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pyResToolbox MCP Server

flow_fractions_from_lorenz

Generate idealized flow distributions from Lorenz coefficients to model reservoir heterogeneity for simulation, waterflood prediction, and sweep efficiency analysis.

Instructions

Generate flow fractions from Lorenz coefficient.

SYNTHETIC FLOW PROFILE - Creates idealized flow distribution matching a specified Lorenz coefficient. Generates a Lorenz curve (cumulative flow vs cumulative capacity) that honors the target heterogeneity level.

Parameters:

  • value (float, required): Target Lorenz coefficient (0-1). Must be 0 ≤ L ≤ 1. Typical: 0.2-0.7. Example: 0.5 for moderate heterogeneity.

Lorenz Curve Generation: Creates a curve showing:

  • X-axis: Cumulative storage capacity (kh fraction)

  • Y-axis: Cumulative flow capacity (flow fraction)

  • Curve shape: Determined by Lorenz coefficient

  • Points: 20 points along the curve for visualization

Curve Behavior:

  • L = 0: Straight diagonal line (perfect conformance)

  • L > 0: Curved line below diagonal (flow imbalance)

  • Higher L: More curvature, greater flow imbalance

Applications:

  • Reservoir Simulation: Generate layer properties for simulation models

  • Waterflood Prediction: Predict sweep efficiency from heterogeneity

  • Sweep Efficiency Estimation: Estimate vertical sweep from Lorenz

  • Sensitivity Analysis: Test impact of heterogeneity on performance

  • Conceptual Models: Create idealized reservoir models for studies

  • Visualization: Plot Lorenz curve to visualize heterogeneity

Returns: Dictionary with:

  • cumulative_flow_capacity (list): Y-axis values (cumulative flow fractions)

  • cumulative_storage_capacity (list): X-axis values (cumulative kh fractions)

  • lorenz_coefficient (float): Target Lorenz coefficient

  • method (str): "Generated Lorenz curve"

  • note (str): Visualization guidance

  • inputs (dict): Echo of input parameters

Common Mistakes:

  • Lorenz coefficient outside valid range (must be 0-1)

  • Confusing cumulative fractions with incremental fractions

  • Not understanding that curve represents idealized distribution

  • Using curve for non-log-normal distributions (may be inaccurate)

Example Usage:

{ "value": 0.5 }

Result: Lorenz curve with 20 points showing cumulative flow vs cumulative capacity. Curve is below diagonal, indicating flow imbalance (high-k layers produce more than their capacity fraction).

Note: This generates an idealized Lorenz curve. For actual reservoirs, use lorenz_from_flow_fractions with measured production data. The curve assumes log-normal permeability distribution. Plot cumulative flow vs cumulative storage to visualize heterogeneity.

Input Schema

NameRequiredDescriptionDefault
requestYes

Input Schema (JSON Schema)

{ "properties": { "request": { "$ref": "#/$defs/LorenzRequest" } }, "required": [ "request" ], "type": "object" }

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