Portable Oil And Gas Field Data Monitoring And Management System

With the development of big data technology,the petroleum industry is constantly moving towards the direction of digital oilfields.By integrating traditional industries with advanced industrial control technology,a data monitoring and management system with good control performance,high collection accuracy,and good operational stability is established.It is of great significance for the optimization of on-site construction in oil and gas fields and digital oilfield engineering.According to research,there are problems with some data acquisition systems still in service in oil fields,such as inconvenient transfer and maintenance of updates,outdated software and hardware technology,and a lack of on-site information processing functions,which cannot meet the data monitoring needs of today’s petroleum industry production sites.To solve these problems,this paper designs a new portable oil and gas field on-site data monitoring management system from three aspects: device portability,optimization of data acquisition functions,and adding new data analysis modules.In-depth theoretical research,simulation optimization,and on-site verification are carried out.The specific work and innovative points are as follows:(1)This study has completed the design of a portable control box.A highly integrated PLC device was used,and the layout of the control box and circuit cables were designed to optimize the space occupied by hardware equipment,making the device easy to update,maintain,and transfer.In addition,the study also wrote programs,providing a total of 26 analog inputs,14 digital inputs,and 10 digital outputs.Besides meeting the requirements of on-site data collection tasks,this control box also reserves interfaces for expanding data acquisition and industrial control functions.(2)The design of the oil and gas field on-site data monitoring management system is completed.Based on the multi-threaded design concept and on-site testing requirements,the basic functions of similar equipment are realized: user information and authority management,channel allocation,and channel parameter setting,trend curve setting,display,and export,alarm system,on-site parameter database,real-time and historical data report generation,and printing.A yield calculation and prediction module is added,and the data exchange and algorithm programs between modules are completed.(3)To solve the problem of low accuracy and small application range of the single-well production forecasting calculation method in trial production and stable production periods,an oil well production forecasting algorithm based on BP neural network and improved GM(1,1)optimization time series is proposed.For short-term production forecasting,an improved GM(1,1)forecasting model is proposed,which adds parameter correction to the forecasting model and optimizes the discrete process of the model to compensate for the deviation of gray derivative discrete process.For long-term production forecasting,a time-series method is used to combine BP neural network and the extracted results of short-term sampling characteristic values to optimize the algorithm’s prediction accuracy.The model is trained using multiple oil well production data information,and the accuracy of the model’s prediction results is analyzed.The results show that the average absolute error of the prediction results of this prediction model is 1.5453,and the prediction deviation is smaller than the traditional ARIMA algorithm and ARIMA-SVM algorithm,which can meet the requirements of actual working conditions.(4)This study has completed the task of on-site installation,debugging of equipment,and connection of wiring.The system’s functional performance was tested,and the results showed that the system can stably complete the task of collecting on-site analog signal information.The resolution is 2.44 m V,the collection rate is 1s,the maximum delay is 12.8ms,and the collection accuracy is ±1.5%.The average relative error of production calculation is 0.0326,indicating that the performance of the new system meets the industrial standards of on-site data acquisition system for oil and gas field production.This system adopts new functional architecture,modules,and algorithms,with low development and maintenance costs and strong practical value.