首页 > 最新文献

Advances in Geo-Energy Research最新文献

英文 中文
Predicting adsorbed gas capacity of deep shales under high temperature and pressure: Experiments and modeling 高温高压下深层页岩吸附气容量预测:实验与模拟
IF 8.2 1区 地球科学 Q1 ENERGY & FUELS Pub Date : 2022-07-17 DOI: 10.46690/ager.2022.06.05
Shangwen Zhou, Hongyan Wang, Bobo Li, Shuangshuang Li, K. Sepehrnoori, J. Cai
{"title":"Predicting adsorbed gas capacity of deep shales under high temperature and pressure: Experiments and modeling","authors":"Shangwen Zhou, Hongyan Wang, Bobo Li, Shuangshuang Li, K. Sepehrnoori, J. Cai","doi":"10.46690/ager.2022.06.05","DOIUrl":"https://doi.org/10.46690/ager.2022.06.05","url":null,"abstract":"","PeriodicalId":36335,"journal":{"name":"Advances in Geo-Energy Research","volume":" ","pages":""},"PeriodicalIF":8.2,"publicationDate":"2022-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46289928","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 12
Characteristics, current exploration practices, and prospects of continental shale oil in China 中国大陆页岩油的特点、勘探现状及前景
IF 8.2 1区 地球科学 Q1 ENERGY & FUELS Pub Date : 2022-07-15 DOI: 10.46690/ager.2022.06.02
Xiaoni Wang, Jiarui Li, Wenqi Jiang, Hong Zhang, Youliang Feng, Zhi-Lin Yang
{"title":"Characteristics, current exploration practices, and prospects of continental shale oil in China","authors":"Xiaoni Wang, Jiarui Li, Wenqi Jiang, Hong Zhang, Youliang Feng, Zhi-Lin Yang","doi":"10.46690/ager.2022.06.02","DOIUrl":"https://doi.org/10.46690/ager.2022.06.02","url":null,"abstract":"","PeriodicalId":36335,"journal":{"name":"Advances in Geo-Energy Research","volume":" ","pages":""},"PeriodicalIF":8.2,"publicationDate":"2022-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45757149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 23
Unsteady-state CO2 foam injection for increasing enhanced oil recovery and carbon storage potential 非稳态CO2泡沫注入,提高采收率和碳储存潜力
IF 8.2 1区 地球科学 Q1 ENERGY & FUELS Pub Date : 2022-07-10 DOI: 10.46690/ager.2022.06.04
A. Sæle, A. Graue, Z. Alcorn
{"title":"Unsteady-state CO2 foam injection for increasing enhanced oil recovery and carbon storage potential","authors":"A. Sæle, A. Graue, Z. Alcorn","doi":"10.46690/ager.2022.06.04","DOIUrl":"https://doi.org/10.46690/ager.2022.06.04","url":null,"abstract":"","PeriodicalId":36335,"journal":{"name":"Advances in Geo-Energy Research","volume":" ","pages":""},"PeriodicalIF":8.2,"publicationDate":"2022-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43760444","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
Predicting brittleness indices of prospective shale formations from sparse well-log suites assisted by derivative and volatility attributes 利用导数和挥发性属性辅助稀疏测井资料预测潜在页岩地层的脆性指数
IF 8.2 1区 地球科学 Q1 ENERGY & FUELS Pub Date : 2022-07-09 DOI: 10.46690/ager.2022.04.08
David A. Wood
{"title":"Predicting brittleness indices of prospective shale formations from sparse well-log suites assisted by derivative and volatility attributes","authors":"David A. Wood","doi":"10.46690/ager.2022.04.08","DOIUrl":"https://doi.org/10.46690/ager.2022.04.08","url":null,"abstract":"","PeriodicalId":36335,"journal":{"name":"Advances in Geo-Energy Research","volume":" ","pages":""},"PeriodicalIF":8.2,"publicationDate":"2022-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48829867","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
Simulation-optimization with machine learning for geothermal reservoir recovery: Current status and future prospects 地热储层开发的机器学习模拟优化:现状与展望
IF 8.2 1区 地球科学 Q1 ENERGY & FUELS Pub Date : 2022-07-07 DOI: 10.46690/ager.2022.06.01
M. Rajabi, Mingjie Chen
: In geothermal reservoir management, combined simulation-optimization is a practical approach to achieve the optimal well placement and operation that maximizes energy recovery and reservoir longevity. The use of machine learning models is often essential to make simulation-optimization computational feasible. Tools from machine learning can be used to construct data-driven and often physics-free approximations of the numerical model response, with computational times often several orders of magnitude smaller than those required by reservoir numerical models. In this short perspective, we explain the background and current status of machine learning based combined simulation-optimization in geothermal reservoir management, and discuss several key issues that will likely form future directions
:在地热储层管理中,联合模拟优化是实现最佳井位和操作的一种实用方法,可最大限度地提高能量回收率和储层寿命。机器学习模型的使用通常是使模拟优化计算可行的关键。机器学习的工具可以用来构建数据驱动的、通常不涉及物理的数值模型响应近似值,计算时间通常比油藏数值模型所需的时间小几个数量级。在这个简短的视角中,我们解释了地热储层管理中基于机器学习的组合模拟优化的背景和现状,并讨论了可能形成未来方向的几个关键问题
{"title":"Simulation-optimization with machine learning for geothermal reservoir recovery: Current status and future prospects","authors":"M. Rajabi, Mingjie Chen","doi":"10.46690/ager.2022.06.01","DOIUrl":"https://doi.org/10.46690/ager.2022.06.01","url":null,"abstract":": In geothermal reservoir management, combined simulation-optimization is a practical approach to achieve the optimal well placement and operation that maximizes energy recovery and reservoir longevity. The use of machine learning models is often essential to make simulation-optimization computational feasible. Tools from machine learning can be used to construct data-driven and often physics-free approximations of the numerical model response, with computational times often several orders of magnitude smaller than those required by reservoir numerical models. In this short perspective, we explain the background and current status of machine learning based combined simulation-optimization in geothermal reservoir management, and discuss several key issues that will likely form future directions","PeriodicalId":36335,"journal":{"name":"Advances in Geo-Energy Research","volume":" ","pages":""},"PeriodicalIF":8.2,"publicationDate":"2022-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42807866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Criteria and favorable distribution area prediction of Paleogene effective sandstone reservoirs in the Lufeng Sag, Pearl River Mouth Basin 珠江口盆地陆丰凹陷古近系有效砂岩储层标准及有利分布区预测
IF 8.2 1区 地球科学 Q1 ENERGY & FUELS Pub Date : 2022-06-26 DOI: 10.46690/ager.2022.05.04
Savchuk A Yu, Cheng Wang, Dongxia Chen, B. Guo, Zhe Cai, Zhi Xu
: As the focus of conventional oil and gas exploration is changing from shallow to deep layers, the identification of deep effective reservoirs is crucial to exploration and development. In this paper, based on the geological anatomy of oil and gas reservoirs, a new discriminatory criterion and evaluation method for effective reservoirs is proposed in combination with the analysis of reservoir formation dynamics mechanism. The results show that the hydrocarbon properties of the reservoir vary with the ratio of the capillary force between the sandstone reservoir and its surrounding rock. The effective reservoir is discriminated and the reservoir quality is evaluated based on the capillary force and depth of the surrounding media and the sandstone reservoir for adjacent plates. When the capillary force ratio is greater than 0.6, fewer effective reservoirs are developed. The effective reservoir is determined by the capillary force ratio of the sandstone reservoir and the surrounding rock medium to mechanically explain the geological phenomenon that low-porosity reservoirs can also accumulate hydrocarbons. Our findings have significant guiding value for Paleogene oil and gas exploration in the Zhu I depression of Pearl River Mouth Basin.
随着常规油气勘探重心由浅层向深层转移,深部有效储层的识别对勘探开发至关重要。本文在油气藏地质解剖的基础上,结合成藏动力学机理分析,提出了有效油气藏的新的判别标准和评价方法。结果表明,砂岩储层的油气性质随其与围岩之间毛细力的比值而变化。根据周围介质的毛细力和深度以及相邻板块的砂岩储层来判别有效储层,评价储层质量。当毛管力比大于0.6时,有效储层发育较少。有效储层由砂岩储层与围岩介质的毛细力比决定,从力学上解释了低孔储层也能成藏的地质现象。研究结果对珠江口盆地朱一坳陷古近系油气勘探具有重要指导价值。
{"title":"Criteria and favorable distribution area prediction of Paleogene effective sandstone reservoirs in the Lufeng Sag, Pearl River Mouth Basin","authors":"Savchuk A Yu, Cheng Wang, Dongxia Chen, B. Guo, Zhe Cai, Zhi Xu","doi":"10.46690/ager.2022.05.04","DOIUrl":"https://doi.org/10.46690/ager.2022.05.04","url":null,"abstract":": As the focus of conventional oil and gas exploration is changing from shallow to deep layers, the identification of deep effective reservoirs is crucial to exploration and development. In this paper, based on the geological anatomy of oil and gas reservoirs, a new discriminatory criterion and evaluation method for effective reservoirs is proposed in combination with the analysis of reservoir formation dynamics mechanism. The results show that the hydrocarbon properties of the reservoir vary with the ratio of the capillary force between the sandstone reservoir and its surrounding rock. The effective reservoir is discriminated and the reservoir quality is evaluated based on the capillary force and depth of the surrounding media and the sandstone reservoir for adjacent plates. When the capillary force ratio is greater than 0.6, fewer effective reservoirs are developed. The effective reservoir is determined by the capillary force ratio of the sandstone reservoir and the surrounding rock medium to mechanically explain the geological phenomenon that low-porosity reservoirs can also accumulate hydrocarbons. Our findings have significant guiding value for Paleogene oil and gas exploration in the Zhu I depression of Pearl River Mouth Basin.","PeriodicalId":36335,"journal":{"name":"Advances in Geo-Energy Research","volume":" ","pages":""},"PeriodicalIF":8.2,"publicationDate":"2022-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47658306","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Potential resources of conventional, tight, and shale oil and gas from Paleogene Wenchang Formation source rocks in the Huizhou Depression 惠州坳陷古近系文昌组烃源岩中常规、致密和页岩油气资源潜力
IF 8.2 1区 地球科学 Q1 ENERGY & FUELS Pub Date : 2022-06-26 DOI: 10.46690/ager.2022.05.05
T. Hu, Guanyun Wu, Zhi Xu, X. Pang, Yang Liu, Sa Yu
{"title":"Potential resources of conventional, tight, and shale oil and gas from Paleogene Wenchang Formation source rocks in the Huizhou Depression","authors":"T. Hu, Guanyun Wu, Zhi Xu, X. Pang, Yang Liu, Sa Yu","doi":"10.46690/ager.2022.05.05","DOIUrl":"https://doi.org/10.46690/ager.2022.05.05","url":null,"abstract":"","PeriodicalId":36335,"journal":{"name":"Advances in Geo-Energy Research","volume":" ","pages":""},"PeriodicalIF":8.2,"publicationDate":"2022-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43909659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 17
Quantitative prediction of structural fractures in the Paleocene lower Wenchang formation reservoir of the Lufeng Depression 陆丰凹陷古新统下文昌组储层构造裂缝定量预测
IF 8.2 1区 地球科学 Q1 ENERGY & FUELS Pub Date : 2022-06-25 DOI: 10.46690/ager.2022.05.03
Hui Li, Fusheng Yu, Meng Wang, Yanfei Wang, Yi-liang Liu
{"title":"Quantitative prediction of structural fractures in the Paleocene lower Wenchang formation reservoir of the Lufeng Depression","authors":"Hui Li, Fusheng Yu, Meng Wang, Yanfei Wang, Yi-liang Liu","doi":"10.46690/ager.2022.05.03","DOIUrl":"https://doi.org/10.46690/ager.2022.05.03","url":null,"abstract":"","PeriodicalId":36335,"journal":{"name":"Advances in Geo-Energy Research","volume":" ","pages":""},"PeriodicalIF":8.2,"publicationDate":"2022-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49606559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 11
A new upscaling method for microscopic fluid flow based on digital rocks 一种新的基于数字岩石的微观流体流动放大方法
IF 8.2 1区 地球科学 Q1 ENERGY & FUELS Pub Date : 2022-06-24 DOI: 10.46690/ager.2022.04.10
Q. Liao, L. Xue, Bin Wang, Gang Lei
: This report presents our new findings in microscopic fluid flow based on digital rocks. Permeability of digital rocks can be estimated by pore-scale simulations using the Stokes equation, but the computational cost can be extremely high due to the complicated pore geometry and the large number of voxels. In this study, a novel method is proposed to simplify the three-dimensional pore-scale simulation to multiple decoupled two-dimensional ones, and each two-dimensional simulation provides the velocity distribution over a slice. By this decoupled simulation approach, the expensive simulation based on the Stokes equation is conducted only on two-dimensional domains, and the final three-dimensional simulation of Darcy equation using the finite difference method is very cheap. The proposed method is validated by both sandstone and carbonate rock samples and shows significant enhancement in the computational speed. This work sheds light on large-scale microscopic fluid flow based on digital rocks.
:本报告介绍了我们在基于数字岩石的微观流体流动方面的新发现。数字岩石的渗透率可以通过使用斯托克斯方程的孔隙尺度模拟来估计,但由于复杂的孔隙几何形状和大量的体素,计算成本可能极高。在这项研究中,提出了一种新的方法,将三维孔隙尺度模拟简化为多个解耦的二维模拟,每个二维模拟都提供了切片上的速度分布。通过这种解耦模拟方法,基于Stokes方程的昂贵模拟仅在二维域上进行,而使用有限差分方法对Darcy方程的最终三维模拟非常便宜。所提出的方法通过砂岩和碳酸盐岩样本进行了验证,并显示出计算速度的显著提高。这项工作揭示了基于数字岩石的大规模微观流体流动。
{"title":"A new upscaling method for microscopic fluid flow based on digital rocks","authors":"Q. Liao, L. Xue, Bin Wang, Gang Lei","doi":"10.46690/ager.2022.04.10","DOIUrl":"https://doi.org/10.46690/ager.2022.04.10","url":null,"abstract":": This report presents our new findings in microscopic fluid flow based on digital rocks. Permeability of digital rocks can be estimated by pore-scale simulations using the Stokes equation, but the computational cost can be extremely high due to the complicated pore geometry and the large number of voxels. In this study, a novel method is proposed to simplify the three-dimensional pore-scale simulation to multiple decoupled two-dimensional ones, and each two-dimensional simulation provides the velocity distribution over a slice. By this decoupled simulation approach, the expensive simulation based on the Stokes equation is conducted only on two-dimensional domains, and the final three-dimensional simulation of Darcy equation using the finite difference method is very cheap. The proposed method is validated by both sandstone and carbonate rock samples and shows significant enhancement in the computational speed. This work sheds light on large-scale microscopic fluid flow based on digital rocks.","PeriodicalId":36335,"journal":{"name":"Advances in Geo-Energy Research","volume":" ","pages":""},"PeriodicalIF":8.2,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48726998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
Hydrocarbon accumulation model based on threshold combination control and favorable zone prediction for the lower Enping Formation, Southern Lufeng sag 陆丰凹陷南部恩平组下段阈值组合控制成藏模式及有利带预测
IF 8.2 1区 地球科学 Q1 ENERGY & FUELS Pub Date : 2022-06-20 DOI: 10.46690/ager.2022.05.08
Li-li Zhang, X. Pang, H. Pang, X. Huo, Kuiyou Ma, Shengmin Huang
{"title":"Hydrocarbon accumulation model based on threshold combination control and favorable zone prediction for the lower Enping Formation, Southern Lufeng sag","authors":"Li-li Zhang, X. Pang, H. Pang, X. Huo, Kuiyou Ma, Shengmin Huang","doi":"10.46690/ager.2022.05.08","DOIUrl":"https://doi.org/10.46690/ager.2022.05.08","url":null,"abstract":"","PeriodicalId":36335,"journal":{"name":"Advances in Geo-Energy Research","volume":" ","pages":""},"PeriodicalIF":8.2,"publicationDate":"2022-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41863282","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
期刊
Advances in Geo-Energy Research
全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1