Drilling speed, or in other words, the drill penetration rate is one of the most important parameters in drilling operations. Since drilling operations account for a significant share of the cost of exploration and exploitation of hydrocarbon materials, the estimation of drilling speed is of particular importance. It is important to obtain the correct relationship between the drilling parameters to estimate the speed of drilling. Neural networks are able to determine the correct relationship between drilling permeation and drilling rates.#MATLAB
ANN can be good substitute to simulators or software that take long time in order to predict a parameters. ANN can be trained with lower number of simulations or experimental data and be able of predicting new configurations or relationships. ANN applies layers and units to process input data and build a network that fits the data. It depends on your input layers size and the complexity of the problem to choose number of hidden layers and units.
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