flowregimemap 0.1

A Python package to predict flow regimes and plot flow regime maps

Flow Regime Map

FlowRegimeMap is a Python package to predict flow regimes and plot flow regime maps using the Taitel and Dukler method. It supports both metric and imperial unit inputs.

Features

• Predicts flow regimes such as Bubble Flow, Slug Flow, Annular Flow, and Dispersed Bubble Flow.
• Plots flow regime maps based on user-defined gas and liquid velocities.
• Supports both metric and imperial unit inputs.

Installation

You can install the package via pip (after publishing to PyPI):

pip install flowregimemap

Usage

Import the Package

First, you need to import the draw_flow_regime_map_with_imperial function from the package.

from flowregimemap import draw_flow_regime_map_with_imperial

Example Usage

Here’s how to use the function with the provided example parameters:

# Import the function
from flowregimemap import draw_flow_regime_map_with_imperial

# Example inputs in imperial units
rho_L_imperial = 62.4  # Liquid density in lb/ft³
rho_G_imperial = 0.0801  # Gas density in lb/ft³
mu_imperial = 0.89  # Liquid viscosity in cP
sigma_imperial = 70  # Surface tension in dyne/cm
D_imperial = 2  # Pipe diameter in inches

# Example inputs for operating point in imperial units
U_LS_imperial = 3  # Superficial liquid velocity in ft/s
U_GS_imperial = 3  # Superficial gas velocity in ft/s

# Call the function to generate the flow regime map
draw_flow_regime_map_with_imperial(rho_L_imperial, rho_G_imperial, sigma_imperial, mu_imperial, D_imperial, U_GS_imperial, U_LS_imperial)

This function will generate a plot of the flow regime map and indicate the operating point.

Parameters

• rho_L_imperial: Liquid density (lb/ft³)
• rho_G_imperial: Gas density (lb/ft³)
• mu_imperial: Viscosity (cP)
• sigma_imperial: Surface tension (dyne/cm)
• D_imperial: Pipe diameter (inches)
• U_LS_imperial: Superficial liquid velocity (ft/s)
• U_GS_imperial: Superficial gas velocity (ft/s)

Output

• A log-log plot showing various flow regimes and the operating point based on the given parameters.

Dependencies

• numpy
• matplotlib

Make sure to install the required dependencies by running:

pip install numpy matplotlib