Reservoir Material Balance Engine

Reservoir Material Balance Engine MCP Connector for Claude

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Quantify hydrocarbon volumes and identify reservoir drive mechanisms.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides specialized analytical tools for reservoir engineering. It allows AI agents to perform material balance analysis to determine Original Oil in Place (OOIP) or Original Gas in Place (OGIP). Using calculate_initial_volumes, agents can reconcile production history with pressure depletion. The analyze_drive_mechanisms tool decomposes energy sources into solution gas, gas cap, and water drive contributions. For future planning, predict_reservoir_performance forecasts pressure and production trends, while validate_pvt_consistency ensures fluid properties remain physically consistent with reservoir conditions.

reservoir-engineeringmaterial-balancepetroleumhydrocarbonsgeoscience

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

validate_pvt_consistency

Ensure fluid properties are physically consistent with reservoir conditions

analyze_drive_mechanisms

Identify and quantify the relative contribution of different energy sources

calculate_initial_volumes

Determine the initial amount of oil or gas present in the reservoir

predict_reservoir_performance

Forecast future reservoir pressure and cumulative production

See how to talk to your AI agent using Reservoir Material Balance Engine.

Calculate the initial oil in place for an oil reservoir with the following data.

The calculated Original Oil in Place (OOIP) is 45.2 million STB with an uncertainty factor of 0.05.

What are the drive mechanism contributions for this reservoir?

The reservoir energy is driven by 60% water drive, 30% solution gas drive, and 10% gas cap expansion.

Predict the reservoir pressure for the next 12 months.

The predicted reservoir pressure after 12 months is 2,850 psi, with an estimated remaining reserve of 12.4 MMSTB.

You can use the `calculate_initial_volumes` tool by providing the reservoir type, production data, pressure data, PVT properties, and reservoir statistics.

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