Vastly simplifying ensemble workflows
Ensemble-based modeling is employed by many oil and gas producers to improve predictive accuracy. But historically, their approach has been a hybrid of old, single model workflows that have delivered poor results and unrealistic workloads. Resoptima takes a completely new approach to ensemble modeling that combines automation and science-based statistical methods to deliver better results in a fraction of the time.
Firmly embracing uncertainty
ResX is unique in assimilating and propagating all of the uncertainties related to the subsurface and the production history across the entire workflow. This results in a uniquely honest and informative description of the real issues that will affect the reservoir’s performance. By anticipating what can seem at times irrelevant or improbable events, operators can better plan their activity ahead of time. Plus, they can make decisions based on statistical probabilities, with less influence associated with the specific biases of the teams building the models. And because all the data uncertainties are accounted for, the models deliver a better understanding of the risk and opportunities associated with the prospect.