Petroleum and Natural Gas still represent a considerable share in terms of
energy consumption in the current global matrix, so that its exploration/exploitation
is present in the market and driving activities in locations of specific
complexities, as the ones along unconventional hydrocarbon resources
from the Brazilian pre-salt. The daily cost of well drilling under harsh conditions
can exceed US $1 million a day, turning any type of downtime or necessary
maintenance during the activities to be very costly, moment in which
processes optimization starts to be a key factor in costs reduction. Thus, new
technologies and methods in terms of automating and optimizing the processes
may be of great advantages, having its impact in total related project costs. In
this context, the goal of this research is to allow a computation tool supporting
achieving a more efficient drilling process, by means of drilling mechanics
parameters choosiness aiming rate of penetration (ROP) maximization and
mechanic specific energy (MSE) minimization. Conceptually, driven by the
pre-operational drilling test curve trends, the proposed system allows it to be
performed with less human influences and being updateable automatically,
allowing more precision and time reduction by selecting optimum parameters. A Web Operating System (Web OS) was designed and implemented,
running in online servers, granting accessibility to it with any device that has
a browser and internet connection. It allows processing the drilling parameters
supplied and feed into it, issuing outcomes with optimum values in a
faster and precise way, allowing reducing operating time.