Woong-Gyu Choi

Enhancing shale gas production forecasting performance using bidirectional gated recurrent unit with integration of attention mechanism and Fourier analysis networks

Recurrent Neural Networks (RNNs) often lose initial training information and treat all time-series data as continuously periodic, which limits their ability to account for production changes in shale gas caused by sporadic non-periodic features. This study aimed to overcome the l...