Holistic machine learning approach recognizes problem stages

The full paper explores a holistic approach to characterizing problem stages by applying automatic recognition of pressure surge events and associating those events with operational and training causes. This analysis of pressure surges provides information on potential causes of operating difficulties, and related diagnostics can suggest improvements for future pumping programs. Improving the way stages are pumped pays off in both the short and long term. Quantifying how design decisions ultimately affect operations can help decrease the frequency of operational issues and help realize these gains.

Introduction

The Cretaceous Eagle Ford Shale is the source rock for the Woodbine, Buda, and Austin Chalk.

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