Neural network modeling in well drilling

The article examines modern methods of neural network modeling applied to optimize well drilling processes. The capabilities of artificial neural networks (ANNs) in predicting complications, selecting optimal drilling parameters, and interpreting geological and geophysical data are explored. Special attention is paid to practical examples of neural network technology implementation in the oil and gas industry, as well as an analysis of their effectiveness compared to traditional methods. Key advantages, including improved prediction accuracy, cost reduction, and risk minimization, are discussed, along with potential limitations related to data quality and algorithm complexity.