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钠基蒙脱石狭缝中CH_(4)-CO_(2)竞争吸附与CO_(2)埋存

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吉林大学学报（地球科学版） 2024年第2期54卷 470-478页

作者：龚凤鸣侯大力强贤宇向雪妮黄思婧韩鑫余洋阳顾康福成都理工大学能源学院成都610059 油气藏地质及开发工程国家重点实验室(成都理工大学) 成都610059

页岩主要由有机质干酪根和无机质黏土矿物等组成,其中干酪根和黏土矿物对CH_(4)的吸附作用是页岩吸附气的主要来源。为了研究无机质黏土矿物中CH_(4)吸附行为、CH_(4)-CO_(2)竞争吸附行为和CO_(2)埋存规律,利用钠基蒙脱石来表征页岩中... 详细信息

页岩主要由有机质干酪根和无机质黏土矿物等组成,其中干酪根和黏土矿物对CH_(4)的吸附作用是页岩吸附气的主要来源。为了研究无机质黏土矿物中CH_(4)吸附行为、CH_(4)-CO_(2)竞争吸附行为和CO_(2)埋存规律,利用钠基蒙脱石来表征页岩中的黏土矿物,基于巨正则蒙特卡洛方法,利用Lammps软件开展不同压力、温度和孔径下的流体吸附模拟。结果表明:随着压力增大,各孔径下CH_(4)超额吸附量先增加后减少,并在11~12 MPa间达到峰值;随着温度升高,各孔径下CH_(4)超额吸附量逐渐减少;随着孔径的增大,CH_(4)超额吸附量逐渐减少。小孔径下,CH_(4)在钠基蒙脱石中主要以吸附态赋存,随着孔径的增大,CH_(4)在钠基蒙脱石中处于吸附态和游离态共存的状态,并且钠基蒙脱石对CH_(4)的作用类型为物理吸附。CO_(2)的驱替效率随CO_(2)初始压力的升高而增大,随孔径的增大而增大。CO_(2)埋存量随温度的升高而降低,随注入压力的升高而升高,随孔径的增大而降低。CO_(2)与CH_(4)竞争吸附比随压力的增大而降低,随孔径的增大而升高。

关键词：钠基蒙脱石狭缝巨正则蒙特卡洛法竞争吸附 CO_(2)埋存

Microstructure refinement and second phase particle regulation of Mo-Y_(2)O_(3) alloys by minor TiC additive

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International Journal of Minerals,Metallurgy and Materials 2022年第11期29卷 2012-2019页

作者： Weiqiang Hu fengming gong Shaocun Liu Jing Tan Songhua Chen Hui Wang Zongqing Ma Tianjin Key Laboratory of Composite and Functional Materials School of Materials Science and EngineeringTianjin UniversityTianjin 300072China CNPC Project Management Company Tianjin Design Institute Tianjin 300072China College of Chemistry and Material Science Longyan UniversityLongyan 364012China School of Mechanical Engineering Chengdu UniversityChengdu 610106China

The oxide dispersion strengthened Mo alloys(ODS-Mo)prepared by traditional ball milling and subsequent sintering technique generally possess comparatively coarse Mo grains and large oxide particles at Mo grain boundaries(GBs),which obviously suppress the corresponding strengthening effect of oxide *** this work,the Y_(2)O_(3) and TiC particles were simultaneously doped into Mo alloys using ball-milling and subsequent low temperature *** by TiC addition,the Mo-Y_(2)O_(3) grains are sharply refined from 3.12 to 1.36μ*** particular,Y_(2)O_(3) and TiC can form smaller Y-Ti-O-C quaternary phase particles(~230 nm)at Mo GBs compared to single Y_(2)O_(3) particles(~420 nm),so as to these new formed Y-Ti-O-C particles can more effectively pin and hinder GBs *** addition to Y-Ti-O-C particles at GBs,Y_(2)O_(3),TiOx,and TiCx nanoparticles(<100 nm)also exist within Mo grains,which is significantly different from traditional *** appearance of TiOx phase indicates that some active Ti within TiC can adsorb oxygen impurities of Mo matrix to form a new strengthening phase,thus strengthening and purifying Mo ***,the pure Mo,Mo-Y_(2)O_(3),and Mo-Y_(2)O_(3)-TiC alloys have similar relative densities(97.4%-98.0%).More importantly,the Mo-Y_(2)O_(3)-TiC alloys exhibit higher hardness(HV0.2(425±25))compared to Mo-Y_(2)O_(3) alloys(HV0.2(370±25)).This work could provide a relevant strategy for the preparation of ultrafine Mo alloys by facile ball-milling.

关键词： Mo-Y_(2)O_(3)-TiC alloys ball-milling low temperature sintering ultrafine grains high hardness

低渗透油藏注CO_(2)混相驱及CO_(2)埋存评价

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大庆石油地质与开发 2024年第1期43卷 59-67页

作者：侯大力龚凤鸣陈涛孙雷赵锐苏杰油气藏地质及开发工程全国重点实验室(成都理工大学) 四川成都610059 成都理工大学能源学院四川成都610059 四川越盛能源集团有限公司四川成都610066 中国石油西南油气田公司川东北作业分公司四川成都610021 中国石化胜利油田分公司海洋采油厂山东东营257237

注CO_(2)开发低渗透油藏不仅能增加原油采收率,还能将CO_(2)埋存在地下,实现双赢。为了明确X低渗透油藏注CO_(2)混相驱油机理、CO_(2)在地层中的运移规律以及埋存机理,利用实验和数值模拟相结合的方法,从注CO_(2)混相特征、注CO_(2)参... 详细信息

注CO_(2)开发低渗透油藏不仅能增加原油采收率,还能将CO_(2)埋存在地下,实现双赢。为了明确X低渗透油藏注CO_(2)混相驱油机理、CO_(2)在地层中的运移规律以及埋存机理,利用实验和数值模拟相结合的方法,从注CO_(2)混相特征、注CO_(2)参数优化和CO_(2)埋存评价3方面对X低渗透油藏进行研究。结果表明:地层原油注CO_(2)最小混相压力为26.03 MPa,CO_(2)有降低原油黏度和密度的作用;通过参数优化确定的推荐注采方案与衰竭开采相比,累计增油量为96.21×10^(4)t,主力开发层系X4⁃2、X4⁃3提高采收率分别为9.37百分点、6.02百分点;CO_(2)注入地层后,随着时间的推移,在平面上不断向四周扩散,在纵向上受重力分异的作用向上运移;评价区块注CO_(2)驱推荐方案预计CO_(2)埋存量为68.08×10^(4)t,其中构造埋存量、束缚埋存量、溶解埋存量和矿化埋存量分别为42.20×10^(4)、17.79×10^(4)、6.24×10^(4)和1.85×10^(4)t。研究成果为低渗透油藏注CO_(2)驱及CO_(2)埋存提供了实验和理论的借鉴意义。

关键词：低渗透油藏 CO_(2)驱油与埋存方案设计参数优化埋存评价

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Reconfigurable logic and in-sensor encryption operations in an asymmetrically tunable van der Waals heterostructure

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Nano Research 2024年第4期17卷 3113-3119页

作者： Fan gong Wenjie Deng Yi Wu fengming Liu Yihao Guo Zelin Che Jingjie Li Jingzhen Li Yang Chai Yongzhe Zhang Key Laboratory of Optoelectronics Technology of Education Ministry of China Faculty of Information TechnologyBeijing University of TechnologyBeijing 100124China Key Laboratory of Advanced Functional Materials Ministry of EducationFaculty of Materials and ManufacturingBeijing University of TechnologyBeijing 100124China Department of Applied Physics Hong Kong Polytechnic UniversityKowloonHong KongChina

Reconfigurable devices can be used to achieve multiple logic operation and intelligent optical sensing with low power consumption,which is promising candidates for new generation electronic and optoelectronic integrated ***,the versatility is still limited and need to be extended by the device architectures ***,we report an asymmetrically gate two-dimensional(2D)van der Waals heterostructure with hybrid dielectric layer SiO_(2)/hexagonal boron nitride(h-BN),which enable rich function including reconfigurable logic operation and in-sensor information encryption enabled by both volatile and non-volatile optoelectrical *** the partial gate is grounded,the non-volatile light assisted electrostatic doping endowed partially reconfigurable doping between n-type and p-type,which allow the switching of logic XOR and not implication(NIMP).When the global gate is grounded,additionally taking the optical signal as another input signal,logic AND and OR is realized by combined regulation of the light and localized gate *** on the high on/off current ratio approaching 105 and reliable&switchable logic gate,in-sensor information encryption and decryption is demonstrated by manipulating the logic ***,these results provide strong extension for current reconfigurable electronic and optoelectronic devices.

关键词： in-sensor encryption reconfigurable logic van der Waals heterostructure asymmetrical tunable architecture

Sparse Reconstructive Evidential Clustering for Multi-View Data

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IEEE/CAA Journal of Automatica Sinica 2024年第2期11卷 459-473页

作者： Chaoyu gong Yang You School of Computing National University of SingaporeSingapore

Although many multi-view clustering(MVC) algorithms with acceptable performances have been presented, to the best of our knowledge, nearly all of them need to be fed with the correct number of clusters. In addition, these existing algorithms create only the hard and fuzzy partitions for multi-view objects,which are often located in highly-overlapping areas of multi-view feature space. The adoption of hard and fuzzy partition ignores the ambiguity and uncertainty in the assignment of objects, likely leading to performance degradation. To address these issues, we propose a novel sparse reconstructive multi-view evidential clustering algorithm(SRMVEC). Based on a sparse reconstructive procedure, SRMVEC learns a shared affinity matrix across views, and maps multi-view objects to a 2-dimensional humanreadable chart by calculating 2 newly defined mathematical metrics for each object. From this chart, users can detect the number of clusters and select several objects existing in the dataset as cluster centers. Then, SRMVEC derives a credal partition under the framework of evidence theory, improving the fault tolerance of clustering. Ablation studies show the benefits of adopting the sparse reconstructive procedure and evidence theory. Besides,SRMVEC delivers effectiveness on benchmark datasets by outperforming some state-of-the-art methods.

关键词： Evidence theory multi-view clustering(MVC) optimization sparse reconstruction

Exploring a Promising Region and Enhancing Decision Space Diversity for Multimodal Multi-Objective Optimization

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Tsinghua Science and Technology 2024年第2期29卷 325-342页

作者： Fei Ming Wenyin gong School of Computer Science China University of GeosciencesWuhan 430074China

During the past decade,research efforts have been gradually directed to the widely existing yet less noticed multimodal multi-objective optimization problems(MMOPs)in the multi-objective optimization ***,researchers have begun to investigate enhancing the decision space diversity and preserving valuable dominated solutions to overcome the shortage caused by a preference for objective space ***,many existing methods still have limitations,such as giving unduly high priorities to convergence and insufficient ability to enhance decision space *** overcome these shortcomings,this article aims to explore a promising region(PR)and enhance the decision space diversity for handling *** traditional methods,we propose the use of non-dominated solutions to determine a limited region in the PR in the decision space,where the Pareto sets(PSs)are included,and explore this region to assist in solving ***,we develop a novel neighbor distance measure that is more suitable for the complex geometry of PSs in the decision space than the crowding *** on the above methods,we propose a novel dual-population-based coevolutionary *** studies on three benchmark test suites demonstrates that our proposed methods can achieve promising performance and versatility on different *** effectiveness of the proposed neighbor distance has also been justified through comparisons with crowding distance methods.

关键词： multimodal multi-objective optimization evolutionary algorithms promising region neighbor distance decision space coevolution

Even Search in a Promising Region for Constrained Multi-Objective Optimization

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IEEE/CAA Journal of Automatica Sinica 2024年第2期11卷 474-486页

作者： Fei Ming Wenyin gong Yaochu Jin School of Computer Science China University of GeosciencesWuhan 430074China IEEE Faculty of Technology Bielefeld UniversityNorth Rhine-Westphalia 33619Germany School of Engineering Westlake UniversityHangzhou 310030China

In recent years, a large number of approaches to constrained multi-objective optimization problems(CMOPs) have been proposed, focusing on developing tweaked strategies and techniques for handling constraints. However, an overly finetuned strategy or technique might overfit some problem types,resulting in a lack of versatility. In this article, we propose a generic search strategy that performs an even search in a promising region. The promising region, determined by obtained feasible non-dominated solutions, possesses two general ***, the constrained Pareto front(CPF) is included in the promising region. Second, as the number of feasible solutions increases or the convergence performance(i.e., approximation to the CPF) of these solutions improves, the promising region shrinks. Then we develop a new strategy named even search,which utilizes the non-dominated solutions to accelerate convergence and escape from local optima, and the feasible solutions under a constraint relaxation condition to exploit and detect feasible regions. Finally, a diversity measure is adopted to make sure that the individuals in the population evenly cover the valuable areas in the promising region. Experimental results on 45 instances from four benchmark test suites and 14 real-world CMOPs have demonstrated that searching evenly in the promising region can achieve competitive performance and excellent versatility compared to 11 most state-of-the-art methods tailored for CMOPs.

关键词： Constrained multi-objective optimization even search evolutionary algorithms promising region real-world problems

Projections of summer light rain frequency in typical terrain over eastern China under wind speed constraint

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Science China Earth Sciences 2024年第6期67卷 1885-1894页

作者： Xuechen DONG Daoyi gong Cuicui SHI Institute of Disaster Risk Science Faculty of Geographical ScienceBeijing Normal UniversityBeijing 100875China Key Laboratory of Environmental Change and Natural Disaster MOEFaculty of Geographical ScienceBeijing Normal UniversityBeijing 100875China School of National Safety and Emergency Management Beijing Normal UniversityBeijing 100875China School of Systems Science Beijing Normal UniversityBeijing 100875China

The variation in near-surface wind speed is a key dynamic parameter in the orographic effect of precipitation over eastern *** this study,we used the latest high-resolution outputs from six GCMs in CMIP6-HighResMIP to evaluate the performance of high-resolution models in simulating the orographic precipitation characteristics of typical mountainous areas in summer over eastern *** orographic precipitation under warming scenarios was projected and constrained according to observational *** results indicated that during the contemporary climate reference period(1979-2009),although the relationship between model-simulated near-surface wind speed and orographic light rain frequency was consistently stable,the sensitivity of the orographic light rain frequency to surface wind variability was generally underestimated,with a deviation approximately 24.1% lower than the observational *** estimated orographic light rain frequency corrected based on the observed near-surface wind speed under a 1.5℃ warming scenario,was 36.1% lower than that of the contemporary period;this reduction was 8.6 times that without the wind speed constraint(4.2%).The MRI-AGCM3-2-S model,with a longer dataset,demonstrated relatively stable reductions in orographic light rain frequency under different warming scenarios(1.5℃,2℃,3℃,and 4℃)after the application of wind speed *** all cases,the reductions exceeded those for the predictions made without the wind speed constraint.

关键词： Frequency of orographic light rain HighResMIP High-resolution projection Observational constraint Eastern China

Time-of-flight resolved stimulated Raman scattering microscopy using counter-propagating ultraslow Bessel light bullets generation

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Light(Science & Applications) 2024年第7期13卷 1427-1440页

作者： Shulang Lin Li gong Zhiwei Huang Optical Bioimaging Laboratory Department of Biomedical EngineeringCollege of Design and EngineeringNational University of SingaporeSingapore 117576Singapore

We present a novel time-of-flight resolved Bessel light bullet-enabled stimulated Raman scattering(B2-SRS)microscopy for deeper tissue 3D chemical imaging with high resolution without a need for mechanical *** accomplish the tasks,we conceive a unique method to enable optical sectioning by generating the counterpropagating pump and Stokes Bessel light bullets in the sample,in which the group velocities of the Bessel light bullets are made ultraslow(e.g.,vg≈0.1c)and tunable by introducing programmable angular dispersions with a spatial light *** theoretically analyze the working principle of the collinear multicolor Bessel light bullet generations and velocity controls with the relative time-of-flight resolved detection for SRS 3D deep tissue *** have also built the B2-SRS imaging system and present the first demonstration of B2-SRS microscopy with Bessel light bullets for 3D chemical imaging in a variety of samples(e.g.,polymer bead phantoms,biological samples such as spring onion tissue and porcine brain)with high *** B2-SRS technique provides a>2-fold improvement in imaging depth in porcine brain tissue compared to conventional SRS *** method of optical sectioning in tissue using counter-propagating ultraslow Bessel light bullets developed in B2-SRS is generic and easy to perform and can be readily extended to other nonlinear optical imaging modalities to advance 3D microscopic imaging in biological and biomedical systems and beyond.

关键词： Bessel resolved propagating