MOSP - Macao Scientific Publishers

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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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Boundary-integral Type Neural Network (BINN) for Flow Problems in Reservoirs

Authors: Yina Liu , Xiang Rao*, Xupeng He, Qirun Fu, Hussein Hoteit

Abstract: This study pioneers the application of Boundary-Integral Neural Networks (BINNs) to subsurface flow simulation, addressing steady-state single-phase flow governed by Laplace-type equations in hydrocarbon reservoirs. BINNs synergistically integrate boundary integral equations (BIEs) with deep learning to overcome limitations of traditional mesh-based methods [...] Read More.

Keywords: Deep Learning; Boundary integral equations (BIEs); Physics-informed neural networks (PINNs); Boundary-Integral Neural Networks(BINNs); Meshless Reservoir Simulation; Dimensionality Reduction

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Review of the Application of Upwind Generalized Finite Difference Method in Two-Phase Fluid-Solid Coupling of Porous Media

Authors: Yina Liu*

Abstract: Porous media oil-water two-phase fluid-solid coupling is critical for oil-gas exploitation efficiency and environmental protection, but traditional mesh-based methods (FDM, FEM, FVM) suffer from mesh generation difficulties, poor dynamic adaptability, and numerical dissipation. The Generalized Finite Difference Method (GFDM), a promising meshless approach [...] Read More.

Keywords: Closed-loop optimization; History matching; Production optimization; Optimization algorithm

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Targeting FAD2 Gene with RNAi for Enhanced Oleic Acid Composition in Transgenic Brassica napus

Tian Baoming, Sun Dandan, Lian Yuli, Shu Haiyan, Ling Hua, Zang Xin, Wang Bonan and Pei Zhenqiang

Advanced Journal of Microbiology Research ISSN 2736-1756 Vol. 19 (6), pp. 001-006, June, 2025. www.internationalscholarsjournals.org/ © International Scholars Journals

Full Length Research Paper

Targeting FAD2 Gene with RNAi for Enhanced Oleic Acid Composition in Transgenic Brassica napus

Tian Baoming1, Sun Dandan1, Lian Yuli2, Shu Haiyan1, Ling Hua1, Zang Xin1, Wang Bonan1 and Pei Zhenqiang1

1Bioengineering Department, Zhengzhou University, Zhengzhou, 450001, China.
2Chaoyang Teachers College, Chaoyang, 122500, China.

Accepted 1 April, 2025

Oleate- 12 desaturase (FAD2) is a key enzyme involved in the conversion of oleic acid (C18:1) into linoleic acid (C18:2). Brassica napus FAD2 gene was targeted for silencing by its RNAi gene under the control of a seed-specific napin promoter. This study aims to identify the transgenic plants, and analyze the level of BnFAD2 transcripts in addition to fatty acid profile in T3 seeds. As indicated by PCR and southern blotting analysis, a total of six transgenic plants were developed. Analysis performed by RT-PCR revealed the significant down-regulation of BnFAD2 transcripts in developing T3 seeds, which resulted in 13.90 to 32.20% increase of oleic acid composition in mature T 3 seeds. The data demonstrated that BnFAD2 gene was efficiently down-regulated and mediated by its RNAi gene, and oleic acid composition in transgenic rapeseeds was significantly enhanced.

Key words: RNAi, oleate- 12 desaturase (FAD2) gene, oleic acid, Brassica napus.

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