CN1320815A - In-line recognition method for multi-phase (oil, gas and water) flow type - Google Patents
In-line recognition method for multi-phase (oil, gas and water) flow type Download PDFInfo
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- CN1320815A CN1320815A CN 01115235 CN01115235A CN1320815A CN 1320815 A CN1320815 A CN 1320815A CN 01115235 CN01115235 CN 01115235 CN 01115235 A CN01115235 A CN 01115235A CN 1320815 A CN1320815 A CN 1320815A
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Abstract
本发明涉及一种油气水多相流流型在线识别方法,其特点是将采集的信号进行自适应滤波,对经滤波后的信号提取特征量,并根据特征量进行流型识别,有效地提高了流型在线识别的实时性,设计了流型识别规则判断法与模式识别方法的融合,可利用各种测量信号中的多种信息,提高了流型识别的准确性。
The invention relates to an online identification method of oil-gas-water multiphase flow pattern, which is characterized in that the collected signal is adaptively filtered, the characteristic quantity is extracted from the filtered signal, and the flow pattern identification is carried out according to the characteristic quantity, which effectively improves the In order to ensure the real-time performance of online flow pattern recognition, the fusion of flow pattern recognition rule judgment method and pattern recognition method is designed, which can use a variety of information in various measurement signals to improve the accuracy of flow pattern recognition.
Description
The present invention relates to a kind of flow type identification method, the ONLINE RECOGNITION method of oil gas water multiphase flow type in specifically a kind of level or the tipping tube.
Traditional flow type identification method utilizes on-the-spot flow parameter to determine flow pattern mainly according to flow regime map or change of flow relational expression.Because flow parameter needs the problem that solves often in production reality, so classic method can't be used widely.The method that adopts is according to pressure differential pressure or the isoparametric wave process of void fraction, to utilize the pattern-recognition scheduling theory to realize the Intelligent Recognition of flow pattern at present.Can obtain high recognition in the air water diphasic flow system of this method in the minimum velocity scope.But, because the difference of oil, water rerum natura and have the relative distributional pattern of multiple profit in the oil gas water multiphase, the moving process of oil gas water multiphase than air water diphasic flow process complexity many, the intelligent identification Method of air water two phase flow pattern can't be generalized in the oil gas water multiphase.There are two distinct issues in present flow type identification method research: the information source of (one) flow pattern identification is single, and promptly the wave process according to a kind of parameter (pressure differential pressure or void fraction) carries out, so reliability, repeatability and accuracy rate are all lower; (2) single to the feature extraction of information source (parameter fluctuation process) and analytical technology or method, can not obtain to reflect the feature of flow pattern rule more comprehensively, promptly can not make full use of the information that obtains of measuring.
The objective of the invention is to overcome the defective of above-mentioned prior art, a kind of in-line recognition method for multi-phase (oil, gas and water) flow type is proposed, according to pressure and pressure difference signal feature, designed the flow pattern recognition rule, improved the real-time of flow pattern identification effectively, designed the fusion method of flow pattern recognition rule and mode identification method simultaneously, utilized the information in the various measuring-signals as much as possible, made the accuracy of identification and applicability step major step forward.
The in-line recognition method for multi-phase (oil, gas and water) flow type that the present invention takes at first picks up the flow parameter signal of oil and gas pipes with sensor, carry out according to the following steps then:
1) carry out the auto adapted filtering of signal: designed the adaptive filter algorithm of signal, to measuring-signal--1 pressure and 1 pressure difference signal carry out filtering, to improve the signal to noise ratio (S/N ratio) of measuring-signal.
2) to through 1) pressure and pressure difference signal after handling carry out Characteristic Extraction: adopted statistics, spectrum analysis and determinacy chaos method.To pressure signal, Fourier power spectrum, root mean square and fractal dimension characteristic quantity have been extracted; To pressure difference signal, the characteristic quantities such as general power spectrum of average, Fourier power spectrum and 0-10Hz have been extracted.
3) carry out flow pattern identification:
If the characteristic parameter of pressure and pressure difference signal satisfies a kind of recognition rule of flow pattern, then can judge immediately:
The size of composing according to the general power of pressure-difference fluctuation is divided into two kinds of situations: annular flow, intermittent flow and intermittent flow, bubble flow, stratified flow
(if the general power spectrum＞0.02 of pressure-difference fluctuation), so
(1) this flow operating mode belongs to annular flow or intermittent flow, otherwise,
(2) this flow operating mode belongs to intermittent flow or stratified flow or bubble flow
Every kind of situation is at first applied mechanically the rule that flow pattern is discerned, satisfy a flow pattern rule, can be defined as the flow pattern kind of this operating mode;
To (1) group
If 1. satisfy:
[(time equal pressure reduction 〉=1.270) and (root mean square pressure reduction≤(equal pressure reduction during 1.450+ * (equal pressure reduction of 1.956-0.525 * time)))]
So, this flow operating mode belongs to annular flow;
If 2. satisfy:
[(time equal pressure reduction＜1.150) or (root mean square pressure reduction 〉=-0.850+0.829 * time equal pressure reduction)]
So, this flow operating mode belongs to intermittent flow;
Organize (2):
If 1. satisfy:
[general power spectrum 〉=(equal pressure reduction during 0.796+ * (the equal pressure reduction of 2.052+ * (the equal pressure reduction of 1.714-0.450 * time))) of pressure-difference fluctuation]
So, this flow operating mode belongs to intermittent flow;
If 2. satisfy:
(fractal dimension of pressure surge 〉=1.800)
So, this flow operating mode belongs to stratified flow;
Otherwise enter following step.
4) adopt study vector quantization pattern classifier identification flow pattern: utilize the input feature vector of the fourier spectra of pressure surge process as sorter, calculate the distance of this input feature vector and quantization vector, seek minimum value wherein then, the attribute of minimum value institute corresponding templates quantization vector is exactly the flow pattern classification of this operating mode.
This method has improved the real-time of flow pattern ONLINE RECOGNITION effectively, has designed the fusion of flow pattern recognition rule determining method and mode identification method, can utilize the multiple information in the various measuring-signals, has improved the accuracy of flow pattern identification.
Fig. 1 is the transducer arrangements figure of flow pattern identification of the present invention.
Fig. 2 is the block diagram of flow pattern ONLINE RECOGNITION method of the present invention.
Below in conjunction with drawings and Examples method of the present invention is described further.
Referring to Fig. 1, Fig. 2.A piezoresistive pressure sensor 2 and a condenser type differential pressure pickup 3 on pipeline 1, have been arranged.Pressure-measuring-point is positioned at the upside of pipeline 1, and the differential pressure measurement segment length is 200mm.What pressure transducer was measured is wall static pressure power, and range is 0-300KPa.The range of differential pressure pickup is 0-1.5KPa.The range of pressure transducer can be selected according to actual conditions.
1) to the pressure and the pressure difference signal of operating mode to be identified, at first carries out pre-service, comprise average and filtering.
2) extract various characteristic quantities.To pressure signal, extract Fourier power spectrum, root mean square and fractal dimension feature; To pressure difference signal, extract the general power spectrum of average, Fourier power spectrum and 0-10Hz.
3) size of composing according to the general power of pressure-difference fluctuation is divided into two kinds of situations: annular flow, intermittent flow and intermittent flow, bubble flow, stratified flow.
(if the general power spectrum＞0.02 of pressure-difference fluctuation), so
(1) this flow operating mode belongs to annular flow or intermittent flow, otherwise,
(2) this flow operating mode belongs to intermittent flow or stratified flow or bubble flow
4) every kind of situation is at first applied mechanically the rule that flow pattern is discerned, satisfy the flow pattern kind that certain flow pattern rule can be defined as this operating mode.End of identification.
Organize (1):
If 1. satisfy:
[(time equal pressure reduction 〉=1.270) and (root mean square pressure reduction≤(equal pressure reduction during 1.450+ * (equal pressure reduction of 1.956-0.525 * time)))]
So, this flow operating mode belongs to annular flow
If 2. satisfy:
[(time equal pressure reduction＜1.150) or (root mean square pressure reduction 〉=-0.850+0.829 * time equal pressure reduction)]
So, this flow operating mode belongs to intermittent flow
Organize (2):
If 1. satisfy:
[general power spectrum 〉=(equal pressure reduction during 0.796+ * (the equal pressure reduction of 2.052+ * (the equal pressure reduction of 1.714-0.450 * time))) of pressure-difference fluctuation]
So, this flow operating mode belongs to intermittent flow
If 2. satisfy:
(fractal dimension of pressure surge 〉=1.800)
So, this flow operating mode belongs to stratified flow
5), adopt pattern classifier to carry out flow pattern identification and get final product if do not satisfy these rules.
Table 1 is the application result of method of the present invention in reality.Oil gas water multiphase in horizontal tube and low-angle (in ± 2 degree) tipping tube is moving, flow parameter scope: apparent oil speed 0.05～0.51m/s, superficial gas velocity: 0.02～50.6m/s, apparent water speed: 0.05～1.51m/s, oil content 0～80%.Recognition result is that the discrimination of annular flow is 92.5%, the discrimination 96.9% of intermittent flow, the discrimination 90.4% of stratified flow, the discrimination 90.2% of bubble flow.
Table 1
| The flow pattern kind | The recognition sample number | Identification is correct | Discrimination |
| Annular flow intermittent flow stratified flow bubble flow | ????200 ????400 ????50 ????60 | ????185 ????377 ????47 ????55 | ??92.5％ ??96.8％ ??90.4％ ??90.2％ |
Claims (2)
1, a kind of in-line recognition method for multi-phase (oil, gas and water) flow type at first picks up the flow parameter signal of oil and gas pipes with sensor, it is characterized in that:
1) carries out the auto adapted filtering of signal
To the flow parameter signal that picks up---1 pressure and 1 pressure difference signal carry out filtering;
2) pressure and pressure difference signal after handling through auto adapted filtering are extracted characteristic quantity
Extract Fourier power spectrum, root mean square and fractal dimension characteristic quantity for pressure signal; For pressure difference signal, extract the characteristic quantities such as general power spectrum of average, Fourier power spectrum and 0-10Hz;
3) carrying out flow pattern identification judges
If the characteristic parameter amount of pressure and pressure difference signal satisfies a kind of recognition rule of flow pattern, then can judge immediately, otherwise enter following step;
4) adopt study vector quantization pattern classifier identification flow pattern
Utilize the input feature vector amount of the fourier spectra of pressure surge process as sorter, calculate the distance of this input feature vector amount and quantization vector, seek minimum value wherein, the attribute of minimum value institute corresponding templates quantization vector is exactly the flow pattern classification of this operating mode.
2. in-line recognition method for multi-phase (oil, gas and water) flow type according to claim 1, the characteristic parameter amount of described pressure and pressure difference signal satisfies a kind of identification of flow pattern and judges it is that the size of composing according to the general power of pressure-difference fluctuation is divided into two kinds of situations: annular flow, intermittent flow and intermittent flow, bubble flow, stratified flow
(if the general power spectrum＞0.02 of pressure-difference fluctuation), so
(1) this flow operating mode belongs to annular flow or intermittent flow, otherwise,
(2) this flow operating mode belongs to intermittent flow or stratified flow or bubble flow
Every kind of situation is at first applied mechanically the rule that flow pattern is discerned, satisfy a flow pattern rule, can be defined as the flow pattern kind of this operating mode;
To (1) group
If 1. satisfy:
[(time equal pressure reduction 〉=1.270) and (root mean square pressure reduction≤(equal pressure reduction during 1.450+ * (equal pressure reduction of 1.956-0.525 * time)))]
So, this flow operating mode belongs to annular flow;
If 2. satisfy:
[(time equal pressure reduction＜1.150) or (root mean square pressure reduction 〉=-0.850+0.829 * time equal pressure reduction)]
So, this flow operating mode belongs to intermittent flow; Organize (2):
If 1. satisfy:
[general power spectrum 〉=(equal pressure reduction during 0.796+ * (the equal pressure reduction of 2.052+ * (the equal pressure reduction of 1.714-0.450 * time))) of pressure-difference fluctuation]
So, this flow operating mode belongs to intermittent flow;
If 2. satisfy:
(fractal dimension of pressure surge 〉=1.800)
So, this flow operating mode belongs to stratified flow;
If do not satisfy these rules, then adopt study vector quantization pattern classifier to carry out flow pattern identification.
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101324186B (en) * | 2008-07-04 | 2012-05-23 | 西安交通大学 | Device for measuring oil, gas, water three phase flow containing rate |
| CN102620905A (en) * | 2012-03-29 | 2012-08-01 | 中国计量学院 | Device and method for identifying fluid type of high-pressure fluid in pipeline during rapid pressure change |
| CN101952713B (en) * | 2008-02-11 | 2012-11-21 | 普拉德研究及开发股份有限公司 | System and method for measuring properties of liquid in multiphase mixtures using two open ended coaxial probes with different sensitivity depths |
| CN102878431A (en) * | 2011-07-12 | 2013-01-16 | 中国海洋石油总公司 | On-line monitoring method for flow pattern of multi-phase flow in oil and gas pipeline of offshore oilfield |
| US8490541B2 (en) | 2007-03-20 | 2013-07-23 | Koninlijke Philips N.V. | Method for determining at least one suitable parameter for a process of making a beverage |
| CN107907169A (en) * | 2017-12-22 | 2018-04-13 | 苏州捷研芯纳米科技有限公司 | Flow-measuring method and flow measurement device for differential pressure flow sensor |
| CN108844959A (en) * | 2018-04-12 | 2018-11-20 | 西安交通大学 | The measurement of gas-liquid two-phase ring-type flow section phase content and modification method in a kind of round tube |
| CN115165792A (en) * | 2022-06-24 | 2022-10-11 | 宝腾智能润滑技术(东莞)有限公司 | Method and device for detecting gas-liquid two-phase flow state in pipeline |
-
2001
- 2001-04-30 CN CNB011152354A patent/CN1146723C/en not_active Expired - Lifetime
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8490541B2 (en) | 2007-03-20 | 2013-07-23 | Koninlijke Philips N.V. | Method for determining at least one suitable parameter for a process of making a beverage |
| US9339143B2 (en) | 2007-03-20 | 2016-05-17 | Koninklijke Philips N.V. | Method for determining at least one suitable parameter for a process of making a beverage |
| CN101952713B (en) * | 2008-02-11 | 2012-11-21 | 普拉德研究及开发股份有限公司 | System and method for measuring properties of liquid in multiphase mixtures using two open ended coaxial probes with different sensitivity depths |
| CN101324186B (en) * | 2008-07-04 | 2012-05-23 | 西安交通大学 | Device for measuring oil, gas, water three phase flow containing rate |
| CN102878431A (en) * | 2011-07-12 | 2013-01-16 | 中国海洋石油总公司 | On-line monitoring method for flow pattern of multi-phase flow in oil and gas pipeline of offshore oilfield |
| CN102878431B (en) * | 2011-07-12 | 2014-03-12 | 中国海洋石油总公司 | On-line monitoring method for flow pattern of multi-phase flow in oil and gas pipeline of offshore oilfield |
| CN102620905A (en) * | 2012-03-29 | 2012-08-01 | 中国计量学院 | Device and method for identifying fluid type of high-pressure fluid in pipeline during rapid pressure change |
| CN107907169A (en) * | 2017-12-22 | 2018-04-13 | 苏州捷研芯纳米科技有限公司 | Flow-measuring method and flow measurement device for differential pressure flow sensor |
| CN108844959A (en) * | 2018-04-12 | 2018-11-20 | 西安交通大学 | The measurement of gas-liquid two-phase ring-type flow section phase content and modification method in a kind of round tube |
| CN108844959B (en) * | 2018-04-12 | 2020-05-22 | 西安交通大学 | A method for measuring and correcting phase holdup of gas-liquid two-phase annular flow cross-section in a circular tube |
| CN115165792A (en) * | 2022-06-24 | 2022-10-11 | 宝腾智能润滑技术(东莞)有限公司 | Method and device for detecting gas-liquid two-phase flow state in pipeline |
| CN115165792B (en) * | 2022-06-24 | 2023-09-29 | 宝腾智能润滑技术(东莞)有限公司 | Method and device for detecting gas-liquid two-phase flow state in pipeline |
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| CN1146723C (en) | 2004-04-21 |
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