The usual procedure in history matching is to adopt a Bayesian approach with an objective
function that is assumed to have a single simple minimum at the" correct" model. In this …

Quantifying uncertainty in hydrocarbon production forecasts is critical in the petroleum
industry because of the dominant role uncertainty quantification plays in reservoir …

This paper introduces a new stochastic approach for assisted history matching based on a
continuous ant colony optimization algorithm. Ant Colony Optimization (ACO) is a multi …

Production optimization technique, as a crucial step in the closed-loop reservoir
management (CLRM), aims to achieve optimal development efficiency by adjusting …

This study examines the application of pattern recognition technologies to improve the time
and effort required for completing successful history matching projects. The pattern …

Prudent decision making in subsurface assets requires reservoir uncertainty quantification.
In a typical uncertainty-quantification study, reservoir models must be updated using the …

Reservoir modeling aims at understanding static and dynamic components of the reservoir
in order to make decisions about future surface operations. The practice of reservoir …

This thesis focuses on development of holistic approaches/techniques for accurate reserves
estimation; and optimization of production performance considering a broader perspective …

Our purpose is to evaluate the benefit of using time-lapse seismic in addition to production
history for reservoir characterization. A new inversion methodology, based on the gradual …

To address the key problems in the application of intelligent technology in geothermal
development, smart application scenarios for geothermal development are constructed. The …