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 Beijing Dihang Times Technology Co.
 May 2024

 I. Product Positioning and Advantages

The integrated intelligent control system for production wells is a set of oil and water well production management and control system based on IOT sensing, artificial intelligence analysis and cloud-side collaboration, and the system realizes real-time monitoring, implementation diagnosis and production optimization of oil extraction wells (electric submerged wells, pumping machine wells) and water injection wells.

 1、IOT Sensing

One can quickly access the real-time production monitoring data of oil wells, realizing real-time data acquisition and storage of production parameters such as temperature, pressure, current and voltage of oil wells.

 2. Data transmission

One by one, it realizes the remote transmission of real-time data and control execution data, and at the same time, it can be quickly integrated with other existing IOT systems.

 3、Intelligent analysis

One realizes intelligent diagnosis of oil well production faults, intelligent calculation of night production, intelligent optimization of oil well production parameters and analysis of reservoir production efficiency.

 4、Intelligent control

On the basis of optimization and auxiliary analysis of oil well production parameters, it realizes the closed-loop management of remote adjustment and effect feedback of oil well production parameters.

 5. Cloud Edge Collaboration

One realizes the synergistic application of edge-side computing and analysis and cloud-side centralized monitoring, and achieves the cloud-side integration of edge-side data and the edge-side distribution of cloud-side intelligent algorithms. Precise Analysis
 Realization of oil well failure, oil well production
 Accurate analysis of the relationship between volume and reservoir injection and recovery

 Total control

Realize remote start/stop of oil wells. Comprehensive control of remote parameter adjustment and water injection optimization.

 II. Overall Product Architecture

The product architecture of Integrated Intelligent Control System for Production Wells is divided into 5 parts: data collection, edge computing, algorithm center, application layer and display layer. It realizes an integrated solution for the whole chain from data collection, transmission, storage, modeling, analysis to business application.

 III. Cloud Edge Collaborative Integration Application Model

Based on the concept of cloud-side collaboration, the integrated intelligent control system for production wells realizes data access and unified uploading of data at the well site through intelligent edge terminals, and at the same time realizes all kinds of diagnosis and analysis and remote control at the edge side. At the same time, the cloud realizes unified monitoring and production command of multiple well sites, cloud training of intelligent analysis models, reservoir analysis, knowledge management and other applications.

 IV. Edge computing capabilities

The high-performance edge gateway product Desert Fox II generation of Geohang Era can realize real-time data processing at the edge end and accurate measurement of the output of electric potential spring and real-time operation of fault analysis and diagnostic model, and at the same time, it will integrate the function of RTU to realize the access to all kinds of production data and video data and remote transmission of data.
 Intelligent IOT Terminal
9 in 2
 Hyperconvergence, Intelligence, Visualization

1x Desert Fox II +1x Electric Reference Module to form a wellhead control box: "Edge Computing Box + Video Processor + RTU + Electricity

9 units of equipment such as "Parameter + DTU + I/O module + Switch + Power module + Optical transceiver".

  • Processor: China NieTeng Atlas200 processor "4+1 core. Computing power", memory, built-in hard disk storage support for real-time processing of high-definition video and audio signals, and intelligent recognition and analysis of the environment.

  • Communication: Support MODBUS RTU/ASCI/TCP, UDP, DNS, MQTT , DNP3.0, IEC 60870-4104 and other optional, support customization;

  • Communication interfaces: 1 dry Gigabit Ethernet port, 4 4 100 Gigabit Ethernet ports (maximum support for 3-way POE power supply), 2 optical ports, 4 isolated RS-485 serial ports, 2 isolated RS-232 serial ports.

  • I/O interface: 8-way AI, 2-way AO, 8-way DI, 8-way DO;

  • Video Processing: Supports up to 12 channels 1080P/2 channels 4, H.264/H.265 Encoder hardware encoding capability, YUV420; Supports up to 20 channels 1080P/2 channels 4K, H.264/H.265 Decoder hardware decoding capability, YUV420;

  • Wireless communication: can be built-in module/wireless private network - TT module, NB-IOT module, zigbee module, WiFig module, GPS/BeiDou module; HDMI port supports external high-definition display.

 V. Algorithm Center Function - Electric Submerged Spring Well Flow Calculation

Through the establishment of multi-condition hydrodynamic modeling of electrosubmersible crooked wells, the Eulerian model and pressure head calculation are considered comprehensively, and the calculation output from size fitting, power calculation, performance correction, displacement head calculation to the final spring discharge result is realized based on the electrosubmersible crankshaft factory curve.

 2. Dimensional fitting

 V. Algorithm Center Function - Electric Submerged Spring Well Flow Calculation

Using the wellbore flow mechanism model, we can correct the measurement results of high gas content, high viscosity, and large gradient wells, and realize the correction of the calculation results of electric submerged hydraulic fluid production under the above three special production conditions, so as to ensure that the error of the calculation of the hydraulic fluid production under the special production conditions is not higher than .
 Gas Correction

Improvement of friction coefficient accuracy through experimentation or computational fluid dynamics Component effects (tubing, pumping rods, couplers, etc.) Viscosity and flow patterns Laminar, Turbulent Flow
 Viscosity Correction
 shaft inclination correction

 V. Algorithm Center Functions - Troubleshooting of Electric Submerged Spring Wells

The three-in-one diagnostic method of face recognition AI algorithm + expert diagnostic knowledge base + slope-assisted miasma is used to accurately diagnose common faults in the production of electric submerged spring wells.
 First diagnosis

Image Recognition Diagnostics (Conclusion: 1-3 results)

 Second diagnosis

Expert Knowledge Base Diagnostics (Conclusion: 1-2 results )
 Diagnosis of the slope of the complex figure of merit

 Third diagnosis

 Basic working conditions : 7 types

 V. Algorithm Center Function - Reservoir Production Dynamic Simulation Analysis

It can integrate well seismic multivariate multi-dimensional data for multi-attribute constrained 3D reservoir geological modeling, and at the same time, it supports two-way interoperability with the results of foreign modeling software. Numerical simulation adopts self-developed finite volume method simulator, which has been accumulated for more than 40 years and verified by hundreds of reservoir models, and supports unstructured grid simulation and CUP/GPU parallel computing. By constructing the integrated wellbore reservoir model, it can accurately simulate the cascading and backflow phenomenon that often occurs in domestic multi-layer oil and gas reservoirs.

 VI. Overall Product Functions

The product functions of the integrated intelligent control system for production wells include production monitoring, early warning analysis, remote control, reservoir analysis and other business applications, while expanding non-business functions such as system self-operation and maintenance and data equipment anomaly diagnosis.
 Production Well Integrated Intelligent Control System Functionality List :
 1、Real-time production integrated monitoring
 2, real-time production early warning analysis
 3、Real-time optimization of production parameters
 4、Remote production control
 5. Abnormal well disposal
 6. Reservoir production simulation and analysis
 7、Oil and water well production optimization auxiliary analysis
 8. Expert knowledge search and Q&A
 9. System self-operating maintenance monitoring
 10. Data link anomaly detection
 11. Abnormal detection of on-site IOT equipment

 VII. System application scenarios

It realizes intelligent sensing, intelligent analysis, intelligent decision-making, intelligent regulation and intelligent optimization in the whole process of oil well production, enabling digital transformation of oilfield development to improve efficiency and intelligent development of oilfield construction to improve quality.

 VIII. System user value

 IX. Comparison with foreign products

 Ground Navigation Company Products


Operation and maintenance realize process management from diagnosis, analysis, prediction to abnormality disposal, meanwhile provide reservoir analysis and knowledge management function.

The product follows the cloud-side collaboration architecture, and can be flexibly deployed according to the distribution characteristics of the wellsite to form a collaboration between the edge-side functions and the cloud functions.

Lower unit price and overall price due to lighter weight product architecture and rational product design.

Provide a full set of hardware and software flexible installation and deployment services, can be customized according to the demand for product customization, to provide different production characteristics of production wells model optimization customization services

Provide users with personalized operation and maintenance services, including product hardware maintenance and software iteration and upgrading, at the same time, the system comes with self-operation and maintenance system, operation and maintenance costs are lower than those of foreign products with the same kidney.
 Comparative advantages

Focuses on production well troubleshooting and fluid production calculation, but does not provide business management or other complex analytical functions.

The product is deployed in a centralized way, and all data need to be aggregated to the software deployment terminal for calculation and analysis.

Expensive in both the software and hardware sectors due to product development and production costs.

Usually tied to the sale of electric diving equipment, the product does not provide customized services product software model for a set of common models

O&M services are not usually provided as they are tied to the sale of other equipment and are heavily influenced by contracts for the purchase of other equipment.

The cost of operation and maintenance is high. The basic functions of production diagnosis and yield calculation are upgraded to the management of business processes and reservoir and knowledge management, realizing the whole life cycle management and auxiliary decision-making for production increase.

Flexible product architecture, on the edge side of the data can be analyzed in situ, to improve the corresponding speed, saving the deployment of the cost of the link cloud program problems do not affect the edge side of the diagnosis and computing

The price advantage is obvious, the deployment cost of the whole set of intelligent hardware and software accounts for a very small proportion of the overall production cost.

According to the actual needs of customers and site production characteristics, we can provide customized services for products and customized corrections and optimization of software models.

No need for high-cost operation and maintenance costs, you can complete the operation and maintenance of the product hardware and software, and at the same time can be customized according to customer requirements for the later development of the product.