Field Development Optimization

Field Development Optimization MCP Connector for Claude

A+

Optimize reservoir development plans, drilling schedules, and facility sizing.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides advanced tools for optimizing field development plans. It allows AI agents to calculate the most profitable drilling schedules using get_optimal_drilling_plan, determine ideal infrastructure scale with optimize_facility_sizing, and find the ideal number of wells via evaluate_well_count. Additionally, users can assess plan robustness against reservoir variability using run_uncertainty_simulation.

reservoirdrillingeconomicssimulationoil-and-gas

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

evaluate_well_count

Suggests the optimal number of wells to balance reservoir drainage against capital expenditure

get_optimal_drilling_plan

Determines the most profitable sequence and timing for drilling wells

optimize_facility_sizing

Calculates the ideal size for surface infrastructure to support production

run_uncertainty_simulation

Assesses the robustness of a proposed development plan against reservoir variability

See how to talk to your AI agent using Field Development Optimization.

What is the best drilling schedule for a reservoir with high permeability and a well cost of 5 million dollars?

The optimal drilling schedule involves drilling 4 wells in Year 1 and 2 wells in Year 2 to maximize the total NPV of 150 million dollars.

How many wells should I drill for this reservoir profile?

Based on the reservoir characteristics and current economic parameters, the optimal well count is 8 wells.

What is the peak capacity needed for my facility?

To support the planned production, the facility requires a maximum capacity of 50,000 barrels per day.

You can use the `get_optimal_drilling_plan` tool, which analyzes reservoir data and economic parameters to find the most profitable sequence.

Related Connectors