… deep learning to predict shale-gas production. Next, we describe the structure of the neural
network designed for predicting shale-gas production … of deep-learning algorithms. Last, we …

… presents an alternative proxy model based on data-driven deep learning model. Furthermore,
… model, but also verifies using field data for 1239 horizontal wells from the Montney shale …

… Marcellus shale, Eagle Ford shale, and Bakken Shale. … shale gas models are also discussed
in this manuscript. In addition, the methodology comparison of different machine learning …

… The global shale gas resources are … of shale gas extraction technology, the production of
shale gas continues to grow rapidly. As an important unconventional natural gas, shale gas is …

… , deep learning models are developed based on a multilayer perceptron to forecast 12 month
cumulative produced shale gas and 90 day produced … These models can help decision-…

… other deep neural network models trained … shale gas wells across 17 counties from Texas
Barnett and Pennsylvania Marcellus shale formations to test the capabilities of transfer learning…

… to forecast shale gas production based on deep learning. Meng … model potentially satisfies
the needs of shale gas production … methods, such as Arps, SEPD, and the Duong model. …

… production and operations has been accumulated, which can be analyzed with machine
learning (ML) techniques for production … proposed for production forecast in shale gas reservoirs…

… , a comprehensive machine-learning approach is developed to forecast the shale gas production
via … in this work to build up the final prediction model of 12-month shale gas production. …

… S1 volumes prediction with a deep learning (DL) model have … development of shale oil and
gas resources. S1 volumes of … shales have lower reservoir quality and lower oil production …