Reservoir Pattern Surveillance

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.

Compute streamlines.With well locations, the injection and production history, and a grid defined, calculate the streamlines at desired times throughout history. The image to the left shows streamlines, as colored by originating injector, for a single time interval.

As surveillance does not involved the transport of fluids along the streamlines, calculations are fast and require only basic PVT input.

Flux Pattern Map. Collapse the streamline bundles between each well-pair and represent this as a simple stick connection. This is Streamsim's patented (US Patent 6,519,531) Flux Pattern Map to quantify the strength and the allocation factors between wells. Since streamlines change with time, so too will the FPmap, giving a dynamic pattern picture of your flood.  These maps can be combined for a range of timesteps to then represent average patterns and average allocation factors over the time range.

Conformance Plot.Knowing the well allocation factors through time it possible to plot the cumulative offset oil production associated with the cumulative volume injected at each producer. This plot is the well-known conformance plot, except that it based on dynamically changing patterns and WAF's and is therefore a more accurate reflection of the field performance.