From Real-Time Data to Updated Models: Challenge of Intelligent Fields Applied to Gas Storage

摘要

Underground gas storage (UGS) is a complex activity, which faces the challenge of combining variability of daily commercial-client requests with the reservoirs' capability to deliver. Stogit has implemented an integrated system that dynamically links databases, visualization tools, and reservoir/well simulators to assist the management process. The challenge has been to extract the maximum information from the available database and to computerize the process of updating well/ reservoir performance.