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Seismic inversion of an Antarctic Sampling using python sbppy and a shallow high resolution seismic 利用python sppy和浅层高分辨率地震反演南极样品
J. B. Cunha, A. Martins
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引用次数: 0
An analysis of the impact of Virtual Machines allocation on the cloud - The case of Full Waveform Inversion on Amazon Web Services 虚拟机分配对云的影响分析——以Amazon Web Services上的全波形反转为例
Willian Hayashida, A. Camargo, C. Rodamilans, T. Coimbra, J. Ribeiro, C. Benedicto, M. Tygel, E. Borin
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引用次数: 0
Structural analysis of magnetic lineaments in Central-West Paraná Basin (RS, SC, PR) 中南<s:1>盆地中西部磁面构造分析(RS, SC, PR)
A. J. Strieder, S. A. Buffon, Tomás Strieder
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引用次数: 1
Separation of PP and PS converted waves applied in mining exploration PP、PS转换波分离在矿山勘探中的应用
Raphael Di Carlo Silva dos Santos, J. Cruz
{"title":"Separation of PP and PS converted waves applied in mining exploration","authors":"Raphael Di Carlo Silva dos Santos, J. Cruz","doi":"10.22564/16cisbgf2019.233","DOIUrl":"https://doi.org/10.22564/16cisbgf2019.233","url":null,"abstract":"","PeriodicalId":332941,"journal":{"name":"Proceedings of the 16th International Congress of the Brazilian Geophysical Society&Expogef","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124954162","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
Estudos do avanço e recuo de intrusão salina correlacionados à sazonalidade através do uso de Tomografia de Resistividade Elétrica e GPR - Grumari - RJ 利用电阻率断层扫描和探地雷达- Grumari - RJ研究盐侵入的前进和后退与季节相关
R. Alves, Jonne Clay Fonseca Vidal, I. R. M. D. Santos, J. Pereira, Alcides Antônio dos Santos, E. F. L. Terra
{"title":"Estudos do avanço e recuo de intrusão salina correlacionados à sazonalidade através do uso de Tomografia de Resistividade Elétrica e GPR - Grumari - RJ","authors":"R. Alves, Jonne Clay Fonseca Vidal, I. R. M. D. Santos, J. Pereira, Alcides Antônio dos Santos, E. F. L. Terra","doi":"10.22564/16cisbgf2019.252","DOIUrl":"https://doi.org/10.22564/16cisbgf2019.252","url":null,"abstract":"","PeriodicalId":332941,"journal":{"name":"Proceedings of the 16th International Congress of the Brazilian Geophysical Society&Expogef","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124975084","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
Analysis of Quasi-Newton Inversion of MT data MT资料的准牛顿反演分析
Alex Silva, C. Regis
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引用次数: 0
Preliminary Results from a Magnetotelluric Transect Across the Northern Paraguay Belt 北巴拉圭带大地电磁样带的初步结果
A. Barbosa, M. Bologna
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引用次数: 0
Evaluation of the efficiency of artificial intelligence techniques of permeability results of a lower Albian carbonate reservoir of Campos Basin using the Winland method and cluster analysis 利用Winland方法和聚类分析评价人工智能技术对Campos盆地下Albian碳酸盐岩储层渗透率结果的有效性
Mohammad Al-lahham, A. Carrasquilla
The selection of artificial intelligence (AI) techniques in the petroleum industry is very efficient because it will have a direct impact on the outcome of the study and the future use of the operation. In this study, we discuss the efficiency of the AI techniques by verification the results of permeability of a lower Albian carbonate reservoir of Campos Basin using the Winland method and cluster analysis. The permeability measured by AI techniques as fuzzy logic (FL), artificial neural network (ANN) and genetic algorithm (GA) were applied in three wells, being the first used for learning and the others as blind tests. Well logs are gamma ray, density, sonic, neutron porosity and SDR permeability logs. ANN obtained better performance compared to the FL, but the results have become better with GA. Employing artificial intelligence (AI) modern techniques together with a dataset composed by well logs, lithological information and sample laboratory measurements of permeability and porosity.
在石油工业中,人工智能(AI)技术的选择是非常有效的,因为它将直接影响研究结果和未来的操作使用。在这项研究中,我们通过使用Winland方法和聚类分析验证Campos盆地下Albian碳酸盐岩储层渗透率的结果,讨论了人工智能技术的效率。采用模糊逻辑(FL)、人工神经网络(ANN)和遗传算法(GA)等人工智能技术测量了3口井的渗透率,第一口井用于学习,其余井用于盲测。测井曲线包括伽马、密度、声波、中子孔隙度和SDR渗透率测井曲线。与人工神经网络相比,人工神经网络的性能更好,而遗传算法的效果更好。采用人工智能(AI)现代技术,结合由测井、岩性信息和实验室渗透率和孔隙度测量样本组成的数据集。
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引用次数: 0
Shallow Seismic Refraction - Identification and Automatic Interpretation of Arrival Times 浅层地震折射-识别和到达时间的自动解释
Klaus Contiero, L. Diogo
Automation of human activities through computational methods is essential in today's world, whether in the academic world, in the corporate world or in everyday tasks, and in geophysical processing is not different. Much of the time spent processing a shallow refraction seismic study is spent on picking for first break identification, which, despite technological advances, remains dependent on the visual evaluation of the seismic interpreter. Thus, the automation of this process provides a more efficient result and provides more time for interpretation. In this work we used the peak detection program (Zscore). The application of the Z-score showed automatic picking efficiency, identifying 88% of the first breaks, with 92% of the detections having an error less or equal to 2%. In addition, a method for interpreting seismic events, identifying the velocities and thicknesses of the layers, was successful: Simultaneous Inversion. Thus, several automations in the processes of the seismic refraction method have proved to be satisfactory in real data.
通过计算方法实现人类活动的自动化在当今世界是必不可少的,无论是在学术界、企业界还是在日常任务中,在地球物理处理中也不例外。处理浅层折射地震研究的大部分时间都花在了选择第一次断裂识别上,尽管技术进步了,但这仍然依赖于地震解释器的视觉评价。因此,该过程的自动化提供了更有效的结果,并为解释提供了更多的时间。在这项工作中,我们使用了峰值检测程序(Zscore)。z分数的应用显示了自动拾取效率,识别出88%的第一次断裂,92%的检测误差小于或等于2%。此外,一种解释地震事件、确定地层速度和厚度的方法——同步反演也取得了成功。因此,在实际资料中证明了地震折射法过程中的若干自动化操作是令人满意的。
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引用次数: 0
Reduction to the pole in Fourier domain – good and bad filtering of real data in Brazil 傅里叶域极点化——巴西实际数据滤波的好坏
Felipe F. Melo, V. Barbosa
{"title":"Reduction to the pole in Fourier domain – good and bad filtering of real data in Brazil","authors":"Felipe F. Melo, V. Barbosa","doi":"10.22564/16cisbgf2019.240","DOIUrl":"https://doi.org/10.22564/16cisbgf2019.240","url":null,"abstract":"","PeriodicalId":332941,"journal":{"name":"Proceedings of the 16th International Congress of the Brazilian Geophysical Society&Expogef","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122155652","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
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Proceedings of the 16th International Congress of the Brazilian Geophysical Society&Expogef
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