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ECLIPSE FrontSim



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FrontSim allows you to visualize the movement of fluids within reservoir.


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Run multiple upscaling schemes in FrontSim--fine scale geological model on the left and the simulation model on the right.


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FrontSim is used as a quick history match tool. Here you see the movement of fluid between injector-producer pairs.

Streamline simulator complements your ECLIPSE workflow

FrontSim is a three-phase, 3D simulator that models multiphase fluid flow along streamlines. FrontSim allows you to visualize fluid flow in the reservoir. This offers more information than finite difference simulators on key reservoir problems like model ranking and upscaling, water flood management and history matching.

Improve your reservoir knowledge
With FrontSim you can resolve the dominant flow paths within complex geology and visually depict the fluid flow behavior to better understand your reservoir. You can then transfer this knowledge into ECLIPSE for more reliable models and better predictive power.

Build better quality models
FrontSim uses a screening and ranking tool to help take the guesswork out of model building. The tool reduces multiple realizations to a few selected scenarios that adequately define the range of geological uncertainty.

You can use ECLIPSE Office and other pre and post processing tools to build models for use with FrontSim. Also, FrontSim is integrated with Petrel workflow tools, allowing you to seamlessly run FrontSim on your Petrel models.

Waterflood management and optimization benefits
  • Track the oil-water front movement along the streamlines to more accurately predict water breakthrough
  • Accurately estimate injector to producer relationships on a well-by-well basis
  • Identify injectors not contributing to production or producers that are cycling injected water
Assisted history match
FrontSim allows you to visualize fluid flow paths in the reservoir, identifying regions and parameters in the reservoir that need to be history matched. Streamlines are used to trace and modify cells with the maximum effect on flow behavior. Such insight reduces trial and error, and achieves history match with fewer iterations.


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