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Estimation of shear wave velocity based on adaptive step size algorithm 基于自适应步长算法的剪切波速度估算
Pub Date : 2023-12-14 DOI: 10.1190/image2023-3904569.1
Yi-qing Gu, Jiajia Zhang
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引用次数: 0
Prestack and poststack seismic amplitude interpretation to support unveiling oil potential of a highly stratigraphic reservoir 叠前和叠后地震振幅解释,支持揭示高地层储层的石油潜力
Pub Date : 2023-12-14 DOI: 10.1190/image2023-3916941.1
S. Mata García, A. Carrillat, W. Torres, P. Cisneros, V. Lucas, P. Bermeo, P. Gonzalez, J. Rodas, C. Miller, P. Zamora, K. Luzuriaga, J. Garrido
{"title":"Prestack and poststack seismic amplitude interpretation to support unveiling oil potential of a highly stratigraphic reservoir","authors":"S. Mata García, A. Carrillat, W. Torres, P. Cisneros, V. Lucas, P. Bermeo, P. Gonzalez, J. Rodas, C. Miller, P. Zamora, K. Luzuriaga, J. Garrido","doi":"10.1190/image2023-3916941.1","DOIUrl":"https://doi.org/10.1190/image2023-3916941.1","url":null,"abstract":"","PeriodicalId":508373,"journal":{"name":"Third International Meeting for Applied Geoscience & Energy Expanded Abstracts","volume":"53 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139180437","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
Hydraulic fracture aperture estimation using low frequency DAS and DSS in Austin Chalk and Eagle Ford Shale 在奥斯汀白垩系和鹰滩页岩中使用低频 DAS 和 DSS 估算水力压裂孔径
Pub Date : 2023-12-14 DOI: 10.1190/image2023-3906411.1
Xiaoyu Zhu, Jonathan Ajo-Franklin, Julia Correa, Yuanyuan Ma, Jaewon Saw, Linqing Luo, Kenichi Soga
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引用次数: 0
Migration of dolomite fines (dolo-trash) in Clear Fork reservoir, Goldsmith field, Permian Basin 二叠纪盆地戈德史密斯油田 Clear Fork 储层中白云岩碎屑(白云碎屑)的迁移
Pub Date : 2023-12-14 DOI: 10.1190/image2023-3905150.1
Robert F. Lindsay
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引用次数: 0
A noninvasive approach for quantitative evaluation of geological deformations and dynamic disasters in complex mining environments 对复杂采矿环境中的地质变形和动态灾害进行定量评估的非侵入式方法
Pub Date : 2023-12-14 DOI: 10.1190/image2023-3909697.1
Majid Khan, Xueqiu He, Da-zhao Song
Summary The escalating demand for deep underground energy sources, driven by the depletion of shallow resources, has raised concerns about the occurrence of dynamic disasters, which pose significant societal risks. In the context of engineering excavation processes, the presence of pre-existing and excavation-induced fractures significantly influences the evolution of complex geological disasters associated with mining activities. Traditional approaches to disaster prediction rely heavily on physical models and numerical simulations. However, these methods often suffer from limitations such as time-consuming and uneconomical drilling tests, as well as restricted coverage. To overcome these challenges, this study introduces a novel methodology that enables comprehensive imaging of the geological response, deformation patterns, and dynamic disaster prediction within the entire minefield of underground engineering works with a special emphasis on steeply inclined and extremely thick coal seams (SIETCS).
摘要 在浅层资源枯竭的推动下,对地下深层能源的需求不断攀升,这引发了人们对动态灾害发生的担忧,而动态灾害会带来巨大的社会风险。在工程挖掘过程中,原有裂缝和挖掘诱发裂缝的存在极大地影响着与采矿活动相关的复杂地质灾害的演变。传统的灾害预测方法在很大程度上依赖于物理模型和数值模拟。然而,这些方法往往存在局限性,如钻探试验耗时且不经济,以及覆盖范围有限。为了克服这些挑战,本研究引入了一种新方法,可对地下工程的整个采空区进行地质响应、变形模式和动态灾害预测的全面成像,尤其侧重于陡斜和极厚煤层(SIETCS)。
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引用次数: 0
Elastic dispersion in shale: Laboratory tests and rock physics modeling 页岩中的弹性弥散:实验室测试和岩石物理模型
Pub Date : 2023-12-14 DOI: 10.1190/image2023-3910450.1
R. Holt, A. Bakk, E. Fjær, S. Lozovyi, Kim Sarah Mews
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引用次数: 0
Counterfactual uncertainty for high dimensional tabular dataset 高维表格数据集的反事实不确定性
Pub Date : 2023-12-14 DOI: 10.1190/image2023-3916797.1
Prithwijit Chowdhury, Ahmad Mustafa, M. Prabhushankar, Ghassan Alregib
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引用次数: 0
Structural and time-lapse imaging through gas clouds via FWI at Eldfisk field, North Sea 通过 FWI 对北海埃尔德菲斯克气田的气体云进行结构和延时成像
Pub Date : 2023-12-14 DOI: 10.1190/image2023-3908286.1
Zhengxue Li, Leila Bencherif-Soerensen, Per Gunnar Folstad, Brian Macy, Simon Shaw, Baishali Roy
SUMMARY In this study, we address the persistent challenges of structural and time-lapse imaging within the Seismically Obscured Areas (SOAs) at Eldfisk field, North Sea. Despite numerous seismic programs, imaging efforts within SOAs at structures A and B continue to be hindered, primarily due to the presence of expansive, complex gas clouds in the overburden. To address this, we apply Full-Waveform Inversion (FWI) to 3D and 4D Ocean Bottom Node (OBN) data, aiming to enhance both structural and time-lapse imaging in these areas. Starting with a legacy velocity model, FWI is used as the main tool for model building, capturing detailed velocity changes associated with gas clouds. The refined model is then input into a Q (the quality factor)-compensated Reverse-Time Migration (Q-RTM) pseudo-gather-based imaging flow to generate significantly improved structural images in the SOAs. Additionally, our application of 4D FWI successfully uncovers time-lapse velocity changes that align with the injection and production history within the SOAs, which were not observed by traditional seismic-based 4D methods that require a good image.
摘要 在本研究中,我们探讨了在北海埃尔德菲斯克油田地震遮挡区(SOAs)内进行构造和延时成像所面临的长期挑战。尽管开展了大量地震项目,但结构 A 和结构 B 的地震遮挡区内的成像工作仍然受阻,主要原因是覆盖层中存在膨胀、复杂的气云。为解决这一问题,我们将全波形反演(FWI)应用于三维和四维海底节点(OBN)数据,旨在增强这些区域的构造和延时成像。从传统的速度模型开始,FWI 被用作建立模型的主要工具,捕捉与气体云相关的详细速度变化。然后将改进后的模型输入到基于 Q(质量因子)补偿的反向时间迁移(Q-RTM)伪采集成像流中,以生成明显改善的 SOA 结构图像。此外,我们应用 4D FWI 成功地发现了与 SOAs 内注入和生产历史相一致的延时速度变化,而传统的基于地震的 4D 方法需要良好的图像才能观测到这些变化。
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引用次数: 0
Time-domain extended-source full-waveform inversion for acoustic vertically transversely isotropic media: Theory and numerical validation 声学垂直横向各向同性介质的时域扩展源全波形反演:理论和数值验证
Pub Date : 2023-12-14 DOI: 10.1190/image2023-3905813.1
G. Guo, S. Operto, H. Aghamiry
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引用次数: 0
SV/SH or S1/S2 separation for 3D6C data with direct S-wave vibrator exciting once SV/SH 或 S1/S2 分离,用于 3D6C 数据,S 波振动器直接激励一次
Pub Date : 2023-12-14 DOI: 10.1190/image2023-3907693.1
Yuan Yuan Yue, Zhiwen Deng, Wenbo Zhang, Hequn Li, Jianlei Zhang, Lina Huo
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引用次数: 0
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Third International Meeting for Applied Geoscience & Energy Expanded Abstracts
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