An Introduction to Monte Carlo Simulation


The Andorville™ Monte Carlo application is used to design, run and analyse Monte Carlo simulations.
Monte Carlo simulations are used to perform probabilistic calculations, which are used to calculate values from uncertain input values.
The uncertainty in the calculated values can be quantified and used to optimize decisions based on these uncertain values.

The Andorville™ Monte Carlo application source code and installation software can be downloaded from the following GitHub web site: RobAndorville GitHub Repositories.
This software is free to use and released under the Open Source Apache License, Version 2.0.

The following pages provide an introduction to Monte Carlo simulation:

Deterministic vs Probabilistic Calculations - A comparison of deterministic and probabilistic calculations.

Overview - An overview of the Monte Carlo simulation process.

Example 1 - Calculating the area of a rectangle with large measurement errors.

Example 2 - Calculating the area of a rectangle with small measurement errors.

Example 3 - Oil and gas industry example: Estimating hydrocarbon reserves.


Introduction   Deterministic Vs Probabilistic   Overview   Example 1   Example 2   Example 3