Planning high-angle
wells involves diverse areas; one of the most
important of these areas is torque and drag (T&D) management.
Not only could uncontrolled T&D cause various drilling problems
like drill string (D/S) failures, casing wear, stuck pipes, and slow
rates of penetration but it could also entirely stop the drilling
progress, if torque and/or drag exceed rig or string capabilities.
Modeling T&D in advance would alleviate these problems by prediction
of friction forces to be encountered and urging the drilling team
to take the required measures to mitigate these forces or upgrade
the drilling hardware (rig equipment and/or D/S). Modeling T&D
is still a complex and time-consuming job to be carried out at the
rig site while drilling, so that an accurate and rig-friendly model
would be very useful to industry. In this work, a novel and simple
model had been developed to predict T&D values while drilling
both curve and tangent sections of high-angle wells based on a soft-string
concept, in which the D/S is assumed to be a chain lying on the lower
side of the well that can transmit torsional forces. Despite the simplicity
of the calculations, the model accounts for components of drilling
torque that are overlooked in most complex packages. Friction within
the top drive system had been considered to predict the torque acting
on the D/S only. In addition, the torque applied on the D/S by the
viscous drilling fluid was accounted for by reversing the concept
of viscometers. The model proved to be practical and reliable for
the two-dimensional wellbore and thus is superior in terms of quick
field application. The developed model was tested using data from
the Western Desert, Egypt. Statistical analysis had been used to assure
the accuracy of the proposed model and to assess the effect of different
drilling parameters and practices on both T&D. The reliability
of the model had been proven with a negligible error for drag calculations
and 10% error on average for torque calculations. Also, the effect
of distance between successive survey stations on T&D modeling
had been proven mathematically. This research narrows the gap between
theory and practice by studying the dominant factors and determining
the extent of the effect of each of them on wellbore friction forces.
In addition, the work sheds light on the best practices concluded
from the application of the developed model on field data.