SAGD Process Design

SAGD Process Design MCP Connector for Claude

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Model Steam Assisted Gravity Drainage processes using Butler's analytical models.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides specialized engineering tools for modeling Steam Assisted Gravity Drainage (SAGD) processes. It uses Butler's analytical framework to calculate critical recovery metrics. Use get_production_forecast to predict oil recovery rates and steam-oil ratios. Use optimize_well_geometry to determine the ideal vertical spacing between injector and producer wells. The server also includes analyze_heterogeneity_impact to assess how reservoir variations affect steam chamber growth and calculate_steam_requirements to estimate daily steam demand and energy needs.

sagdbitumenreservoir-modelingthermal-recoveryheavy-oil

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

analyze_heterogeneity_impact

Evaluates how variations in rock properties will affect the steam chamber

calculate_steam_requirements

Determines the amount of steam needed to sustain the process for a specific period

get_production_forecast

Predicts the expected oil recovery rate based on current reservoir and well parameters

optimize_well_geometry

Recommends the ideal vertical distance between wells to maximize efficiency

See how to talk to your AI agent using SAGD Process Design.

What is the expected oil production rate for a reservoir with 2.0 Darcy permeability, 500 cP viscosity, 30m thickness, and 5m well spacing?

The predicted production rate is 450 barrels per day with an estimated SOR of 2.8 and a chamber rise rate of 0.15 m/day.

Recommend the best vertical spacing for a reservoir with 1.5 Darcy permeability, 800 cP viscosity, and a target SOR of 3.0.

The optimal vertical spacing is 6.5 meters, providing an expected efficiency rating of 0.85.

How much steam will I need daily for a 40m thick reservoir with 2.5 Darcy permeability to produce 500 barrels of oil per day at 400 cP viscosity?

The daily steam demand is 1,400 barrels per day, with a total energy requirement of 12.5 million BTU and an estimated process duration of 1,200 days.

The server utilizes Butler's analytical models to predict oil production rates and steam-oil ratios.

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