Neural network model of the wells' drilling speed and modes predicting in complex reservoirs

The article considers the problem connected with study of well drilling rates in complex reservoirs. Its solution is presented form a neural network model that takes into account structural, geomechanical and technological features «rock mass — well» system. possibility predicting method different strength structural-lithological characteristics massif, based on modeling, presented. purpose this to obtain mathematical models for analysis probabilistic statistical patterns processes conditions uncertainty. scientific novelty work performed qualitative quantitative assessment mutual influence geological factors rate; search optimal modes reservoirs basis modeling.