Energy Science & Engineering Dissertation Defense

Ph.D. Candidate
Lívia Fulchignoni

Date & TIme
Friday, May 5th, 11:30 am PST

Dissertation Title
Predictive uncertainty of fluid models

Abstract
Fluid models are pivotal in various applications, such as CO2 enhanced oil recovery projects, chemical process design and optimization , and oil and gas exploration and production. Accurate predictions of phase behavior and thermophysical properties are critical to ensuring the safety, performance, and profitability of these operations.

However, predictions derived from fluid models are inherently uncertain due to model and parametric uncertainties. These uncertainties are especially significant for hydrocarbon reservoir fluids, which exhibit complex behavior.

This dissertation discusses the sources of uncertainty in reservoir fluid modeling, encompassing both empirical and compositional approaches, and provides a deeper understanding of their impact on fluid and flow model predictions.