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 inefficent 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 dyamic well-pairs and patterns.  

studioSL is the only industry software to offer a complete and robut 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, and material balance calculations - all driven by the changing injection/production history.


More Info: BrochurePricingSPE-Webinar

Support: Knowledge BaseTutorialsTraining

The Reservoir Pattern Surveillance Workflow

Well location and production history.  Import historical production, well locations (red & blue dots in image to the right), and perforation data from OFM, Petrel, geoSCOUT, AccuMap, Schedule Eclipse,POWERS, or CMG. Build a 2D pancake grid, or import Petra maps to build a 3D grid, or import a 3D geomodel from Petrel/Gocad.

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.

Injection Efficiency.  Once well-pairs are identified and the well-rate allocation factors are calculated, studioSL can summarize the performance of the injectors via an injector efficiency plot. Each point on the plot represents an injector and is associated with an offset oil rate produced on the y-axis. The IE-plot is powerful diagnostic of the efficiency of each injector in a field.

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.

ROIP Map.  Provided with an OOIP map, studioSL's surveillance workflow will perfom material balance on each dyamic pattern to generate an ROIP map to the end point of the production history.  This will highlight areas of low vs high ROIP.  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.

Contact in USA

Corporate Headquarters 
StreamSim Technologies, Inc.
865 25th Avenue
San Francisco, CA 94121

Tel: (415) 386-0165

Contact in Canada

Canada Office 
StreamSim Technologies, Inc.
Suite 102A - 625 14th Street N.W.
Calgary, Alberta T2N 2A1

Tel: (403) 270-3945

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