Hybridized machine-learning for prompt prediction of rheology and filtration properties of water-based drilling fluids
Careful design and preparation of drilling fluids with appropriate rheology and filtration
properties, combined with operational monitoring, is essential for successful drilling …
properties, combined with operational monitoring, is essential for successful drilling …
Short-term load forecasting of multi-energy in integrated energy system based on multivariate phase space reconstruction and support vector regression mode
H Liu, Y Tang, Y Pu, F Mei, D Sidorov - Electric Power Systems Research, 2022 - Elsevier
In order to alleviate the energy crisis and improve the energy utilization rate, the integrated
energy system (IES) has become an important way of energy utilization. IES integrates …
energy system (IES) has become an important way of energy utilization. IES integrates …
The underlying mechanisms that influence the flow of gas-condensates in porous medium: A review
DB Dorhjie, T Aminev, E Mukhina, A Gimazov… - Gas Science and …, 2024 - Elsevier
Gas-condensates are positioned to play a crucial role in the worldwide energy shift toward
low-carbon and zero-carbon sources. There are divergent perspectives on the exact …
low-carbon and zero-carbon sources. There are divergent perspectives on the exact …
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 …
reservoir pressure changes. This makes it difficult to determine their PVT characteristics …
Permeability prediction of heterogeneous carbonate gas condensate reservoirs applying group method of data handling
Carbonate petroleum reservoirs typically have lower permeabilities and recovery factors
than sandstone reservoirs, so the natural fractures they often incorporate have positive …
than sandstone reservoirs, so the natural fractures they often incorporate have positive …
Modeling the solubility of light hydrocarbon gases and their mixture in brine with machine learning and equations of state
Abstract Knowledge of the solubilities of hydrocarbon components of natural gas in pure
water and aqueous electrolyte solutions is important in terms of engineering designs and …
water and aqueous electrolyte solutions is important in terms of engineering designs and …
Relative permeability curve prediction from digital rocks with variable sizes using deep learning
Recent advancements in artificial intelligence (AI) technology have offered new ways to
obtain the relative permeability curve that is crucial for subsurface engineering problems …
obtain the relative permeability curve that is crucial for subsurface engineering problems …
Recent advances in the prediction of thermophysical properties of nanofluids using artificial intelligence
Recently, artificial intelligence (AI) methods have been widely welcomed due to the
weakness of traditional regression-based methods and their low accuracy in nonlinear …
weakness of traditional regression-based methods and their low accuracy in nonlinear …
Direct prediction of relative permeability curve from 3D digital rock images based on deep learning approaches
The relative permeability curve is one of the key features to evaluate the flow property of a
porous medium, which is important in petroleum and gas industry, yet it is not easy to obtain …
porous medium, which is important in petroleum and gas industry, yet it is not easy to obtain …
Modeling hydrogen solubility in water: Comparison of adaptive boosting support vector regression, gene expression programming, and cubic equations of state
Q Lv, T Zhou, H Zheng, B Amiri-Ramsheh… - International Journal of …, 2024 - Elsevier
Predicting the solubility of hydrogen (H 2) in aqueous solutions is crucial for studying
reactions of hydrogen in the formation, which also affects the security and optimal design of …
reactions of hydrogen in the formation, which also affects the security and optimal design of …