| At present,the global demand for oil continues to grow,promoting the continuous development of the oil industry,including drilling engineering technology has been progress and innovation,which greatly improves the drilling efficiency and reduces the drilling cost.Techniques such as machine learning and data analysis are increasingly being used in drilling engineering,not only to help drillers avoid high-risk tasks,but also to provide a platform to monitor changes in drill parameters in real time.At the same time,it can also correct the attitude error of the drill tool,and compare the well trajectory with the preset well trajectory curve,which provides a visual interface for adjusting the direction of the drill tool in the next stage,greatly reducing the possibility of collision with the adjacent well and side well,and improving the quality of the drilling operation.In this paper,the mathematical model of borehole orbit is introduced first,and various parameters used to describe the morphological characteristics of borehole orbit are introduced.Then,the attitude measurement model while drilling was constructed by quaternion method and solved by stochastic gradient descent method.Then,starting from the localization problem of azimuth,a new method combining the Density-Based Spatial Clustering of Applications with Noise(DBSCAN)and multipoint analysis method is proposed to correct azimuth.The calculation method of borehole trajectory is also introduced.In addition,two development platforms,Py Charm and Qt,were used to write a system for 3D visualization of borehole curves.Finally,physical experiments show that the attitude measurement model has high convergence accuracy and is suitable for processing large amounts of data.By analyzing the data of the control group,the results show that the azimuth correction method can not only further improve the fitting effect of elliptic correction,but also reduce the influence of noise on the calculated values of reference points.The calculated variance curve is more convergent and stable,and the azimuth error is further reduced after correction.A simple functional test of the visualization system is also carried out.The above research results can provide a good visual environment and real graphic reference for oil and gas drillers to realize remote decision making and well site workers to study drilling operations. |
