Applying a genetic neuro-model reference adaptive controller in drilling optimization

Motivated by rising drilling operation costs, the oil industry has shown a trend toward real-time measurements and control. Neural networks are used to model the rate of penetration while drilling, thus giving greater control over real-time logging tools that often require the driller to slow drilling to a specific penetration rate.