DEEP MODELING BASED ON DEEP LEARNING

摘要

Embodiments of the present technology for deep learning-based field modeling provide input data including information associated with one or more well logs in a region of interest. The present technology determines, based at least in part on input data, an input characteristic associated with a first deep neural network (DNN) for predicting a value of a property at a location within the region of interest. In addition, the present technology teaches, using the input data and based at least in part on the first input characteristic, the first DNN. The present technology predicts, using the first DNN, the property value at the location in the region of interest. The present technology uses a second DNN that ranks the facies based on the predicted property in the region of interest.