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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
A test of gamma-spectrometry in well-cuttings for paleoenvironmental and depositional studies on the Parque dos Gaviões Gas Field, Parnaíba Basin, Brazil 巴西Parnaíba盆地Parque dos Gaviões气田古环境与沉积研究中岩屑伽马能谱测试
J. Nobre, A. Freire, C. Silva
Present work consists in the measurement of the total and spectral gamma radiation of cutting samples from a well located at the Parque dos Gaviões Gas field, Parnaíba Basin, NE Brazil. Here, we propose to perform tests in the well 3-PGN-5-MA from three different acquisition times in order to evaluate the accuracy of measurements by comparing and calibrating with the total gamma ray curve acquired directly in the open hole. If we succeed with these measurements, an important working tool opens up, since it will be possible to have the spectral measurement of the natural radiation based on cutting samples, representing optimization especially in the initial phases of drilling, where logging is not performed in some cases, as well as promoting subsidies for paleoenvironmental discussions.
目前的工作包括测量位于巴西东北部Parnaíba盆地Parque dos Gaviões气田的一口井的切割样品的总伽马辐射和光谱伽马辐射。在这里,我们建议在3-PGN-5-MA井中进行三次不同采集时间的测试,通过与直接在裸眼井中获得的总伽马射线曲线进行比较和校准,以评估测量的准确性。如果我们成功地进行了这些测量,一个重要的工作工具就打开了,因为它将有可能基于切割样本进行自然辐射的光谱测量,这代表了优化,特别是在钻探的初始阶段,在某些情况下不进行测井,同时也促进了对古环境讨论的补贴。
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引用次数: 0
Predicting, sampling, or optimizing the spatial distribution of petrophysical properties from seismic data 从地震资料中预测、取样或优化岩石物理性质的空间分布
D. Grana
{"title":"Predicting, sampling, or optimizing the spatial distribution of petrophysical properties from seismic data","authors":"D. Grana","doi":"10.22564/16cisbgf2019.105","DOIUrl":"https://doi.org/10.22564/16cisbgf2019.105","url":null,"abstract":"","PeriodicalId":332941,"journal":{"name":"Proceedings of the 16th International Congress of the Brazilian Geophysical Society&Expogef","volume":"27 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":"116535650","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
Near-field measurements versus far-field estimations of air gun array sound pressure levels and sound exposure levels for blended source acquisition 混合声源采集中气枪阵列声压级和声暴露级的近场测量与远场估计
P. Fontana, M. Rocke
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引用次数: 1
Evaluation of fine-grains in pre-salt reservoirs 盐下储层细颗粒评价
T. M. Castro, W. Lupinacci
Pre-salt carbonates of the Santos Basin represent many challenges in the characterization of their reservoirs. This paper proposes the reservoir characterization of the Barra Velha and Itapema Formations based on the analysis of geophysical well logs, highlighting the influence of fine-grains presence. In the analyzed well, the results show that the Itapema and Barra Velha Formations are the exploratory targets in the Buzios Field. The Itapema Fm is less influenced by the occurrence of fine-grains, and presents better permo-porous characteristics than in the Barra Velha Fm. The presence of fine-grains causes a great negative impact on the Barra Velha Fm reservoir, affecting substantially the response of the well logs and compromising the reservoir quality. Due to this behavior, we propose the Barra Velha Fm sag phase division into Lower Sag and Upper Sag. This division is grounded at the end of fine-grain deposition. In its turn, the intra-Alagoas unconformity which separates the Upper Rift phase from the Sag phase, in the well logs, was correlated with the beginning of fine-grains deposition.
桑托斯盆地盐下碳酸盐岩储层的表征面临许多挑战。在地球物理测井分析的基础上,提出了Barra Velha组和Itapema组储层特征,强调了细颗粒的存在对储层的影响。分析井结果表明,Itapema组和Barra Velha组是Buzios油田的勘探目标。Itapema组受细颗粒产状的影响较小,其孔隙特征优于Barra Velha组。细颗粒的存在对Barra Velha Fm储层产生了很大的负面影响,严重影响了测井曲线的响应,影响了储层的质量。有鉴于此,我们提出Barra Velha Fm凹陷相划分为下凹陷和上凹陷。这种划分是基于细颗粒沉积的末端。测井资料显示,将上裂谷期与凹陷期分开的阿拉戈斯内部不整合与细颗粒沉积的开始有关。
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引用次数: 6
Preconditioned Reflection Full Waveform Inversion for Subsalt Modeling Building 盐下模拟建筑物的预条件反射全波形反演
Chao Wang, P. Farmer, David Yngist, J. Brittan, I. Jones, C. Calderón
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引用次数: 0
Aplicação de técnicas de processamento de dados GPR para delimitação de infiltração de água em vazamento de tubulação em via urbana 探地雷达数据处理技术在界定城市道路漏水管道渗水中的应用
M. taniyama, João Andrade dos Reis Júnior, G. Duarte, D. Miranda
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引用次数: 0
The Influence of Deconvolution on Surface-Related Multiple Elimination Filtering 反褶积对表面相关多重消除滤波的影响
L. Vergne, M. Porsani
Using the methods of deconvolution it was possible to reach the objective of delimiting the reflections obtained by the seismogram, improving the temporal resolution. The following deconvolutions were used: Wiener deconvolution (spike), adaptive deconvolution, and Lp norm deconvolution. Among the deconvolutions used, it was established which one showed the best result after application of the SRME filtering method in the seismic flow, where the effects of the surface multiple should be smoothed in the marine data of the Jequitinhonha Basin, making it possible to obtain a better seismic section closer to the subsurface geological reality of the study area.
利用反褶积方法,可以达到对地震记录反射波进行定界的目的,提高了地震记录的时间分辨率。使用了以下反卷积:维纳反卷积(尖峰)、自适应反卷积和Lp范数反卷积。在使用的反卷积中,确定了SRME滤波方法在地震流中应用后哪一种反卷积效果最好,其中在Jequitinhonha盆地的海洋资料中需要对地表多次的影响进行平滑处理,从而获得更接近研究区地下地质实际的更好的地震剖面。
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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
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Proceedings of the 16th International Congress of the Brazilian Geophysical Society&Expogef
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