Subsidence Prediction Model

Subsidence Prediction Model MCP Connector for Claude

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Predict surface subsidence and geological risks from reservoir compaction.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides specialized tools for geological engineering to model surface movement caused by subsurface reservoir compaction. Use calculate_subsidence_profile to determine the spatial distribution of vertical displacement, and estimate_affected_area to define the geographic footprint of the subsidence event. The model also includes evaluate_fault_risk to assess the likelihood of geological instability and get_reservoir_summary for high-level compaction analysis.

subsidencegeologyreservoircompactionrisk-assessment

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

calculate_subsidence_profile

Determine the spatial distribution and peak magnitude of surface movement

estimate_affected_area

Define the geographic footprint of the subsidence event

evaluate_fault_risk

Assess the likelihood of geological instability caused by predicted subsidence

get_reservoir_summary

Provide a high-level overview of reservoir characteristics and impact

See how to talk to your AI agent using Subsidence Prediction Model.

Calculate the subsidence profile for a reservoir at 1500m depth, 50m thick, with 5m compaction and 200MPa overburden stiffness using the geertsma model.

The peak vertical displacement is 12.4 meters, with the subsidence profile tapering off as distance from the center increases.

What is the risk to a fault located 200m from a subsidence center with a max subsidence of 15m and a fault orientation of 45 degrees?

The risk level is classified as high due to the proximity of the fault to the peak displacement.

Provide a summary for a reservoir at 2000m depth, 80m thick, with 10m compaction.

The compaction ratio is 0.125 and the pressure impact factor is 0.85.

You can use the `estimate_affected_area` tool by providing the subsidence profile data and a displacement threshold value.

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