![]() Reservoir pattern surveillance is the grouping of wells into injector or producer centered patterns and then quantifying each pattern's performance based on such metrics as current injection efficiency and overall recovery factor, with the goal to identify efficient vs inefficient patterns. Rather than assigning fixed patterns by hand and geometric allocation factors, use studioSL to integrate well locations, injection/production history, and geology, into a simplified flow model that accounts for dynamic well-pairs and patterns. studioSL is the only industry software to offer a complete and robust solution for reservoir pattern surveillance. Import historical data, build or import 3D grids, and then extract reservoir pattern metrics such as well-pairs, patterns, allocation factors - all driven by the changing injection/production history. Also included is our dynamic pattern material balance approach PatMB (US patent pending) for accurate ROIP distributions from OOIP distributions. |
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As surveillance does not involved the transport of fluids along the streamlines, calculations are fast and require only basic PVT input. |
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Shown on the left is a comparions between the OOIP for a field and the ROIP after integrating all the historical production into per-pattern material balance calculations. |
For a short white paper on field results with our technology, please see here. See our knowledge base item for more information on a Flow-Based Surveillance model vs a Flow Simulation model here.
See our April 2008 SPEREE paper or our JPT Jan 2010 Distinguished Author article for additional technical details.
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