首页 > 最新文献

Second EAGE Conference on Pre-Salt Reservoir最新文献

英文 中文
Case Study: Neural Network Implementation in Ensemble Machine Learning for Well Log Estimation, Case Applied in Campos Basin 案例研究:神经网络在集成机器学习测井估计中的实现,案例应用于Campos盆地
Pub Date : 2021-09-08 DOI: 10.3997/2214-4609.202183042
E. Lira, R. M. Mendes
Summary Several activities in geosciences are supported by hard data, which are represented by trustworthy information. However, not all wells offer basic logs such as sonic and density. This kind of information is significant for characterization in reservoir geophysics. This case study proposes a combination of Multilayer Perceptron (MLP) tools that constitute a type of Artificial Neural Network (ANN) and the Ensemble Machine Learning (EML) technique, in the prediction of missing or imputation log data based on the dataset of the Campos Basin. Such machine learning tools are considered robust, fast, and low cost, widely used in several areas. The study explores the combination of MLP and EML in the development of the learning algorithm. The use of MLP was “tuned” with optimal hyperparameters through GridSearch and the EML built through the Voting Estimator technique in a weighted way through the Scikit-learn library. It’s selected well logs like sonic, density, porosity, among other information for training. The velocity profile was selected as the prediction target. The best calculation parameters and errors of ensemble machine learners were generated, and thus, to analyze the generalizability of the algorithms. And finally, the EML Results were compared with the test samples.
地球科学中的一些活动是由可靠的信息所代表的硬数据支持的。然而,并非所有井都能提供声波和密度等基本测井数据。这类信息对储层地球物理表征具有重要意义。本案例研究提出了一种多层感知器(MLP)工具的组合,该工具构成了一种人工神经网络(ANN)和集成机器学习(EML)技术,用于预测基于Campos盆地数据集的缺失或输入日志数据。这种机器学习工具被认为是鲁棒、快速、低成本的,广泛应用于多个领域。本研究探索了MLP和EML在学习算法开发中的结合。通过GridSearch使用最优超参数“调整”MLP的使用,并通过投票估计器技术通过Scikit-learn库以加权方式构建EML。它可以选择声波、密度、孔隙度等测井信息进行训练。选择速度剖面作为预测目标。生成了集成机器学习器的最佳计算参数和误差,从而分析了算法的可泛化性。最后,将EML结果与试验样品进行了比较。
{"title":"Case Study: Neural Network Implementation in Ensemble Machine Learning for Well Log Estimation, Case Applied in Campos Basin","authors":"E. Lira, R. M. Mendes","doi":"10.3997/2214-4609.202183042","DOIUrl":"https://doi.org/10.3997/2214-4609.202183042","url":null,"abstract":"Summary Several activities in geosciences are supported by hard data, which are represented by trustworthy information. However, not all wells offer basic logs such as sonic and density. This kind of information is significant for characterization in reservoir geophysics. This case study proposes a combination of Multilayer Perceptron (MLP) tools that constitute a type of Artificial Neural Network (ANN) and the Ensemble Machine Learning (EML) technique, in the prediction of missing or imputation log data based on the dataset of the Campos Basin. Such machine learning tools are considered robust, fast, and low cost, widely used in several areas. The study explores the combination of MLP and EML in the development of the learning algorithm. The use of MLP was “tuned” with optimal hyperparameters through GridSearch and the EML built through the Voting Estimator technique in a weighted way through the Scikit-learn library. It’s selected well logs like sonic, density, porosity, among other information for training. The velocity profile was selected as the prediction target. The best calculation parameters and errors of ensemble machine learners were generated, and thus, to analyze the generalizability of the algorithms. And finally, the EML Results were compared with the test samples.","PeriodicalId":21695,"journal":{"name":"Second EAGE Conference on Pre-Salt Reservoir","volume":"43 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84578600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
4D Seismic Applied to Pre-Salt Carbonate Reservoirs: Challenges and Results from Tupi Pilot, Santos Basin Santos盆地Tupi Pilot地区的四维地震在盐下碳酸盐岩储层中的应用
Pub Date : 2021-09-08 DOI: 10.3997/2214-4609.202183011
Nayara Mendes Cruz, J. N. Cruz, M. Costa, E. Urasaki, L. Teixeira, M. H. Grochau
Summary PETROBRAS concluded in 2020 the pioneering seismic project for monitoring Pre-Salt reservoirs, known as the Tupi Nodes Pilot project, using the time-lapse technique. The project involved 4D feasibility studies, two ocean-bottom-nodes (OBN) surveys and 4D seismic interpretation. Particularly for the Tupi field, but with the promise of serving as a field test for the entire Pre-Salt section, these 4D OBN surveys and studies will hopefully assist to identify oil-bypassed targets for infill wells, optimize the use of intelligent completion valves to improve the reservoir overall sweep and calibrate the water-alternating-gas (WAG) injection cycles to increase oil recovery. Given the technological character of this pilot, it is a huge achievement that time-lapse images reveal the capability of 4D seismic to correctly distinguish discrete fluid variations and its paths through the stiff carbonate reservoirs of Tupi field. The technical-entrepreneurial success of Tupi Nodes Pilot has become a reference for the entire oil industry and already underpins new 4D projects for the Brazilian Pre-Salt. This success reflects the interdisciplinary engagement of geophysicists, geologists and engineers from PETROBRAS Exploration and Reservoir Development areas.
巴西国家石油公司于2020年完成了开创性的盐下储层监测地震项目,即使用延时技术的Tupi节点试点项目。该项目包括四维可行性研究、两次海底节点(OBN)调查和四维地震解释。特别是对于Tupi油田,这些4D OBN调查和研究有望作为整个盐下段的现场测试,有助于确定填充井的油绕过目标,优化智能完井阀的使用,以改善储层的整体扫描,并校准水-气交替(WAG)注入周期,以提高石油采收率。考虑到此次试验的技术特点,延时成像显示了四维地震在图皮油田硬质碳酸盐岩储层中正确识别离散流体变化及其路径的能力,这是一项巨大的成就。Tupi Nodes Pilot的技术创业成功已经成为整个石油行业的参考,并已经为巴西盐下油田的新4D项目奠定了基础。这一成功反映了来自PETROBRAS勘探和油藏开发领域的地球物理学家、地质学家和工程师的跨学科参与。
{"title":"4D Seismic Applied to Pre-Salt Carbonate Reservoirs: Challenges and Results from Tupi Pilot, Santos Basin","authors":"Nayara Mendes Cruz, J. N. Cruz, M. Costa, E. Urasaki, L. Teixeira, M. H. Grochau","doi":"10.3997/2214-4609.202183011","DOIUrl":"https://doi.org/10.3997/2214-4609.202183011","url":null,"abstract":"Summary PETROBRAS concluded in 2020 the pioneering seismic project for monitoring Pre-Salt reservoirs, known as the Tupi Nodes Pilot project, using the time-lapse technique. The project involved 4D feasibility studies, two ocean-bottom-nodes (OBN) surveys and 4D seismic interpretation. Particularly for the Tupi field, but with the promise of serving as a field test for the entire Pre-Salt section, these 4D OBN surveys and studies will hopefully assist to identify oil-bypassed targets for infill wells, optimize the use of intelligent completion valves to improve the reservoir overall sweep and calibrate the water-alternating-gas (WAG) injection cycles to increase oil recovery. Given the technological character of this pilot, it is a huge achievement that time-lapse images reveal the capability of 4D seismic to correctly distinguish discrete fluid variations and its paths through the stiff carbonate reservoirs of Tupi field. The technical-entrepreneurial success of Tupi Nodes Pilot has become a reference for the entire oil industry and already underpins new 4D projects for the Brazilian Pre-Salt. This success reflects the interdisciplinary engagement of geophysicists, geologists and engineers from PETROBRAS Exploration and Reservoir Development areas.","PeriodicalId":21695,"journal":{"name":"Second EAGE Conference on Pre-Salt Reservoir","volume":"47 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82093091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Developing Concepts for Excess Permeability in the Pre-Salt: Dynamic Modeling to Evaluate Impacts of Excess Permeability (Non-Matrix) Scenarios on Reservoir Performance 盐下超渗透率概念的发展:动态建模评估超渗透率(非基质)情景对储层性能的影响
Pub Date : 2021-09-08 DOI: 10.3997/2214-4609.202183012
H. Al-Qassab
Summary Reservoir scenarios, generated from multiscale data for Non-Matrix across a variety of static and dynamic data types in the Pre-Salt carbonates, are integrated into 3D cross-sectional reservoir model. These scenarios include different geological concepts of matrix and non-matrix types through Single Porosity/Single Permeability (SPSP) and Dual Porosity/Dual Permeability (DPDP) models. Different fluid types ranging from heavy to light hydrocarbon, column heights, and displacement functions are tested. Compositional flow simulations are run to quantify the impact of these scenarios and test the sensitivity to recovery, well rate, water and gas arrivals using primary depletion and secondary recovery of water, gas reinjection, and a combination of both. Moreover, scenarios for miscible CO2 injections are conducted to learn variable impacts on production and reservoir performance. The study produced credible scenarios with an impact on appraisal and development decisions (Estimated Ultimate Recovery/ EUR basis) for CO2-rich gas cap or high CO2 oil outcomes. It also provides guidance, thresholds, and scenarios to support business decision-making when CO2 is encountered including Gas-cap development feasibility and gas management.
通过盐下碳酸盐岩中各种静态和动态数据类型的非矩阵多尺度数据生成油藏场景,并将其集成到三维截面油藏模型中。这些场景包括单孔隙度/单渗透率(SPSP)和双孔隙度/双渗透率(DPDP)模型中基质和非基质类型的不同地质概念。测试了从重烃到轻烃的不同流体类型、柱高度和驱替函数。通过进行组合流动模拟来量化这些情景的影响,并通过一次枯竭和二次采水、气体回注以及两者的结合,测试对采收率、井速、水和气到达的敏感性。此外,还进行了注入混相二氧化碳的场景,以了解对生产和油藏动态的不同影响。该研究得出了对富含二氧化碳气顶或高二氧化碳油结果的评估和开发决策(估计最终采收率/欧元)产生影响的可信情景。当遇到二氧化碳时,它还提供了指导、阈值和场景,以支持业务决策,包括气顶开发可行性和天然气管理。
{"title":"Developing Concepts for Excess Permeability in the Pre-Salt: Dynamic Modeling to Evaluate Impacts of Excess Permeability (Non-Matrix) Scenarios on Reservoir Performance","authors":"H. Al-Qassab","doi":"10.3997/2214-4609.202183012","DOIUrl":"https://doi.org/10.3997/2214-4609.202183012","url":null,"abstract":"Summary Reservoir scenarios, generated from multiscale data for Non-Matrix across a variety of static and dynamic data types in the Pre-Salt carbonates, are integrated into 3D cross-sectional reservoir model. These scenarios include different geological concepts of matrix and non-matrix types through Single Porosity/Single Permeability (SPSP) and Dual Porosity/Dual Permeability (DPDP) models. Different fluid types ranging from heavy to light hydrocarbon, column heights, and displacement functions are tested. Compositional flow simulations are run to quantify the impact of these scenarios and test the sensitivity to recovery, well rate, water and gas arrivals using primary depletion and secondary recovery of water, gas reinjection, and a combination of both. Moreover, scenarios for miscible CO2 injections are conducted to learn variable impacts on production and reservoir performance. The study produced credible scenarios with an impact on appraisal and development decisions (Estimated Ultimate Recovery/ EUR basis) for CO2-rich gas cap or high CO2 oil outcomes. It also provides guidance, thresholds, and scenarios to support business decision-making when CO2 is encountered including Gas-cap development feasibility and gas management.","PeriodicalId":21695,"journal":{"name":"Second EAGE Conference on Pre-Salt Reservoir","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90577304","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
A Workflow for 4D Seismic Analysis Based on Carbonate Rock Physics Applied to Brazil Pre-Salt 基于碳酸盐岩物理的四维地震分析工作流程在巴西盐下油藏的应用
Pub Date : 2021-01-01 DOI: 10.3997/2214-4609.202183004
J. Dias, J. Lopez, F. Perosi, L. Borghi
{"title":"A Workflow for 4D Seismic Analysis Based on Carbonate Rock Physics Applied to Brazil Pre-Salt","authors":"J. Dias, J. Lopez, F. Perosi, L. Borghi","doi":"10.3997/2214-4609.202183004","DOIUrl":"https://doi.org/10.3997/2214-4609.202183004","url":null,"abstract":"","PeriodicalId":21695,"journal":{"name":"Second EAGE Conference on Pre-Salt Reservoir","volume":"31 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81717118","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Innovative New Workflow for Rapid Salt Scenario Testing Through 3D Mesh Interpretation, FWI, and Tomography: Brazil Pre-Salt Case Study 通过3D网格解释、FWI和断层扫描进行快速盐场景测试的创新新工作流程:巴西盐下案例研究
Pub Date : 2021-01-01 DOI: 10.3997/2214-4609.202183025
C. Gans, X. Li, Y. Cha, M. Fabijanić
{"title":"Innovative New Workflow for Rapid Salt Scenario Testing Through 3D Mesh Interpretation, FWI, and Tomography: Brazil Pre-Salt Case Study","authors":"C. Gans, X. Li, Y. Cha, M. Fabijanić","doi":"10.3997/2214-4609.202183025","DOIUrl":"https://doi.org/10.3997/2214-4609.202183025","url":null,"abstract":"","PeriodicalId":21695,"journal":{"name":"Second EAGE Conference on Pre-Salt Reservoir","volume":"69 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81466408","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Fracture Characteristics and Some Controls on their Occurrence in the Barra Velha Formation in the Santos Basin 桑托斯盆地Barra Velha组裂缝特征及其产状控制因素
Pub Date : 2021-01-01 DOI: 10.3997/2214-4609.202183023
O. P. Wennberg, F. De Oliveira Ramalho, M. V. Mafia, F. Lapponi, A. S. Chandler, L. G. Cartesio
{"title":"Fracture Characteristics and Some Controls on their Occurrence in the Barra Velha Formation in the Santos Basin","authors":"O. P. Wennberg, F. De Oliveira Ramalho, M. V. Mafia, F. Lapponi, A. S. Chandler, L. G. Cartesio","doi":"10.3997/2214-4609.202183023","DOIUrl":"https://doi.org/10.3997/2214-4609.202183023","url":null,"abstract":"","PeriodicalId":21695,"journal":{"name":"Second EAGE Conference on Pre-Salt Reservoir","volume":"18 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87277453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Insights from Process-Based Models and Integration with Reservoir Characterization and Rock Typing Workflows for the Pre-Salt Lacustrine Carbonate Reservoirs 盐下湖相碳酸盐岩储层基于过程模型与储层表征和岩石分型工作流程集成的见解
Pub Date : 2021-01-01 DOI: 10.3997/2214-4609.202183029
E. Pedersen, L. Rodríguez, G. Jones, H. Qualman
{"title":"Insights from Process-Based Models and Integration with Reservoir Characterization and Rock Typing Workflows for the Pre-Salt Lacustrine Carbonate Reservoirs","authors":"E. Pedersen, L. Rodríguez, G. Jones, H. Qualman","doi":"10.3997/2214-4609.202183029","DOIUrl":"https://doi.org/10.3997/2214-4609.202183029","url":null,"abstract":"","PeriodicalId":21695,"journal":{"name":"Second EAGE Conference on Pre-Salt Reservoir","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90950417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Micro-CT Imaging of Low Salinity Water Induced EOR Mechanisms in Pre-Salt Carbonates 盐下碳酸盐岩低盐度水驱提高采收率机理的微ct成像研究
Pub Date : 2021-01-01 DOI: 10.3997/2214-4609.202183030
T. Ramstad, A. Kristoffersen, L. Rennan, R. Wat, C.J.T. De Lima
{"title":"Micro-CT Imaging of Low Salinity Water Induced EOR Mechanisms in Pre-Salt Carbonates","authors":"T. Ramstad, A. Kristoffersen, L. Rennan, R. Wat, C.J.T. De Lima","doi":"10.3997/2214-4609.202183030","DOIUrl":"https://doi.org/10.3997/2214-4609.202183030","url":null,"abstract":"","PeriodicalId":21695,"journal":{"name":"Second EAGE Conference on Pre-Salt Reservoir","volume":"54 5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90970758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
New Concepts for Karst Architecture in Carbonate Reservoirs: Insights from San Salvador Island Bahamas 碳酸盐岩储层岩溶结构的新概念:来自巴哈马圣萨尔瓦多岛的见解
Pub Date : 2021-01-01 DOI: 10.3997/2214-4609.202183024
C. Breithaupt, P. Moore, J. Gulley, F. Fernandez-ibanez, S. Fullmer, C. Kerans, D. Cleavland
{"title":"New Concepts for Karst Architecture in Carbonate Reservoirs: Insights from San Salvador Island Bahamas","authors":"C. Breithaupt, P. Moore, J. Gulley, F. Fernandez-ibanez, S. Fullmer, C. Kerans, D. Cleavland","doi":"10.3997/2214-4609.202183024","DOIUrl":"https://doi.org/10.3997/2214-4609.202183024","url":null,"abstract":"","PeriodicalId":21695,"journal":{"name":"Second EAGE Conference on Pre-Salt Reservoir","volume":"52 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87428969","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Crustal Features and Transfer Zone of Campos Basin: A Review and Evaluation 坎波斯盆地地壳特征与转移带的回顾与评价
Pub Date : 2021-01-01 DOI: 10.3997/2214-4609.202183022
P. Álvarez, A.C. Araüjo, N. Stanton, J. P. Oliveira, R. Ferro, M. Iemma, I. Nascimento, L. Borghi
{"title":"Crustal Features and Transfer Zone of Campos Basin: A Review and Evaluation","authors":"P. Álvarez, A.C. Araüjo, N. Stanton, J. P. Oliveira, R. Ferro, M. Iemma, I. Nascimento, L. Borghi","doi":"10.3997/2214-4609.202183022","DOIUrl":"https://doi.org/10.3997/2214-4609.202183022","url":null,"abstract":"","PeriodicalId":21695,"journal":{"name":"Second EAGE Conference on Pre-Salt Reservoir","volume":"17 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90432326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
期刊
Second EAGE Conference on Pre-Salt Reservoir
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