CN205579152U - Intelligence oil gas pipe -line system - Google Patents
Intelligence oil gas pipe -line system Download PDFInfo
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- CN205579152U CN205579152U CN201521081257.0U CN201521081257U CN205579152U CN 205579152 U CN205579152 U CN 205579152U CN 201521081257 U CN201521081257 U CN 201521081257U CN 205579152 U CN205579152 U CN 205579152U
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Abstract
The utility model provides an intelligence oil gas pipe -line system, it passes through the network by several intelligence oil gas pipe -line system and constitutes oildom administrative center with the decision analysis system and the production allocation and transportation headtotail of enterprise, each pipeline operational aspect of the integrated analysis of this decision analysis system, the instruction is assigned to each pipeline information center by the system through the production allocation and transportation, and the dispatch of each pipeline of optimal control is transmitted, can automatic acquisition oil gas pipeline information data, intelligence aassessment pipeline operation conditions, the early warning pipeline destroys, and the assay pipe network changes provides the decision -making scheme, can also realize the dispatch NULL of pipeline, realizes the intelligent management of pipeline.
Description
Technical field
This utility model relates to one can realize gas oil pipe leakage, corrosion monitoring early warning, conduit running shape
The intelligent oil and gas pipes system of the intelligent management of state and pipeline production scheduling.
Background technology
Pipeline transportation has the advantages such as low cost, efficient energy-saving, safety and stability, at oil, chemical field
Play irreplaceable effect.Oil and gas pipes Integrity Management maximum technological difficulties, it is simply that oil to be gathered
Feed channel service data and anticipation conduit running health status.Oil and gas pipes in life-time service due to around
The disaster thing such as the reasons such as environmental activity, external disturbance and pipeline are aging can occur burn into leak, rupture
Therefore.At present, the most mainly rely on manually or vehicle-mounted instrument regular visit understand conduit running situation,
And sea-bottom oil-gas pipeline obtains pipeline conditions by ROV or Intelligent pigging ball, it obtains related data
Relatively costly, pipe detection difficulty, and also the duct size information obtained also needs to rely on complicated data process
And the experience of testing staff judges.Utility model patent " the oil of Publication No. CN 103883882A
Feed channel data insertion system " and the utility model patent " Oil/Gas Pipe of Publication No. CN 103439949A
Road information data telecommunications access systems " technology focus on realizing the automatic collection of pipeline physical data,
And the warning after pipeline damage, but the intellectual analysis to data being the absence of intelligent pipeline core the most is sentenced
Disconnected, it is impossible to carry out early warning and the intellectuality of pipeline production scheduling before pipeline damage.Therefore also need to into one
Step is improved.
Utility model content
Main purpose of the present utility model is the disadvantages mentioned above overcoming existing product to exist, and provides a kind of
Intelligence oil and gas pipes system, can gather oil and gas pipes information data, intelligent evaluation conduit running shape automatically
Condition, early warning pipeline damage, analyze pipe network and change and decision scheme is provided, it is also possible to realize the scheduling of pipeline
Production management, it is achieved the intelligent management of pipeline.
The purpose of this utility model is realized by techniques below scheme.
This utility model intelligence oil and gas pipes system, it is characterised in that: by several intelligence oil and gas pipes systems
It is connected administrative center of composition oil district with decision analysis system and the production allocation and transportation system of enterprise by network；Should
Decision analysis system comprehensively analyzes each conduit running situation, believes each pipeline by producing allocation and transportation system
Instruction is assigned at breath center, the scheduled transmission of each pipeline of optimal control.
Aforesaid intelligence oil and gas pipes system, wherein: described intelligence oil and gas pipes system includes data acquisition
Unit, signal transmission unit, data receipt unit and duct size information center, this duct size information center by
Monitoring early-warning system, production management system, Intelligent neuron networks and oil pipe data base composition；This pipe
The monitoring early-warning system of road information centre, production management system, Intelligent neuron networks and oil pipe data
Communication is interconnected by Intranet between storehouse；This data acquisition unit gathers associated conduit information and leads to
Cross signal transmission unit by incoming for relevant information data receipt unit；This data receipt unit is by enterprise
Portion's network is by the oil pipe data base at incoming for relevant information duct size information center.
Aforesaid intelligence oil and gas pipes system, wherein: described data acquisition unit includes dividing along oil and gas pipes
The physical sensors of cloth and Signal coding amplifier, it is adopted by the physical sensors being distributed along oil and gas pipes
Collection associated conduit information, then carried out encoding and being transmitted by signal after signal enhancing by Signal coding amplifier
Unit arrives the data sink of data receipt unit；Signal transmission unit uses wireless network to carry out remotely
The transmission of data；Described data receipt unit includes data sink, decoding signals, data sink
Receiving the data incoming by signal transmission unit, the data in data sink are solved by decoding signals
Code；Described duct size information center oil pipe data base, will also by wireless network and vehicle-mounted detection device talk
The pipeline physical message data incoming duct size information center oil pipe data base of vehicle-mounted detection equipment line walking detection.
Aforesaid intelligence oil and gas pipes system, wherein: described vehicle-mounted detection equipment is prior art.
Aforesaid intelligence oil and gas pipes system, wherein: the wireless network that described signal transmission unit uses is
Satellite-signal or general packet radio service technology (GPRS).
Aforesaid intelligence oil and gas pipes system, wherein, described data acquisition unit is distributed along oil and gas pipes
Physical sensors and Signal coding amplifier are that one_to_one corresponding is spaced apart；This physical sensors includes commercially available
Temperature sensor, pressure transducer, cathode potential Acquisition Instrument；Signal coding amplifier is to detecting
Physical data carries out encoding and signal enhancing；Physical sensors and Signal coding amplifier divide along oil and gas pipes
The spacing distance of cloth is 2000 ± 20 meters.
Aforesaid intelligence oil and gas pipes system, wherein: the monitoring early-warning system at described duct size information center,
Interconnected by Intranet between production management system, Intelligent neuron networks and oil pipe data base
Communication, oil pipe data base receives data receipt unit and passes through the duct size information that Intranet is incoming, intelligence
The daily record data of the duct size information in oil pipe data base and production management system can be entered nerve network system
Row is analyzed, and analysis result is fed back production management system and monitoring early-warning system.
Aforesaid intelligence oil and gas pipes system, wherein, described Signal coding amplifier, data sink with
And decoding signals is prior art.
The beneficial effect of this utility model intelligence oil and gas pipes system, can with intelligent evaluation conduit running situation,
Early warning pipeline damage, analyzes pipe network and changes and provide decision scheme, it is also possible to the scheduling realizing pipeline produces
Management, it is achieved the intelligent management of pipeline.
Accompanying drawing explanation
Fig. 1 is this utility model overall structure schematic diagram.
Fig. 2 is transport stream signal journey block chart in this utility model.
Fig. 3 is this utility model embodiment 2 workflow block chart.
In figure Major Symbol explanation: 1 oil and gas pipes, 2 data acquisition units, 21 physical sensors, 22
Signal coding amplifier, 3 signal transmission units, 4 data receipt unit, 41 data sinks, 42 letters
Number decoder, 5 vehicle-mounted detection equipment, 6 duct size information centers, 61 monitoring early-warning systems, 62 produce pipe
Reason system, 63 Intelligent neuron networks, 64 oil pipe data bases, 7 administrative centers of oil district.
Detailed description of the invention
As shown in Figure 1 to Figure 3, this utility model intelligence oil and gas pipes system, it is by several intelligence oil
Feed channel system is connected composition oil district by network manages with decision analysis system and the production allocation and transportation system of enterprise
Reason center 7；This decision analysis system comprehensively analyzes each conduit running situation, by producing allocation and transportation system pair
Instruction is assigned at each duct size information center, the scheduled transmission of each pipeline of optimal control.Wherein:
This intelligence oil and gas pipes system includes data acquisition unit 2, signal transmission unit 3, data receiver list
Unit 4 and duct size information center 6, this duct size information center 6 is by monitoring early-warning system 61, production management
System 62, Intelligent neuron networks 63 and oil pipe data base 64 form；The prison at this duct size information center
Control early warning system, production management system, between Intelligent neuron networks and oil pipe data base, pass through enterprise
Internal network interconnection communication；This data acquisition unit 2 gathers associated conduit information and by signal transmission list
Unit 3 is by incoming for relevant information data receipt unit 4；This data receipt unit 4 will by Intranet
The oil pipe data base 64 at relevant information incoming duct size information center 6.
This data acquisition unit 2 includes amplifying along physical sensors 21 and the Signal coding of oil and gas pipes distribution
Device 22, it is by gathering associated conduit information along the physical sensors 21 of oil and gas pipes distribution, then by signal
Coding amplifier 22 carries out encoding and arriving data receipt unit by signal transmission unit 3 after signal enhancing
The data sink 41 of 4；Signal transmission unit 3 uses wireless network to carry out the transmission of teledata；Should
Data receipt unit 4 includes data sink 41, decoding signals 42, data sink 41 receive by
The data that signal transmission unit 3 is incoming, the data in data sink 41 are carried out by decoding signals 42
Decoding；The oil pipe data base 64 at this duct size information center 6 is also by wireless network and vehicle-mounted detection equipment 5
Communication, the pipeline physical message data incoming duct size information center 6 that vehicle-mounted detection equipment 5 line walking is detected
Oil pipe data base 64.This vehicle-mounted detection equipment 5 is prior art.
The wireless network that this signal transmission unit 3 uses is satellite-signal or general packet radio service skill
Art (GPRS).
Physical sensors 21 that this data acquisition unit 2 is distributed along oil and gas pipes and Signal coding amplifier 22
It is that one_to_one corresponding is spaced apart；This physical sensors 21 include commercially available temperature sensor, pressure transducer,
Cathode potential Acquisition Instrument；The physical data detected is encoded by Signal coding amplifier 22 and signal increases
By force；Physical sensors and Signal coding amplifier are 2000 ± 20 meters along the spacing distance that oil and gas pipes is distributed.
The monitoring early-warning system 61 at this duct size information center 6, production management system 62, Intelligent Neural Network
Interconnecting communication by Intranet between system 63 and oil pipe data base 64, oil pipe data base 64 connects
Receive data receipt unit 4 and pass through the duct size information that Intranet is incoming, Intelligent neuron networks 63
The daily record data of the duct size information in oil pipe data base 64 and production management system is analyzed, and will
Analysis result feedback production management system 62 and monitoring early-warning system 61.
This Signal coding amplifier 22, data sink 41 and decoding signals 42 are prior art.
Embodiment one:
As it is shown in figure 1, intelligence oil and gas pipes system include data acquisition unit 2, signal transmission unit 3,
Data receipt unit 4, vehicle-mounted detection equipment 5 and duct size information center 6, data acquisition unit 2 is by thing
Reason sensor 21, Signal coding amplifier 22 form, and physical sensors 21 includes commercially available temperature sensing
Device, pressure transducer, cathode potential harvester, data acquisition unit 2 is distributed along oil and gas pipes 1, number
It is made up of data sink 41, decoding signals 42 according to receiving unit 4.Duct size information center 6 is by monitoring
Early warning system 61, production management system 62, Intelligent neuron networks 63 and oil pipe data base 64 form.
Physical sensors 21 in data acquisition unit 2 gathers the temperature of oil and gas pipes 1, pressure, cathode potential
Data, arrive data by signal transmission unit 3 after being encoded by Signal coding amplifier 22 and strengthened
Receive the data sink 41 of unit 4, decoding signals 42 after being decoded, by relevant information by looking forward to
The oil pipe data base 64 at industry internal network incoming duct size information center 6.Signal transmission unit 3 uses wireless
Network carries out signal transmission.At a certain detection shortage of data, require supplementation with detection pipeline data, or certain
During place's data acquisition unit 2 fault, vehicle-mounted detection equipment 5 supplements detection pipeline physical message, detects number
According to directly being linked duct size information center 6 by wireless network.
The Intelligent neuron networks 63 at duct size information center needs be trained and test: by corrosive pipeline,
External Force Acting etc. cause lost efficacy related data and pipeline material, the pipeline construction time limit, types of coatings,
The conduit running phase detection data such as data, soil stability data and pipeline failure risk class are designated as one group
Data, and all groups of data are divided into two parts, front 80% is training sample, and rear 20% is test samples.
Training sample by 80% is used for training network, sets up study mechanism, i.e. when inputting one group of data, and warp
Cross the automatic computing of network, have one prediction pipeline failure risk class output valve, compare output valve with
The actual error between pipeline failure risk, if error is less than designated precision, then study terminates.Otherwise,
Enter next group study, until connecting weights to the forecast error of all training groups the most within the specified range,
Output best weight value now.Training group is the most, and the study of network is the most abundant, and Internet Experience value is the biggest,
Precision of prediction is the highest.After network training terminates, utilize the other 20% group of data of neural network prediction right
The pipeline failure risk class answered is to check whether network meets the requirements, between comparison predictive value and actual value
Error, when neutral net passes through test when the forecast error of each group of test data is below prescribed level,
May be used for prediction work.Complete the Intelligent neuron networks 63 of training test by oil pipe data base
The analysis of pipeline relevant information in 64, it is possible to accurately judge the running status of pipeline, communications and liaison production management is
System 62 and monitoring early-warning system 61, monitoring early-warning system 61 for the timely early warning of pipeline having failure risk,
Pipeline is produced and carries out daily management by production management system 62, thus realizes the intelligent management of oil and gas pipes.
Embodiment two, as shown in Figure 3:
Further, it is made up of by data cube computation several intelligence oil and gas pipes systems in embodiment one
Administrative center of oil district 7, each corresponding oil and gas pipes 1 of intelligence oil and gas pipes system, intelligence oil and gas pipes
System independent process respective oil and gas pipes 1 information, administrative center of oil district 7 can be with each intelligence Oil/Gas Pipe
Duct size information center 6 both-way communication of road system.Meanwhile, administrative center of oil district 7 also includes decision analysis
System and production allocation and transportation system, can assign each duct size information center 6 according to conduit running situation
Instruction, the scheduled transmission of each pipeline of optimal control.Because equipment fault or damage from third-party cause pipeline throughput rate
Reduce even stopping transportation time, oil district administrative center 7 sends early warning information providing and answers to duct size information center 6
Anxious prediction scheme is scheduled for personnel selection；When resource provisioning or user's request change, administrative center of oil district 7
Decision analysis system by the change of sunykatuib analysis pipe network operation state, rational process operation side is proposed
Case, produces allocation and transportation system and commands each duct size information center 6, the impact of pipe network disturbance be preferably minimized, it is ensured that
Pipeline continued smooth runs.
The operation principle of this utility model intelligence oil and gas pipes system, as shown in Figure 2: of the present utility model
Intelligence oil and gas pipes system includes data acquisition unit 2, signal transmission unit 3, data receipt unit 4 and
Duct size information center 6；Data acquisition unit 2 is by the physical sensors 21 being distributed along oil and gas pipes, signal
Coding amplifier 22 forms；Data receipt unit 4 is made up of data sink 41, decoding signals 42.
Physical sensors 21 in data acquisition unit gathers associated conduit information, by Signal coding amplifier 22
The data sink 41 of data receipt unit is arrived by signal transmission unit 3, by believing after encoding and strengthening
After number decoder 42 is decoded, data receipt unit is by incoming for relevant information duct size information center 6.Pipe
Road information centre 6 is by monitoring early-warning system 61, production management system 62, Intelligent neuron networks 63
Forming with oil pipe data base 64, the interconnection communication of duct size information central interior, pipeline relevant information receives and deposits
Storing up oil pipe data base 64, Intelligent neuron networks 63 analyzes oil and gas pipes 1 relevant information received,
Communications and liaison production management system 62 and monitoring early-warning system 61, in conjunction with in daily record data and oil pipe data base 64
Existing pipeline material, the pipeline construction time limit, types of coatings, conduit running phase detection data, soil are steady
The knowledge such as qualitative data, environmental data such that it is able to judge the running status of pipeline accurately, will analyze
Result feeds back to monitoring early-warning system 61 and production management system 62, and monitoring early-warning system is for there being inefficacy wind
The timely early warning of pipeline of danger, production management system carries out the production management of pipeline according to analysis result.
Described signal transmission unit is by using satellite-signal or general packet radio service technology (GPRS) net
Network is transmitted.
Described physical sensors includes commercially available temperature sensor, pressure transducer, cathode potential harvester
And flow transducer, the physical data signal of telecommunication collected finally is transferred to duct size information after strengthening
Center.
This intelligence oil and gas pipes system also includes vehicle-mounted detection equipment, when a certain detection shortage of data, or
During the data acquisition unit fault of somewhere, vehicle-mounted detection equipment can be as supplementary detection pipeline physical message, number
According to directly being linked duct size information center by wireless network.Vehicle-mounted detection equipment is prior art, and it is by KK
USM 36 ultrasonic reflectoscope, KLD-GPRS-1 type cathodic protection data collecting instrument, BCT-200A are split type
The commercially available physical detection instrument such as coating thickness tester forms.
Further, it is made up of by data cube computation several intelligence oil and gas pipes systems in embodiment one
Administrative center of oil district 7, each corresponding oil and gas pipes 1 of intelligence oil and gas pipes system, intelligence oil and gas pipes
System independent process respective oil and gas pipes 1 information, pipeline management center 7 can be with each intelligence Oil/Gas Pipe
Duct size information center 6 both-way communication of road system.Meanwhile, administrative center of oil district 7 also includes decision analysis
System and production allocation and transportation system, can assign each duct size information center 6 according to conduit running situation
Instruction, the scheduled transmission of each pipeline of optimal control.Such as, pipe is caused because of equipment fault or damage from third-party
Road throughput rate reduce even stopping transportation time, after the decision analysis system analysis of oil district administrative center 7 judges, by giving birth to
Produce allocation and transportation system send early warning information to duct size information center 6 and provide emergency preplan to be scheduled for personnel selection；
When resource provisioning or user's request change, the decision analysis system of administrative center of oil district 7 passes through mould
Intend the change of analyzer tube Running State, propose rational process operation scheme, produce allocation and transportation system commander
Each duct size information center 6, is preferably minimized the impact of pipe network disturbance, it is ensured that pipeline continued smooth runs.
The content not illustrated in this utility model embodiment is prior art, therefore, no longer repeat.
The above, be only preferred embodiment of the present utility model, not appoint this utility model
What pro forma restriction, every according to technical spirit of the present utility model above example is made any
Simple modification, equivalent variations and modification, all still fall within the range of technical solutions of the utility model.
Claims (6)
1. an intelligent oil and gas pipes system, it is characterised in that: it is connected by the decision analysis system of network and enterprise and production allocation and transportation system by several intelligence oil and gas pipes systems and forms oily administrative center of district (7)；This decision analysis system comprehensively analyzes each conduit running situation, by producing allocation and transportation system, each duct size information center is assigned instruction, the scheduled transmission of each pipeline of optimal control.
Intelligence oil and gas pipes system the most according to claim 1, it is characterized in that: described intelligence oil and gas pipes system includes data acquisition unit (2), signal transmission unit (3), data receipt unit (4) and duct size information center (6), and this duct size information center (6) is made up of monitoring early-warning system (61), production management system (62), Intelligent neuron networks (63) and oil pipe data base (64)；Communication is interconnected by Intranet between the monitoring early-warning system at this duct size information center, production management system, Intelligent neuron networks and oil pipe data base；
This data acquisition unit (2) gathers associated conduit information and by signal transmission unit (3) by incoming for relevant information data receipt unit (4)；This data receipt unit (4) passes through Intranet by the oil pipe data base (64) of incoming for relevant information duct size information center (6).
Intelligence oil and gas pipes system the most according to claim 2, it is characterised in that:
Described data acquisition unit (2) includes the physical sensors (21) along oil and gas pipes distribution and Signal coding amplifier (22), it is by gathering associated conduit information along the physical sensors (21) of oil and gas pipes distribution, then is carried out encoding and being arrived by signal transmission unit (3) after signal enhancing the data sink (41) of data receipt unit (4) by Signal coding amplifier (22)；Signal transmission unit (3) uses wireless network to carry out the transmission of teledata；
Described data receipt unit (4) includes data sink (41), decoding signals (42), data sink (41) receives the data incoming by signal transmission unit (3), and decoding signals (42) is to the decoding data in data sink (41)；
The oil pipe data base (64) of described duct size information center (6) is also by wireless network and the communication of vehicle-mounted detection equipment (5), by the oil pipe data base (64) of pipeline physical message data incoming duct size information center (6) that vehicle-mounted detection equipment (5) line walking detects.
Intelligence oil and gas pipes system the most according to claim 3, it is characterised in that: the wireless network that described signal transmission unit (3) uses is satellite-signal or general packet radio service technology (GPRS).
Intelligence oil and gas pipes system the most according to claim 3, it is characterized in that, physical sensors (21) and Signal coding amplifier (22) that described data acquisition unit (2) is distributed along oil and gas pipes are that one_to_one corresponding is spaced apart；This physical sensors (21) includes commercially available temperature sensor, pressure transducer, cathode potential Acquisition Instrument；The physical data detected is encoded by Signal coding amplifier (22) and signal strengthens；Physical sensors and Signal coding amplifier are 2000 ± 20 meters along the spacing distance that oil and gas pipes is distributed.
Intelligence oil and gas pipes system the most according to claim 2, it is characterized in that: the monitoring early-warning system (61) of described duct size information center (6), production management system (62), communication is interconnected by Intranet between Intelligent neuron networks (63) and oil pipe data base (64), oil pipe data base (64) receives data receipt unit (4) and passes through the duct size information that Intranet is incoming, the daily record data of the duct size information in oil pipe data base (64) and production management system is analyzed by Intelligent neuron networks (63), and analysis result is fed back production management system (62) and monitoring early-warning system (61).
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| CN201521081257.0U CN205579152U (en) | 2015-12-23 | 2015-12-23 | Intelligence oil gas pipe -line system |
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| CN201521081257.0U CN205579152U (en) | 2015-12-23 | 2015-12-23 | Intelligence oil gas pipe -line system |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107120533A (en) * | 2017-06-06 | 2017-09-01 | 北京市燃气集团有限责任公司 | The intelligent pressure control method of the city gas pipeline operation under pressure positioned based on the Big Dipper |
| CN107781646A (en) * | 2017-11-21 | 2018-03-09 | 中煤航测遥感集团有限公司 | Natural gas monitoring system |
| CN107917340A (en) * | 2016-10-09 | 2018-04-17 | 中国石油天然气股份有限公司 | A kind of pipeline throughput rate determines method and device |
| CN108491461A (en) * | 2018-03-05 | 2018-09-04 | 昆明理工大学 | A kind of the pipeline fault identifying system and method for information realtime interactive |
| CN112113145A (en) * | 2019-06-20 | 2020-12-22 | 方汝松 | Intelligent online detection method for chemical pipeline safety |
-
2015
- 2015-12-23 CN CN201521081257.0U patent/CN205579152U/en not_active Expired - Fee Related
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107917340A (en) * | 2016-10-09 | 2018-04-17 | 中国石油天然气股份有限公司 | A kind of pipeline throughput rate determines method and device |
| CN107917340B (en) * | 2016-10-09 | 2019-07-05 | 中国石油天然气股份有限公司 | A kind of pipeline throughput rate determines method and device |
| CN107120533A (en) * | 2017-06-06 | 2017-09-01 | 北京市燃气集团有限责任公司 | The intelligent pressure control method of the city gas pipeline operation under pressure positioned based on the Big Dipper |
| CN107120533B (en) * | 2017-06-06 | 2018-05-22 | 北京市燃气集团有限责任公司 | The intelligent pressure control method of city gas pipeline operation under pressure based on Big Dipper positioning |
| CN107781646A (en) * | 2017-11-21 | 2018-03-09 | 中煤航测遥感集团有限公司 | Natural gas monitoring system |
| CN108491461A (en) * | 2018-03-05 | 2018-09-04 | 昆明理工大学 | A kind of the pipeline fault identifying system and method for information realtime interactive |
| CN112113145A (en) * | 2019-06-20 | 2020-12-22 | 方汝松 | Intelligent online detection method for chemical pipeline safety |
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| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CP01 | Change in the name or title of a patent holder |
Address after: 100010 Chaoyangmen North Street, Dongcheng District, Dongcheng District, Beijing Co-patentee after: OFFSHORE OIL ENGINEERING Co.,Ltd. Patentee after: CHINA NATIONAL OFFSHORE OIL Corp. Address before: 100010 Chaoyangmen North Street, Dongcheng District, Dongcheng District, Beijing Co-patentee before: OFFSHORE OIL ENGINEERING Co.,Ltd. Patentee before: CHINA NATIONAL OFFSHORE OIL Corp. |
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| CP01 | Change in the name or title of a patent holder | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20160914 |
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| CF01 | Termination of patent right due to non-payment of annual fee |