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Today, a large part of the energy input at the drilling rig floor may never reach
the drill bit. Instead of cutting rock, energy is lost through friction, mechanical
shock and vibration—all of which can lead to premature failure of downhole equipment,
longer drilling times and higher economic and technical risks. Indeed, the motion
of thousands of meters of spaghetti-like pipe in a wellbore a few tens of centimeters
in diameter is prone to all manner of mechanical behavior that is only becoming
understood today. In fact, studies have shown that improvement in the management
of energy input at the surface can increase downhole tool reliability by a factor
of two or three.
From the drill bit to the rig floor—if it can’t be measured…
At the same time, drilling performance is constrained by the ability to understand
and control the downhole environment—including reservoir characteristics, rock
properties, drilling fluid behavior and borehole pressure. Real-time data transmitted
from the bottomhole drilling assembly already provide much valuable information,
but the integration and control of drilling components require a wider range of
recorded parameters in addition to measurement continuity, from the drill bit
to the rig floor. After all, what cannot be measured cannot be controlled or improved.
Drilling—from an art form to a science
Achieving a step change in drilling performance begins with recognizing the three
key objectives of the workflow. The first of these is increasing overall drilling
efficiency, which is a function of the rate of penetration and the overall time
actually spent drilling. The second is precise well placement and formation evaluation
to maximize production and provide quantitative reservoir characterization. The
third objective is wellbore evaluation and assurance, defined as the need to protect
the integrity of the well throughout its productive life.
Reaching these objectives requires a move from regarding drilling as an art form
to thinking of it as a science. As such, a much greater degree of optimization
is necessary across the drilling workflow, from the development of technology
through its application in the field.
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