Font Size: a A A

Prediction Of Wellbore Trajectory And 3D Visualization Of Well Trajectory

Posted on:2018-01-17Degree:MasterType:Thesis
Country:ChinaCandidate:Y YuanFull Text:PDF
GTID:2321330512497386Subject:Computer Technology and Resource Information Engineering
Abstract/Summary:PDF Full Text Request
With the rapid development of the oil industry,the intensity of oil drilling is increasing,the relevant drilling technology is constantly improving,similar to the directional wells,horizontal wells such as difficult wells,in the oil drilling occupy more and more proportion.Because the wellbore trajectory of the well exists in the ground,only a large number of wellbore trajectory data can be monitored by drilling with the drill to monitor the well trajectory,but the data is large and difficult to understand;and the various data obtained by Bottom Hole Assembly(BHA)from the Measure While Drilling(MWD)sensors,which is generally 8-20 m from the bottom of the drill bit measurement distance,the measured data can't be a good reflection of the drill bit at the actual wellbore situation;drilling site Of the staff of the replacement speed is also accelerating,young,less experienced workforce to join a large number of drilling construction work,these people can't be well through the traditional well trajectory data analysis and two-dimensional well trajectory description To distinguish the situation of the wellbore trajectory,these conditions have brought difficulties for the well trajectory control,for the safety of drilling production has brought hidden dangers.Based on the study of the geometrical analysis of wellbore trajectory,this paper focuses on the construction of drilling site and combines the computer-related methods to establish the azimuth coordinates of the well trajectory by selecting a simple and feasible method The method is based on the support vector machine(SVM)method to establish the intelligent prediction method of well trajectory.The feasibility and accuracy of the forecasting method are verified by the data obtained by on-the-spot drilling.The method is optimized by particle swarm optimization.Graphics and visualization of the study,the establishment of three-dimensional visualization of the trajectory of the well,in order to facilitate the observation and analysis of personnel in order to facilitate the effective control of the well trajectory.
Keywords/Search Tags:well trajectory prediction, support vector machine, least squares, visualization, PSO
PDF Full Text Request
Related items