MOSP - Macao Scientific Publishers

文章

A Numerical Study of Hydraulic Fracture Growth Under One Cyclic Injection

Authors: Seqiang Zhuo, Zaile Zhou*, Yinglun Qin, Yuzhu Kang, Hui Zhao, Lie Kong, Zhihong Kang

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 [...] Read More.

Keywords: Cyclic injection; Flowback; Behavior of fracture; pressure amplitude; Fracture re-opening; Injection schedule

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Study of Methane Hydrate Phase Transition and Multiphase Flow Characteristics: Effect of Pressure and Initial Hydrate Saturation

Authors: Huiru Sun*

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 [...] Read More.

Keywords: Methane hydrate resources; Phase transition characteristic; Multiphase flow; Hydrate saturation; Production pressure

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Study on High-Performance Prediction of Wellbore Multiphase Flow Pressure Drop Distribution Based on Artificial Neural Networks

Authors: Xi Ouyang, Xiang Rao*

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 [...] Read More.

Keywords: Wellbore multiphase flow; Pressure drop prediction; Neural network; Beggs-Brill algorithm; Coupled simulation; Machine learning

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Numerical Simulation and Sensitivity Analysis of Key Parameters for Modified Silicon-Based Nanoparticle Enhanced Oil Recovery in Low-Permeability Reservoirs

Authors: Chen Zhang, Xiang Rao*

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 [...] Read More.

Keywords: Nanoparticle-enhanced oil recovery; Numerical simulation; CMG-STARS; Parameter sensitivity analysis; Heterogeneous reservoir; Reservoir simulation

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Research Progress on CPU/GPU Heterogeneous Parallelism and Efficient Solvers in Large-Scale Complex Reservoir Simulation

Authors: Kang Wang, Xiang Rao*

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 [...] Read More.

Keywords: Large-scale reservoir simulation; GPU acceleration; Heterogeneous parallelism; Linear solvers; Embedded Discrete Fracture Model (EDFM); Non-Neighbor Connections (NNC)

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A Review of Numerical Simulation and Connectivity Analysis in Complex Media Reservoirs

Authors: Wentao Zhan*, Yixin Zhang, Liang Pu, Zhaolin Pu

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 [...] Read More.

Keywords: Complex media reservoirs; Computational domain discretization; Numerical simulation; Inter-well connectivity

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Information & Contents - 2025.1(1)

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A Review of Gas Injection and Energy Supplement for Shale Condensate Gas Reservoirs

Authors: Chenjie Luo*

Abstract: Natural gas has become a core component of the global clean energy transition, and shale condensate gas reservoirs represent a high-value unconventional resource critical to improving national energy security, especially for countries with a coal-dominated energy mix like China. This paper reviews the current status of gas injection and energy supplement technologies [...] Read More.

Keywords: Shale condensate gas reservoir; Component gradient; Nano-confinement effect; Projection-based embedded discrete fracture model (pEDFM); Gas injection and energy supplement

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Review of Reservoir Closed-Loop Optimization Control Methods

Authors: Deng Liu*

Abstract: This paper presents a review of reservoir closed-loop optimization management technology, with a particular focus on its core software component—reservoir closed-loop optimization control technology. This technology constitutes a closed-loop process encompassing two fundamental steps: automatic history matching and production optimization. History matching [...] Read More.

Keywords: Meshless method; Reservoir numerical simulation; Generalized finite difference method; Fluid-solid coupling; Numerical algorithm

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A Review of Integrated CCUS-EOR and Storage Prediction and Optimization: From Accelerated Compositional Simulation to Data–Physics Coupled Intelligent Models

Authors: Yunfeng Xu*, Zhuyi Zhu

Abstract: Carbon dioxide enhanced oil recovery with geological storage has attracted increasing attention because it can simultaneously improve hydrocarbon recovery and reduce emissions. Accurate and efficient prediction of development performance, together with reliable support for injection–production design and optimization, has therefore become a central scientific and engineering [...] Read More.

Keywords: CCUS-EOR; Numerical simulation; Reduced-order models; Deep learning; Data–physics coupling; Physics-informed neural networks

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