Applied Research On How To Improve The Quality Of Engineer Operation Through The Combination Of Internet Of Things And Big Data Storage

During the Twelfth Five-Year Plan period,our country and group headquarters paid more attentions to technologies of Internet of Things and big data and therefore planned a AA system through the combination of both of them for the purpose of improving technology operational quality,work efficiency,the abilities of automated operation in the field of petroleum engineering and other related skills,such as:the timeliness,accuracy and transmission efficiency of survey data,few manual reporting work at the scene,the abilities of long-distance decision support,multidisciplinary data sharing and cooperative work with all the people,and reducing the errors appeared in the process of operation and the pressures of activity costs for working more safely and the fruits being delivered more quickly,hereafter to be referred as AA system.As the rise of these two technologies,more and more opportunities are provided for settling the problems of Internet on objects and the publications of large capability storage.Information interconnection between objects can be realized under a specific environment through a variety of wireless,wires and satellites by Internet of Things technology on the basis of intelligent sensors of equipment.At the same time,some other services are also able to be showed through security network mechanism,for example:online real time monitoring,early warning,alarm,remote control,decision support and so on.Now business data collected by equipment is increasing rapidly in the form of geometric progression and the numbers of this data are produced more than at lease 100G per day.Some traditional database technologies could have not satisfied its performance and storage requirements because of its increases.However its reliability,concurrency and availability are able to be highly enhanced through the rise of big data technology and it also can guide the staff to work immediately through the analysis and search to this large volume data.Previous research showed that there still exist some differences for data acquisition equipment and transmission,data storage and some other application systems between all branch companies of the Group.When working at the wellsite we found some problems,for example:data cannot be automatically extracted and has to be input by hand,no-unified collection standards,no-solided data storage and so on.Moreover,the data collected also had to be copied from instruments by workers who finished their tasks in the same day and were then taken back to camp for analysis.So they are not the live ones and could not be shared under more majors as well.For the above problems this project mainly focused on improving operation standard of the site for realizing information comprehensive application and building an remote operation support center for operation optimization and production cooperation through the combination of two kinds of technologies:Internet of things and big data.In conclusion,the final aim of this project is to create an more professional cooperative service platform for data acquisition and application and improve the abilities of integrated services.