The application of nitrogen foam for enhanced oil recovery (EOR) purposes has grabbed the
attention of many researchers. With this in view, the main objective of this paper is to design …

This study presents utilization of multiple data-driven models for predicting CO 2 minimum
miscibility pressure (MMP). The aim is to address the issue of existing models lacking …

Understanding specific air–water interfacial area (SAWIA) is essential for characterizing and
modeling various phenomena in vadose zone hydrology, such as virus and colloid transport …

Characterizing the permeability variation in fractured rocks is important in various
subsurface applications, but how the permeability evolves in the foundation rocks of high …

The reservoir's properties are required for proper reservoir simulation, which also involves
uncertainties. Experimental methods to estimate the relative permeability and capillary …

Artificial intelligence (AI) has proven to be the smartest predicting tool in the oil and gas
industry. In this paper, Artificial Neural Network (ANN) algorithm was applied to build two …

Relative permeability curves are one of the main factors that control the behavior of multi-
phase flow in underground energy resources. The incorrect selection of relative permeability …

Relative permeability of multiphase flow through porous media plays a vital role in the
petroleum industry, especially in enhanced oil recovery (EOR) processes. In this study …

The gas condensate reservoirs are significant resources of energy for various municipal and
industrial purposes. An unfavourable phenomenon attributed to this kind of reservoirs is …

Availability of large amounts of data helps in develo** data-driven models using state of
the art Artificial intelligence (AI) methodologies. Relative permeability is an important …