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Streamline Based Reservoir Surveillance for Mature Flood Optimization
January 24 @ 11:45 AM - 1:00 PM
In today’s economic environment, operators must work to extend the lives of mature fields using low-cost measures. However, identifying reservoir opportunities and forecasting scenarios prior to implementation typically relies on reservoir flow simulation, yet most operators do not have time to build or calibrate such models. Instead, streamline-based surveillance modelling – which has matured greatly over the past few years – offers a practical solution. Streamline surveillance models are easier to build than simulation models as they are driven directly by the history, include geology, and they then provide unique well-pair metrics for low-cost improvements. For example, while it is easy to identify high water cut/water rate producers, it is often difficult to identify which offset injectors are responsible for fluid cycling. Since streamlines naturally define well-pairs, engineers can identify the correct offset injectors and then promote sweep vs. fluid cycling by adjusting rates at the correct wells. With more recent technology enhancements, streamline-based surveillance models are used to determine remaining oil in place distributions by applying material balance to dynamic well-pairs. Finally, coupled with machine learning techniques, streamline-based surveillance models are used for rapid forecasting of low-cost management scenarios such as new rate targets, well shut-ins, well reactivations, and/or producer-injector conversions, prior to implementation.
In-person registration closes on January 23, 2023, at 3 PM MST.
- January 24
11:45 AM - 1:00 PM
- Event Categories:
- Information Session, Luncheon, Social
- SPE – Calgary Section
- View Organizer Website