METHOD FOR CREATING A SHALE GAS PRODUCTION FORECASTING MODEL USING DEEP LEARNING

摘要

Disclosed is a method for generating a shale gas production estimation model by using deep learning performed by a computing device. According to an embodiment of the present invention, the method for generating a shale gas production estimation model by using deep learning comprises: a training oil well data acquisition step of acquiring training oil well data including production information and characteristic information of a training oil well; a preprocessing step of preprocessing the training oil well data; and an estimation model generation step of generating a shale gas production estimation model by training the preprocessed training oil well data through a network using a recurrent neural network, wherein the characteristic information includes shut-in information acquired based on the production information.