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EAGE-GSM 2nd Asia Pacific Meeting on Near Surface Geoscience and Engineering最新文献

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Engineering Geological Assessment of the Mangapoike Landslide, Gisborne NZ and Evidence for Fluid Overpressurisation 新西兰吉斯本Mangapoike滑坡的工程地质评价及流体过压证据
Pub Date : 2019-04-24 DOI: 10.3997/2214-4609.201900435
S. McGovern, M. Brook, M. Cave
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引用次数: 0
Integration of geoelectrical and seismic refraction data by means of fuzzy clustering for landslide investigation 用模糊聚类方法整合地电和地震折射数据用于滑坡调查
Pub Date : 2019-04-24 DOI: 10.3997/2214-4609.201900373
D. T. Kieu, N. Pham, H. Lai
Summary Seismic and geoelectrical methods are powerful tools to investigate the landslides. The effectiveness of the investigation will significantly increase if we can exploit the strength of each method and complement its information into the combination model. The question is how we can put the models together. In this work, we utilize the advancement of fuzzy clustering technique to integrate seismic refraction and geoelectrical datasets in a co-operative inversion process. The fundamental idea to use fuzzy clustering is to build a model that resembles geology, particular rock units. We apply our method to a dataset acquired at Doi Ong Tuong, Hoa Binh province, Vietnam. The dataset includes refraction seismic and direct current data for landslide investigation. Seismic refraction is good at defining a structure to assist geoelectrical inversion. In turn, the geoelectrical method is sensitive to low resistivity media that usually relates to weakened zones, but is not good at structure definition. Our results are consistent with the borehole information. Applying fuzzy clustering again to the models of velocity and resistivity, we can create a clustering map that is more interpretable than using directly the inverted models.
地震和地电方法是研究滑坡的有力工具。如果我们能够利用每种方法的优势,并将其信息补充到组合模型中,调查的有效性将大大提高。问题是我们如何把这些模型组合在一起。在这项工作中,我们利用模糊聚类技术的进步,在协同反演过程中整合地震折射和地电数据集。使用模糊聚类的基本思想是建立一个类似地质学的模型,特定的岩石单元。我们将我们的方法应用于在越南和平省Doi Ong Tuong获得的数据集。该数据集包括用于滑坡调查的折射地震和直流数据。地震折射有利于构造的确定,有助于地电反演。反过来,地电方法对通常与弱带有关的低电阻率介质敏感,但在构造定义方面不太好。结果与钻孔资料吻合较好。将模糊聚类再次应用于速度和电阻率模型,我们可以创建一个比直接使用反演模型更具解释性的聚类图。
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引用次数: 2
New wide-band EM system ARMT-5: case study - CSAMT survey at potassium deposit in frequency band 10Hz - 100 kHz 新型宽带电磁系统ARMT-5:以10Hz - 100khz钾矿床CSAMT测量为例
Pub Date : 2019-04-24 DOI: 10.3997/2214-4609.201900384
A. Simakov, A. Shlykov, V. Ignatev
Summary The new wide-band EM system ARMT-5 described in the abstract combines features of AMT and RMT devices. It is designed for implementation of a variety of electric survey methods: AMT, CSAMT, CSEM, RMT and CSRMT. Its wide frequency range (0.1 Hz – 1 MHz) enables the applying of this tool for the exploration of depths from first meters up to several kilometers for a broad spectrum of targets. CSAMT survey with this equipment has been successfully applied at the potassium deposit for recovering the geological structure at the depth of 300 meters. Measurements have been done in frequency band 10 Hz - 100 kHz.
摘要描述的新型宽带电磁系统ARMT-5结合了AMT和RMT器件的特点。它是为实现多种电气测量方法而设计的:AMT, CSAMT, CSEM, RMT和CSRMT。它的宽频率范围(0.1 Hz - 1 MHz)使该工具能够应用于从1米到几公里的深度勘探,以实现广泛的目标。该设备已成功应用于某钾矿床300米深度地质构造的CSAMT测量。在10hz - 100khz频段进行了测量。
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引用次数: 0
Developing Geological Model From Electrical Resistivity (ERT) Survey Data for Construction Purposes: Case Studies 从电阻率(ERT)测量数据发展地质模型用于建设目的:案例研究
Pub Date : 2019-04-24 DOI: 10.3997/2214-4609.201900418
F. Dali, A. Jaapar, A. F. Rahim, Muchamad Aripin, Z. Mohamad
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引用次数: 0
Characterization of the hot spring aquifers at Sungai Klah using potential fields geophysical methods 利用势场地球物理方法表征双溪克拉温泉含水层
Pub Date : 2019-04-24 DOI: 10.3997/2214-4609.201900390
H. Arifin, M. Nawawi, A. Khalil, H. Baioumy, J. Kayode
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引用次数: 1
Estimation of Tectonic Fault Systems of Mongolian Territory Using Geomagnetic Anomaly Data 利用地磁异常资料估算蒙古地区构造断裂系统
Pub Date : 2019-04-24 DOI: 10.3997/2214-4609.201900444
D. Badarch, B. Tsermaa
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引用次数: 2
High-Resolution Seismic Tomographic Imaging: A Case Study from Kuala Lumpur, Malaysia 高分辨率地震层析成像:来自马来西亚吉隆坡的案例研究
Pub Date : 2019-04-24 DOI: 10.3997/2214-4609.201900428
T. Fechner, J. K. von Ketelhodt, M. Manzi, R. Durrheim, A. Devendran
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引用次数: 0
Groundwater identification using VES With Regressive-Regressive PSO Inversion in Pacitan Region, Indonesia 基于回归-回归PSO反演的印尼太平洋地区VES地下水识别
Pub Date : 2019-04-24 DOI: 10.3997/2214-4609.201900424
B. Ramadhany, S. Sungkono, A. Rahmawati
Summary Pacitan Region are located in Alluvium formation that has a good potential in groundwater but has a side effect of high liquefaction when shacked by an earthquake. The experiment’s purpose is to map the distribution of aquifer zone in the designated area and in shallow surface below 30 meter underground. One of geophysics method that can be used in this experiment is Vertical Electrical Sounding (VES) with Schlumberger configuration. This measurement has been done in several points in Pacitan region. Once the data has been gathered, an algorithm method called Regressive-Regressive Particle Swarm Optimization is used to obtain the apparent resistivity that can be used for interpretation purpose, according to the integration of inversion result and local geology, the area is dominated by the sand, gravel and the clay and the free aquifer zone is located in 1 through 4 meter deep and pressurized aquifer zone is located between 4 to 9 meter below the surface and the aquifer layer thickness is ranged between 2 to 25 meter.
太平洋地区位于冲积层地层,具有良好的地下水潜力,但在地震冲击下具有高度液化的副作用。本实验的目的是绘制指定区域及地下30米以下浅层含水层的分布图。该实验可采用的地球物理方法之一是斯伦贝谢配置的垂直电测深(VES)。这一测量已在太平洋地区的几个点进行。数据采集完成后,采用回归-回归粒子群优化算法获取视电阻率进行解释,结合反演结果和局部地质情况,该区域以砂层为主;砾石、粘土和自由含水层位于地下1 ~ 4 m,承压含水层位于地下4 ~ 9 m,含水层厚度在2 ~ 25 m之间。
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引用次数: 1
Multi-channel GPR surveys for the detection of archaeological remains: A case study from Öland, Sweden 用于考古遗迹探测的多通道探地雷达调查:来自Öland,瑞典的案例研究
Pub Date : 2019-04-24 DOI: 10.3997/2214-4609.201900393
A. Viberg, J. Adcock, M. Langton
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引用次数: 0
Seismic Hazard Zonation using Probabilistic Method in Sukabumi, Indonesia 基于概率方法的印尼苏卡umi地震危险性区划
Pub Date : 2019-04-24 DOI: 10.3997/2214-4609.201900412
N. Latuconsina, B. Sunardi, S. Sulastri
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引用次数: 0
期刊
EAGE-GSM 2nd Asia Pacific Meeting on Near Surface Geoscience and Engineering
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