CN105781527A - Parameter diagnosis and analysis method for electric submersible pump well working condition instrument - Google Patents
Parameter diagnosis and analysis method for electric submersible pump well working condition instrument Download PDFInfo
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- CN105781527A CN105781527A CN201610171917.7A CN201610171917A CN105781527A CN 105781527 A CN105781527 A CN 105781527A CN 201610171917 A CN201610171917 A CN 201610171917A CN 105781527 A CN105781527 A CN 105781527A
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- 238000003745 diagnosis Methods 0.000 title claims abstract description 18
- 238000004458 analytical method Methods 0.000 title abstract description 7
- 238000000034 method Methods 0.000 claims abstract description 25
- 238000004804 winding Methods 0.000 claims abstract description 6
- 239000007789 gas Substances 0.000 claims description 16
- 238000005299 abrasion Methods 0.000 claims description 11
- 230000000903 blocking effect Effects 0.000 claims description 9
- 238000009413 insulation Methods 0.000 claims description 9
- 238000012544 monitoring process Methods 0.000 claims description 4
- 238000012546 transfer Methods 0.000 claims description 3
- 238000007689 inspection Methods 0.000 abstract description 3
- 239000003129 oil well Substances 0.000 abstract description 3
- 238000011084 recovery Methods 0.000 abstract description 2
- 230000002035 prolonged effect Effects 0.000 abstract 1
- 238000004836 empirical method Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000003628 erosive effect Effects 0.000 description 2
- 239000012530 fluid Substances 0.000 description 2
- 239000007788 liquid Substances 0.000 description 2
- 230000010355 oscillation Effects 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 230000000153 supplemental effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000002405 diagnostic procedure Methods 0.000 description 1
- 238000012423 maintenance Methods 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
- 238000005086 pumping Methods 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 230000009897 systematic effect Effects 0.000 description 1
Classifications
-
- 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
- E21B47/008—Monitoring of down-hole pump systems, e.g. for the detection of "pumped-off" conditions
-
- 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
- E21B47/10—Locating fluid leaks, intrusions or movements
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04D—NON-POSITIVE-DISPLACEMENT PUMPS
- F04D15/00—Control, e.g. regulation, of pumps, pumping installations or systems
- F04D15/0088—Testing machines
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- Engineering & Computer Science (AREA)
- Mining & Mineral Resources (AREA)
- Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Geology (AREA)
- Geophysics (AREA)
- Environmental & Geological Engineering (AREA)
- Fluid Mechanics (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Geochemistry & Mineralogy (AREA)
- General Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Structures Of Non-Positive Displacement Pumps (AREA)
- Control Of Non-Positive-Displacement Pumps (AREA)
Abstract
The invention discloses a parameter diagnosis and analysis method for an electric submersible pump well working condition instrument. The method comprises steps as follows: a parameter curve chart of a typical electric submersible pump well fault type is drawn firstly; six groups of parameters including pump inlet temperature, motor winding temperature, pump inlet pressure, pump outlet pressure, leakage current and motor variation frequency are collected by the working condition instrument; pump working condition data are recorded and monitored by a recording instrument in real time; when an electric submersible pump well breaks down, the fault type is determined after comparison of a parameter curve acquired by the working condition instrument and the parameter curve chart. According to the parameter diagnosis and analysis method for the electric submersible pump well working condition instrument, the parameter curve chart of the typical electric submersible pump well fault type is drawn, so that when the electric submersible pump well breaks down again, the fault type can be determined rapidly and accurately, the working condition diagnosis accuracy rate and the fault recovery rate of the electric submersible pump are increased, meanwhile, by virtue of comparison with the chart, pre-warning and treatment are performed in time, the pump inspection period of an oil well is prolonged, the frequency of pump inspection and well repair is reduced, and the purpose of cost reduction and benefit increase is achieved.
Description
Technical field
The present invention relates to field of petroleum exploitation, especially a kind of electric immersible pump well tractometer parameter diagnosis analyzes method.
Background technology
In recent years, electric submersible pump Diagnosis of Work Conditions technology is developed significantly, is the important means solving electric immersible pump well exception or fault." CNPC and chemical industry " 03 phase in 2013, author are that Wang Hui, Tan Chaodong, Tan Chaoqin, top grade, Hu Changhong, paper name are called the paper that electric submersible pump working condition of pumping well diagnostic analysis method summarizes three kinds of diagnostic methods of electric pump well, respectively empirical method, theoretical analysis and comprehensive parameters inline diagnosis method.Though certain problem can be solved, but come with some shortcomings, traditional empirical method, hardly result in comprehensive and accurate result, have much relations with the technical merit of engineer；For theoretical method, because it has certain theoretical basis, diagnostic result is truth relatively, but system application personnel must possess good theoretical basis；Although electric pump well comprehensive parameters inline diagnosis method can Real-time Collection and analyze the comprehensive parameters that collects, Diagnosis of Work Conditions for electric submersible pump provides more intuitive information and foundation, but about electric submersible pump tractometer parameter, systematic research be there is no at present for the application in electric submersible pump Diagnosis of Work Conditions, do not form specification masks.Diagnostic analysis process also wastes time and energy, but also the situation of mistaken diagnosis easily occurs.
Summary of the invention
It is an object of the invention to overcome the deficiency of above-mentioned prior art, it is provided that a kind of electric immersible pump well tractometer parameter diagnosis analyzes method, and the method can be analyzed by the comprehensive parameters that pump condition instrument gathers, and rapidly removing faults, reduces maintenance cost.
To achieve these goals, the technical solution used in the present invention is: a kind of electric immersible pump well tractometer parameter diagnosis analyzes method, it is characterised in that: comprise the steps: that (1) draws the parameter curve plate of typical electric immersible pump well fault type；
(2) electric submersible pump that electric immersible pump well uses need to carry tractometer, it is possible to collects at least six group parameters, and six groups of parameters include Pump Suction Nozzle temperature, motor winding temperature, PIP, pump discharge pressure, leakage current and motor oscillating frequency；
(3) electric submersible pump tractometer recorded information can transfer data to surface recorder in electrical signal form by power cable, carries out real time record and the monitoring of pump condition data；
(4) when electric immersible pump well breaks down, compared by the parameter curve plate of the acquired parameter curve of tractometer with electric immersible pump well fault type, when the parameter curve obtained similar with a certain parameter curve plate or consistent time, it is determined that fault type.
Further, the fault that described electric immersible pump well fault type includes the fault of flow string leakage, electric submersible pump unit occurs in frequency-modulating process that the fault of resonance, electric submersible pump evacuate the fault of burn-down of electric motor, the fault of pump is suppressed in the throttling of operation initial stage, pump abrasion or the fault of Pump Suction Nozzle blocking, the fault of gases affect, the fault of electric submersible pump gas lock, pump shaft are disconnected fault, the fault of unit failed-type motor oscillating aggravation, insulation fault type leakage current increase.
Concrete when breaking down, the supplemental characteristic change that each fault embodies is as follows.
1, the fault of flow string leakage: when tubing string exists leakage points and below electric submersible pump packer time, the actual Liquid output of oil well declines, and PIP rises, when leak source from unit nearer time, there is also motor temperature and Pump Suction Nozzle temperature rise phenomenon simultaneously.
2, there is the fault of resonance in frequency-modulating process in electric submersible pump unit: electric submersible pump unit is in frequency-modulating process, if motor oscillating amplitude rises, and occurs again declining along with frequency continues to adjust motor oscillating amplitude, it was shown that motor exists interval of resonance in frequency-modulating process.
3, electric submersible pump evacuates the fault of burn-down of electric motor: before electric submersible pump evacuation, burn-down of electric motor, PIP continuous decrease also levels off to zero, and motor temperature rises rapidly, and during burn-down of electric motor, motor oscillating declines rapidly, and well head is without output.
4, the fault of pump is suppressed in the throttling of operation initial stage: when pump is suppressed in throttling, motor temperature rises rapidly, and Pump Suction Nozzle temperature also rises therewith, if the measure such as take to beam up can be obviously improved situation, then can determine whether that there is throttling suppresses pump phenomenon.
5, the fault of pump abrasion or Pump Suction Nozzle blocking: when blocking occur in impeller of pump abrasion or Pump Suction Nozzle, PIP is gradually increasing, and outlet place pressure is gradually reduced.
6, the fault of gases affect: when electric submersible pump is by gases affect, the pressure oscillation at Pump Suction Nozzle place is relatively big and frequent, and motor oscillating strengthens.
7, the fault of electric submersible pump gas lock: PIP is gradually increasing, and motor temperature rises rapidly, electric submersible pump unit is underload closes down.
8, the fault that pump shaft is disconnected: electric submersible pump pump shaft breaks, motor oscillating aggravates, and PIP rises, and outlet pressure drops suddenly, and motor winding temperature slightly rises simultaneously.
9, the fault of unit failed-type motor oscillating aggravation: unit is due to faults such as cavitation erosion, thrust bearing abrasions, it may appear that motor oscillating continues to aggravate.
10, the fault that insulation fault type leakage current increases: electric submersible pump unit and cable insulation reduce, it may appear that leakage current becomes larger.
The invention has the beneficial effects as follows: by the analysis and research of electric submersible pump tractometer Monitoring Data variation tendency when breaking down, draw out typical case's electric immersible pump well fault type parameter plate, upper once break down time, fault type can be determined fast and accurately, improve accuracy rate and the fault recovery rate of electric submersible pump Diagnosis of Work Conditions, simultaneously can by the comparison with plate, timely early warning processes, Extended Pump Detection Period, reduces the frequency of inspection pump well workover, reaches the purpose of cost efficiency.
Accompanying drawing explanation
Fig. 1 is the parameter curve of flow string leakage.
Fig. 2 is the parameter curve that resonance occurs in frequency-modulating process in electric submersible pump unit.
Fig. 3 is the parameter curve that electric submersible pump evacuates burn-down of electric motor.
Fig. 4 is the parameter curve that pump is suppressed in the throttling of operation initial stage.
Fig. 5 is pump abrasion or the parameter curve of Pump Suction Nozzle blocking.
Fig. 6 is the parameter curve of gases affect.
Fig. 7 is the parameter curve of gas lock.
Fig. 8 is the parameter curve that pump shaft is disconnected.
Fig. 9 is the parameter curve of unit failed-type motor oscillating aggravation.
Figure 10 is the parameter curve that insulation fault type leakage current increases.
Figure 11 is the FB(flow block) of the present invention.
Detailed description of the invention
As shown in figure 11, one electric immersible pump well tractometer parameter diagnosis of the present invention analyzes method, comprises the steps: that (1) draws the parameter curve plate of typical electric immersible pump well fault type；
(2) electric submersible pump that electric immersible pump well uses need to carry tractometer, it is possible to collects at least six group parameters, and six groups of parameters include Pump Suction Nozzle temperature, motor winding temperature, PIP, pump discharge pressure, leakage current and motor oscillating frequency；
(3) electric submersible pump tractometer recorded information can transfer data to surface recorder in electrical signal form by power cable, carries out real time record and the monitoring of pump condition data；
(4) when electric immersible pump well breaks down, compared by the parameter curve plate of the acquired parameter curve of tractometer with electric immersible pump well fault type, when the parameter curve obtained similar with a certain parameter curve plate or consistent time, it is determined that fault type.
Further, the fault that the electric immersible pump well fault type described in step (1) includes the fault of flow string leakage, electric submersible pump unit occurs in frequency-modulating process that the fault of resonance, electric submersible pump evacuate the fault of burn-down of electric motor, the fault of pump is suppressed in the throttling of operation initial stage, pump abrasion or the fault of Pump Suction Nozzle blocking, the fault of gases affect, the fault of electric submersible pump gas lock, pump shaft are disconnected fault, the fault of unit failed-type motor oscillating aggravation, insulation fault type leakage current increase.
Concrete when breaking down, the supplemental characteristic change that each fault embodies is as follows.
1, the fault of flow string leakage: when tubing string exists leakage points and below electric submersible pump packer time, the actual Liquid output of oil well declines, PIP rises, when electric pump suction pressure gradually rises up to a certain degree, motor temperature and Pump Suction Nozzle temperature also rise therewith, now may determine that oil pipe exists leakage points, and leakage points is in the nearer position of distance unit, electric submersible pump unit top, thus causing fluid internal recycle, well head can not be lifted to completely, suction pressure is gradually increasing, simultaneously because fluid for radiating heat is not in time, motor temperature and suction inlet temperature rise.As it is shown in figure 1, the A point region marked on curve is and there is tubing string leakage phenomena.
2, there is the fault of resonance in frequency-modulating process in electric submersible pump unit: electric submersible pump unit is in frequency-modulating process, if motor oscillating amplitude rises, and occurs again declining along with frequency continues to adjust motor oscillating amplitude, it was shown that motor exists interval of resonance in frequency-modulating process.As in figure 2 it is shown, the AB section region marked on curve is and there is electric submersible pump unit and occur covibration in frequency-modulating process.
3, electric submersible pump evacuates the fault of burn-down of electric motor: before electric submersible pump evacuation, burn-down of electric motor, PIP continuous decrease also levels off to zero, and motor temperature rises rapidly, and during burn-down of electric motor, motor oscillating declines rapidly, and well head is without output.As it is shown on figure 3, the A point region marked on curve is the phenomenon that there is electric submersible pump evacuation burn-down of electric motor.
4, the fault of pump is suppressed in the throttling of operation initial stage: when pump is suppressed in throttling, motor temperature rises rapidly, and Pump Suction Nozzle temperature also rises therewith, if the measure such as take to beam up can be obviously improved situation, then can determine whether that there is throttling suppresses pump phenomenon.As shown in Figure 4, A point region curve marked is to be existed the throttling of operation initial stage and suppresses the phenomenon of pump.
5, the fault of pump abrasion or Pump Suction Nozzle blocking: when blocking occur in impeller of pump abrasion or Pump Suction Nozzle, PIP is gradually increasing, and outlet place pressure is gradually reduced.As it is shown in figure 5, the A point region marked on curve is the phenomenon that there is pump abrasion or Pump Suction Nozzle blocking.
6, the fault of gases affect: when electric submersible pump is by gases affect, the pressure oscillation at Pump Suction Nozzle place is relatively big and frequent, and motor oscillating strengthens.As shown in Figure 6, AB section region curve marked is the phenomenon occurring that electric submersible pump is subject to gases affect.
7, the fault of electric submersible pump gas lock: PIP is gradually increasing, and motor temperature rises rapidly, electric submersible pump unit is underload closes down.As it is shown in fig. 7, the AB section region marked on curve is phenomenon electric submersible pump gas lock occur.
8, the fault that pump shaft is disconnected: electric submersible pump pump shaft breaks, motor oscillating aggravates, and PIP rises, and outlet pressure drops suddenly, and motor winding temperature slightly rises simultaneously.As shown in Figure 8, A point region curve marked is exists the phenomenon that pump shaft is disconnected.
9, the fault of unit failed-type motor oscillating aggravation: unit is due to faults such as cavitation erosion, thrust bearing abrasions, it may appear that motor oscillating continues to aggravate.As it is shown in figure 9, the A point region marked on curve is the phenomenon that there is the aggravation of unit failed-type motor oscillating.
10, the fault that insulation fault type leakage current increases: electric submersible pump unit and cable insulation reduce, it may appear that leakage current becomes larger.As shown in Figure 10, A point region curve marked is exists the phenomenon that insulation fault type leakage current increases.
Finally should be noted that; above content is only in order to illustrate technical scheme; but not limiting the scope of the invention, simple modification that technical scheme is carried out by those of ordinary skill in the art or equivalent replace, all without departing from the spirit and scope of technical solution of the present invention.
Claims (2)
1. an electric immersible pump well tractometer parameter diagnosis analyzes method, it is characterised in that: comprise the steps:
(1) the parameter curve plate of typical electric immersible pump well fault type is drawn；
(2) electric submersible pump that electric immersible pump well uses need to carry tractometer, it is possible to collects at least six group parameters, and six groups of parameters include Pump Suction Nozzle temperature, motor winding temperature, PIP, pump discharge pressure, leakage current and motor oscillating frequency；
(3) electric submersible pump tractometer recorded information can transfer data to surface recorder in electrical signal form by power cable, carries out real time record and the monitoring of pump condition data；
(4) when electric immersible pump well breaks down, compared by the parameter curve plate of the acquired parameter curve of tractometer with electric immersible pump well fault type, when the parameter curve obtained similar with a certain parameter curve plate or consistent time, it is determined that fault type.
2. electric immersible pump well tractometer parameter diagnosis according to claim 1 analyzes method, it is characterised in that: the fault that described electric immersible pump well fault type includes the fault of flow string leakage, electric submersible pump unit occurs in frequency-modulating process that the fault of resonance, electric submersible pump evacuate the fault of burn-down of electric motor, the fault of pump is suppressed in the throttling of operation initial stage, pump abrasion or the fault of Pump Suction Nozzle blocking, the fault of gases affect, the fault of electric submersible pump gas lock, pump shaft are disconnected fault, the fault of unit failed-type motor oscillating aggravation, insulation fault type leakage current increase.
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Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106597156A (en) * | 2016-12-12 | 2017-04-26 | 中国石油天然气集团公司 | Electric submersible pump load fault determination method and device, and electric submersible pump paperless recorder |
| CN106761681A (en) * | 2017-02-16 | 2017-05-31 | 中国石油化工股份有限公司 | Electric pump well fault real-time diagnosis system and method based on time series data analysis |
| CN108333990A (en) * | 2018-03-02 | 2018-07-27 | 天津仪控科技有限公司 | Electric immersible pump well produces Internet of things system |
| CN108460515A (en) * | 2018-01-16 | 2018-08-28 | 中国海洋石油集团有限公司 | A kind of electric immersible pump well unit failure risk prediction technique |
| CN110284875A (en) * | 2019-06-13 | 2019-09-27 | 中国石油化工股份有限公司 | A kind of Diagnosing The Faults of Esp ' method and apparatus based on current parameters |
| CN111503011A (en) * | 2018-12-27 | 2020-08-07 | 株式会社久保田 | Inspection well pump diagnosis method and inspection well pump diagnosis device |
| CN112832999A (en) * | 2021-01-08 | 2021-05-25 | 中国石油大学(北京) | Electric pump well working condition diagnosis system and method based on multi-sensor data fusion |
| CN113123761A (en) * | 2020-01-15 | 2021-07-16 | 中国石油天然气股份有限公司 | Method and device for controlling start and stop of electric submersible pump |
| CN113357167A (en) * | 2021-06-08 | 2021-09-07 | 中海油能源发展股份有限公司 | Electrical submersible pump well abnormity diagnosis method based on double-suppressed pressure curve |
| CN113357166A (en) * | 2021-06-23 | 2021-09-07 | 中海油能源发展股份有限公司 | Real-time early warning method for pump sticking of electric submersible pump based on production data and high-frequency data |
| CN113494288A (en) * | 2020-04-08 | 2021-10-12 | 中国石油天然气股份有限公司 | Oil pipe leakage finding method and well repairing method |
| CN114412438A (en) * | 2021-12-31 | 2022-04-29 | 沈阳中科奥维科技股份有限公司 | Working condition analysis and liquid quantity measuring method of electric pump well under digital condition |
| CN114718861A (en) * | 2021-01-04 | 2022-07-08 | 中国石油化工股份有限公司 | Intelligent diagnosis method for working condition of screw pump well based on deep learning |
| CN116256589A (en) * | 2023-05-15 | 2023-06-13 | 南京研控科技有限公司 | Intelligent diagnosis method and device for electric pump well, storage medium and server |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2009003099A1 (en) * | 2007-06-26 | 2008-12-31 | Baker Hughes Incorporated | Device, method and program product to automatically detect and break gas locks in an esp |
| CN202673275U (en) * | 2012-06-05 | 2013-01-16 | 中国石油集团川庆钻探工程有限公司 | Real-time monitoring device for operating condition of drilling pump |
| CN102996119A (en) * | 2012-11-23 | 2013-03-27 | 天津正本自控系统有限公司 | Downhole detection unit |
| CN203783562U (en) * | 2014-01-21 | 2014-08-20 | 中国海洋石油总公司 | Underground multi-parameter monitoring device for electric submersible pump |
| CN204532791U (en) * | 2015-04-07 | 2015-08-05 | 深圳市华至云端技术有限公司 | A kind of electric submersible pump sensing system |
-
2016
- 2016-03-24 CN CN201610171917.7A patent/CN105781527A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2009003099A1 (en) * | 2007-06-26 | 2008-12-31 | Baker Hughes Incorporated | Device, method and program product to automatically detect and break gas locks in an esp |
| CN202673275U (en) * | 2012-06-05 | 2013-01-16 | 中国石油集团川庆钻探工程有限公司 | Real-time monitoring device for operating condition of drilling pump |
| CN102996119A (en) * | 2012-11-23 | 2013-03-27 | 天津正本自控系统有限公司 | Downhole detection unit |
| CN203783562U (en) * | 2014-01-21 | 2014-08-20 | 中国海洋石油总公司 | Underground multi-parameter monitoring device for electric submersible pump |
| CN204532791U (en) * | 2015-04-07 | 2015-08-05 | 深圳市华至云端技术有限公司 | A kind of electric submersible pump sensing system |
Non-Patent Citations (2)
| Title |
|---|
| 吴绍伟 等: "基于系统分析的电潜泵井动态分析与故障诊断综合技术研究", 《中国石油和化工标准与质量》 * |
| 欧阳铁兵 等: "电潜泵工况仪参数应用实践", 《石油钻采工艺》 * |
Cited By (22)
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| CN106597156B (en) * | 2016-12-12 | 2019-03-08 | 中国石油天然气集团公司 | Submersible electric pump load faulty judgment method, device and submersible electric pump recording instrument without paper |
| CN106597156A (en) * | 2016-12-12 | 2017-04-26 | 中国石油天然气集团公司 | Electric submersible pump load fault determination method and device, and electric submersible pump paperless recorder |
| CN106761681A (en) * | 2017-02-16 | 2017-05-31 | 中国石油化工股份有限公司 | Electric pump well fault real-time diagnosis system and method based on time series data analysis |
| CN106761681B (en) * | 2017-02-16 | 2023-04-14 | 中国石油化工股份有限公司 | Electric pump well fault real-time diagnosis system and method based on time sequence data analysis |
| CN108460515A (en) * | 2018-01-16 | 2018-08-28 | 中国海洋石油集团有限公司 | A kind of electric immersible pump well unit failure risk prediction technique |
| CN108333990A (en) * | 2018-03-02 | 2018-07-27 | 天津仪控科技有限公司 | Electric immersible pump well produces Internet of things system |
| CN111503011B (en) * | 2018-12-27 | 2024-04-09 | 株式会社久保田 | Method and device for diagnosing inspection well pump |
| CN111503011A (en) * | 2018-12-27 | 2020-08-07 | 株式会社久保田 | Inspection well pump diagnosis method and inspection well pump diagnosis device |
| CN110284875A (en) * | 2019-06-13 | 2019-09-27 | 中国石油化工股份有限公司 | A kind of Diagnosing The Faults of Esp ' method and apparatus based on current parameters |
| CN113123761A (en) * | 2020-01-15 | 2021-07-16 | 中国石油天然气股份有限公司 | Method and device for controlling start and stop of electric submersible pump |
| CN113123761B (en) * | 2020-01-15 | 2023-08-22 | 中国石油天然气股份有限公司 | Method and device for controlling start and stop of electric submersible pump |
| CN113494288A (en) * | 2020-04-08 | 2021-10-12 | 中国石油天然气股份有限公司 | Oil pipe leakage finding method and well repairing method |
| CN113494288B (en) * | 2020-04-08 | 2023-08-22 | 中国石油天然气股份有限公司 | Oil pipe leakage finding method and well repairing method |
| CN114718861A (en) * | 2021-01-04 | 2022-07-08 | 中国石油化工股份有限公司 | Intelligent diagnosis method for working condition of screw pump well based on deep learning |
| CN112832999B (en) * | 2021-01-08 | 2022-03-18 | 中国石油大学(北京) | Electric pump well working condition diagnosis system and method based on multi-sensor data fusion |
| CN112832999A (en) * | 2021-01-08 | 2021-05-25 | 中国石油大学(北京) | Electric pump well working condition diagnosis system and method based on multi-sensor data fusion |
| CN113357167B (en) * | 2021-06-08 | 2022-07-22 | 中海油能源发展股份有限公司 | Electrical submersible pump well abnormity diagnosis method based on double-suppressed pressure curve |
| CN113357167A (en) * | 2021-06-08 | 2021-09-07 | 中海油能源发展股份有限公司 | Electrical submersible pump well abnormity diagnosis method based on double-suppressed pressure curve |
| CN113357166B (en) * | 2021-06-23 | 2022-12-30 | 中海油能源发展股份有限公司 | Real-time early warning method for pump sticking of electric submersible pump based on production data and high-frequency data |
| CN113357166A (en) * | 2021-06-23 | 2021-09-07 | 中海油能源发展股份有限公司 | Real-time early warning method for pump sticking of electric submersible pump based on production data and high-frequency data |
| CN114412438A (en) * | 2021-12-31 | 2022-04-29 | 沈阳中科奥维科技股份有限公司 | Working condition analysis and liquid quantity measuring method of electric pump well under digital condition |
| CN116256589A (en) * | 2023-05-15 | 2023-06-13 | 南京研控科技有限公司 | Intelligent diagnosis method and device for electric pump well, storage medium and server |
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Application publication date: 20160720 |