UTS Company · Bengaluru, India

Modules / 08

Oil & gas upstream

OilSim

“What is the probability that enough of the right crude reaches the refinery’s crude distillation unit on the day it is needed?”

Available module

What it does

A Monte Carlo engine spanning roughly 20 parameters across crude sourcing, maritime logistics, port and terminal operations and refinery configuration, run across 2,000 stochastic trials — the same discipline every manufacturer with a long, uncertain inbound chain needs, at its most demanding.

Capabilities

Inside OilSim

Monte Carlo engine

~20 parameters, 2,000 stochastic trials.

P10 / P50 / P90 availability

Probability, not a single average.

Margin and stock-out risk

Expected GRM impact in $/bbl and tank-farm risk score.

Try OilSim on your own data

Nominate the decision that hurts most and we will run this module against a representative case from your operation.