Leveraging machine learning in porous media
The emergence of artificial intelligence (AI) and, more particularly, machine learning (ML),
has had a significant impact on engineering and the fundamental sciences, resulting in …
has had a significant impact on engineering and the fundamental sciences, resulting in …
[HTML][HTML] A technical review of CO2 flooding sweep-characteristics research advance and sweep-extend technology
The utilization and storage of CO 2 emissions from oil production and consumption in the
upstream oil industry will contribute to sustainable development. CO 2 flooding is the key …
upstream oil industry will contribute to sustainable development. CO 2 flooding is the key …
Evaluation of urban transportation carbon footprint− Artificial intelligence based solution
H Wang, X Wang, Y Yin, X Deng, M Umair - Transportation Research Part …, 2024 - Elsevier
This research uses three machine learning algorithms to predict transport-related CO₂
emissions, considering transport-related factors and socioeconomic aspects. We analyze …
emissions, considering transport-related factors and socioeconomic aspects. We analyze …
System and multi-physics coupling model of liquid-CO2 injection on CO2 storage with enhanced gas recovery (CSEGR) framework
Injecting CO 2 into gas reservoirs can achieve CO 2 Storage with enhanced gas recovery
(CSEGR). The development of liquid-CO 2 injection has the characteristics of high …
(CSEGR). The development of liquid-CO 2 injection has the characteristics of high …
Effects of CO2 variable thermophysical properties and phase behavior on CO2 geological storage: A numerical case study
CO 2 injection into the reservoir can effectively reduce greenhouse gas emissions. The
thermophysical parameters and phase behavior of CO 2 are highly sensitive to pressure and …
thermophysical parameters and phase behavior of CO 2 are highly sensitive to pressure and …
Utilizing Artificial Intelligence Techniques for Modeling Minimum Miscibility Pressure in Carbon Capture and Utilization Processes: A Comprehensive Review and …
MN Amar, H Djema, K Ourabah, FM Alqahtani… - Energy & …, 2024 - ACS Publications
The carbon dioxide (CO2) based enhanced oil recovery methods (EORs) are considered
among the promising techniques for increasing the recovery factor from mature oil reservoirs …
among the promising techniques for increasing the recovery factor from mature oil reservoirs …
Consensus-based dynamic optimization of the integrated energy-to-product networks through an ontologically-aware multi-agent system
ZK Ravandi, RB Boozarjomehry, F Babaei… - … Applications of Artificial …, 2024 - Elsevier
The industrial paradigm shift toward intelligent and sustainable management stimulates
policymakers to leverage artificial intelligence (AI) for decentralized planning of chemical …
policymakers to leverage artificial intelligence (AI) for decentralized planning of chemical …
Determination of Gas–Oil minimum miscibility pressure for impure CO2 through optimized machine learning models
Minimum miscibility pressure (MMP) is one of the most important parameters for designing
CO 2 enhanced oil recovery (EOR) and associated storage in depleted oil reservoirs. The …
CO 2 enhanced oil recovery (EOR) and associated storage in depleted oil reservoirs. The …
Application of Heterogeneous Ensemble Learning for CO2–Brine Interfacial Tension Prediction: Implications for CO2 Storage
Carbon capture, utilization, and storage (CCUS) is a green engineering technology to
reduce CO2 emissions and mitigate climate warming. It is crucial to accurately predict the …
reduce CO2 emissions and mitigate climate warming. It is crucial to accurately predict the …
Effects of Varying Oil/Water Saturations on Miscible and Immiscible CO2 Flooding in Heterogeneous Porous Media: A Lattice Boltzmann Method Simulation Study
Y Wang, J Fan, C Yang, K He, D Wang - Energy & Fuels, 2024 - ACS Publications
Oil/water saturations vary significantly among different oil reservoirs, which, in combination
with pore structure, determines the oil and water distribution in pores. As an initial condition …
with pore structure, determines the oil and water distribution in pores. As an initial condition …