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GEM
Full Case Study

Modelling Iodine Production Using Coupled Geochemistry in CMG GEM

GEM

Iodine production from subsurface brine reservoirs is governed by a complex interplay of fluid flow, gas solubility, and geochemical reactions.ย 

Using CMGโ€™s GEM simulator, a fully integrated workflow was developed to:

  • Model iodine production from brine systemsย 
  • Capture gas dissolution effects (CHโ‚„, COโ‚‚)ย 
  • Simulate mineral reactions controlling iodine releaseย 
  • Evaluate water injection and recycling strategiesย 

Outcome: 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:

  • Pharmaceuticals and medical imagingย 
  • Electronics and advanced materials such as Perovskite solar cells
  • Energy storage technologiesย 

Unlike hydrocarbons, iodine is:

  • Dissolved in formation water (brine)ย 
  • Produced indirectly through fluid movement and chemical reactionsย 

This makes iodine production highly sensitive to:

  • Reservoir flow patternsย 
  • Water recycling strategiesย 
  • Subsurface geochemistryย 

Operational Context

In typical iodine-producing reservoirs:

  • Natural gas and iodine are co-produced with waterย 
  • Gas is separated at surfaceย 
  • Produced water is fully reinjectedย 

Key Implication: The reservoir behaves as a circulating reactive system, not a depletion-driven system.

The Challenge

Conventional simulation approaches:

  • Track pressure and flowย 
  • Ignore chemical reactions and aqueous processesย 

As a result, they cannot:

  • Predict iodine concentration changesย 
  • Capture mineral-driven iodine releaseย 
  • Evaluate long-term recycling effectsย 

Solution: CMG GEM Coupled Workflow

CMG GEM enables a fully integrated modeling approach, combining:

1. Fluid Flow

  • Multiphase flow in porous mediaย 
  • Injector-producer interactionย 

2. Gas Solubility

  • Methane and COโ‚‚ dissolution into brineย 
  • Modeled using Henryโ€™s Law, accounting for:ย 
    • Pressureย 
    • Temperatureย 
    • Salinityย 

3. Geochemistry

  • Aqueous reactions (e.g., iodide transport)ย 
  • Mineral reactions:ย 
    • NaI dissolution โ†’ iodine releaseย 
    • Precipitation under changing conditionsย 

4. Geomechanics (Optional but Enabled)

  • Pressure-induced deformationย 
  • Subsidence and stress effectsย 

Model Overview

Reservoir Description Fluid & Chemistry Operational Strategy Modeled
2D cross-sectional modelย  Water-saturated system (~100%)ย  Water Injection: 100 mยณ/dayย 
Depth: ~1000 m Methane-dominated gas phase Water Production: 100 mยณ/dayย 
Thickness: ~160 mย  Iodine present as iodide (Iโป) in brineย  Voidage Replacement Ratio = 1ย 
Layered system (Kv/Kh = 0.1)ย  100% water recyclingย 

 

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 injectorโ€“producer flow paths, indicating that iodine release is directly controlled by sweep efficiency and flow connectivity.

Figure 1: 5-Year Production Simulation Results Showing NaI Dissolution

Insight: Iodine production depends on

  • Flow pathwaysย 
  • Mineral dissolution dynamicsย 

2. Injection Alters Reservoir Chemistry

Injected water:ย 

  • Dilutes iodine concentrationย 
  • Triggers additional mineral reactionsย 

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

  • Reservoir structureย 
  • Flow pathwaysย 

Figure 2: 5-Year Production Simulation Results Showing Pressure Gradients

4. Long-Term Production Behavior

  • Short-term: Stable iodine productionย 
  • Mid-term: Decline due to dilutionย 
  • Long-term: Complex behavior from recycling and redistributionย 

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.

Figure 3: Illustrates Long-term Production Behavior

Key Takeawaysย 

  • Iodine production is geochemistry-driven, not purely flow-drivenย 
  • Mineral buffering (NaI) plays a critical role in sustaining productionย 
  • Water recycling introduces both benefits and risks:ย 
    • Sustains reservoir pressureย 
    • Alters chemistry and concentrationย 
  • Gas solubility influences aqueous chemistry, impacting iodine availabilityย 

Best Practices

  • Incorporate geochemistry when modeling dissolved resourcesย 
  • Use Henryโ€™s Law-based solubility models for gasโ€“water systemsย 
  • Explicitly model:ย 
    • Mineral phasesย 
    • Aqueous reactionsย 
  • Treat water injection systems as closed-loop reactive systemsย 

Conclusion

This study demonstrates that:

  • Accurate iodine production forecasting requires coupling flow, geochemistry, and operational strategy.
  • CMG GEM provides a unified platform to model this complexity, enabling operators to design injection strategies that directly control iodine recovery rather than reacting to uncertain production behavior.
About This Resource

SPE Paper#: NA

Year: 2026

Software: GEM