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

This research presents a hybrid model to predict oil production and to provide a dynamic risk
profile of the production system. The introduced predictive approach combines a multilayer …

This paper presents an operational risk model for a pressure-augmented downhole
petroleum production system. The model is built by integrating multilayer perceptron (MLP) …

Realistic reservoir models are essential for efficient field management and accurate
forecasting of hydrocarbon production. Such models, based on the physical description of …

Low salinity relative permeability curves are required to estimate the benefit of low salinity
waterflooding at the field-level. Low salinity benefit is measured from corefloods (ie, at the …

Naturally or hydraulically fractured reservoirs usually contain fractures at various scales.
Among these fractures, large-scale fractures might strongly affect fluid flow, making them …

The distribution of low-salinity benefit for an ensemble of models is required to evaluate low-
salinity enhanced oil recovery (OREC) projects. To enable this, low-salinity pseudorelative …

Application of dendrimers and dendritic polymers in oil and gas field fluid formulation can
revolutionise the fluid properties due to the unique physical, chemical and biological …

This study presents a connectionist model for dynamic economic risk evaluation of reservoir
production systems. The proposed dynamic economic risk modeling strategy combines …

The data assimilation process of adjusting variables in a reservoir simulation model to honor
observations of field data is known as history matching and has been extensively studied for …