Hybrid machine learning algorithms to predict condensate viscosity in the near wellbore regions of gas condensate reservoirs

ARB Abad, S Mousavi, N Mohamadian… - Journal of Natural Gas …, 2021 - Elsevier
Gas condensate reservoirs display unique phase behavior and are highly sensitive to
reservoir pressure changes. This makes it difficult to determine their PVT characteristics …

Evolving support vector regression using Grey Wolf optimization; forecasting the geomechanical properties of rock

C Xu, M Nait Amar, MA Ghriga, H Ouaer… - Engineering with …, 2022 - Springer
The geomechanical properties of rock, including shear strength (SS) and uniaxial
compressive strength (UCS), are very important parameters in designing rock structures. To …

Determination of bubble point pressure & oil formation volume factor of crude oils applying multiple hidden layers extreme learning machine algorithms

S Rashidi, M Mehrad, H Ghorbani, DA Wood… - Journal of Petroleum …, 2021 - Elsevier
An important requirement of reservoir management is to understand the properties of
reservoir fluids and dependent phase behaviors. This makes it possible to determine the …

Toward a predictive model for estimating viscosity of ternary mixtures containing ionic liquids

M Hosseinzadeh, A Hemmati-Sarapardeh - Journal of Molecular Liquids, 2014 - Elsevier
Ionic liquids (ILs) are widely under research and being more and more used in many
industrial fields due to their unique properties. The knowledge of physicochemical properties …

Induction time of hydrate formation in water-in-oil emulsions

H Zheng, Q Huang, W Wang, Z Long… - Industrial & …, 2017 - ACS Publications
Blockage of pipelines due to hydrate formation is a major problem for subsea flow
assurance. Induction time for hydrate formation from the multiphase system within a pipeline …

Rapid method to estimate the minimum miscibility pressure (MMP) in live reservoir oil systems during CO2 flooding

A Kamari, M Arabloo, A Shokrollahi, F Gharagheizi… - Fuel, 2015 - Elsevier
Flooding fuel-generated CO 2 into oil reservoirs will lead to two advantages in both
enhanced oil recovery (EOR) and reduction in atmospheric emission of carbon dioxide. The …

Effect of wax on hydrate formation in water-in-oil emulsions

W Wang, Q Huang, H Zheng, Q Wang… - Journal of Dispersion …, 2020 - Taylor & Francis
Gas hydrates are non-stoichiometric crystalline compounds that can block pipelines,
representing a significant threat to subsea flow assurance. In addition, wax precipitation is …

Modeling temperature-based oil-water relative permeability by integrating advanced intelligent models with grey wolf optimization: Application to thermal enhanced oil …

NA Menad, Z Noureddine, A Hemmati-Sarapardeh… - Fuel, 2019 - Elsevier
Relative permeability is an indispensable parameter that is involved in many sensitive tasks
related to reservoir studies. Due to this fact, there is increasing interest about methods that …

Accurate determination of the CO2‐crude oil minimum miscibility pressure of pure and impure CO2 streams: A robust modelling approach

A Hemmati‐Sarapardeh, MH Ghazanfari… - … Canadian Journal of …, 2016 - Wiley Online Library
Gas flooding processes have emerged as attractive enhanced oil recovery (EOR) methods
over the last few decades. Among different gas flooding processes, CO2 flooding is …

Experimental measurement and compositional modeling of crude oil viscosity at reservoir conditions

M Talebkeikhah, MN Amar, A Naseri, M Humand… - Journal of the Taiwan …, 2020 - Elsevier
In the present study, experimental and modeling investigations were performed and
combined to implement trustworthy paradigms to predict the viscosity value under different …