الفهرس 
Using artificial neural networks to predict the rheological behavior of drilling fluids
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Abstract
Abstract
Drilling process is one of the main operations in the extraction of hydrocarbons from
petroleum reservoirs. It comes right after the exploration processes. Drilling fluids are
necessary for controlling the wells and performing different functions during the drilling
operation. They perform many roles in lifting the cuttings from the bottom of the well to
the surface and cooling/lubricating the drill string and bit. Furthermore, they provide the
desired hydrostatic pressure to overbalance pore pressure in addition to produce a
thin/impermeable filter cake that can prevent or reduce the possible damage to the
formations. It is mandatory to keep monitoring, enhancing, and optimizing the properties
of the drilling fluids