CN106227167A - A kind of method for early warning of production of hydrocarbons equipment running status - Google Patents
A kind of method for early warning of production of hydrocarbons equipment running status Download PDFInfo
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- CN106227167A CN106227167A CN201610657614.6A CN201610657614A CN106227167A CN 106227167 A CN106227167 A CN 106227167A CN 201610657614 A CN201610657614 A CN 201610657614A CN 106227167 A CN106227167 A CN 106227167A
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- early warning
- value
- parameter value
- production
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
- G05B19/4183—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by data acquisition, e.g. workpiece identification
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/31—From computer integrated manufacturing till monitoring
- G05B2219/31282—Data acquisition, BDE MDE
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The present invention relates to the method for early warning of a kind of production of hydrocarbons equipment running status, described method includes: arrange corresponding sensor on production equipment, for gathering the corresponding parameter value producing equipment;The real-time parameter value collected is analyzed;According to analysis result, the running status of the equipment of production is carried out early warning.
Description
The application is divisional application, and original application day is December in 2013 30, Application No. 201310745760.0, invention
Entitled: the method for early warning of a kind of production of hydrocarbons equipment running status.
Technical field
The present invention relates to oil and gas and produce the operational management field of equipment, particularly to a kind of production of hydrocarbons equipment
The method for early warning of running status.
Background technology
The method for early warning of production of hydrocarbons equipment running status is by the instrument and meter being arranged on production equipment and complete set
Inspection software and respective algorithms composition.Along with the rise of technology of Internet of things, for producing the monitoring running state of equipment, alarm
It is achieved Deng in part oil field, but when alarm occurs, production of hydrocarbons has been caused certain loss.
Therefore, field instrumentation instrument is used to combine computer software and algorithm, it is achieved to produce equipment running status trend
Analyze in advance and early warning, for improving the reliability of production of hydrocarbons equipment, promote safety operation level, reduce equipment loss and event
The loss that barrier causes is most important.The most how to realize producing trend analysis and the early warning of equipment running status, be to produce at present
The key technical problem that urgent need is to be solved.
Summary of the invention
For solving the problems referred to above, the present invention proposes the method for early warning of a kind of production of hydrocarbons equipment running status, solves oil gas
In production process, the alarm producing equipment running status always occurs in the problem after accident.
For achieving the above object, the invention provides the method for early warning of a kind of production of hydrocarbons equipment running status, described side
Method includes:
Corresponding sensor is set on production equipment, for gathering the corresponding parameter value producing equipment;
The real-time parameter value collected is analyzed;
According to analysis result, the running status of the equipment of production is carried out early warning.
Optionally, in an embodiment of the present invention, the step that the described real-time parameter value to collecting is analyzed is concrete
Including:
Early warning upper lower limit value is set between the upper lower limit value of overload alarm value;
Parameter-beyond-limit early warning allocation list filters out according to early warning identification field and needs parameter ID of early warning, parameter corresponding
Device id, early warning upper lower limit value, data label;Parameter value is taken by data label;
Parameter value is compared with described early warning upper lower limit value.
Optionally, in an embodiment of the present invention, described according to analysis result to produce equipment running status carry out pre-
Alert step includes: when parameter value is beyond the early warning upper lower limit value of configuration, when not reaching the limit value of overload alarm value, then touch
Send out early warning;Otherwise, parameter value is considered as normal value.
Optionally, in an embodiment of the present invention, the step that the described real-time parameter value to collecting is analyzed is concrete
Including:
Obtain current parameter value and previous parameter value;
Change between contrast current parameter value and previous parameter value.
Optionally, in an embodiment of the present invention, described according to analysis result to produce equipment running status carry out pre-
Alert step specifically includes:
Rate of change between described current parameter value and described previous parameter value exceedes the restriction of rate of change, then trigger pre-
Alert;Otherwise, current parameter value is considered as normal value.
Optionally, in an embodiment of the present invention, the step that the described real-time parameter value to collecting is analyzed is concrete
Including:
Early warning upper lower limit value is set between the upper lower limit value of overload alarm value;
Parameters variation straight line or conic section is simulated according to the parameter value collected;
Last knee value of the value that gets parms from the parameter value collected change;
According to described Parameters variation straight line or conic section, obtain from described knee value to early warning higher limit or early warning lower limit
Time needed for value.
Optionally, in an embodiment of the present invention, described according to analysis result to produce equipment running status carry out pre-
Alert step specifically includes:
When the time needed for described knee value to early warning higher limit or early warning lower limit is less than given threshold value, then trigger pre-
Alert;Otherwise, the parameter value collected is normal value.
Optionally, in an embodiment of the present invention, the step that the described real-time parameter value to collecting is analyzed is concrete
Including:
Early warning upper lower limit value is set between the upper lower limit value of overload alarm value;
Use by the time period be the difference between length, early warning upper lower limit value be the moving window that width forms, to work as
The front time is that the parameter value in the moving window of end time is counted and added up.
Optionally, in an embodiment of the present invention, described according to analysis result to produce equipment running status carry out pre-
Alert step specifically includes:
The ratio counted when the parameter value in described moving window is less than given threshold value, then trigger early warning;Otherwise, collect
Parameter value be normal value.
Technique scheme has the advantages that technical scheme achieves production of hydrocarbons equipment and runs shape
The monitoring of state, early warning and trend analysis, so, can be carried out integrative trend analysis in conjunction with multiple parameters and produce before accident occurs
Raw early warning, carries out look-ahead to the operation conditions of the equipment of production.Adjust the distance farther out, unattended oilfield operation district, well
The production of hydrocarbons equipment such as the rod-pumped well of field, screw bolt well, flowing well, conventional gas well, sulfide hydrogen gas well, electric pump well runs shape
State, carries out early warning for several big class parameters such as pressure, temperature, operating mode, flow, safety, it is achieved to its real-time monitoring and operation shape
The trend analysis of state, after early warning occurs, for the early warning not processed in time, can detect further according to the buffer time of configuration and set
Standby running status changes, if stably returned in normal range, early warning can be cancelled automatically;If within buffer time, no
Insert new record, only update pre-warning time.Use the present invention can effectively reduce security incident, reduce maintenance cost, improve raw
Produce the treatment effeciency running dependent failure.
Accompanying drawing explanation
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
In having technology to describe, the required accompanying drawing used is briefly described, it should be apparent that, the accompanying drawing in describing below is only this
Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, it is also possible to
Other accompanying drawing is obtained according to these accompanying drawings.
Fig. 1 is the method for early warning flow chart of a kind of production of hydrocarbons equipment running status that the present invention proposes;
Fig. 2 is one of the data analysis collected in the method for early warning of the present embodiment and early warning schematic diagram;
Fig. 3 is the data analysis collected in the method for early warning of the present embodiment and the two of early warning schematic diagram;
Fig. 4 is the data analysis collected in the method for early warning of the present embodiment and the three of early warning schematic diagram;
Fig. 5 is the data analysis collected in the method for early warning of the present embodiment and the four of early warning schematic diagram;
Detailed description of the invention
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Describe wholely.Obviously, described embodiment is only a part of embodiment of the present invention rather than whole embodiments.Based on
Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under not making creative work premise
Embodiment, broadly falls into the scope of protection of the invention.
There is the difference of the following aspects in early warning (Alert) and report to the police (Alarm):
Early warning betides in advance, reports to the police and betides afterwards;
Early warning is generally basede on considering of multiple parameter, and reports to the police often for single or a small number of parameters combination;
Early warning needs to consider the factors such as alert, alert source, alert element, police million, alert limit, police's degree, and its result has uncertainty.
Realize from technology, report to the police and generally tend to take the method for analytical model, and early warning more employing artificial intelligence
Analysis method.
Based on above-mentioned analysis, the present invention provides the method for early warning of production of hydrocarbons equipment running status, uses qualitatively and quantitatively
Analyze the mode combined, identify the classification of risk, degree, reason and development tendency thereof in advance, and by regulated procedure
To problem the being proposed for property treatment measures that will occur, in order to take precautions against in time, control and dissolve risk.
As it is shown in figure 1, the method for early warning flow chart of a kind of production of hydrocarbons equipment running status proposed for the present invention.Described
Method includes:
Step 101): corresponding sensor is set on production equipment, for gathering the corresponding parameter value producing equipment;
Step 102): the real-time parameter value collected is analyzed;
Step 103): according to analysis result, the running status of the equipment of production is carried out early warning.
Optionally, in an embodiment of the present invention, the step that the described real-time parameter value to collecting is analyzed is concrete
Including:
Early warning upper lower limit value is set between the upper lower limit value of overload alarm value;
Parameter-beyond-limit early warning allocation list filters out according to early warning identification field and needs parameter ID of early warning, parameter corresponding
Device id, early warning upper lower limit value, data label;Parameter value is taken by data label;
Parameter value is compared with described early warning upper lower limit value.
Optionally, in an embodiment of the present invention, described according to analysis result to produce equipment running status carry out pre-
Alert step includes: when parameter value is beyond the early warning upper lower limit value of configuration, when not reaching the limit value of overload alarm value, then touch
Send out early warning;Otherwise, parameter value is considered as normal value.
Optionally, in an embodiment of the present invention, the step that the described real-time parameter value to collecting is analyzed is concrete
Including:
Obtain current parameter value and previous parameter value;
Change between contrast current parameter value and previous parameter value.
Optionally, in an embodiment of the present invention, described according to analysis result to produce equipment running status carry out pre-
Alert step specifically includes:
Rate of change between described current parameter value and described previous parameter value exceedes the restriction of rate of change, then trigger pre-
Alert;Otherwise, current parameter value is considered as normal value.
Optionally, in an embodiment of the present invention, the step that the described real-time parameter value to collecting is analyzed is concrete
Including:
Early warning upper lower limit value is set between the upper lower limit value of overload alarm value;
Parameters variation straight line or conic section is simulated according to the parameter value collected;
Last knee value of the value that gets parms from the parameter value collected change;
According to described Parameters variation straight line or conic section, obtain from described knee value to early warning higher limit or early warning lower limit
Time needed for value.
Optionally, in an embodiment of the present invention, described according to analysis result to produce equipment running status carry out pre-
Alert step specifically includes:
When the time needed for described knee value to early warning higher limit or early warning lower limit is less than given threshold value, then trigger pre-
Alert;Otherwise, the parameter value collected is normal value.
Optionally, in an embodiment of the present invention, the step that the described real-time parameter value to collecting is analyzed is concrete
Including:
Early warning upper lower limit value is set between the upper lower limit value of overload alarm value;
Use by the time period be the difference between length, early warning upper lower limit value be the moving window that width forms, to the time
Parameter value in Duan is counted and is added up.
Optionally, in an embodiment of the present invention, described according to analysis result to produce equipment running status carry out pre-
Alert step specifically includes:
The ratio counted when the parameter value in described moving window is less than given threshold value, then trigger early warning;Otherwise, collect
Parameter value be normal value.
Embodiment:
The specific works flow process of the present embodiment:
First, its upper side administration sensor, the collecting device such as RTU are being produced.
Secondly, the real time data for collecting device collection does trend analysis, is monitored the trend of parameter value.
Finally, according to warning algorithm and trend analysis result prediction occurring when reaching threshold value of warning of configuration.
Selectable method for early warning includes: close to super-limit prewarning, Parameters variation early warning, trend analysis early warning, fluction analysis
Early warning and pattern recognition early warning.
It is described in detail below based on the analysis and method for early warning gathering data:
As in figure 2 it is shown, be one of the data analysis collected in the method for early warning of the present embodiment and early warning schematic diagram.By scheming
2 understand, and operation principle is: increase the limit value of " close to transfiniting " between the upper lower limit value of overload alarm.When the parameter collected
Numerical value when reaching " close to transfinite " limit value, trigger early warning.
Particularly as follows: in parameter-beyond-limit early warning allocation list, filter out according to early warning identification field need parameter ID of early warning,
Corresponding device type, the ID of corresponding device, early warning upper lower limit value, data label etc.;In real-time data base, ginseng is taken by label
Numerical value;When parameter value is beyond configuration early warning upper lower limit value, it is considered as early warning signal;Otherwise it is considered as normal signal.
As it is shown on figure 3, be the data analysis and the two of early warning schematic diagram collected in the method for early warning of the present embodiment.By scheming
3 understand, and operation principle is: according to the change of twice before and after formula (1) reduced parameter, if Δ is more than limit value, then trigger early warning.
Δ=Vn Vn-1 (1)
Particularly as follows: contrast current parameter value and the change of previous parameter value, as changing ratio exceedes rate of change limit value, it is considered as
Early warning signal;Otherwise it is considered as normal signal.
As shown in Figure 4, for the data analysis collected in the method for early warning of the present embodiment and the three of early warning schematic diagram.By scheming
4 understand, and operation principle is: use straight line or the mode of conic fitting, parameter is carried out trend analysis, if according to becoming
Gesture, parameter is following will touch limit within certain given time, then trigger early warning.
Particularly as follows: identify last flex point of parameter value variation from the parameter value collected, according to simulate
Straight line or conic section calculate this flex point and arrive the time needed for the early warning upper limit or lower limit, (give tacit consent to 5 points as this time exceedes limit value
Clock), it is considered as early warning signal;Otherwise, it is considered as normal signal.
As it is shown in figure 5, be the data analysis and the four of early warning schematic diagram collected in the method for early warning of the present embodiment.Work
Principle is: uses moving window, counts the parameter in a period of time and add up.When the number of moving window parameter point does not has
Exceed after the ratio of limit value transfinites, then, trigger early warning.Wherein, moving window is between length, early warning upper lower limit value by the time period
Difference be width composition.
Particularly as follows: employing moving window, the parameter in the time interval with current time as end time is counted and carries out
Statistics.When the ratio exceeding early warning upper lower limit value exceedes stability bandwidth limit value, it is considered as early warning signal;Otherwise it is considered as normal signal.
The present embodiment goes for oilfield operation district, the rod-pumped well in well site, screw bolt well, flowing well, routine
The running status of the production of hydrocarbons equipment such as gas well, sulfide hydrogen gas well, electric pump well carries out detecting and produce equipment state and becomes
Potential analysis, carries out early warning to parameters such as the pressure produced, temperature, operating mode, flow, safety.
Through the Fitting Calculation of several algorithms, can give warning in advance and show variation tendency according to historical data, in real time
Send early warning information when data reach threshold value of warning in advance, before accident occurs, notify production monitoring personnel in time, carry out rationally
Disposal.
Last it is noted that above-mentioned only in order to the present invention is described and and unrestricted technical scheme described in the invention;
Although this specification is to present invention has been detailed description, but, those skilled in the art still can be to the present invention
Modifying or equivalent, all are without departing from the technical scheme of the spirit and scope of the present invention and improvement thereof, and it all should be contained
In scope of the presently claimed invention.
Claims (2)
1. the method for early warning of a production of hydrocarbons equipment running status, it is characterised in that described method includes:
Corresponding sensor is set on production equipment, for gathering the corresponding parameter value producing equipment;
The real-time parameter value collected is analyzed;
According to analysis result, the running status of the equipment of production is carried out early warning;
Wherein, the step that the described real-time parameter value to collecting is analyzed specifically includes:
Early warning upper lower limit value is set between the upper lower limit value of overload alarm value;
Use by the time period be the difference between length, early warning upper lower limit value be the moving window that width forms, to time current
Between count add up for the parameter value in the moving window of end time.
2. the method for claim 1, it is characterised in that described according to analysis result to produce equipment running status enter
The step of row early warning specifically includes:
The ratio counted when the parameter value in described moving window is less than given threshold value, then trigger early warning;Otherwise, the ginseng collected
Numerical value is normal value.
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CN201310745760.0A CN103744389B (en) | 2013-12-30 | 2013-12-30 | A kind of method for early warning of production of hydrocarbons equipment running status |
CN201610657614.6A CN106227167A (en) | 2013-12-30 | 2013-12-30 | A kind of method for early warning of production of hydrocarbons equipment running status |
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Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108205285A (en) * | 2016-12-16 | 2018-06-26 | 广东韶钢松山股份有限公司 | A kind of equipment dynamic monitoring method |
CN108765889A (en) * | 2018-04-17 | 2018-11-06 | 中国石油集团安全环保技术研究院有限公司 | Production of hydrocarbons operational safety method for early warning based on big data technology |
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Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2005517105A (en) * | 2002-02-01 | 2005-06-09 | ハリバートン エナジー サービシーズ,インコーポレーテッド | Well system |
CN101369152A (en) * | 2008-10-17 | 2009-02-18 | 中国安全生产科学研究院 | Safety monitoring early warning and safety management system and method for oil gas extracting, gathering and transporting operation |
CN101881955A (en) * | 2009-05-06 | 2010-11-10 | 鞍钢股份有限公司 | Method for evaluating conditions of blast furnace |
CN101915364A (en) * | 2010-07-15 | 2010-12-15 | 中国海洋石油总公司 | Oil pipe nondestructive inspection device and method based on magnetic memory inspection |
US20110071966A1 (en) * | 2009-09-21 | 2011-03-24 | Vetco Gray Controls Limited | Condition monitoring of an underwater facility |
CN102128022A (en) * | 2010-12-30 | 2011-07-20 | 中国电子科技集团公司第二十二研究所 | Drilling engineering early warning method and system thereof |
Family Cites Families (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101162247B (en) * | 2006-10-13 | 2011-06-15 | 黑龙江大学 | Sub-health running status recognition method of electrical device |
KR20080070543A (en) * | 2007-01-26 | 2008-07-30 | 주식회사 신영 | Early warning method for estimating inferiority in automatic production line |
CN101393049B (en) * | 2008-08-25 | 2010-09-08 | 北京天源科创风电技术有限责任公司 | Vibration monitoring and failure diagnosis method for wind generating set |
CN102519743B (en) * | 2011-12-01 | 2014-09-03 | 北京工业大学 | Wireless sensor network-based monitoring and early warning method for running state of mine ventilator |
-
2013
- 2013-12-30 CN CN201610657614.6A patent/CN106227167A/en active Pending
- 2013-12-30 CN CN201310745760.0A patent/CN103744389B/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2005517105A (en) * | 2002-02-01 | 2005-06-09 | ハリバートン エナジー サービシーズ,インコーポレーテッド | Well system |
CN101369152A (en) * | 2008-10-17 | 2009-02-18 | 中国安全生产科学研究院 | Safety monitoring early warning and safety management system and method for oil gas extracting, gathering and transporting operation |
CN101881955A (en) * | 2009-05-06 | 2010-11-10 | 鞍钢股份有限公司 | Method for evaluating conditions of blast furnace |
US20110071966A1 (en) * | 2009-09-21 | 2011-03-24 | Vetco Gray Controls Limited | Condition monitoring of an underwater facility |
CN101915364A (en) * | 2010-07-15 | 2010-12-15 | 中国海洋石油总公司 | Oil pipe nondestructive inspection device and method based on magnetic memory inspection |
CN102128022A (en) * | 2010-12-30 | 2011-07-20 | 中国电子科技集团公司第二十二研究所 | Drilling engineering early warning method and system thereof |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108205285A (en) * | 2016-12-16 | 2018-06-26 | 广东韶钢松山股份有限公司 | A kind of equipment dynamic monitoring method |
CN108765889A (en) * | 2018-04-17 | 2018-11-06 | 中国石油集团安全环保技术研究院有限公司 | Production of hydrocarbons operational safety method for early warning based on big data technology |
CN111210599A (en) * | 2019-12-11 | 2020-05-29 | 南京连易智能科技有限公司 | Chemical industry index early warning method and system, electronic equipment and storage medium |
CN113433900A (en) * | 2021-06-16 | 2021-09-24 | 深圳市佳运通电子有限公司 | Unattended intelligent centralized control method and system for oil field station |
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