MCP For Claude Marketplace
Surfactant Flood Designer

Surfactant Flood Designer MCP Connector for Claude

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Designs surfactant floods for Enhanced Oil Recovery (EOR) by modeling phase behavior and IFT reduction.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
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This MCP server provides specialized tools for designing surfactant flooding operations in Enhanced Oil Recovery (EOR). It enables AI agents to calculate optimal surfactant types, determine required salinity and co-solvent concentrations for ultra-low IFT, design injection slugs accounting for adsorption, and predict incremental oil recovery. By using get_optimal_surfactant_type, calculate_phase_parameters, design_injection_slug, and estimate_oil_recovery, users can model complex reservoir interactions and chemical front behaviors.

eorsurfactantoil-recoveryreservoir-engineeringift-reduction

4 tools expose this connector's capabilities to your AI agent.

calculate_phase_parameters

Determines the required salinity and co-solvent amount to achieve ultra-low IFT

design_injection_slug

Calculates the technical specifications for the surfactant injection volume and concentration

estimate_oil_recovery

Predicts the incremental oil recovery percentage resulting from the surfactant flood

get_optimal_surfactant_type

Recommends the most effective surfactant class based on oil properties and reservoir conditions

See how to talk to your AI agent using Surfactant Flood Designer.

What is the best surfactant for a high asphaltene oil at 80 degrees Celsius and 3000 psi?

The recommended surfactant category for high asphaltene oil at these conditions is Anionic.

Calculate the required salinity and co-solvent for an anionic surfactant in paraffinic oil to reach a target IFT of 0.001.

The optimal salinity is 15000 ppm and the required co-solvent concentration is 5% of the total volume.

Estimate the oil recovery for an initial saturation of 0.7, a capillary number of 1e-3, and a slug size of 0.5 pore volumes.

The predicted incremental oil recovery is 12.5% with an expected residual oil saturation of 0.575.

It automates the calculation of critical parameters like optimal salinity and slug size using `calculate_phase_parameters` and `design_injection_slug` to ensure effective oil mobilization.

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