In this study, the theory of nonlinear optimization is used to develop
a well-design computer model to determine the optimum directional par
ameters to minimize drilling depth and reduce drilling costs. The mode
l uses the sequential unconstrained minimization technique (SUMT) to m
inimize drilling-depth objective function. Also, the model is used to
calculate well. surveys, simulate bit walk, and determine optimum lead
angle to kick a well off: The minimum drilling depth is achieved at t
he minimum values for kickoff point, inclination, and angle-buildup an
d -dropoff rates. These minimum parameters reduce the dogleg severity,
which, in turn, reduces the chances for operational problems like hig
h torque and drag. The computer model has been validated by comparing
a conventional design and an optimized design for a well drilled in th
e Gulf of Suez. The optimization model produced less drilling depth an
d lower inclination and dogleg severity.