# Surfactant Flood Designer AI Agent Connect

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

## Overview
- **Category:** energy
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_7ppE2lavGIjT5GtSGen11uiNnzqwEUE7QoGtL3aG/ai-agent-connect
- **Tags:** eor, surfactant, oil-recovery, reservoir-engineering, ift-reduction

## Description

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.

## Tools

### 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

## Prompt Examples

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

**Response:** 
```
The recommended surfactant category for high asphaltene oil at these conditions is Anionic.
```

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

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

**Prompt:** 
```
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.
```

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

## Frequently Asked Questions

**How does this tool help with EOR design?**
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.

**Can I predict oil recovery percentages?**
Yes, the `estimate_oil_recovery` tool predicts incremental oil recovery based on the capillary number and the designed slug size.

**Does it account for surfactant loss?**
Yes, the `design_injection_slug` tool specifically incorporates the adsorption rate to calculate the effective concentration remaining in the reservoir.