Acoustic emission source location method and experimental verification for structures containing unknown empty areas

Dong, Longjun; Tao, Qing Lin; Hu, Qingchun; Deng, Sijia; Chen, Yongchao; Luo, Qiaomu; Xi-hong, Zhang

doi:10.1016/j.ijmst.2022.01.002

Cited by 39 publications

(16 citation statements)

References 36 publications

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“…The plane-profile correspondence analysis shows that the sand structure of the vertical superimposed model in the study area is mainly distributed in the middle part of the superposition of the two rivers on the plane, and the sand structure of the lateral superimposed model is mainly distributed in the boundary where the two single channels are superimposed in the plane (corresponding to 60-03 and 6-04 single wells in Figure 8). According to the sand structure mode combined with the production data of the profile wells, including perforation position, initial production, current production data, closed coring wells, and logging interpretation of water flooded layer, and under the guidance of predecessors research conclusions on numerical simulation of meandering river reservoir based on reservoir architectural characterization [62], "the lateral accretion shale beds controls the remaining oil distribution inside the point bar, and the remaining oil is mainly enriched in the upper part of the point bar", the relationship between the seepage compartment and the remaining oil distribution inside the reservoir in the study area is analyzed, and the possible remaining oil distribution patterns of the Y9 2-1 layer are summarized regarding the development factors such as the injection and extraction direction [63][64][65][66][67][68][69][70][71][72].…”

Section: Analogy Analysis Of the Distribution Pattern Of Thementioning

confidence: 99%

Reservoir Structure and Remaining Oil Distribution of Meandering River Channels: A Case Study of the Y92-1 Layer in the Jingbian Oilfield, Ordos Basin

et al. 2022

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The majority of the Jurassic Yan’an Formation reservoirs in the Jingbian Oilfield of the Ordos Basin have entered the middle and late stages of development, and fine characterization of reservoir heterogeneity and recognition of the remaining oil distribution are the keys to formulating comprehensive adjustment for production. The Y92-1 layer of the Yan’an Formation Y9 reservoir in the LZ area of Jingbian Oilfield is taken as the research object in this paper. Based on logging data, core, and other basic data, the reservoir morphology in the study area is finely characterized. Single-channel units are subdivided, and the reservoir configurations of different hierarchical levels are analyzed qualitatively and quantitatively. Finally, combined with the plane profile consistency analysis of the morphological characteristics of the sand body in layer Y92-1 and the injection production mode, it is concluded that there may be four distribution patterns of the remaining oil in the study area, and the composite river channel sand body dominated by the lateral superimposed mode under the inverse lateral accretion shale bed tendency injection condition is a favorable enrichment area for the remaining oil. This mode is mainly distributed in the boundary part of the different periods of single sand body superposition. These understandings not only deepen the significance of tapping the potential of the remaining oil in frequently rerouted meandering rivers but also could provide effective guidance for the further remaining oil tapping.

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Section: Analogy Analysis Of the Distribution Pattern Of Thementioning

confidence: 99%

Reservoir Structure and Remaining Oil Distribution of Meandering River Channels: A Case Study of the Y92-1 Layer in the Jingbian Oilfield, Ordos Basin

et al. 2022

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“…As Equation (1) only considers the influence of excavation H on unloading depth, when it is compared with the formula deduced in the present work, the excavation width is set as a = 30 m and the friction angle of soil body is set as 35 °, according to the typical excavation cross section of Aixihu Tunnel. Based on the whole set of HSS soil body parameters for the soft soil in Shanghai recommender in Reference [23], one model in the literature is established to analyze the influence depth of excavation unloading [24][25][26][27][28][29][30][31][32][33][34][35][36][37].…”

Section: Comparison Of the Unloading Influence Depth In Soilmentioning

confidence: 99%

Study on the Influence of Excavation Unloading on Pile Depth in Sandy Soil

Zhanjun¹,

Zeng

Ding

et al. 2022

Geofluids

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With the development of urban construction, uplift pile has been widely used in underground structure bearing buoyancy. The pile is buried deep underground, and the foundation pit is excavated on the pile foundation, the stress redistribution of the soil after the foundation pit excavation will reduce the lateral stress of the pile at the bottom of the pit, resulting in the reduction of friction resistance, but this effect is limited to a certain depth at the bottom of the foundation pit. Referring to the unloading influence depth corresponding to the vertical unloading coefficient in the spring back calculation of foundation pit and introducing the unloading influence depth corresponding to the horizontal unloading coefficient, it is deduced that the relationship between the horizontal unloading coefficient and the vertical unloading coefficient is based on the friction angle. Based on the bearing capacity control and numerical simulation, it is determined that the corresponding depth when the horizontal unloading coefficient is 0.95 is the unloading influence depth. The depth to width ratio of excavation has a great influence on unloading influence depth, and the internal friction angle of soil has little influence on unloading influence depth, while the influences of pile diameter and pile-soil friction coefficient can be ignored. The formula of unloading influence depth is derived in this paper. Comparing the unloading influence depth of sand and soft soil, the unloading influence depth of sand is greater than that of soft soil.

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“…After obtaining the WiFi or acoustic signal, the next step is to characterize it using various sensing techniques. Similar to WiFi sensing, typical applications based on acoustic sensing include daily actions monitoring [73][74][75][76][77][78] , gesture and hand movements recognition [79][80][81][82][83][84][85][86][87] , health caring [88][89][90][91][92] , localization and navigation [93][94][95][96][97][98] and privacy and security [99][100][101][102][103][104][105][106][107][108][109][110][111] . In the following, we will also introduce the basic content of signals and other characterization methods.…”

Section: Introductionmentioning

confidence: 99%

Ubiquitous WiFi and Acoustic Sensing: Principles, Technologies, and Applications

Huang

Wang

Zou

et al. 2023

J. Comput. Sci. Technol.

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With the increasing pervasiveness of mobile devices such as smartphones, smart TVs, and wearables, smart sensing, transforming the physical world into digital information based on various sensing medias, has drawn researchers' great attention. Among different sensing medias, WiFi and acoustic signals stand out due to their ubiquity and zero hardware cost. Based on different basic principles, researchers have proposed different technologies for sensing applications with WiFi and acoustic signals covering human activity recognition, motion tracking, indoor localization, health monitoring, and the like. To enable readers to get a comprehensive understanding of ubiquitous wireless sensing, we conduct a survey of existing work to introduce their underlying principles, proposed technologies, and practical applications. Besides we also discuss some open issues of this research area. Our survey reals that as a promising research direction, WiFi and acoustic sensing technologies can bring about fancy applications, but still have limitations in hardware restriction, robustness, and applicability.

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Acoustic emission source location method and experimental verification for structures containing unknown empty areas

Cited by 39 publications

References 36 publications

Reservoir Structure and Remaining Oil Distribution of Meandering River Channels: A Case Study of the Y92-1 Layer in the Jingbian Oilfield, Ordos Basin

Reservoir Structure and Remaining Oil Distribution of Meandering River Channels: A Case Study of the Y92-1 Layer in the Jingbian Oilfield, Ordos Basin

Study on the Influence of Excavation Unloading on Pile Depth in Sandy Soil

Ubiquitous WiFi and Acoustic Sensing: Principles, Technologies, and Applications

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