Home           Contact us           FAQs           
 
   Journal Page   |   Aims & Scope   |   Author Guideline   |   Editorial Board   |   Search
    Abstract
2013 (Vol. 6, Issue: 21)
Article Information:

Research on Three-dimensional Modeling and Visualization for Well Trajectory of Drilling

Gao Xiaorong, Guo Xiaoyang and Xu Yingzhuo
Corresponding Author:  Xu Yingzhuo 

Key words:  Slice, three-dimensional modeling, visualization, well trajectory, , ,
Vol. 6 , (21): 4046-4051
Submitted Accepted Published
January 26, 2013 March 02, 2013 November 20, 2013
Abstract:

This study aims to realize 3D visualization of well trajectory more efficiently by use of a new method. In view of the shortcomings of traditional three-dimensional (3D) modeling methods for well trajectory, a new method of slice-based 3D modeling for the tubular well trajectory was put forward, by which a 3D well trajectory model was established. The method can realize the 3D tubular well trajectory seamless connection efficiently and conveniently without interpolation smoothing treatment of the well trajectory’s crook. In order to provide a convenience to observe and analyze intuitively as well as control the well trajectory effectively in drilling for the drilling staff, realized 3D visualization of the well trajectory based on virtual reality technology and provided flexible human-computer interaction functions with which the drilling staff can make interactive operation such as zooming, translating and rotating, etc., for the 3D well trajectory. Consequently, the well trajectory can be observed from multi-azimuth and multi-angle, improving the oil reservoir encountering rate. Finally, an application example of 3D visualization for well trajectory in Dagang Oilfield was given.
Abstract PDF HTML
  Cite this Reference:
Gao Xiaorong, Guo Xiaoyang and Xu Yingzhuo, 2013. Research on Three-dimensional Modeling and Visualization for Well Trajectory of Drilling.  Research Journal of Applied Sciences, Engineering and Technology, 6(21): 4046-4051.
    Advertise with us
 
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Current Information
   Sales & Services
   Contact Information
  Executive Managing Editor
  Email: admin@maxwellsci.com
  Publishing Editor
  Email: support@maxwellsci.com
  Account Manager
  Email: faisalm@maxwellsci.com
  Journal Editor
  Email: admin@maxwellsci.com
  Press Department
  Email: press@maxwellsci.com
Home  |  Contact us  |  About us  |  Privacy Policy
Copyright © 2009. MAXWELL Science Publication, a division of MAXWELLl Scientific Organization. All rights reserved