MCP For Claude Marketplace
Well Stimulation Evaluation

Well Stimulation Evaluation MCP Connector for Claude

A+

Assess the effectiveness of well stimulation treatments using skin factor and productivity metrics.

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

This MCP server provides analytical tools to evaluate the performance impact of well stimulation treatments. By comparing pre- and post-treatment reservoir metrics, users can determine the success of operations like acidizing or hydraulic fracturing. Key capabilities include using analyze_skin_impact to measure damage removal, calculate_productivity_gain to determine fluid production increases, and evaluate_treatment_efficiency to assess technical effectiveness based on cost and damage type. The summarize_well_performance tool provides a final performance status snapshot.

stimulationwellboreproductivityskin-factorreservoir

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

calculate_productivity_gain

Determines the relative increase in the well's ability to produce fluids

evaluate_treatment_efficiency

Assesses the technical effectiveness of the specific treatment method used

summarize_well_performance

Provides a comprehensive snapshot of the well's state change

analyze_skin_impact

Calculates how effectively the treatment removed near-wellbore damage

See how to talk to your AI agent using Well Stimulation Evaluation.

Calculate the skin reduction if the pre-treatment skin factor was 5.0 and the post-treatment was 1.0.

The skin reduction is 4.0.

What is the productivity improvement ratio if the pre-treatment PI was 1.5 and the post-treatment PI is 3.0?

The productivity improvement ratio is 2.0, representing a 100% increase.

Summarize the performance for a well where pre-treatment data is {'pi': 1.0, 'skin': 4.0} and post-treatment data is {'pi': 2.5, 'skin': 0.5}.

The performance status is Highly Successful.

You can use `summarize_well_performance` to get a status rating, or `calculate_productivity_gain` to see the specific increase in the productivity index.

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