/IPyR

Calculation of Inflow Performance Relationship (IPR) using Python

Primary LanguagePython

IPyR

Overview

This project descibes how to obtain max flow rate (defined as q_max: NUMERIC (float | int)) using several equations.

Language Features

Since this repository was created, Python 3.8.10 is used in this project.

Program Features

  • Calculate the q_max based on relations of variables
    • Reservoir pressure (p_res: NUMERIC (float | int))
    • Wellbore pressure (p: NUMERIC (float | int))[1]
    • Flow rate at current wellbore pressure (q: NUMERIC (float | int))[1]
  • Illustrate extensions of production data for graphic and charting purposes

[1] Notice that p and q are combined in single dictionary defined as Dict[NUMERIC (float | int), NUMERIC (float | int)]. For instance, for single data of q and p, it will be defined as data = { "p": NUMERIC, "q": NUMERIC }.

Testing Files

Two-phase production

Vogel

  • vogel.py: Testing for calculation of q_max in several wellbore pressures using Vogel Equation
  • graph-vogel-1.py: Demonstrating graph correlation of wellbore pressures between flow rates based on Vogel Equation
  • graph-vogel-2.py: Demonstrating graph of wellbore pressure (in this case, using p_wf = 1335 psia) comparing with real production data Vogel Equation

Fetkovich

  • fetkovitch.py: Testing for calculation of q_max in several wellbore pressures using Fetkocivh Equation
  • graph-fetkovich-1.py: Demonstrating graph correlation of wellbore pressures between flow rates based on Fetkovich Equation

Production graph comparison

  • graph-2-phase-comparison.py: Compare of production graph between Vogel and Fetkovich methods.

Three-phase production

Wiggin

  • wiggin.py: Demonstrating graph correlation of wellbore pressures between flow rates based on Wiggin Equation
  • graph-wiggin-1.py: Testing for calculation of q_max of oil and water (in this case, using p_wf = 1335 psia) using Wiggin Equation