# Gas Recycling Optimizer AI Agent Connect

> Gas Recycling Optimizer provides your AI client with the specialized math needed to manage gas condensate reservoirs. It handles the heavy lifting for calculating optimal injection rates, predicting when dry gas will hit production wells, and estimating total liquid recovery based on your specific recycling strategies.

## Overview
- **Category:** engineering
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_KB9xMLvBvULB9e3jHtbPlmMOF9rcg9yD5UhTqvn1/ai-agent-connect
- **Tags:** reservoir, gas, condensate, recycling, petroleum

## Description

You can use this MCP to run complex reservoir simulations directly through your AI client. Instead of manually calculating pressure buffers or breakthrough windows, you tell your agent the reservoir conditions and it returns the specific rates and timelines you need. It focuses on the critical balance of maintaining pressure above the dew point while avoiding the premature arrival of dry gas at your production wells. You can test different injection volumes to see how they impact your total liquid yields before committing to a field strategy. It turns your AI into a specialized reservoir engineering partner that can validate injection designs and predict recovery efficiency in seconds.

## Tools

### calculate_condensate_recovery
This tool estimates the total volume of liquid condensate you can recover using a specific recycling strategy.

### evaluate_recycling_strategy
Use this to get a full assessment of a proposed recycling design by combining rate, breakthrough, and recovery metrics.

### get_optimal_recycling_rate
This tool determines the most efficient gas injection volume to maximize recovery without causing early breakthrough.

### predict_breakthrough_time
This tool estimates exactly when injected dry gas will reach your production wells.

## Prompt Examples

**Prompt:** 
```
What is the best injection rate for a reservoir at 4500 psi with a dew point of 4200 psi and a rich gas composition?
```

**Response:** 
```
The optimal injection rate is 12.5 MMSCF/D, providing a pressure buffer of 300 psi and an efficiency index of 0.85.
```

**Prompt:** 
```
Will a recycling rate of 15 MMSCF/D cause early breakthrough if the wells are 500 meters apart?
```

**Response:** 
```
The estimated time until breakthrough is 4.2 years, with a breakthrough risk factor of 0.15.
```

**Prompt:** 
```
Estimate the total condensate recovery for a rate of 10 MMSCF/D with a maintenance factor of 0.8.
```

**Response:** 
```
The total recovered volume is estimated at 1,250,000 barrels with a recovery efficiency of 78%.
```

## Capabilities

### Pressure Management
Your agent calculates injection rates to keep reservoir pressure above the dew point.

### Breakthrough Prediction
The AI estimates the timing of dry gas arrival at production wells.

### Yield Estimation
Your client calculates the total volume of liquid condensate expected from a strategy.

### Strategy Validation
The MCP evaluates proposed recycling designs against multiple performance metrics.

## Use Cases

### Injection Rate Optimization
Find the exact gas volume to inject to maximize recovery while preventing early breakthrough.

### Breakthrough Risk Assessment
Predict when injected gas will reach production wells based on well spacing and injection rates.

### Recovery Forecasting
Calculate expected liquid condensate volumes for different reservoir management scenarios.

### Design Validation
Run a full assessment of a recycling strategy using combined rate and recovery metrics.

## Benefits

- Maintains reservoir pressure above dew point through optimized injection rates.
- Reduces risk of premature dry gas arrival at production wells.
- Provides rapid validation of proposed recycling designs.
- Estimates liquid condensate yields based on specific injection volumes.

## How It Works

You connect your AI client to the hosted MCP and start running engineering queries immediately.

1. Connect your preferred client like Claude or Cursor to Vinkius.
2. Provide reservoir parameters like pressure, dew point, and gas composition to your agent.
3. The agent calls the specific tool needed for your calculation.
4. Receive precise engineering outputs like injection rates or breakthrough timelines.

## Frequently Asked Questions

**What can this MCP do for reservoir management?**
It calculates optimal gas recycling rates, predicts dry gas breakthrough times, and estimates total condensate recovery.

**Which AI clients can use this MCP?**
You can use this MCP with any compatible client, including Claude, Cursor, Windsurf, and VS Code.

**How does it help prevent early breakthrough?**
The tool calculates the optimal injection rate to maximize recovery while ensuring the dry gas does not reach production wells too early.

**Do I need to host the MCP myself?**
No, Vinkius hosts and manages the MCP for you. You just connect your client and start working.

**Can I validate a specific injection design?**
Yes, you can use the evaluate_recycling_strategy tool to check if a proposed rate and design are viable for your reservoir conditions.