Second International Meeting for Applied Geoscience & Energy最新文献

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Integration of multiscale attributes using a semisupervised machine learning algorithm 使用半监督机器学习算法的多尺度属性集成
Second International Meeting for Applied Geoscience & Energy Pub Date : 2022-08-15 DOI: 10.1190/image2022-3728196.1
S. Alsinan, P. Nivlet, Y. Altowairqi, H. Karg
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引用次数: 0
Comprehensive lithological description, reservoir property, and pore-pressure prediction for unconventional shale reservoirs using rock physics: Midland reservoir characterization case study 利用岩石物理学对非常规页岩储层进行综合岩性描述、储层性质和孔隙压力预测:米德兰储层表征案例研究
Second International Meeting for Applied Geoscience & Energy Pub Date : 2022-08-15 DOI: 10.1190/image2022-3750232.1
S. Dasgupta
{"title":"Comprehensive lithological description, reservoir property, and pore-pressure prediction for unconventional shale reservoirs using rock physics: Midland reservoir characterization case study","authors":"S. Dasgupta","doi":"10.1190/image2022-3750232.1","DOIUrl":"https://doi.org/10.1190/image2022-3750232.1","url":null,"abstract":"","PeriodicalId":341517,"journal":{"name":"Second International Meeting for Applied Geoscience & Energy","volume":"31 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128666760","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: 2
A depth uncertainty estimation system with prestack seismic data 叠前地震资料深度不确定性估计系统
Second International Meeting for Applied Geoscience & Energy Pub Date : 2022-08-15 DOI: 10.1190/image2022-3745059.1
Huafeng Liu, A. Shabelansky, Jinsong Chen, Min Yang, C. Hoelting, Ying Tan
{"title":"A depth uncertainty estimation system with prestack seismic data","authors":"Huafeng Liu, A. Shabelansky, Jinsong Chen, Min Yang, C. Hoelting, Ying Tan","doi":"10.1190/image2022-3745059.1","DOIUrl":"https://doi.org/10.1190/image2022-3745059.1","url":null,"abstract":"","PeriodicalId":341517,"journal":{"name":"Second International Meeting for Applied Geoscience & Energy","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129350437","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
Suppression of coherent and random noise using adaptive thresholding method in seismic-while-drilling 随钻地震中自适应阈值法抑制相干和随机噪声
Second International Meeting for Applied Geoscience & Energy Pub Date : 2022-08-15 DOI: 10.1190/image2022-3745551.1
Yue Ma, Yujin Liu
{"title":"Suppression of coherent and random noise using adaptive thresholding method in seismic-while-drilling","authors":"Yue Ma, Yujin Liu","doi":"10.1190/image2022-3745551.1","DOIUrl":"https://doi.org/10.1190/image2022-3745551.1","url":null,"abstract":"","PeriodicalId":341517,"journal":{"name":"Second International Meeting for Applied Geoscience & Energy","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124575364","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
Net to gross changes defining compound clinoforms in outcrop — The Morne L’Enfer Formation, Trinidad 净到总变化定义了露头中的复合斜形-特立尼达的Morne L 'Enfer组
Second International Meeting for Applied Geoscience & Energy Pub Date : 2022-08-15 DOI: 10.1190/image2022-3742523.1
Ariana Osman, R. Ramsook, R. Steel
{"title":"Net to gross changes defining compound clinoforms in outcrop — The Morne L’Enfer Formation, Trinidad","authors":"Ariana Osman, R. Ramsook, R. Steel","doi":"10.1190/image2022-3742523.1","DOIUrl":"https://doi.org/10.1190/image2022-3742523.1","url":null,"abstract":"","PeriodicalId":341517,"journal":{"name":"Second International Meeting for Applied Geoscience & Energy","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124581753","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
Siting recharge basins and improving groundwater models using multiple survey methods in Southern California 利用多种调查方法在南加州定位补给盆地和改进地下水模型
Second International Meeting for Applied Geoscience & Energy Pub Date : 2022-08-15 DOI: 10.1190/image2022-3751619.1
Nicole M. Pendrigh, M. Blazevic, John Jansen, Kristen Marberry
{"title":"Siting recharge basins and improving groundwater models using multiple survey methods in Southern California","authors":"Nicole M. Pendrigh, M. Blazevic, John Jansen, Kristen Marberry","doi":"10.1190/image2022-3751619.1","DOIUrl":"https://doi.org/10.1190/image2022-3751619.1","url":null,"abstract":"","PeriodicalId":341517,"journal":{"name":"Second International Meeting for Applied Geoscience & Energy","volume":"562 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124684986","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
Aiding self-supervised coherent noise suppression by the introduction of signal segmentation using blind-spot networks 通过引入盲点网络的信号分割来辅助自监督相干噪声抑制
Second International Meeting for Applied Geoscience & Energy Pub Date : 2022-08-15 DOI: 10.1190/image2022-3742756.1
Sixiu Liu, C. Birnie, T. Alkhalifah, A. Bakulin
{"title":"Aiding self-supervised coherent noise suppression by the introduction of signal segmentation using blind-spot networks","authors":"Sixiu Liu, C. Birnie, T. Alkhalifah, A. Bakulin","doi":"10.1190/image2022-3742756.1","DOIUrl":"https://doi.org/10.1190/image2022-3742756.1","url":null,"abstract":"","PeriodicalId":341517,"journal":{"name":"Second International Meeting for Applied Geoscience & Energy","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130507393","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: 2
ADMM-based full-waveform inversion of ground-penetrating radar data 基于admm的探地雷达数据全波形反演
Second International Meeting for Applied Geoscience & Energy Pub Date : 2022-08-15 DOI: 10.1190/image2022-3745310.1
A. Jalali, H. Aghamiry, A. Gholami
{"title":"ADMM-based full-waveform inversion of ground-penetrating radar data","authors":"A. Jalali, H. Aghamiry, A. Gholami","doi":"10.1190/image2022-3745310.1","DOIUrl":"https://doi.org/10.1190/image2022-3745310.1","url":null,"abstract":"","PeriodicalId":341517,"journal":{"name":"Second International Meeting for Applied Geoscience & Energy","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126677382","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
SmartTensors: Unsupervised and physics-informed machine learning framework for the geoscience applications SmartTensors:用于地球科学应用的无监督和物理信息机器学习框架
Second International Meeting for Applied Geoscience & Energy Pub Date : 2022-08-15 DOI: 10.1190/image2022-w8-01.1
B. Ahmmed, V. Vesselinov, M. Mudunuru
{"title":"SmartTensors: Unsupervised and physics-informed machine learning framework for the geoscience applications","authors":"B. Ahmmed, V. Vesselinov, M. Mudunuru","doi":"10.1190/image2022-w8-01.1","DOIUrl":"https://doi.org/10.1190/image2022-w8-01.1","url":null,"abstract":"SmartTensors (https://github.com/SmartTensors) is a novel framework for unsupervised and physics-informed machine learning for geoscience applications. The methods in SmartTensors AI platform are developed using advanced matrix/tensor factorization constrained by penalties enforcing robustness and interpretability (e.g., nonnegativity, sparsity, physics, and mathematical constraints;etc.). This framework has been applied to analyze diverse datasets related to a wide range of problems: from COVID-19 to wildfires and climate. Here, we will focus on the analysis of geothermal prospectivity of the Great Basin, U.S. The basin covers a vast area that is yet to be thoroughly explored to discover new geothermal resources. The available regional geochemical data are expected to provide critical information about the geothermal reservoir properties in the basin, including temperature, fluid/heat flow, boundary conditions, and spatial extent. The geochemical data may also include hidden (latent) information that is a proxy for geothermal prospectivity. We processed the sparse geochemical dataset of 18 geochemical attributes observed at 14,341 locations. The data are analyzed using our GeoThermalCloud toolbox for geothermal exploration (https://github.com/SmartTensors/GeoThermalCloud.jl) whichis also a part of the SmartTensors framework. An unsupervised machine learning using non-negative matrix factorization with customized k-means clustering (NMFk) as implemented in SmartTensors identified three hidden geothermal signatures representing low-, medium-, and high-temperature reservoirs, respectively (Fig). NMFk also evaluated the probability of occurrence of these types of resources through the studied region. NMFk also reconstructed attributes from sparse into continuous over the study domain. Future work will add in the ML analyses other regional- and site-scale datasets including geological, geophysical, and geothermal attributes. © 2022 Society of Exploration Geophysicists and the American Association of Petroleum Geologists.","PeriodicalId":341517,"journal":{"name":"Second International Meeting for Applied Geoscience & Energy","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129070887","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
Monopole slow formation shear head wave Green’s function in a LWD borehole acoustic configuration 单极子慢地层剪切头波在随钻测井井声结构中的格林函数
Second International Meeting for Applied Geoscience & Energy Pub Date : 2022-08-15 DOI: 10.1190/image2022-3751596.1
T. Geerits, S. Schimschal, A. Świątek
{"title":"Monopole slow formation shear head wave Green’s function in a LWD borehole acoustic configuration","authors":"T. Geerits, S. Schimschal, A. Świątek","doi":"10.1190/image2022-3751596.1","DOIUrl":"https://doi.org/10.1190/image2022-3751596.1","url":null,"abstract":"","PeriodicalId":341517,"journal":{"name":"Second International Meeting for Applied Geoscience & Energy","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129288350","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
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