In - depth Analysis and Prospect of the Intelligent Oilfield Construction Plan for Hulongmiao Operation Area, No.3 Oil Production Plant of Changqing Oilfield
I. Project Background and Driving Factors
In the current wave of development in the petroleum industry, intelligent transformation has become an irresistible trend. Changqing Oilfield has actively responded to the call of the times and carefully planned the far-reaching "326 Project", aiming to deeply integrate the new generation of information technology with the main business and build an intelligent oil and gas field with the industry's leading level, thus laying a solid foundation for the company's high-quality "second accelerated development". The Hulongmiao Operation Area has accurately grasped this historical opportunity and the urgent need for its own development and resolutely embarked on the journey of building an intelligent oil field. The production environment of the operation area is complex and changeable. The traditional production management model has gradually revealed many drawbacks in the face of increasing production targets, strict safety and environmental protection requirements and fierce market competition. In order to break through these difficulties and achieve sustainable development, intelligent construction has become the inevitable choice for the operation area.
II. Project Objectives and Strategic Vision
The core objective of the intelligent oil field construction in the Hulongmiao Operation Area is to comprehensively build an intelligent production, construction and oil production operation area and trigger intelligent profound changes in multiple dimensions such as safety and environmental protection, production operation, technical management and management decision-making. Specifically, it is committed to reducing the comprehensive manpower per well to ≤0.5 person/well or greatly increasing the labor productivity to ≥899 tons/person, so as to achieve the key indicators of improving quality and efficiency. The achievement of this goal will effectively promote the operation area to set an example of intelligent production in the industry, not only significantly improve the production efficiency and reduce the cost, but also greatly enhance the core competitiveness of the operation area in the market and ensure that it always maintains a leading position in the future development and makes important contributions to the overall development of Changqing Oilfield.
III. Blueprint for Intelligent Construction Planning
Overall Design Concept and Architecture Adhering to the concept of innovation and integration, the operation area has made every effort to build an intelligent operation framework. By deeply integrating various existing system resources and actively developing a series of targeted intelligent applications, it has successfully constructed an intelligent linkage system from oil wells, well stations to the operation area and even the entire oil production plant. This system is like an organic whole, ensuring the efficient circulation and collaborative processing of information at all levels and providing solid technical support for the smooth progress of intelligent production and realizing the comprehensive perception, intelligent decision-making and precise control of the production process.
Detailed Description of Specific Construction Schemes
Upgrade Strategy for Front-end Data Acquisition: At the well group and station ends, a series of comprehensive and forward-looking data acquisition upgrade measures have been implemented. On the one hand, some ordinary cameras have been actively upgraded to high-definition low-illumination cameras, greatly improving the clarity and accuracy of video monitoring and making them better adapt to the complex production environment and providing high-quality image data for subsequent intelligent video analysis. On the other hand, the RTU in the well site has been upgraded and reconstructed to have more powerful data acquisition and processing capabilities. At the same time, new automatic ball throwing devices have been carefully equipped in some well sites, effectively improving the automation level and stability of well group data acquisition. In addition, the network has been optimized to ensure the efficiency and safety of data transmission, laying a solid data foundation for intelligent production.
Enhancement Path of Middle-end Intelligent Analysis: Focusing on the key areas such as oil well working condition diagnosis and fault prediction, the middle-end intelligent analysis ability has been vigorously strengthened. With the help of advanced edge computing RTU and deeply integrating cutting-edge technologies such as deep learning and machine learning, a highly intelligent diagnosis and prediction model has been constructed. Through the in-depth mining and analysis of a large amount of historical data, the early accurate identification of faults such as wax deposition and pump leakage in pumping wells has been realized, and early warnings can be issued in time at the fault germination stage, providing sufficient time for production management personnel to take effective preventive measures, thus avoiding the possible production loss and production efficiency decline in the later stage. At the same time, a major breakthrough has been made in the calculation of dynamic liquid level change. By using the machine learning method combined with the measured data, an accurate prediction model has been established to realize the real-time monitoring and accurate calculation of the dynamic liquid level change, providing an important basis for the optimization and adjustment of oil well production parameters.
Integration and Development Direction of Back-end Applications: Focusing on building an integrated platform and comprehensively deepening the intelligent applications in the fields of safety and environmental protection, production operation, technical management and management decision-making. In the field of safety and environmental protection, by optimizing the alarm system and using advanced algorithms to deeply process the alarm data, the false alarm information is accurately removed and the alarm threshold is optimized to ensure the timeliness and accuracy of the alarm. In the aspect of production operation, a powerful intelligent analysis system has been developed to realize the whole process monitoring and intelligent scheduling of the production process and adjust the production strategy in time according to the real-time production data to improve the production efficiency. At the technical management and management decision-making level, various data resources have been integrated and a series of professional analysis tools have been developed to provide scientific decision-making support for technical personnel and management personnel and help the oil field achieve fine management.
IV. Core Measures and Practical Paths for Management Optimization
Deep Reform of Organizational Structure The organizational structure has been drastically adjusted and the management level has been streamlined to the operation area - well station two levels. In this process, the setting and responsibilities of each post have been comprehensively optimized and the key points and scope of authority of each post have been clearly defined. By reducing the intermediate links, the speed of information transmission and the efficiency of decision execution have been significantly improved, making the production management of the operation area more flexible and efficient and able to quickly respond to market changes and production needs.
Innovative Mode of Unattended Management Comprehensively using intelligent well patrol, edge computing technology and advanced management mode optimization means, we have made every effort to build an intelligent operation system for unattended stations. The management objectives and operation procedures of unattended stations have been clearly defined and detailed specifications have been formulated for all links from equipment monitoring, fault warning to emergency treatment. With the help of intelligent technology, the remote real-time monitoring and automatic control of station equipment have been realized to ensure the safe and stable operation of the station in the case of unattended, greatly improving the production efficiency and reducing the labor cost.
Fine Construction of Single Well Production Management System Closely centering on the core indicator of single well production, an intelligent management system has been carefully constructed. Through the accurate acquisition of front-end data, the in-depth analysis of middle-end data and the effective implementation of back-end intelligent decision-making, the data flow and business flow of single well production have been successfully connected. The whole process intelligent tracking management from oil well production parameter monitoring, production prediction to production scheme adjustment has been realized to ensure that each oil well can be in the best production state and maximize the single well production and economic benefits.
Optimization and Upgrade Strategy of Employee Business Flow The monitoring mode has been comprehensively changed and the intelligent work order is taken as the core to drive the task arrangement of employees. The AI video technology is used to comprehensively supervise the production process to ensure the standardization and efficiency of employees' work. The intelligent work order system automatically generates detailed task lists and accurately distributes them to employees according to the production plan and equipment status. Employees can obtain task information and operation guidance in real time through the mobile terminal during the task execution process and feedback the results in time after the task is completed. The AI video supervision realizes the 24-hour continuous monitoring of the production site and can detect abnormal situations in time and notify the relevant personnel to handle them, effectively improving the work coordination and overall efficiency.
V. Implementation Plan and Panoramic Outlook of Expected Benefits
Detailed Steps of Implementation Plan The project implementation period is carefully planned to be 12 months and is divided into key stages such as detailed design, development and construction, testing and trial operation in turn. In the detailed design stage, a professional team is organized to conduct in-depth research on the production process and requirements of the operation area and formulate a detailed and feasible design scheme in combination with advanced technical concepts. In the development and construction stage, all construction tasks are advanced in an orderly manner according to the design scheme to ensure the installation and commissioning of hardware equipment and the development and improvement of software systems. In the testing and trial operation stage, the completed system is comprehensively tested and various production scenarios are simulated to detect and solve potential problems in time to ensure the stable operation of the system after it is officially put into use. The tasks of each stage are clearly divided and the time arrangement is compact and orderly.
Comprehensive Presentation of Expected Benefits
Significant Improvement of Safety Efficiency: Through all-round visual supervision of the whole process of the operation site, black screen early warning monitoring of key parameters and interlocking control of the emergency state of key processes, the safety risk of the operation area has been effectively reduced and the intrinsic safety level has achieved a qualitative leap. Visual supervision uses high-definition cameras and intelligent video analysis systems to monitor personnel, equipment and environment in real time and detect potential safety hazards in time. The black screen early warning monitoring pushes early warning information to relevant personnel at the first time when an abnormal situation occurs to ensure that the problem can be handled in time. The interlocking control of the emergency state can automatically start the corresponding emergency measures in an emergency to ensure the production safety.
Great Leap in Production Efficiency: With the help of strengthened process control means, the online real-time inventory of crude oil production, the rapid and accurate diagnosis of oil and water well working conditions and the whole process closed-loop management of key work have been successfully realized. By collecting and analyzing production data in real time, the trend of production change can be grasped in time, the working conditions of oil and water wells can be monitored and diagnosed intelligently in real time, production problems can be detected and solved in advance, the emergency response time can be shortened and the efficient and stable operation of the production process can be ensured, effectively improving the production efficiency and economic benefits.
Upgrade of Management Fine Degree: Relying on the technical support decision-making system, fine management has been realized in the aspects of report management, reservoir management, measure well selection and injection-production adjustment. Through the automatic report generation and intelligent analysis tools, the hands of technical personnel have been liberated and they can devote more energy to technical research and innovation. In the aspect of reservoir management, the dynamic situation of the reservoir is deeply understood and the mining scheme is optimized by using big data and intelligent analysis technology. The potential wells are accurately identified and the measure effect is improved by using scientific mathematical models and multi-type algorithms in the measure well selection. The injection-production adjustment realizes the intelligent dynamic adjustment according to the reservoir characteristics and production data and improves the overall development level of the oil field.
Comprehensive Improvement of Employee Well-being: With the progress of intelligent construction, the working and living conditions of employees have been significantly improved. The working environment is safer and more comfortable and the labor intensity is greatly reduced. The sense of responsibility of employees is continuously enhanced under the incentive of intelligent applications and early warning push, and the team cohesion is continuously enhanced in the centralized management and rich collective activities. The optimization of the employee rotation system gives employees more rest time and the happiness index is significantly improved, fully reflecting the people-oriented development concept and injecting strong impetus into the sustainable development of the operation area.
VI. Solid and Continuous Support of Guarantee Measures
Synergistic and Efficient Operation Mechanism of the Project Team The production capacity construction, the factory digital information center and the operation area closely cooperate to form a strong working force. In the scheme preparation stage, all parties give full play to their professional advantages and jointly discuss and formulate a scientific and reasonable construction scheme. In the review process, strict checks are carried out to ensure that the scheme meets the technical standards and actual needs. In the construction process, the on-site management and coordination are strengthened and the problems arising in the construction are solved in time. In the system matching aspect, the construction of various supporting facilities and system commissioning are coordinated to ensure the overall coordination of the project. By regularly holding regular meetings, the project team leader can timely understand the project progress, coordinate various resources and solve key problems to ensure the smooth progress of the project.
Enhancement and Promotion Strategy of Operation and Maintenance Management Adhering to the problem-oriented principle and taking "platform index benchmarking and on-site problem supervision" as the important starting point, we have made every effort to improve the operation and maintenance indicators. We have carefully consolidated the three-level autonomous operation and maintenance system and reasonably divided 30 digital maintenance contents, clearly defining the maintenance responsibilities and interfaces of the central station level maintenance personnel, the operation area level maintenance class and the contractor. The central station level maintenance personnel are responsible for the daily maintenance and simple fault handling of the core equipment in the station. The operation area level maintenance class undertakes the maintenance and maintenance work of most digital equipment. The contractor plays an important role in professional fields such as climbing and emergency repair to ensure that the autonomous maintenance personnel and the contractor maintenance team have clear division of labor and smooth cooperation and the digital daily operation and maintenance work is carried out efficiently and orderly, providing reliable guarantee for the stable operation of the intelligent oil field.
Improved Support Framework of Training System Closely following the existing operation and maintenance mode and training system, a training system suitable for the needs of intelligent construction is constructed. For 30 operation and maintenance works, professional and detailed digital training plans are formulated one by one, covering different levels such as professional maintenance personnel, on-site operation and maintenance personnel and general operators. Through the links of theoretical learning, practical operation and assessment and evaluation, a closed-loop management mechanism of training - verification - training - operation is formed. In the training process, attention is paid to cultivating the practical operation ability and problem-solving ability of the trainees and at the same time strengthening the learning of production construction norms and construction standards and cultivating professional personnel for digital production construction quality supervision and strengthening daily supervision to ensure the high-quality intelligent construction and operation and maintenance and provide solid talent guarantee for the intelligent development of the operation area.