... Abstract Many operators have struggled to determine an optimum draw down strategy during the initial production period (flowback). Most that we have encountered rely on an analysis of the data after the initial production period when it's too late to mitigate any loses in well performance...

... of well performance; and (3) rigorously correcting the production and well completion data to assure a quality dataset. To illustrate Simplified Data Analytics, the paper uses a dataset of 18 horizontal Mowry Shale wells drilled in a geologically distinct portion of the Powder River Basin. Results...

.... This indicated the superiority of combining the unsupervised-learning and deep-learning methods. More importantly, this proposed machine learning method provides an intelligent decision strategy for oil companies as well as researchers as a reference to solve similar problems in petroleum engineering. well...

... strategies. machine learning unconventional resource economics reservoir storage energy economics upstream oil & gas overlain complex reservoir cutoff artificial intelligence geologic production driver information wellbore deliverability thermal maturity well performance geologic...

...URTEC-198245-MS Determination the Inflow Performance Relationship for Class II Methane Hydrate Deposits: A Quick Approach to Predict and Optimize Well Performance Nu Lu, Jian Hou, Yongge Liu, Kang Zhou, Yajie Bai, Yunkai Ji, and Ermeng Zhao, China University of Petroleum, East China; Qianru Wang...