Waterflood Pattern Optimizer

Waterflood Pattern Optimizer MCP Connector for Claude

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Optimize waterflood pattern design and predict oil recovery.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP connects AI agents to advanced reservoir engineering calculations. It allows for the evaluation of waterflood patterns by calculating total sweep efficiency using get_pattern_efficiency, determining optimal injection rates with calculate_optimal_injection_rate, and estimating oil recovery via predict_recovery_volume. Users can also use optimize_pattern_design to compare different geometric arrangements like 5-spot or 9-spot patterns to maximize recovery based on reservoir characteristics.

reservoirwaterfloodoil-recoveryengineeringoptimization

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

calculate_optimal_injection_rate

Determines the recommended water injection rate to maintain pressure

get_pattern_efficiency

Calculates the total sweep efficiency for a specific pattern configuration

optimize_pattern_design

Compares multiple pattern types to find the one that maximizes recovery

predict_recovery_volume

Estimates the total volume of oil that can be recovered

See how to talk to your AI agent using Waterflood Pattern Optimizer.

What is the total sweep efficiency for a 5-spot pattern with 0.7 areal sweep and 0.6 vertical sweep?

The total sweep efficiency for the 5-spot pattern is 0.42.

Estimate the oil recovery for 1,000,000 barrels of initial oil with a 0.5 total sweep and 0.8 displacement efficiency.

The expected recovery is 400,000 barrels, resulting in a recovery factor of 0.4.

Calculate the optimal injection rate for a reservoir with 500,000 volume, 150 permeability, 2000 current pressure, and 2500 target pressure.

The optimal injection rate is 125.5 units, with a pressure delta of 500.

You can use the `optimize_pattern_design` tool to compare multiple pattern types against your specific reservoir characteristics and well spacing.

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