Proxy Modeling
The Challenge
Operators are under pressure to make faster, more confident development decisions across dynamic field conditions. However, traditional reservoir simulation workflows are too time-consuming and computationally expensive to support rapid scenario testing or early field planning. A more scalable, efficient approach is needed to evaluate multiple strategies without sacrificing accuracy.
The Problem
Most proxy modeling tools require hundreds or thousands of simulation runs to train, making them impractical for real-time forecasting or optimization. These tools also tend to oversimplify reservoir behavior, limiting their ability to generalize outside the training scenario. As a result, teams either delay modeling or rely on coarse assumptions that increase risk.
The Solution
Proxy modeling with Aqueon uses a single full simulation and physics-based learning to create fast, accurate predictive models. These proxies maintain physical realism while enabling engineers to test hundreds of development strategies in minutes. Whether optimizing completion design, well spacing, injection patterns, or greenfield development plans, proxy modeling provides scalable, high-fidelity forecasts that support better decisions across both conventional and unconventional reservoirs.
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