Wellbore Trajectory Optimization Using Geological Inputs

References

1. Abughaban, M. F., Bialecki, B., Eustes, A. W., de Wardt, J. P., and Mullin, S.
   2016. Advanced trajectory computational model improves calculated borehole positioning, tortuosity and rugosity. Presented at the IADC/SPE Drilling Conference and Exhibition, Fort Worth, Texas, 1–3 March.
   [Google Scholar]
2. Himmerlberg, N., and Eckert, A.
   , 2013. Wellbore Trajectory Planning for Complex Stress States. American Rock Mechanics Association.
   [Google Scholar]
3. Gardner, G.H.F., GardnerL.W., and GregoryA.R.
   , 1974. Formation velocity and density--the diagnostic basics for stratigraphic. Geophysics, 39: 770–780.
   [Google Scholar]
4. Elhakam, A, and Elmoaty, A.
   , 2012. Reliability of using nondestructive tests to estimate compressive strength of building stones and bricks. Alexandria Engineering Journal, 51: 193–203.
   [Google Scholar]
5. Chary, K.B., Sarma, L.P., Prasanna Lakshmi. K.J., Vijayakumar, N.A., Naga Lakshmi, V., and RaoM.
   , 2016. Evaluation of Engineering Properties of Rock Using Ultrasonic Pulse Velocity and Uniaxial Compressive Strength. National Seminar on Non-Destructive Evaluation.
   [Google Scholar]
6. N.V.Chawla, N.V., Bowyer, K.W., HallL.O., and Kegelmeyer, W.P.
   , 2002. SMOTE: Synthetic Minority Over-Sampling Technique. J. Artificial Intelligence Research, 16.
   [Google Scholar]