Reservoir Pattern Surveillance

Use studioSL's surveillance technology to make no-cost or low-cost operational decisions on your mature flood. Our surveillance models provide ROIP distributions, new well-rate targets based on dynamic well-pair interactions, ML-driven forecasts of rate targets, well shut-ins, reactivations, and/or producer-injector conversions. There is no tedious history matching step, meaning that you can quickly go from model inputs to model results. This is possible because we use streamlines to quantify well-pairs and then the well-pair information is used in all subsequent calculations.

For a field in California our floodOPT workflow reduce oil decline from 20% to 2% over one year, while in Argentina the oil decline for a water flood was reduced from 16% to 0% for the following 3 months.

More Info: BrochurePricingSPE-Webinar, Surveillance Book, YouTube Videos

Support: Knowledge BaseTutorialsTraining


The Reservoir Surveillance Workflow

 

Well locations, production history, and geology.  Import historical production, well locations, and perforation data from OFM, Petrel, geoSCOUT, or AccuMap. Import 2D Zmaps from Petrel or Petra to build a 2D or 3D grid, or directly import a 3D geomodel from Petrel, Skua-Gocad, or other geomodeling software using Eclipse-like grid formats.

 

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

Surveillance does not involved the transport of fluids along the streamlines so calculations are fast and efficient.

 

Flux Pattern Map. Collapse the streamline bundles between each well-pair and represent this as a graph. 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.

ROIP Distribution.  Given an Original Oil in Place (OOIP) distribution, apply Streamsim's unique streamline region based material balance (SLR-MB*) simulator on each dyamic well-pair to generate a Remaining Oil in Place (ROIP) distribution .  This will highlight areas of low vs high ROIP as driven by the injection/production history.  

Shown on the right is a comparions between the OOIP and the ROIP after integrating all the historical production into per-pattern material balance calculations.  Red areas are high values, blue areas are low values, and purple areas are zero values where gas cap or water zones are located.

* SLR-MB is protected by US patent No. 10,726,173 B2

 

OOIPROIP

Well forecast Rapid Forecasting.  Using machine learning methods, historical well rates are correlated to local grid properties that change with time to compute individual well-level forecast of oil, water, and gas rates.  This is usefull for rapid forecasting of existing well base declines, shut-ins, reactivations, or producer-to-injector conversions.  Forecasting of a surveillance model can also be combined with Streamsim's floodOPT workflow to forecast the impact of new well rate targets that promote sweep and demote fluid cycling.

 

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
U.S.A.

Tel: (415) 386-0165

Contact in Canada

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

Tel: (403) 270-3945

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