Decline Curve Analysis

Decline Curve Analysis MCP Connector for Claude

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Forecast oil and gas production using Arps decline equations.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides specialized tools for petroleum engineers to perform Decline Curve Analysis (DCA). By applying Arps equations, users can determine the best-fit decline parameters from historical data using fit_decline_curve. The server allows for predicting future production rates with forecast_production, calculating total recoverable volumes via calculate_reserves, and verifying if a well has reached the necessary Boundary-Dominated Flow regime using validate_flow_regime.

oil-and-gaspetroleumforecastingarp-equationsproduction

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

validate_flow_regime

Analyzes historical data to determine if the well has transitioned to boundary-dominated flow

calculate_reserves

Calculates the total recoverable volume and the remaining volume available

fit_decline_curve

Determines the best-fit decline parameters from historical production data

forecast_production

Predicts future production rates for a specific future time point

See how to talk to your AI agent using Decline Curve Analysis.

Can you find the best-fit decline parameters for this production data: [{"timestamp": 1672531200, "rate": 1000}, {"timestamp": 1675209600, "rate": 850}, {"timestamp": 1677628800, "rate": 720}] using a hyperbolic model?

The best-fit parameters for the hyperbolic model are a decline rate of 0.15 and a b-factor of 0.5, with a fit quality score of 0.98.

Based on a decline rate of 0.1 and a b-factor of 0.4, what will the production rate be at time 12 months?

The forecasted production rate at 12 months is 450 barrels per day.

What is the remaining reserve if the EUR is 1,000,000 and we have already produced 300,000?

The remaining reserves are 700,000 units.

The server supports exponential, hyperbolic, and harmonic decline models through the `fit_decline_curve` tool.

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