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Iodine production from subsurface brine reservoirs is governed by a complex interplay of fluid flow, gas solubility, and geochemical reactions.
Using CMG’s GEM simulator, a fully integrated workflow was developed to:
Result: A predictive framework that enables operators to optimize iodine recovery, reduce uncertainty, and better manage reinjection strategies.
Why Iodine Modeling Matters
Iodine is a strategic resource used in:
Unlike hydrocarbons, iodine is:
This makes iodine production highly sensitive to:
Operational Context
In typical iodine-producing reservoirs:
Key implication: The reservoir behaves as a circulating reactive system, not a depletion-driven system.
The Challenge
Conventional simulation approaches:
As a result, they cannot:
Solution: CMG GEM Coupled Workflow
CMG GEM enables a fully integrated modeling approach, combining:
1. Fluid Flow
2. Gas Solubility
3. Geochemistry
4. Geomechanics (Optional but Enabled)
Model Overview
| Reservoir Description | Fluid & Chemistry | Operational Strategy Modeled |
| 2D cross-sectional model | Water-saturated system (~100%) | Water Injection: 100 m³/day |
| Depth: ~1000 m | Methane-dominated gas phase | Water Production: 100 m³/day |
| Thickness: ~160 m | Iodine present as iodide (I⁻) in brine | Voidage Replacement Ratio = 1 |
| Layered system (Kv/Kh = 0.1) | 100% water recycling |
This creates a dynamic circulation system, where injected water continuously alters reservoir chemistry.

Key Results
1. Iodine Mobilization Driven by Reactive Transport
As shown in Figure 1, NaI dissolution is concentrated along injector–producer flow paths, indicating that iodine release is directly controlled by sweep efficiency and flow connectivity.

Insight: Iodine production depends on
2. Injection Alters Reservoir Chemistry
Injected water:
Insight: Recycling creates both production support and dilution effects
3. Pressure & Mechanical Effects
As shown in Figure 2, strong pressure gradients develop between the injector and the producer, driving flow and inducing measurable vertical displacement. It highlights the coupled impact of injection on both fluid movement and reservoir deformation.
Insight: Long-term operations can impact

4. Long-Term Production Behavior
Insight: Figure 3 shows a non-linear iodine production profile, where early-time stability is followed by dilution-driven decline and late-time redistribution effects, demonstrating the impact of continuous water recycling on iodine concentration.

Key Takeaways
Best Practices
Conclusion
This study demonstrates that:
SPE Paper#: NA
Year: 2026
Software: GEM