Fast and accurate prediction of well performance continues to play an increasingly important
role in development adjustment and optimization. It is now possible to predict performance …

There have been many advancements and developments in hazard and risk analysis
techniques over the past several decades. Since then, many researchers integrated various …

The main objective of this paper is to develop accurate novel frameworks for the estimation
of the maximum pitting corrosion depth in oil and gas pipelines based on data-driven …

This review paper examines the impact of technological innovations in reservoir surveillance
on business profitability within the oil and gas industry. It provides an overview of the …

This study presents a dynamic risk modeling strategy for a hydrocarbon sub-surface
production system under a gas lift mechanism. A data-driven probabilistic methodology is …

This research paper presents a dynamic methodology that integrates the dynamic Bayesian
network (DBN) with a loss aggregation technique for microbial corrosion risk prediction. The …

The hybrid optimization method of using evolutionary neural network (EvoNN) and NSGA-II
algorithms is applied in two case studies. The first optimization study is applied in a …

An effective enhanced oil recovery (EOR) method requires an evidence-based, data-driven
assessment of the impacts of the governing parameters on the rate of oil production. In this …

In-situ combustion for offshore heavy oil involves significant risk factors related to ignition,
gas injection, and corrosion prevention, especially under challenging operating conditions. If …

The ultra-low permeability oil reservoir in the HQ oilfield within the Ordos Basin exemplifies
a classic “three-low” oil reservoir characterized by low pressure, low permeability, and low …