CN113689123A - Intelligent management platform is gathered to natural gas modularization - Google Patents

Intelligent management platform is gathered to natural gas modularization Download PDF

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CN113689123A
CN113689123A CN202110985648.9A CN202110985648A CN113689123A CN 113689123 A CN113689123 A CN 113689123A CN 202110985648 A CN202110985648 A CN 202110985648A CN 113689123 A CN113689123 A CN 113689123A
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史卫华
罗军
葛豪飞
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Beijijng Petrodamo Engineering Technology Co ltd
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Abstract

The invention discloses a natural gas modular collection intelligent management platform which comprises a management system, a data collection module, a data transmission module and a production number intelligent management application module, wherein the production number intelligent management application module → the data collection module → the data transmission module → the management system. According to the invention, comprehensive perception, strict safety control and decision optimization of the natural gas exploration production process are realized through the platform, a novel intelligent management mode of natural gas exploration work is promoted to be comprehensively and deeply applied, intelligent management of the oil and gas production process is realized, business mode reconstruction and production management transition are driven, industrial upgrading and value increasing are realized, resources can be optimized, production cost is reduced, production safety can be guaranteed, management and control capability is improved, monitoring and refined production can be enhanced, intelligent management can be realized, and high-quality development is promoted.

Description

Intelligent management platform is gathered to natural gas modularization
Technical Field
The invention relates to the technical field of natural gas exploitation management, in particular to a natural gas modular acquisition intelligent management platform.
Background
The traditional natural gas exploration and development process does not have a complete management platform, so that the production cost is increased, the production safety is not guaranteed enough, the whole management and control capacity is not high, and the monitoring and fine production are difficult to strengthen.
Therefore, the intelligent management platform for the modularized collection of the natural gas is provided for solving the problems.
Disclosure of Invention
The invention aims to provide a natural gas modular collection intelligent management platform to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme:
the intelligent management platform for the modularized collection of the natural gas comprises a management system, a data collection module, a data transmission module and an intelligent production management application module, wherein the intelligent production management application module → the data collection module → the data transmission module → the management system
The production number intelligent management application module mainly comprises panoramic three-dimensional display, panoramic three-dimensional visualization and the like.
Data acquisition is mainly composed of three aspects: digital handover data acquisition, production information data acquisition and monitoring information data acquisition.
The management system mainly performs production operation management, process monitoring and alarming and data backtracking.
The management system comprises a WIZ PLANT module and a WIZ DATA module.
The monitoring information data acquisition mainly comprises the following steps: video monitoring information and gas monitoring information data.
In a further embodiment, the panoramic three-dimensional presentation:
digital handover
The drawings, documents and data of different sources of design houses, construction units, debugging units and equipment manufacturers are combed, the digital handover of full-field full-professional data is realized, and the content of handover content data comprises the following steps: design data, installation data, equipment data, debugging data, acceptance data, completion data and a three-dimensional design model of a station yard (including a design yard, an equipment manufacturer and other system supporting manufacturers).
In a further embodiment, the panoramic three-dimensional visualization:
on the basis of digital handover, a wizPlayer three-dimensional engine is used in combination with station video monitoring information to express facilities with complex structures, complicated process flows and inaccurate positioning on graphic planes in a visual, three-dimensional and local microscopic precise manner, so that the vision of people is extended. The method realizes the integratable and associative management of digital information (three-dimensional models, engineering drawings, documents and the like) with the three-dimensional models as the core, and the visualized intelligent management.
The method mainly comprises the following steps:
-field well station, equipment layout visualization;
-visualization of the internal structure of the key device;
-life-time data digitization;
-data management profiling.
In a further embodiment, the digital handover material acquisition:
the digital transfer of the full-field full-professional data is realized by combing drawings, documents and data of different sources of design houses, construction units, debugging units and equipment manufacturers, and a static data knowledge graph taking KKS codes as a core is formed. The handover content data content includes: design data, installation data, equipment data, debugging data, acceptance data, completion data and a three-dimensional design model of a station yard.
In a further embodiment, the production information data collection essentially comprises: trial production data, production business data and production safety data.
Trial production information data: fluid volume (gas, oil, water), pressure (oil, casing pressure), well head temperature, production time, reservoir properties, fluid composition, static pressure, flow rate, pressure drop, oil and gas water sample analysis, and the like.
-production traffic data: production plan indices, task performance progress, oilfield company/plant level documentation, organizational structures, regulations, personnel information, tractor oil statistics, warehouse equipment part data, and the like.
-production safety data: the name, the number, the specification, the validity period, the use instruction and the like of safety precaution articles (such as fire extinguishers, medical articles, gas detectors, positive pressure respirators, shovels, sand barrels and the like).
In a further embodiment, the
-video surveillance information: the remote video monitoring module automatically calls video resources of the area, automatically monitors the important area at fixed points according to the conditions of site environment, production flow, equipment state, personnel position and the like, and after the factors such as operator departure, environmental risk and the like are eliminated, video monitoring is restored to a normal state, and the site is subjected to itinerant inspection.
-gas monitoring data: the four-in-one gas detector or other instruments capable of realizing toxic and harmful gas monitoring are used for periodically monitoring gas in a well station, and monitoring data are uploaded to a system platform manually.
In a further embodiment, the production operation management uses an information technology and big data cloud computing, helps a production department or a production manager to establish and perfect a business flow and a management flow, and realizes the intelligent management and application of trial production.
-automatic reporting
By monitoring data transmission in real time, the system realizes automatic generation of reports of data and realizes functions of data display, query, export and the like in the forms of reports, curves, graphs and the like. And automatically generating corresponding reports according to the requirements of the clients, finishing daily reports, monthly reports and the like according to the requirements, and exporting the reports into an Excel table form.
In a further embodiment, the process monitoring and alarming system adopts the latest HTML5 technology to directly convert the main stream DCS picture into the system picture. And the DCS real-time monitoring data (process flow) is converted to display the whole generated process flow. Or when the object of the production object is in an abnormal state, the system can send alarm information to production management personnel through alarming, and the production management personnel realize remote control operation.
In a further embodiment, the data is tracked back, the system supports historical playback and trend viewing functions, and historical conditions (all parameters and states) of the system can be reproduced by combining historical data. The user can play back and display all the measuring point data of the system page again, and the method supports the viewing of the picture state at any time in any period and any moment and keeps the parameter synchronism in the picture switching process. In the data cycle, a user can call picture playback and data playback in any time period at will, the multi-speed fast playback and slow playback functions are supported, and basis and means are provided for fault analysis, operation training, accident reproduction and the like.
Compared with the prior art, the invention has the beneficial effects that: the comprehensive perception, strict safety control and decision optimization of the natural gas exploration production process are realized through the platform, the comprehensive and deep application of a novel intelligent management mode of natural gas exploration work is promoted, the intelligent management of the oil and gas production process is realized, the reconstruction of a service mode and the transformation of production management are driven, and the industrial upgrading and value increase are realized.
(1) Can optimize resources and reduce production cost: traditional natural gas exploration and development process, construction cost drops into greatly, and staff collects the analysis data time cycle length, and staff working strength is big, and the human cost is high, tries to adopt through the construction modularization, carries out digitization, digital intelligent management, helps optimizing resources, and quick construction reduces personnel, reduction in production cost by a wide margin.
(2) Can ensure production safety, improve the management and control ability: the natural gas exploration well trial production process relates to high temperature and high pressure, the safety risk is high, the safety is the core guarantee of production, Xinjiang oil field companies regard the safety as the important part in the production process, the production safety is more emphasized and stricter, the production site data monitoring, video monitoring and production early warning (alarming) can be realized through the intelligent management construction of the natural gas modular trial production device, the problems and risks of all the links of the oil field production can be found in time, measures can be taken in time, and the safety production accidents are avoided.
(3) Monitoring can be strengthened, production is meticulous: by monitoring various data in the production process in real time, the production change data can be quickly tracked and analyzed, the trial production rule can be mastered, the relevant processes and parameters can be timely adjusted, the production efficiency can be improved, and the yield increase, efficiency improvement and consumption reduction can be realized. The production information can be timely, efficiently, accurately and accurately fed back and utilized, and the refined management of the production process is realized.
(4) Can intelligently manage, promote high-quality development: the technology of big data, cloud computing, wireless sensing, the Internet of things and the like is applied to promote the high-quality development of natural gas exploration and development. Through the modularized intelligent management construction of natural gas pilot production, various service models and function development and application based on big data analysis and application, the intelligent assistance is made on production and decision-making, an integrated collaborative environment is established, the integration of a natural gas pilot production process system, the standardization of development construction, the sharing of data knowledge, the collaborative research and work, the automation of a production process, the visualization of production commands and the scientization of analysis and decision are realized, and the high-quality development of a natural gas exploration and development business is promoted.
Drawings
FIG. 1 is a schematic view of a process flow of an intelligent management platform for implementing a picture of a process flow monitoring and alarm system.
Fig. 2 is a schematic diagram of a GIM panorama management and control center of an intelligent management platform.
Fig. 3 is a schematic diagram of a three-dimensional model and terrain combination of the intelligent management platform.
FIG. 4 is a partially refined display diagram of the intelligent management platform.
Fig. 5 is a schematic diagram illustrating information integration between the GIM and the device of the intelligent management platform.
Fig. 6 is a schematic view of a panoramic visualization display of the intelligent management platform.
FIG. 7 is a diagram illustrating the collection of digital handover data of the intelligent management platform.
FIG. 8 is a diagram illustrating automatic generation and display of a report on an intelligent management platform.
Fig. 9 is a schematic view showing a process flow monitoring screen of the intelligent management platform.
Fig. 10 is a schematic diagram of data backtracking of the intelligent management platform.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The intelligent management platform for the modularized collection of the natural gas comprises a management system, a data collection module, a data transmission module and an intelligent production management application module, wherein the intelligent production management application module → the data collection module → the data transmission module → the management system
The production number intelligent management application module mainly comprises panoramic three-dimensional display, panoramic three-dimensional visualization and the like.
Data acquisition is mainly composed of three aspects: digital handover data acquisition, production information data acquisition and monitoring information data acquisition.
The digital hand-over data acquisition mainly acquires process data, electrical appliance data, instrument control data and building data,
production information data acquisition mainly acquires trial production parameters, production business data and production safety data.
The monitoring information data acquisition mainly acquires video monitoring and gas monitoring.
The management system mainly performs production operation management, process monitoring and alarming and data backtracking.
The management system comprises a WIZ PLANT module and a WIZ DATA module.
The monitoring information data acquisition mainly comprises the following steps: video monitoring information and gas monitoring information data.
Data transmission is mainly applied to data acquired in different production links such as trial production, equipment operation, service management, video monitoring and the like, the data are transmitted to a DCS system through wireless sensing equipment, a metering instrument and the like by using a wired (optical fiber)/wireless network (network bridge and the like), and the data processed by the DCS system/a server are transmitted to a production management platform to display related production conditions.
Production number intelligent management application module: the production data collected by each production object in the pilot production site is processed by a DCS and then transmitted to a production data intelligent management application platform, the platform displays through data and graphs to realize comprehensive application of production functions, the main purpose is to realize the digital intelligent management application of the production objects and the production processes, help production management personnel to establish and perfect business processes and management processes, and adjust working parameters and working modes of supporting equipment in the pilot production process through platform big data analysis, so that production information is timely, accurate and efficient, the rapid, refined, quantitative and digitalized natural gas pilot production work is realized, meanwhile, guidance suggestions are provided for the production process from the aspects of cost and efficiency, the production process is optimized, and economic and safety benefits are improved.
And (3) panoramic three-dimensional display:
digital handover
The drawings, documents and data of different sources of design houses, construction units, debugging units and equipment manufacturers are combed, the digital handover of full-field full-professional data is realized, and the content of handover content data comprises the following steps: design data, installation data, equipment data, debugging data, acceptance data, completion data and a three-dimensional design model of a station yard (including a design yard, an equipment manufacturer and other system supporting manufacturers).
Panoramic three-dimensional visualization:
on the basis of digital handover, a wizPlayer three-dimensional engine is used in combination with station video monitoring information to express facilities with complex structures, complicated process flows and inaccurate positioning on graphic planes in a visual, three-dimensional and local microscopic precise manner, so that the vision of people is extended. The method realizes the integratable and associative management of digital information (three-dimensional models, engineering drawings, documents and the like) with the three-dimensional models as the core, and the visualized intelligent management.
The method mainly comprises the following steps:
-field well station, equipment layout visualization;
-visualization of the internal structure of the key device;
-life-time data digitization;
-data management profiling.
Refer to FIG. 2 for a detailed description of the drawings
Digital handover data acquisition:
the digital transfer of the full-field full-professional data is realized by combing drawings, documents and data of different sources of design houses, construction units, debugging units and equipment manufacturers, and a static data knowledge graph taking KKS codes as a core is formed. The handover content data content includes: design data, installation data, equipment data, debugging data, acceptance data, completion data and a three-dimensional design model of a station yard.
Please refer to fig. 7 for a schematic diagram of digital handover data acquisition.
The production information data acquisition mainly comprises the following steps: trial production data, production business data and production safety data.
Trial production information data: fluid volume (gas, oil, water), pressure (oil, casing pressure), well head temperature, production time, reservoir properties, fluid composition, static pressure, flow rate, pressure drop, oil and gas water sample analysis, and the like.
-production traffic data: production plan indices, task performance progress, oilfield company/plant level documentation, organizational structures, regulations, personnel information, tractor oil statistics, warehouse equipment part data, and the like.
-production safety data: the name, the number, the specification, the validity period, the use instruction and the like of safety precaution articles (such as fire extinguishers, medical articles, gas detectors, positive pressure respirators, shovels, sand barrels and the like).
-video surveillance information: the remote video monitoring module automatically calls video resources of the area, automatically monitors the important area at fixed points according to the conditions of site environment, production flow, equipment state, personnel position and the like, and after the factors such as operator departure, environmental risk and the like are eliminated, video monitoring is restored to a normal state, and the site is subjected to itinerant inspection.
-gas monitoring data: the four-in-one gas detector or other instruments capable of realizing toxic and harmful gas monitoring are used for periodically monitoring gas in a well station, and monitoring data are uploaded to a system platform manually.
While data acquisition, we simultaneously carry out synchronous optimization, mainly consider the following aspects:
1) optimizing the acquisition frequency: according to production management and process requirements, the acquisition frequency is optimized, and the equipment time rate is improved under the condition of ensuring normal production parameter acquisition.
2) Optimizing the acquisition equipment: in the selection of the acquisition equipment, low-power consumption instrument equipment with low cost, easy operation and maintenance and high reliability is selected preferentially by comprehensively considering the aspects of advanced technology, construction cost, construction difficulty, maintenance and the like.
3) And (3) optimizing acquisition parameters: and selecting to collect only the most important necessary production parameters by combining the pilot production requirement, the working condition of the gas testing well and the process production requirement.
4) And (3) data transmission optimization: on the premise of meeting the technical requirements of production management, the low-power consumption wireless transmission technology is preferentially selected, so that the production energy consumption and the construction investment are reduced
The production operation management uses an information technology and big data cloud computing, helps production departments or production management personnel to establish and perfect business processes and management processes, and realizes the digital intelligent management and application of trial production work.
-automatic reporting
By monitoring data transmission in real time, the system realizes automatic generation of reports of data and realizes functions of data display, query, export and the like in the forms of reports, curves, graphs and the like. According to the requirements of customers, corresponding reports are automatically generated, daily reports, monthly reports and the like can be completed according to the requirements, the reports can be exported to be in an Excel table form, and a process flow monitoring picture display schematic diagram refers to an attached figure 9.
The automatic report can automatically copy part of production parameters, reduce the workload of operators and increase the probability of defect discovery. The main contents of the report are as follows:
yield (gas, oil and water yield)
Pressure (sleeve pressure, oil pressure)
Temperature (temperature at the inlet and outlet of the well head, separation flash and motor)
Time (gas well production time, equipment operation time and maintenance time)
Fifthly, other parameters (water-gas ratio, condensate content, PH value, gas component content and mineralization Cl)-Density, wax content)
Wherein the report forms of yield, pressure, temperature and time can be automatically recorded and generated, and the PH value (corrosivity monitoring data) and the gas component content (mainly methane CH) in other parameters4) And the mineralization, the wax content and other sampling analysis data are generated after manual filling and uploading.
Report automatic generation and display map please refer to FIG. 8
The process monitoring and alarming adopts the latest HTML5 technology to directly convert the main stream DCS picture into the system picture. And the DCS real-time monitoring data (process flow) is converted to display the whole generated process flow. Or when the object of the production object is in an abnormal state, the system can send alarm information to production management personnel through alarming, and the production management personnel realize remote control operation.
Please refer to fig. 1 for a system picture realization process of process monitoring and alarming.
Please refer to fig. 9 for a process flow monitoring screen display diagram.
The process flow is mainly monitored by the following steps: 1. a production manager remotely monitors a certain production link/object; 2. when a certain production link or equipment in the production flow is abnormal in operation, the system sends out an alarm signal; 3. equipment failure, system transmission and show alarm information.
The data backtracking and tracking are realized, the system supports the functions of historical playback and trend viewing, and the historical working conditions (all parameters and states) of the system can be reproduced by combining historical data. The user can play back and display all the measuring point data of the system page again, and the method supports the viewing of the picture state at any time in any period and any moment and keeps the parameter synchronism in the picture switching process. In a data cycle, a user can call picture playback and data playback in any time period at will, the multi-speed fast playback and slow playback functions are supported, basis and means are provided for fault analysis, operation training, accident reproduction and the like, and data backtracking is shown in fig. 10.
Implementation and development scheme
The function expansion application belongs to deepening and strengthening of platform functions, and functions of automatic data acquisition, comprehensive station sensing, regular production operation defect management plan management, intelligent equipment management (including equipment state evaluation, equipment fault library construction and the like), personnel positioning, electronic fences, real-time equipment diagnosis/simulation training maintenance, energy consumption analysis and the like of wireless sensing equipment are added on the basis of basic function application, so that high efficiency, refinement, quantification, accuracy and intelligent management of a trial production process can be more comprehensively realized, a guidance suggestion is provided for the production process from the aspects of cost and efficiency, production parameters are optimized, the production cost is further reduced, and economic and safety benefits are improved.
(I) Intelligent device Collection
1.1 Smart device Collection
The wireless sensing equipment is used for realizing the intelligent automatic acquisition of data, the number of monitoring measuring points is increased for production equipment which is more critical and closely related to operation optimization and adjustment, the data uploading mode is optimized on the existing basis, and the requirements of real-time data acquisition, uploading and monitoring and subsequent participation in analysis and modeling are met.
1.2 measurement Point perception supplement
For on-site equipment which is not convenient for automation and digital intelligent transformation, data sensing modes in forms of internet of things, intelligent sensors, infrared analysis and the like can be adopted, and data uploading and participation in analysis and calculation are achieved.
The production information is sensed by using the technologies of sensing, radio frequency and the like, and an accurate and reliable automatic acquisition and monitoring system covering the whole process of natural gas exploration and production trial is established. The data acquisition is perfect and accurate, the safety management is timely and effective, and the system control is stable and reliable.
(II) refinement management
The production operation management uses the current most advanced technology such as big data and artificial intelligence, helps production departments or production management personnel to establish and perfect business processes and management processes, realizes the digital intelligent management and application of production data, optimizes the production degree by evaluating equipment state, analyzing energy consumption, evaluating safety, calculating efficiency, accounting cost and the like, and improves economic and safety benefits.
2.1 operational Defect filling management
And driven by a workflow, performing defect grade, identification, auditing, execution, summarization and confirmation on the operation found defects, and performing and managing the whole process orderly. And the related personnel are assisted to make a defect elimination decision and normative overhaul. Meanwhile, the information tracing analysis of the whole defect process is provided, and a complete and comprehensive closed-loop defect elimination management mechanism is established.
2.2 periodic plan management
The regular plan management realizes the closed-loop regular work execution flow, different task targets are planned according to production needs, relevant personnel and equipment complete the planned tasks, then the execution conditions are filled, confirmation is carried out, and finally statistical analysis (planning details, progress reminding and the like) is carried out.
The periodic planning function may satisfy the user considering the planning configuration from different perspectives, including: switching and maintaining the equipment operation at regular intervals; regular personnel rotation; carrying out emergency drilling on regular production; carrying out regular sample test; the electronic signature ticket is used regularly; regular logistics material support and the like.
2.3 running ledger management
The operation standing book mainly records, modifies and inquires and operates the professional technical standing book, the test standing book and other operation affair management standing books. The system can provide the functions of user-defined operation of the types and formats of the standing book, such as: public ledgers, work ticket registration, equipment inspection, chemical ledger and the like.
Intelligent management of equipment number
The equipment management center takes real-time and automatic analysis of the health state of the equipment as a core, takes static information, real-time operation parameters and maintenance information of the equipment as a basis, takes data correlation, logic judgment and refined modeling as means, and assists in finishing the work of equipment maintenance, risk analysis, maintenance decision and the like in the modes of regular work, fault early warning, state evaluation and the like, so that the closed-loop management target of safe and reliable operation and reasonable maintenance cost of the equipment is finally achieved.
The equipment management center takes real-time and automatic analysis of the health state of the equipment as a core, takes static information, real-time operation parameters and maintenance information of the equipment as a basis, takes data correlation, logic judgment and refined modeling as means, and assists in finishing the work of equipment maintenance, risk analysis, maintenance decision and the like in the modes of regular work, fault early warning, state evaluation and the like, so that the closed-loop management target of safe and reliable operation and reasonable maintenance cost of the equipment is finally achieved.
3.1 device information management
The equipment static information and the maintenance information are the basis of an equipment management center, the specific content comprises the specification and model of the whole life cycle of the equipment, equipment drawings, specifications, operation maintenance regulations, industrial standards, maintenance records (including technical improvement records), spare parts and other related information, and the comprehensive collection and display of information before equipment commissioning, operation information, maintenance test information, operation environment information, family defect information and the like are supported.
3.2 device project management
On the basis of equipment information management, for promoting the fine management of maintenance process, the integrality, the security and the high efficiency of guarantee maintenance work realize standardization, the systematic management, and then reduce the cost of overhaul and improve work efficiency, establish equipment project management system, form one set of maintenance standardization scheme that is applicable to the energy enterprise to provide technical support for enterprise's production from technical, safety, cost, comprehensive analysis.
The equipment item management includes: annual overhaul plan, overhaul project plan, overhaul preparation plan, overhaul execution condition, overhaul schedule plan, overhaul document management, project acceptance, cold acceptance, hot acceptance, quality monitoring management and other overhaul overall process management.
3.3 periodic working
And by combining the policy of 'prevention is mainly and prevention is combined', the equipment management center establishes regular work aiming at the equipment, and the normal operation of the equipment is better ensured. The regular work content includes regular maintenance, regular inspection, regular switching, regular experiment, and the like of the equipment.
Regularly maintaining in the middle: mainly comprises the maintenance of a mechanical rotating equipment lubricating system, the maintenance of electrical and thermal control precision instruments and the like;
the middle section is regularly checked: the method mainly comprises the steps of periodically checking a main device and an important auxiliary device;
the driving section is periodically switched: mainly comprises the switching operation work between the operation equipment and the standby equipment;
in the periodic experiments: the method mainly comprises the steps of carrying out dynamic and static starting and protection transmission, carrying out periodic test on safety tools and equipment, carrying out periodic test on fire-fighting system equipment and pressure vessel equipment and the like.
Meanwhile, the regular work support includes regular work per value, daily, value per round, monthly, quarterly, annually, and regular work in different seasons, different loads, and operation modes.
3.4 device State evaluation
And establishing a relevant operation standard of an equipment evaluation index system according to ISO 10816 and GB/T6075 standards, and establishing an equipment evaluation model relevant to working conditions, processes and self parameters of equipment. The model can not only match with all working conditions and all operation parameters, but also realize self-learning and self-optimization on line, thereby ensuring that the output result of the model conforms to the real operation health level of the equipment. And giving operation evaluation grades to the equipment operation condition, wherein the grades are 4 grades, namely excellent, good, warning and fault, and the state analysis result is stable or abnormal.
The system automatically evaluates the equipment operation state under the whole working condition through an equipment state evaluation model on the basis of real-time operation data of DCS system communication. Different from a threshold evaluation system, the system evaluates the running state under the working condition according to the output condition, the rotating speed condition and the like of the equipment, so that the evaluation is more accurate and the application range is wider. When the evaluation of the running state of the equipment is too low, the system can automatically give an alarm and push the reason of low evaluation without inquiring again through historical data by a user.
For example, some general equipment is evaluated, an equipment evaluation rule model is established according to historical mean value data of the equipment (three-phase temperature, motor driving end temperature, motor free end temperature, pump bearing end temperature, pressure, current and vibration), and power consumption measuring points, start-up stable state fluctuation characteristics and fault characteristics of the equipment, and by combining operation experience, the target equipment is monitored in real time, and normal operation of the equipment is further guaranteed.
When the equipment has faults, the system gives corresponding fault analysis and displays the fault analysis in a data and graphic mode.
3.5 failure management
The fault library management system is used for perfecting and supplementing threshold alarm of the DCS, and the fault library management system and the DCS complement each other to finish equipment abnormity early warning together so as to ensure normal operation of equipment.
The fault management system applies a plurality of technologies such as logic expressions, historical data correlation, fine modeling and the like to assemble and uses corresponding diagnosis technologies aiming at different equipment types and different fault types.
Logical expression fault library
The technology uses a modularized logic expression similar to a DCS and a PLC system, combines various fault expressions according to abundant equipment operation and maintenance experience of engineers, performs equipment early warning when the condition of the logic expression is met, and can finish fault diagnosis of most of equipment. Representative device types: and (4) a belt measuring point device.
History data correlation fault library
The technology needs a large amount of historical data for support, the historical data is screened, refined, filled and tested by using a big data principle and a high-order algorithm, the parameter values under the current working condition are calculated according to the correlation among multiple parameters of the equipment, and when the actual values and the calculated values have larger difference, the system gives out early warning. The technology can predict the abnormal fault of an individual measuring instrument and the slow cracking fault of equipment. Representative device types: rotational devices, pressure vessel devices, and the like.
Thirdly, fault library for refined modeling
This technique is used for a specific device type. And leading a preset fault model into the system according to the specific operation mode of the equipment, and giving an early warning by the system according to the deviation measuring point when the operation working condition of the equipment is matched with the fault model.
3.6 maintenance management
Aiming at each fault early warning information in the fault library, the management center supports presetting of related maintenance contents, when early warning occurs, the system can automatically pop up corresponding equipment maintenance information, the contents comprise information such as work tickets, required tools and appliances, consumables, work risks, preventive measures, maintenance schemes, required personnel and predicted construction periods, and the like, and the maintenance personnel can efficiently and quickly complete related maintenance tasks and complete closed-loop processing of the equipment management center through related approval processes.
The work ticket content comprises the contents of equipment name numbers, work places, work contents, safety measures, work risks, safety measures and the like;
the tools and the consumables record all tools and consumable materials required by the maintenance work, so that the condition that maintenance time is missed and maintenance efficiency is reduced due to the fact that maintenance personnel forget to carry part of the tools and the consumable materials is avoided;
the maintenance scheme records all steps of the maintenance process, and maintainers can gradually complete maintenance tasks according to the maintenance scheme, so that the normalization of maintenance work is improved, and misoperation is prevented;
the required personnel and the estimated construction period are the personnel and time required by the maintenance work according to the maintenance work intensity, so that better personnel and work arrangement of managers is facilitated.
4.1 device Security management and control
(1) Big data real time device diagnostics
And analyzing the normal parameter set of each working condition of the equipment by retrieving and extracting historical massive parameters, and researching and analyzing the normal operating parameters of the equipment and the relevant operating parameters of the unit.
And training the function coefficient, the characteristic coefficient and the data characteristic based on the authoritative mechanism model according to the operation historical data. And analyzing the equipment fault sample by combining the operation data of the equipment technical supervision platform and the equipment fault time, calibrating and analyzing the fault sample, and establishing an equipment fault library.
And then according to a large number of historical data samples, finding out good and poor data sample fragments of the equipment, training the data samples in each equipment state to obtain classification models of the equipment in different states, and leading real-time data into the models to perform state recognition matching to obtain the most consistent equipment state, thereby achieving the effect of diagnosing equipment state faults.
(2) Device real-time data awareness
Utilize wireless sensing equipment (WIZBOX) to carry out real time monitoring to equipment temperature, humidity, vibration, noise, displacement etc. and then realize freely networking through the matching WIZAP communication frequency channel, directly communicate with the server through WIFI, the equipment operation information that will gather conveys the server. And finally realizing remote monitoring diagnosis and future equipment operation trend by fitting with a large data platform, wherein the WIZBOX is provided with a corresponding sensor and a Flash storage, and can record waveform or parameter information in a specified state.
Meanwhile, for positions of a support hanger of a high-temperature pipeline, a boiler expansion indicator and the like, manual work in severe environment cannot remotely detect, a blank area before can be effectively monitored through the WIZBOX, the coverage degree of a real-time monitoring area is improved, the monitoring level of equipment is improved, and a big data equipment evaluation module is combined, so that data support can be effectively provided for safe and stable operation of the equipment.
(3) Device emulation
And (3) manufacturing a high-precision 3D model of the typical equipment by relying on a three-dimensional modeling technology and a virtual reality technology. On the basis of a high-precision 3D equipment model, vivid and vivid three-dimensional interactive training courseware is manufactured, and dynamic demonstration explanation is carried out on information such as the structural composition of the equipment, the names of all components and the like by splitting or sectioning the 3D equipment model; simulating the running state of the equipment in normal working, and dynamically demonstrating and explaining the working principle of the equipment; by setting abnormal and dangerous working conditions, the training guide personnel adopt correct treatment means when dealing with accidents or early warning. Therefore, the visual training of the basic information, the structural composition, the working principle, the standard operation, the fault analysis and other contents of the equipment is realized, and the technical level of training personnel is improved.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.

Claims (9)

1. The utility model provides a natural gas modularization gathers intelligent management platform which characterized in that: mainly comprises a management system, a data acquisition, a data transmission and a production intellectualized management application module, wherein the production intellectualized management application module → the data acquisition → the data transmission → the management system
The production number intelligent management application module mainly comprises panoramic three-dimensional display, panoramic three-dimensional visualization and the like.
Data acquisition is mainly composed of three aspects: digital handover data acquisition, production information data acquisition and monitoring information data acquisition.
The management system mainly performs production operation management, process monitoring and alarming and data backtracking.
The management system comprises a WIZ PLANT module and a WIZ DATA module.
The monitoring information data acquisition mainly comprises the following steps: video monitoring information and gas monitoring information data.
2. The intelligent management platform for the modular collection of natural gas according to claim 1, wherein: the panoramic three-dimensional display comprises the following steps:
digital handover
The drawings, documents and data of different sources of design houses, construction units, debugging units and equipment manufacturers are combed, the digital handover of full-field full-professional data is realized, and the content of handover content data comprises the following steps: design data, installation data, equipment data, debugging data, acceptance data, completion data and a three-dimensional design model of a station yard (including a design yard, an equipment manufacturer and other system supporting manufacturers).
3. The intelligent management platform for the modular collection of natural gas according to claim 1, wherein: the panoramic three-dimensional visualization:
on the basis of digital handover, a wizPlayer three-dimensional engine is used in combination with station video monitoring information to express facilities with complex structures, complicated process flows and inaccurate positioning on graphic planes in a visual, three-dimensional and local microscopic precise manner, so that the vision of people is extended. The method realizes the integratable and associative management of digital information (three-dimensional models, engineering drawings, documents and the like) with the three-dimensional models as the core, and the visualized intelligent management.
The method mainly comprises the following steps:
-field well station, equipment layout visualization;
-visualization of the internal structure of the key device;
-life-time data digitization;
-data management profiling.
4. The intelligent management platform for the modular collection of natural gas according to claim 1, wherein: the digital handover data acquisition:
the digital transfer of the full-field full-professional data is realized by combing drawings, documents and data of different sources of design houses, construction units, debugging units and equipment manufacturers, and a static data knowledge graph taking KKS codes as a core is formed. The handover content data content includes: design data, installation data, equipment data, debugging data, acceptance data, completion data and a three-dimensional design model of a station yard.
5. The intelligent management platform for the modular collection of natural gas according to claim 1, wherein: the production information data acquisition mainly comprises the following steps: trial production data, production business data and production safety data.
Trial production information data: fluid volume (gas, oil, water), pressure (oil, casing pressure), well head temperature, production time, reservoir properties, fluid composition, static pressure, flow rate, pressure drop, oil and gas water sample analysis, and the like.
-production traffic data: production plan indices, task performance progress, oilfield company/plant level documentation, organizational structures, regulations, personnel information, tractor oil statistics, warehouse equipment part data, and the like.
-production safety data: the name, the number, the specification, the validity period, the use instruction and the like of safety precaution articles (such as fire extinguishers, medical articles, gas detectors, positive pressure respirators, shovels, sand barrels and the like).
6. The intelligent management platform for the modular collection of natural gas according to claim 1, wherein: the above-mentioned
-video surveillance information: the remote video monitoring module automatically calls video resources of the area, automatically monitors the important area at fixed points according to the conditions of site environment, production flow, equipment state, personnel position and the like, and after the factors such as operator departure, environmental risk and the like are eliminated, video monitoring is restored to a normal state, and the site is subjected to itinerant inspection.
-gas monitoring data: the four-in-one gas detector or other instruments capable of realizing toxic and harmful gas monitoring are used for periodically monitoring gas in a well station, and monitoring data are uploaded to a system platform manually.
7. The intelligent management platform for the modular collection of natural gas according to claim 1, wherein: the production operation management uses an information technology and big data cloud computing, helps production departments or production management personnel to establish and perfect business processes and management processes, and realizes the digital intelligent management and application of trial production.
-automatic reporting
By monitoring data transmission in real time, the system realizes automatic generation of reports of data and realizes functions of data display, query, export and the like in the forms of reports, curves, graphs and the like. And automatically generating corresponding reports according to the requirements of the clients, finishing daily reports, monthly reports and the like according to the requirements, and exporting the reports into an Excel table form.
8. The intelligent management platform for the modular collection of natural gas according to claim 1, wherein: the process monitoring and alarming system adopts the latest HTML5 technology to directly convert the main stream DCS picture into the system picture. And the DCS real-time monitoring data (process flow) is converted to display the whole generated process flow. Or when the object of the production object is in an abnormal state, the system can send alarm information to production management personnel through alarming, and the production management personnel realize remote control operation.
9. The intelligent management platform for the modular collection of natural gas according to claim 1, wherein: the data is traced back, the system supports the functions of historical playback and trend viewing, and the historical working conditions (all parameters and states) of the system can be reproduced by combining historical data. The user can play back and display all the measuring point data of the system page again, and the method supports the viewing of the picture state at any time in any period and any moment and keeps the parameter synchronism in the picture switching process. In the data cycle, a user can call picture playback and data playback in any time period at will, the multi-speed fast playback and slow playback functions are supported, and basis and means are provided for fault analysis, operation training, accident reproduction and the like.
CN202110985648.9A 2021-08-26 2021-08-26 Intelligent management platform is gathered to natural gas modularization Pending CN113689123A (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114971429A (en) * 2022-07-29 2022-08-30 盐城市佳鑫石化机械制造有限公司 Control system for natural gas exploitation
CN115358560A (en) * 2022-08-15 2022-11-18 西安华盛通信有限公司 Integrated collecting and monitoring platform for oil and gas field system
CN117150439A (en) * 2023-10-31 2023-12-01 北京奔驰汽车有限公司 Automobile manufacturing parameter detection method and system based on multi-source heterogeneous data fusion

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114971429A (en) * 2022-07-29 2022-08-30 盐城市佳鑫石化机械制造有限公司 Control system for natural gas exploitation
CN115358560A (en) * 2022-08-15 2022-11-18 西安华盛通信有限公司 Integrated collecting and monitoring platform for oil and gas field system
CN115358560B (en) * 2022-08-15 2023-10-17 西安华盛通信有限公司 Integrated collection monitoring system of oil gas field
CN117150439A (en) * 2023-10-31 2023-12-01 北京奔驰汽车有限公司 Automobile manufacturing parameter detection method and system based on multi-source heterogeneous data fusion
CN117150439B (en) * 2023-10-31 2023-12-26 北京奔驰汽车有限公司 Automobile manufacturing parameter detection method and system based on multi-source heterogeneous data fusion

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