发布求助
文献互助 智能选刊 最新文献

Proceedings of the 14th SEGJ International Symposium, Online, 18–21 October 2021最新文献

筛选
英文 中文
A spontaneous dynamic fault rupture simulation without giving a priori rupture starting area and rupture stopping area 一种不预先给出破裂起始区和破裂停止区的自发动态断层破裂模拟方法
Proceedings of the 14th SEGJ International Symposium, Online, 18–21 October 2021 Pub Date : 2021-11-29 DOI: 10.1190/segj2021-080.1
M. Yamada, K. Hada, R. Imai, H. Fujiwara
{"title":"A spontaneous dynamic fault rupture simulation without giving a priori rupture starting area and rupture stopping area","authors":"M. Yamada, K. Hada, R. Imai, H. Fujiwara","doi":"10.1190/segj2021-080.1","DOIUrl":"https://doi.org/10.1190/segj2021-080.1","url":null,"abstract":"","PeriodicalId":414700,"journal":{"name":"Proceedings of the 14th SEGJ International Symposium, Online, 18–21 October 2021","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116217343","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
Anisotropy-based wireline logging data normalization in shale gas horizontal wells and customized formation evaluation in Changning shale gas field 基于各向异性的页岩气水平井测井数据归一化及长宁页岩气田地层个性化评价
Proceedings of the 14th SEGJ International Symposium, Online, 18–21 October 2021 Pub Date : 2021-11-29 DOI: 10.1190/segj2021-072.1
M. Liao, Bin Lin, Zhong Li, Yang Yang, Yanhui Fu, H. F. Yao
{"title":"Anisotropy-based wireline logging data normalization in shale gas horizontal wells and customized formation evaluation in Changning shale gas field","authors":"M. Liao, Bin Lin, Zhong Li, Yang Yang, Yanhui Fu, H. F. Yao","doi":"10.1190/segj2021-072.1","DOIUrl":"https://doi.org/10.1190/segj2021-072.1","url":null,"abstract":"","PeriodicalId":414700,"journal":{"name":"Proceedings of the 14th SEGJ International Symposium, Online, 18–21 October 2021","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121966972","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
Quantitative evaluation of the relative permittivity of artificial soil with altered soil types and water content 不同土壤类型和含水量人工土壤相对介电常数的定量评价
Proceedings of the 14th SEGJ International Symposium, Online, 18–21 October 2021 Pub Date : 2021-11-29 DOI: 10.1190/segj2021-046.1
Toshinori Kanemitsu, Yohei Morifuji, Kenji Kubota
{"title":"Quantitative evaluation of the relative permittivity of artificial soil with altered soil types and water content","authors":"Toshinori Kanemitsu, Yohei Morifuji, Kenji Kubota","doi":"10.1190/segj2021-046.1","DOIUrl":"https://doi.org/10.1190/segj2021-046.1","url":null,"abstract":"","PeriodicalId":414700,"journal":{"name":"Proceedings of the 14th SEGJ International Symposium, Online, 18–21 October 2021","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130629594","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
High-resolution image acquired by deep sub-bottom profiling of small-scale features using complex attributes analysis on northeastern Hawaiian Arch 基于复杂属性分析的夏威夷拱门东北段小尺度地物深底剖面高分辨率图像
Proceedings of the 14th SEGJ International Symposium, Online, 18–21 October 2021 Pub Date : 2021-11-29 DOI: 10.1190/segj2021-071.1
M. Yamashita, S. Miura, Ryôichi Miura
{"title":"High-resolution image acquired by deep sub-bottom profiling of small-scale features using complex attributes analysis on northeastern Hawaiian Arch","authors":"M. Yamashita, S. Miura, Ryôichi Miura","doi":"10.1190/segj2021-071.1","DOIUrl":"https://doi.org/10.1190/segj2021-071.1","url":null,"abstract":"","PeriodicalId":414700,"journal":{"name":"Proceedings of the 14th SEGJ International Symposium, Online, 18–21 October 2021","volume":"2268 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130243659","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
Shape carving methods of geologic body interpretation from seismic data based on deep learning 基于深度学习的地震资料地质体解释的形状雕刻方法
Proceedings of the 14th SEGJ International Symposium, Online, 18–21 October 2021 Pub Date : 2021-11-29 DOI: 10.1190/segj2021-066.1
S. Petrov, T. Mukerji, Xin Zhang, Xinfei Yan
{"title":"Shape carving methods of geologic body interpretation from seismic data based on deep learning","authors":"S. Petrov, T. Mukerji, Xin Zhang, Xinfei Yan","doi":"10.1190/segj2021-066.1","DOIUrl":"https://doi.org/10.1190/segj2021-066.1","url":null,"abstract":"The task of seismic data interpretation is a time-consuming and uncertain process. Machine learning tools can help to build a shortcut between raw seismic data and reservoir characteristics of interest. Recently, techniques involving convolutional neural networks have started to gain momentum. Convolutional neural networks are particularly efficient at pattern recognition within images, and this is why they are suitable for seismic facies classification and interpretation tasks. We experimented with three different architectures based on convolutional layers and compared them with different synthetic and field datasets in terms of quality of the seismic interpretation results and computational efficiency. The architectures used in our study were three deep fully convolutional architectures: a 3D convolutional network with a fully connected head; a 2D fully convolutional network, and U-Net. We found the U-Net architecture to be both robust and the fastest when performing classification at the prediction stage. The 3D convolutional model with a fully connected head was the slowest, while a fully convolutional model was unstable in its predictions.","PeriodicalId":414700,"journal":{"name":"Proceedings of the 14th SEGJ International Symposium, Online, 18–21 October 2021","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130279594","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
Statistical analysis of the Vs30 structure of Almeria city (southeast of Spain) inferred from topographic slope method 用地形坡度法对西班牙东南部阿尔梅里亚市Vs30结构的统计分析
Proceedings of the 14th SEGJ International Symposium, Online, 18–21 October 2021 Pub Date : 2021-11-29 DOI: 10.1190/segj2021-088.1
F. López, M. Navarro, P. Martínez-Pagán, A. García-Jerez, J. Pérez-Cuevas, T. Enomoto
{"title":"Statistical analysis of the Vs30 structure of Almeria city (southeast of Spain) inferred from topographic slope method","authors":"F. López, M. Navarro, P. Martínez-Pagán, A. García-Jerez, J. Pérez-Cuevas, T. Enomoto","doi":"10.1190/segj2021-088.1","DOIUrl":"https://doi.org/10.1190/segj2021-088.1","url":null,"abstract":"","PeriodicalId":414700,"journal":{"name":"Proceedings of the 14th SEGJ International Symposium, Online, 18–21 October 2021","volume":"207 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134236338","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
Robust time-lapse full-waveform inversion using boundary integral representation: Numerical examples for borehole and ambient seismic noise monitoring 使用边界积分表示的鲁棒时移全波形反演:井眼和环境地震噪声监测的数值例子
Proceedings of the 14th SEGJ International Symposium, Online, 18–21 October 2021 Pub Date : 2021-11-29 DOI: 10.1190/segj2021-065.1
S. Minato
{"title":"Robust time-lapse full-waveform inversion using boundary integral representation: Numerical examples for borehole and ambient seismic noise monitoring","authors":"S. Minato","doi":"10.1190/segj2021-065.1","DOIUrl":"https://doi.org/10.1190/segj2021-065.1","url":null,"abstract":"","PeriodicalId":414700,"journal":{"name":"Proceedings of the 14th SEGJ International Symposium, Online, 18–21 October 2021","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131030510","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
Detection of P-S travel time for low SNR event by particle motion analysis 用粒子运动分析检测低信噪比事件的P-S走时
Proceedings of the 14th SEGJ International Symposium, Online, 18–21 October 2021 Pub Date : 2021-11-29 DOI: 10.1190/segj2021-034.1
Jingyi Sun, Y. Mukuhira, T. Nagata, T. Nonomura, H. Moriya, Takatoshi Ito
{"title":"Detection of P-S travel time for low SNR event by particle motion analysis","authors":"Jingyi Sun, Y. Mukuhira, T. Nagata, T. Nonomura, H. Moriya, Takatoshi Ito","doi":"10.1190/segj2021-034.1","DOIUrl":"https://doi.org/10.1190/segj2021-034.1","url":null,"abstract":"","PeriodicalId":414700,"journal":{"name":"Proceedings of the 14th SEGJ International Symposium, Online, 18–21 October 2021","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133694931","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
Surface displacement during the periods before and after the 2018 northern Osaka earthquake estimated by PSInSAR analysis PSInSAR分析估算2018年大阪北部地震前后的地表位移
Proceedings of the 14th SEGJ International Symposium, Online, 18–21 October 2021 Pub Date : 2021-11-29 DOI: 10.1190/segj2021-037.1
Y. Shigemitsu, K. Ishitsuka, Weiren Lin
{"title":"Surface displacement during the periods before and after the 2018 northern Osaka earthquake estimated by PSInSAR analysis","authors":"Y. Shigemitsu, K. Ishitsuka, Weiren Lin","doi":"10.1190/segj2021-037.1","DOIUrl":"https://doi.org/10.1190/segj2021-037.1","url":null,"abstract":"","PeriodicalId":414700,"journal":{"name":"Proceedings of the 14th SEGJ International Symposium, Online, 18–21 October 2021","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114676752","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
Anisotropic seismic reservoir characterization: Practical applications 各向异性地震储层表征:实际应用
Proceedings of the 14th SEGJ International Symposium, Online, 18–21 October 2021 Pub Date : 2021-11-29 DOI: 10.1190/segj2021-062.1
M. Asaka
{"title":"Anisotropic seismic reservoir characterization: Practical applications","authors":"M. Asaka","doi":"10.1190/segj2021-062.1","DOIUrl":"https://doi.org/10.1190/segj2021-062.1","url":null,"abstract":"","PeriodicalId":414700,"journal":{"name":"Proceedings of the 14th SEGJ International Symposium, Online, 18–21 October 2021","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117102340","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
下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
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
请完成安全验证×
相关产品
×
本文献相关产品
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信