Research On Drilling Aging Analysis Technology Based On Big Data

With the application of data mining,intelligent decision-making and other data technologies in the field of oil and gas exploration and development,the digitalization degree of oil and gas exploration and development is getting higher and higher,which greatly promotes the cost reduction and efficiency increase of construction operations.However,in the current drilling operation,condition identification and time analysis mainly rely on the field operator's experience and instrumentation data.This method is inefficient and inaccurate in dealing with a large number of real-time data.Therefore,it is of great significance to develop computer software for automatic condition identification and time analysis by using a large number of logging data recorded in drilling process.Intelligent decision-making in drilling operation requires a large amount of logging data at first.Based on the investigation of the international common well site data transmission specifications,this paper develops a data transmission module conforming to WITS standard and WITSML standard by using socket interface based on TCP/IP,and realizes real-time data transmission between well site logging data and back-end server.Then,according to the design plan of drilling construction,11 drilling conditions are selected for identification,which basically cover all the drilling process.Aiming at the selected working conditions,the condition recognition models based on threshold method and neural network are developed respectively,and the judgment results of the two models are fused.Finally,time-effect statistics and analysis are carried out according to the results of condition identification,and a historical database of time-effect analysis is established based on the statistical results,which is convenient for comparison and analysis with historical data.Based on the above data transmission and condition identification solutions,this paper chooses C#.NET programming language and SQL Server 2014 database to develop drilling condition identification and time-effect analysis software.The software integrates real-time data transmission,drilling condition identification,drilling time analysis and other functions.The software is used to analyze the logging data of a well in Bohai Sea.The error between the results of drilling condition identification and time statistics and the actual situation is less than 6.5%.It improves the efficiency of condition identification,and can better help constructors optimize drilling parameters and improve drilling timeeffect.