MCP For Claude Marketplace
Production Logging Interpretation

Production Logging Interpretation MCP Connector for Claude

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Analyze PLT data to identify fluid entry points and production profiles.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

This MCP server provides specialized tools for interpreting Production Logging Tool (PLT) data. It allows AI agents to analyze spinner, temperature, pressure, and holdup measurements to determine zonal contributions, locate fluid entry points, and characterize flow regimes. By accounting for multiphase flow and wellbore deviation, it provides a precise view of wellbore production behavior.

pltwellboreproduction-loggingmultiphase-flowreservoir-engineering

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

analyze_flow_regime

Determines the physical flow pattern (e.g., mist, slug, bubble) at specific depths

calculate_zonal_contributions

Determines how much each individual formation zone is contributing to the total fluid production

get_production_profile

Provides a complete summary of the production behavior across the entire wellbore depth

identify_entry_points

Locates specific depths where fluids are entering the wellbore from the formation

See how to talk to your AI agent using Production Logging Interpretation.

What is the production profile for a wellbore with a depth of 5000m and an inclination of 30 degrees?

The production profile shows a total flow rate of 1250 bbl/d with a slug flow regime at 2500m and an annular regime at 4500m.

Identify the entry points using this temperature data: [{'depth': 1000, 'temp': 80}, {'depth': 1001, 'temp': 75}] and pressure data: [{'depth': 1000, 'pressure': 2000}, {'depth': 1001, 'pressure': 1950}].

A fluid entry point was detected at 1001m with a high entry intensity, likely indicating gas influx.

Calculate the zonal contributions for these zones: [{'topDepth': 1000, 'bottomDepth': 2000, 'zoneName': 'Zone A'}, {'topDepth': 2000, 'bottomDepth': 3000, 'zoneName': 'Zone B'}].

Zone A contributes 65% of the total flow, while Zone B contributes 35%.

You can use the `identify_entry_points` tool by providing temperature and pressure data arrays.

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