this
In the those of ordinary skill's possessed knowledge of field, various changes can also be made on the premise of present inventive concept is not departed from
Change, various change should be included in the scope of the protection.
Claims (4)
- A kind of 1. well fluid level ripple recognition methods related based on echo, it is characterised in that：Comprise the following steps：a）Ping is sent in well head, obtains well head ripple and the doubtful liquid surface wave being reflected back；b）Well head ripple and doubtful liquid surface wave are subjected to denoising respectively；c）Feature extraction is carried out respectively to the well head ripple after denoising and doubtful liquid surface wave with reference to waveform shape；d）Set like coefficient ε, by echo correlation computations, determine liquid surface wave.
- A kind of 2. well fluid level ripple recognition methods related based on echo according to claim 1, it is characterised in that：Step The feature of rapid c extractions includes：Spacing above freezing, subzero spacing, zero crossing slope.
- A kind of 3. well fluid level ripple recognition methods related based on echo according to claim 1, it is characterised in that：Step Rapid d correlation computations are as follows,Well head ripple spacing a above freezing is taken, subzero spacing b, c=a/b is calculated；Spacing d above freezing and subzero spacing e progress ratio calculation to the doubtful liquid surface wave in waveform obtains f=d/e；A similarity factor ε is set to obtain closest interval above freezing and subzero interval, and pass through well compared with f/c The peak point above freezing of mouth ripple and the line slope of subzero peak point and the peak point above freezing of doubtful liquid surface wave and subzero peak point Line slope carry out the likelihood ratio compared with, realize interpretation and calculate dynamic oil level.
- A kind of 4. well fluid level ripple recognition methods related based on echo according to claim 1, it is characterised in that：Institute State the quantity at least two of ping.
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| CN201710522611.6A CN107355216A (en) | 2017-06-30 | 2017-06-30 | A kind of well fluid level ripple recognition methods related based on echo |
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| CN201710522611.6A CN107355216A (en) | 2017-06-30 | 2017-06-30 | A kind of well fluid level ripple recognition methods related based on echo |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110219641A (en) * | 2019-05-27 | 2019-09-10 | 承德石油高等专科学校 | A kind of well liquid face test device and its test method |
| CN113958310A (en) * | 2021-10-28 | 2022-01-21 | 辽宁弘毅科技有限公司 | Radar-based oil well working fluid level automatic monitoring method and system |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1047361A (en) * | 1989-05-18 | 1990-11-28 | 大庆石油管理局第五采油厂 | Determine the length of empty froth section in machine-pumped oil well method |
| US5285388A (en) * | 1990-07-16 | 1994-02-08 | James N. McCoy | Detection of fluid reflection for echo sounding operation |
| CN102443821A (en) * | 2010-10-15 | 2012-05-09 | 杜金宝 | Liquid level fluctuation monitoring device |
| CN104153763A (en) * | 2013-05-14 | 2014-11-19 | 山东拓普石油装备有限公司 | Dynamic liquid level monitoring and automatic liquid filling system of operating well |
| CN106291710A (en) * | 2016-08-31 | 2017-01-04 | 贵州航天凯山石油仪器有限公司 | Liquid level waveform fuzzy recognition method in gas field well depth is tested |
-
2017
- 2017-06-30 CN CN201710522611.6A patent/CN107355216A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1047361A (en) * | 1989-05-18 | 1990-11-28 | 大庆石油管理局第五采油厂 | Determine the length of empty froth section in machine-pumped oil well method |
| US5285388A (en) * | 1990-07-16 | 1994-02-08 | James N. McCoy | Detection of fluid reflection for echo sounding operation |
| CN102443821A (en) * | 2010-10-15 | 2012-05-09 | 杜金宝 | Liquid level fluctuation monitoring device |
| CN104153763A (en) * | 2013-05-14 | 2014-11-19 | 山东拓普石油装备有限公司 | Dynamic liquid level monitoring and automatic liquid filling system of operating well |
| CN106291710A (en) * | 2016-08-31 | 2017-01-04 | 贵州航天凯山石油仪器有限公司 | Liquid level waveform fuzzy recognition method in gas field well depth is tested |
Non-Patent Citations (1)
| Title |
|---|
| 周泉泉等: "小套管井环空液面监测技术研究", 《长江大学学报（自科版）》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110219641A (en) * | 2019-05-27 | 2019-09-10 | 承德石油高等专科学校 | A kind of well liquid face test device and its test method |
| CN113958310A (en) * | 2021-10-28 | 2022-01-21 | 辽宁弘毅科技有限公司 | Radar-based oil well working fluid level automatic monitoring method and system |
| CN113958310B (en) * | 2021-10-28 | 2023-09-15 | 辽宁弘毅科技有限公司 | Automatic monitoring method and system for working fluid level of oil well based on radar |
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