The Essential Research Of Logging Real-Time Monitoring Platform Based On Flink Big Data Technology

With the rapid development of the digital age today,regardless of whether the industry just needs or based on the exploration of new development models,traditional industries are also actively transforming to seek new breakthroughs.In the oilfield production industry,digital oilfield exploration and production are indispensable in the process of enterprise development,and are the most directly faced link.Mud logging is a very important task in oilfield exploration and production.It is a wellbore exploration technology that integrates geology,electromechanics,chemical analysis,and computers.It collects,organizes,and analyzes a large amount of first-hand information during drilling,establishes formation profiles while drilling,discovers and evaluates oil and gas layers,and helps Drilling safety construction and protection of oil and gas layers.At present,most of the logging work still takes place on the well site,and some staff members are expected to be on the project site.They are usually responsible for the data maintenance and entry of field instruments,as well as some other maintenance work on equipment,with difficult conditions and heavy tasks.With the development of informatization of on-site production and operation activities in the oil field,some advanced equipment has greatly reduced the workload of on-site staff.Today,mud logging is still facing a problem.Facing the data records collected by a large number of digital instruments and equipment,logging staff need to do a lot of sorting and analysis work,and then make drawings and data proofreading.These complicated tasks greatly reduce the efficiency of staff data analysis.This article starts with real-time logging data monitoring and data visualization analysis,real-time collection of oilfield logging data,and real-time chart production,to achieve remote logging monitoring;at the same time monitoring of abnormal logging data and alarm prompts,so that work can be done Personnel discover problems in time and solve them.In the first chapter,the paper describes in detail the current development of logging technology information and the research status of big data real-time processing technology.The second chapter,through the actual demand analysis of the thesis platform,lays the direction for the design and research of the next platform.The third chapter introduces all the theoretical knowledge of big data technology in the project.The fourth chapter,through the realization of the data flow of the platform,has completed the construction of the platform and the realization of the requirements.And test and optimize each data link process,and put forward an abnormal monitoring algorithm model of logging data.The fifth chapter optimizes the parameters of each module to further reduce the system data processing delay.And the overall flow link was tested for delay and fault recovery,which proved the stability and real-time performance of the system.The sixth chapter summarizes the research results of the thesis,and at the same time clarifies the current research deficiencies and the direction of further research.