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Issue:2026 - Vol. 2 - Iss.1
Published:-
Articles:7 articles
Advanced Energy Systems and Intelligent Geoscience
AESIG
An international academic journal dedicated to the intersection of energy engineering, fundamental physics, and advanced computational science, dedicated to providing a high-quality academic exchange platform for researchers, scholars, and industry experts. The journal covers a wide range of research results, technological advancements, theoretical discussions, and practical applications in energy physics experimentation and computational technologies, with a particular focus on the cutting-edge dynamics and develo… More
2026 Vol.2 Iss.1 (6 articles)
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Review
A Review of Numerical Simulation and Connectivity Analysis in Complex Media Reservoirs
Abstract: This paper reviews the key technologies and challenges in numerical reservoir simulation and inter-well connectivity analysis for complex media. Addressing the issues of complex fluid flow patterns and strong heterogeneity in deep-layer, deep-water, and unconventional reservoirs, this study systematically summarizes the advantages and disadvantages of three mainstream
Keywords: Complex media reservoirs; Computational domain discretization; Numerical simulation; Inter-well connectivity
AESIG 2026, 2(1), 4-31;
https://doi.org/10.58244/aesig.253469
Review
Research Progress on CPU/GPU Heterogeneous Parallelism and Efficient Solvers in Large-Scale Complex Reservoir Simulation
Abstract: This paper aims to systematically review the latest evolutionary routes of High-Performance Computing (HPC) in the field of reservoir numerical simulation. First, starting from the underlying hardware architecture, the article details the fundamental differences in data transmission mechanisms, programming complexity, and acceleration performance between the CPU/GPU
Keywords: Large-scale reservoir simulation; GPU acceleration; Heterogeneous parallelism; Linear solvers; Embedded Discrete Fracture Model (EDFM); Non-Neighbor Connections (NNC)
AESIG 2026, 2(1), 32-42;
https://doi.org/10.58244/aesig.263495
Article
A Numerical Study of Hydraulic Fracture Growth Under One Cyclic Injection
Abstract: In this paper, a more potential cyclic fracturing scheme, which alternates injection and flowback in each injection cycle, is proposed to promote the stimulation efficiency. Collection and Re-injection of all the flowback fluid into formation to create fractures in the following cycles achieves environmental sustainability. With 2D displacement discontinue method, we model
Keywords: Cyclic injection; Flowback; Behavior of fracture; pressure amplitude; Fracture re-opening; Injection schedule
AESIG 2026, 2(1), 43-66;
https://doi.org/10.58244/aesig.263587
Article
Numerical Simulation and Sensitivity Analysis of Key Parameters for Modified Silicon-Based Nanoparticle Enhanced Oil Recovery in Low-Permeability Reservoirs
Abstract: To solve the low recovery rate of low-permeability heterogeneous reservoirs in mid-late oilfield development, this study focuses on modified silicon-based nanoparticle EOR technology (strong migration, good environmental compatibility). A 3D two-phase two-component model was built via CMG-STARS (single-well homogeneous & single-injection four-production
Keywords: Nanoparticle-enhanced oil recovery; Numerical simulation; CMG-STARS; Parameter sensitivity analysis; Heterogeneous reservoir; Reservoir simulation
AESIG 2026, 2(1), 67-82;
https://doi.org/10.58244/aesig.263533
Article
Study of Methane Hydrate Phase Transition and Multiphase Flow Characteristics: Effect of Pressure and Initial Hydrate Saturation
Abstract: Hydrate reservoirs often experience phase transitions such as decomposition and reformation during production process, which can significant fluid flow and reduce gas recovery efficiency. To reveal the mechanism between hydrate phase transition and gas–water two-phase flow behaviors, a visualized experimental setup was developed to monitor hydrate phase
Keywords: Methane hydrate resources; Phase transition characteristic; Multiphase flow; Hydrate saturation; Production pressure
AESIG 2026, 2(1), 83-90;
https://doi.org/10.58244/aesig.263579
Article
Study on High-Performance Prediction of Wellbore Multiphase Flow Pressure Drop Distribution Based on Artificial Neural Networks
Abstract: This paper constructs a proxy model to predict the pressure drop distribution in wellbore multiphase flow based on artificial neural networks (ANNs). 10,000 sets of high-quality samples involving 15 parameters involving wellbore multiphase flow and covering diverse working conditions were generated based on the Beggs-Brill algorithm, which ensures the physical
Keywords: Wellbore multiphase flow; Pressure drop prediction; Neural network; Beggs-Brill algorithm; Coupled simulation; Machine learning
AESIG 2026, 2(1), 91-104;
https://doi.org/10.58244/aesig.263567
