Wax Deposition Predictor MCP Connector for Claude
A+Predicts wax buildup in oil pipelines and wells to optimize maintenance.
This MCP server provides critical modeling tools for managing paraffin wax deposition in oil transport systems. It allows AI agents to calculate the Wax Appearance Temperature (WAT) using calculate_wat, estimate accumulation speeds with predict_deposition_rate, and determine maintenance schedules via estimate_pigging_interval. Additionally, it can evaluate fluid dynamics using analyze_shear_effects to understand how flow impacts wax layers. These tools help prevent flow restrictions and optimize pigging frequency in both subsea and onshore pipelines.
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