# Cyclic Steam Stimulation (CSS) Designer AI Agent Connect

> Cyclic Steam Stimulation (CSS) Designer MCP gives reservoir engineers the computational tools needed to manage thermal EOR operations. Use it to calculate injection volumes, determine soak times, and predict oil recovery across multiple cycles. It turns your AI client into a specialized thermal engineering assistant that handles the heavy math for reservoir optimization.

## Overview
- **Category:** engineering
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_ToluW9okYKBwIKTJvSeyAHMDbGrwR8ePb8tbuYBw/ai-agent-connect
- **Tags:** thermal-eor, steam-injection, reservoir-engineering, heavy-oil, optimization

## Description

You can now run complex thermal EOR calculations directly within your AI client. This MCP provides the specific mathematical frameworks required to manage Cyclic Steam Stimulation (CSS) workflows. Instead of manually calculating heat transfer or injection requirements, you provide your reservoir parameters and let your agent handle the heavy lifting. 

You can use it to determine exactly how much steam you need to hit thermal targets in a specific reservoir or find the sweet spot for soak periods to maximize heat transfer. It also helps you look ahead by predicting how much oil you'll actually pull from the well during a cycle. For long-term management, you can track how well your well is performing against theoretical maximums to see if your heat utilization is dropping over time. It's built to turn raw reservoir data into actionable injection and soak schedules.

## Tools

### calculate_soak_duration
This tool finds the ideal amount of time to let a well sit idle to ensure maximum heat transfer to the reservoir.

### estimate_recovery_cycle
Use this to predict the total volume of oil produced and the overall length of a specific production cycle.

### evaluate_cycle_efficiency
This tool assesses well health by comparing current performance metrics against theoretical maximums.

### plan_steam_injection
This tool calculates the specific steam volume required to reach your thermal targets in a given reservoir.

## Prompt Examples

**Prompt:** 
```
Calculate the steam injection volume needed for a reservoir with 25% porosity, 150 mD permeability, an initial viscosity of 5000 cP, and a target viscosity of 50 cP.
```

**Response:** 
```
The required steam injection volume is 4500 m3 with an estimated heat loss of 120 m3.
```

**Prompt:** 
```
What is the optimal soak time for an injection volume of 3000 m3 in a reservoir with 100 mD permeability and a thermal diffusivity of 0.05?
```

**Response:** 
```
The optimal soak time is 12 days.
```

**Prompt:** 
```
Estimate the recovery for the 2nd cycle where 4000 m3 of steam was injected, the soak time was 10 days, and porosity is 20%.
```

**Response:** 
```
The expected oil recovery is 850 m3 and the total cycle duration is 25 days.
```

## Capabilities

### Steam Volume Planning
Your agent calculates the exact steam needed to hit specific thermal targets.

### Soak Time Optimization
The AI determines the best idle period to maximize heat transfer into the heavy oil.

### Production Prediction
Your client estimates oil recovery volumes and cycle durations based on reservoir data.

### Efficiency Monitoring
The MCP compares real-world performance against theoretical maximums to track well health.

## Use Cases

### Initial Cycle Planning
Calculate the first steam injection volume and soak time needed for a new heavy oil well.

### Multi-Cycle Optimization
Track how heat utilization changes over several cycles to adjust future injection volumes.

### Recovery Forecasting
Predict the oil yield for upcoming cycles based on current reservoir conditions.

### Well Health Audits
Compare current cycle performance against theoretical limits to decide when to move to a different EOR method.

## Benefits

- Reduces manual calculation errors in steam volume and soak time planning.
- Provides rapid estimates for oil recovery across multiple CSS cycles.
- Identifies declining well performance by comparing actual results to theoretical maximums.
- Speeds up the transition from reservoir data to actionable injection plans.

## How It Works

Get your thermal engineering tools running in your AI client in minutes.

1. Connect your AI client to the Vinkius hosted MCP.
2. Provide reservoir data like porosity, permeability, and viscosity to your agent.
3. Ask your agent to run specific calculations like steam volume or soak duration.
4. Receive precise engineering outputs directly in your chat interface.

## Frequently Asked Questions

**What kind of reservoirs is this MCP for?**
This MCP is specifically designed for heavy oil reservoirs requiring thermal EOR via Cyclic Steam Stimulation (CSS).

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

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

**Can I use this to track performance over time?**
Yes, you can use the evaluate_cycle_efficiency tool to compare current performance against theoretical maximums to monitor well health.

**What data do I need to provide for steam injection planning?**
You typically need to provide reservoir parameters such as porosity, permeability, and viscosity levels to get accurate steam volume calculations.