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1

Parkinson, W. D. "The global conductivity distribution." Surveys in Geophysics 9, no. 3-4 (1988): 235–43. http://dx.doi.org/10.1007/bf01901624.

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2

Landfeld, A., R. Žitný, M. Houška, K. Kýhos, and P. Novotná. "Residence time distribution during egg yolk pasteurisation." Czech Journal of Food Sciences 20, No. 5 (2011): 193–201. http://dx.doi.org/10.17221/3531-cjfs.

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This work describes the determination of the average residence times during egg yolk – and whole liquid eggs pasteurisation in an industrial pasteurisation equipment (plate pasteuriser + tube holder). For the detection of the impulse the conductivity method was used. Conductivity was then monitored using the bridge method. In the system, the total of 3 probes were placed. To mark the particles of the flowing product, salted yolk with the content of salt of 1.3 or 1.8% was used. In addition, rheological properties of pasteurised yolk were determined at the temperatures of 5, 25, 45, a
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3

Indraratna, Buddhima, Vo Trong Nguyen, and Cholachat Rujikiatkamjorn. "Hydraulic conductivity of saturated granular soils determined using a constriction-based technique." Canadian Geotechnical Journal 49, no. 5 (2012): 607–13. http://dx.doi.org/10.1139/t2012-016.

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This study presents a new semi-empirical approach for predicting the saturated hydraulic conductivity of noncohesive (granular) soils through a constriction size–based technique. For the same particle-size distribution of a granular filter material, there can be many different void distributions depending on the as-compacted density. Therefore, particle-size distribution is not unique in determining the hydraulic conductivity as proposed in numerous earlier studies. In contrast, the constriction-size distribution is unique for a given as-placed density of the material, and therefore it is a be
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4

Leroueil, Serge, Jean-Pierre Le Bihan, Samira Sebaihi, and Viad Alicescu. "Hydraulic conductivity of compacted tills from northern Quebec." Canadian Geotechnical Journal 39, no. 5 (2002): 1039–49. http://dx.doi.org/10.1139/t02-062.

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The hydraulic conductivity of six compacted tills from northern Quebec with different grain-size distributions has been studied in saturated conditions in the laboratory. The results show that compaction conditions play an important role in hydraulic conductivity. When considering the hydraulic conductivities of specimens compacted at degrees of saturation greater than the optimum, there is a good correlation with the content of clay-size particles. This paper provides a good practical tool for evaluating preliminary hydraulic conductivity values of compacted tills from northern Quebec on the
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5

Choi, M. S., W. S. Kim, and Sung-Ik Lee. "Conductivity distribution of resistor-capacitor composites." Physical Review B 49, no. 21 (1994): 15348–51. http://dx.doi.org/10.1103/physrevb.49.15348.

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6

Jankovic, Igor, Aldo Fiori, and Gedeon Dagan. "Effective Conductivity of an Isotropic Heterogeneous Medium of Lognormal Conductivity Distribution." Multiscale Modeling & Simulation 1, no. 1 (2003): 40–56. http://dx.doi.org/10.1137/s1540345902409633.

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7

Suribhatla, R., I. Jankovic, A. Fiori, A. Zarlenga, and G. Dagan. "Effective Conductivity of an Anisotropic Heterogeneous Medium of Random Conductivity Distribution." Multiscale Modeling & Simulation 9, no. 3 (2011): 933–54. http://dx.doi.org/10.1137/100805662.

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8

Niu, Qifei, André Revil, and Milad Saidian. "Salinity dependence of the complex surface conductivity of the Portland sandstone." GEOPHYSICS 81, no. 2 (2016): D125—D140. http://dx.doi.org/10.1190/geo2015-0426.1.

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Induced polarization can be used to estimate surface conductivity by assuming a universal linear relationship between the surface and quadrature conductivities of porous media. However, this assumption has not yet been justified for conditions covering a broad range of fluid conductivities. We have performed complex conductivity measurements on Portland sandstone, an illite- and kaolinite-rich sandstone, at 13 different water salinities (NaCl) over the frequency range of 0.1 Hz to 45 kHz. The conductivity of the pore water [Formula: see text] affected the complex surface conductivity mainly by
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9

Sumi, Chikayoshi, and Jun Kuwabara. "Determination of thermal conductivity distribution from internal temperature distribution measurements." Review of Scientific Instruments 77, no. 6 (2006): 064904. http://dx.doi.org/10.1063/1.2209969.

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10

Bai, Zhifeng, and Mingzhong Li. "Effect of pulse injection on proppant distribution in fracture." Advances in Engineering Technology Research 8, no. 1 (2023): 221. http://dx.doi.org/10.56028/aetr.8.1.221.2023.

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The trend of changes in proppant concentration and fracture conductivity is essentially identical. When combined with an analysis of the average conductivity of effectively propped fractures at different locations, it becomes evident that the proppant distribution pattern becomes uneven after pulse injection. However, this pattern displays a discontinuous distribution law on the macro level. Influenced by the proppant distribution pattern, fracture conductivity exhibits significant variation at different locations. During the conventional injection process, the conductivity of fractures near t
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11

Wang, Zeying, Jiaqing Li, and Yixuan Sun. "Layered Fusion Reconstruction Based on Fuzzy Features for Multi-Conductivity Electrical Impedance Tomography." Sensors 24, no. 11 (2024): 3380. http://dx.doi.org/10.3390/s24113380.

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In medical imaging, detecting tissue anomalies is vital for accurate diagnosis and effective treatment. Electrical impedance tomography (EIT) is a non-invasive technique that monitors the changes in electrical conductivity within tissues in real time. However, the current challenge lies in simply and accurately reconstructing multi-conductivity distributions. This paper introduces a layered fusion framework for EIT to enhance imaging in multi-conductivity scenarios. The method begins with pre-imaging and extracts the main object from the fuzzy image to form one layer. Then, the voltage differe
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12

Wang, Yu Cheng, Zheng Yi Fu, and Qing Jie Zhang. "SPS Temperature Distribution of Different Conductivity Materials." Key Engineering Materials 224-226 (June 2002): 717–20. http://dx.doi.org/10.4028/www.scientific.net/kem.224-226.717.

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13

Yordanova, E. A., and G. A. Stanev. "Analytical description of height-integrated conductivity distribution." Advances in Space Research 30, no. 7 (2002): 1835–39. http://dx.doi.org/10.1016/s0273-1177(02)00459-3.

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14

Neagu and, M., and A. Bejan. "Constructal Placement of High-Conductivity Inserts in a Slab: Optimal Design of “Roughness”." Journal of Heat Transfer 123, no. 6 (2001): 1184–89. http://dx.doi.org/10.1115/1.1392988.

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This paper addresses the fundamental problem of how to facilitate the flow of heat across a conducting slab heated from one side. Available for distribution through the system is a small amount of high-conductivity material. The constructal method consists of optimizing geometrically the distribution of the high-conductivity material through the material of lower conductivity. Two-dimensional distributions (plate inserts) and three-dimensional distributions (pin inserts) are optimized based on the numerical simulation of heat conduction in a large number of possible configurations. Results are
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15

Mesquita, Maria da Glória Bastos de Freitas, Sérgio Oliveira Moraes, and José Eduardo Corrente. "More adequate probability distributions to represent the saturated soil hydraulic conductivity." Scientia Agricola 59, no. 4 (2002): 789–93. http://dx.doi.org/10.1590/s0103-90162002000400025.

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The saturated soil hydraulic conductivity (Ksat) is one of the most relevant variables in studies of water and solute movement in the soil. Its determination in the laboratory and in the field yields high dispersion results, which could be an indication that this variable has a no symmetrical distribution. Adjustment of the normal, lognormal, gamma and beta distributions were examined in order to search for a probability were density function that would more adequately describe the distribution of this variable. The experiment consisted in determining the saturated hydraulic conductivity, thro
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16

Lee, Mun Bae, Geon-Ho Jahng, Hyung Joong Kim, and Oh-In Kwon. "High-frequency conductivity at Larmor-frequency in human brain using moving local window multilayer perceptron neural network." PLOS ONE 16, no. 5 (2021): e0251417. http://dx.doi.org/10.1371/journal.pone.0251417.

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Magnetic resonance electrical properties tomography (MREPT) aims to visualize the internal high-frequency conductivity distribution at Larmor frequency using the B1 transceive phase data. From the magnetic field perturbation by the electrical field associated with the radiofrequency (RF) magnetic field, the high-frequency conductivity and permittivity distributions inside the human brain have been reconstructed based on the Maxwell’s equation. Starting from the Maxwell’s equation, the complex permittivity can be described as a second order elliptic partial differential equation. The establishe
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17

Wu, Cheng Bao, Yu Fen Yang, Sheng Xiao Zhu, Xiao Ling Ren, and Fu Tao Zhao. "Grey Relational Analysis between Particle Size Distribution of Power Storage Porous Ceramsite and Thermal Conductivity of PCM Gypsum Board." Advanced Materials Research 158 (November 2010): 130–39. http://dx.doi.org/10.4028/www.scientific.net/amr.158.130.

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Phase change materials (PCMs) can be incorporated with building materials to obtain novel form-stable composite PCM which has effective energy storage performance in latent heat thermal energy storage (LHTES) systems. In this study, the PCM gypsum boards were prepared by mixing the gypsum with the power storage composite prepared by mixing with the paraffin as latent heat storage material, porous ceramsite skeleton with different particle size distribution (PSD) as adsorption matrix, and sodium alginate as reaction material. The PSD of power storage porous ceramsite were obtained by using digi
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18

Liang, Tiancheng, Jinwei Zhang, Chuanyou Meng, Nailing Xiu, Bo Cai, and Haifeng Fu. "Conductivity prediction of proppant-packs based on particle size distribution under variable stress conditions." E3S Web of Conferences 205 (2020): 03010. http://dx.doi.org/10.1051/e3sconf/202020503010.

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The conductivity of the proppant-packs is critical in the productivity of hydraulically fractured wells. Proppants are also the best medium for studying particle packing. Sand and ceramic media are two most common proppants used for hydraulic fracturing. This study focuses on investigate the relation between conductivity and properties of proppant-packs, the particle-size distribution, porosity and mean particle diameter have been measured. The porosity of the proppant pack under zero pressure is determined from bulk density and apparent density. To accurately measure the porosity under variab
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19

Zhu, Lin, Huili Gong, Zhenxue Dai, Gaoxuan Guo, and Pietro Teatini. "Modeling 3-D permeability distribution in alluvial fans using facies architecture and geophysical acquisitions." Hydrology and Earth System Sciences 21, no. 2 (2017): 721–33. http://dx.doi.org/10.5194/hess-21-721-2017.

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Abstract. Alluvial fans are highly heterogeneous in hydraulic properties due to complex depositional processes, which make it difficult to characterize the spatial distribution of the hydraulic conductivity (K). An original methodology is developed to identify the spatial statistical parameters (mean, variance, correlation range) of the hydraulic conductivity in a three-dimensional (3-D) setting by using geological and geophysical data. More specifically, a large number of inexpensive vertical electric soundings are integrated with a facies model developed from borehole lithologic data to simu
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20

Li, Hong Li, Yang Dong Li, and Deng Xin Li. "Influence of Superficial Gas Velocity on the Dynamic Characteristics Parameters of CFB." Advanced Materials Research 663 (February 2013): 953–57. http://dx.doi.org/10.4028/www.scientific.net/amr.663.953.

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The effects of superficial gas velocity (Ug) on the dynamic characteristics parameters (electrical conductivity, local phase holdup and minimum fluidization velocity (Ugmf)) of CFB were examined by the conductivity probe method. Experimental results show effects of Ug on electrical conductivity, local phase holdups and Ugmf are rather obvious. In radial direction, the further to gas distribution board, with Ug increased bubble distribution was more uniform, radial distribution of electrical conductivity was more uniform. When Ug increases, electrical conductivity increases, distribution of it
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21

Sihn, Sangwook, and Ajit K. Roy. "Micromechanical analysis for transverse thermal conductivity of composites." Journal of Composite Materials 45, no. 11 (2010): 1245–55. http://dx.doi.org/10.1177/0021998310382311.

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Micromechanical analyses were conducted for the prediction of transverse thermal conductivity of laminated composites. We reproduced and reinvestigated both analytic and numerical models with regular and randomly distributed fibers in matrix material. A parametric study was conducted for wide ranges of fiber volume fractions and fiber-to-matrix thermal conductivity ratios. The numerical solutions using finite element (FE) analysis were compared with various analytic solutions from simple and enhanced rule or mixtures and an effective inclusion method (EIM). It was found that the EIM yields a r
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22

Yuan, Dongdong, Wei Jiang, Zheng Tong, Jie Gao, Jingjing Xiao, and Wanli Ye. "Prediction of Electrical Conductivity of Fiber-Reinforced Cement-Based Composites by Deep Neural Networks." Materials 12, no. 23 (2019): 3868. http://dx.doi.org/10.3390/ma12233868.

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This study presents a deep-learning method for characterizing carbon fiber (CF) distribution and predicting electrical conductivity of CF-reinforced cement-based composites (CFRCs) using scanning electron microscopy (SEM) images. First, SEM images were collected from CFRC specimens with different CF contents. Second, a fully convolutional network (FCN) was utilized to extract carbon fiber components from the SEM images. Then, DSEM and Dsample were used to evaluate the distribution of CFs. DSEM and Dsample reflected the real CF distribution in an SEM observation area and a specimen, respectivel
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23

Xu, Zengguang, Xue Wang, Junrui Chai, Yuan Qin, and Yanlong Li. "Simulation of the Spatial Distribution of Hydraulic Conductivity in Porous Media through Different Methods." Mathematical Problems in Engineering 2017 (2017): 1–10. http://dx.doi.org/10.1155/2017/4321918.

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Seepage problems exist in water conservancy projects, groundwater research, and geological research, and hydraulic conductivity is an important factor that affects the seepage field. This study investigates the heterogeneity of hydraulic conductivity. Kriging methods are used to simulate the spatial distribution of hydraulic conductivity, and the application of resistivity and grain size is used to obtain hydraulic conductivity. The results agree with the experimental pumping test results, which prove that the distribution of hydraulic conductivity can be obtained economically and efficiently
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24

Robinson, Judith, Timothy Johnson, and Lee Slater. "Challenges and opportunities for fractured rock imaging using 3D cross-borehole electrical resistivity." GEOPHYSICS 80, no. 2 (2015): E49—E61. http://dx.doi.org/10.1190/geo2014-0138.1.

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There is an increasing need to characterize discrete fractures away from boreholes to better define fracture distributions and monitor solute transport. We performed a 3D evaluation of static and time-lapse cross-borehole electrical resistivity tomography (ERT) data sets from a limestone quarry in which flow and transport are controlled by a bedding-plane feature. Ten boreholes were discretized using an unstructured tetrahedral mesh, and 2D panel measurements were inverted for a 3D distribution of conductivity. We evaluated the benefits of 3D versus 2.5D inversion of ERT data in fractured rock
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25

Sasaki, Gen, Kota Ishikawa, Yong Bum Choi, Kenjiro Sugio, and Kazuhiro Mastugi. "Effect of Dispersibility of TiB2 Particles on Electrical Conductivity in TiB2/Al Composites." Materials Science Forum 783-786 (May 2014): 1573–78. http://dx.doi.org/10.4028/www.scientific.net/msf.783-786.1573.

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20vol% TiB2 particle Al composites were fabricated by spark plasma sintering after blending TiB2 and Al particles. The dispersibility of TiB2 particles in composites was controlled by the blending method before sintering. Then the effect of the dispersibility on the electrical conductivity was estimated. As increasing the dispersibility, the electrical conductivity of the composites decreased. The dispersibility of TiB2 particles in composites was estimated by two-dimensional local number (LN2D), quantitatively. The theoretical value of electrical conductivity considering LN2D was estimated by
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26

Fuentes, William Mario, Carolina Hurtado, and Carlos Lascarro. "On the influence of the spatial distribution of fine content in the hydraulic conductivity of sand-clay mixtures." Earth Sciences Research Journal 22, no. 4 (2018): 239–49. http://dx.doi.org/10.15446/esrj.v22n4.69332.

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Sand-clay mixtures are one of the most usual types of soils in geotechnical engineering. These soils present a hydraulic conductivity which highly depends on the fine content. In this work, it will be shown, that not only the mean fine content of a soil sample affects its hydraulic conductivity, but also its spatial distribution within the sample. For this purpose, a set of hydraulic conductivity tests with sand-clay mixtures have been conducted to propose an empirical relation of the hydraulic conductivity depending on the fine content. Then, a numerical model of a large scaled hydraulic cond
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27

Mao, Zhiqiang, Chieh-Hung Chen, Suqin Zhang, et al. "Locating Seismo-Conductivity Anomaly before the 2017 MW 6.5 Jiuzhaigou Earthquake in China Using Far Magnetic Stations." Remote Sensing 12, no. 11 (2020): 1777. http://dx.doi.org/10.3390/rs12111777.

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Changes in the underlying conductivity around hypocenters are generally considered one of the promising mechanisms of seismo-electromagnetic anomaly generation. Parkinson vectors are indicators of high-conductivity materials and were utilized to remotely monitor conductivity changes during the MW 6.5 Jiuzhaigou earthquake (103.82°E, 33.20°N) on 8 August 2017. Three-component geomagnetic data recorded in 2017 at nine magnetic stations with epicenter distances of 63–770 km were utilized to compute the azimuths of the Parkinson vectors based on the magnetic transfer function. The monitoring and b
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28

Maranets, Theodore, Haoran Cui, and Yan Wang. "Lattice thermal conductivity of embedded nanoparticle composites: the role of particle size distribution." Nanotechnology 35, no. 5 (2023): 055701. http://dx.doi.org/10.1088/1361-6528/ad06d6.

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Abstract Nanoparticles embedded within a crystalline solid serve as impurity phonon scattering centers that reduce lattice thermal conductivity, a desirable result for thermoelectric applications. Most studies of thermal transport in nanoparticle-laden composite materials have assumed the nanoparticles to possess a single size. If there is a distribution of nanoparticle sizes, how is thermal conductivity affected? Moreover, is there a best nanoparticle size distribution to minimize thermal conductivity? In this work, we study the thermal conductivity of nanoparticle-laden composites through a
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29

Dashevskiy, Yuliy A., Nikolay N. Velker, Alexey V. Bondarenko, and Oleg B. Bocharov. "CORRECT DETERMINATION OF INTEGRAL CONDUCTIVITY IN SOLVING INCORRECT INVERSE PROBLEMS OF ELECTROMAGNEIC LOGGING." Interexpo GEO-Siberia 2, no. 2 (2021): 39–47. http://dx.doi.org/10.33764/2618-981x-2021-2-2-39-47.

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The paper suggests and investigates a problem statement of well-logging inverse problem that is based on the integral conductivity parameter to describe a geoelectric section. Approach was introduced for a layered cylindrical model with radially heterogeneous continuous distribution of electric properties that parametrize the problem with a function of total longitudinal conductivity. The results of hydrodynamic modeling for oil/fresh water- and brine-based drilling muds were used to study multiple propagation resistivity tool signal equivalency for two classes of models with continuous and pi
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30

Atekwana, Estella A., D. Dale Werkema, Joseph W. Duris, et al. "In‐situ apparent conductivity measurements and microbial population distribution at a hydrocarbon‐contaminated site." GEOPHYSICS 69, no. 1 (2004): 56–63. http://dx.doi.org/10.1190/1.1649375.

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We investigated the bulk electrical conductivity and microbial population distribution in sediments at a site contaminated with light nonaqueous‐phase liquid (LNAPL). The bulk conductivity was measured using in‐situ vertical resistivity probes; the most probable number method was used to characterize the spatial distribution of aerobic heterotrophic and oil‐degrading microbial populations. The purpose of this study was to assess if high conductivity observed at aged LNAPL‐impacted sites may be related to microbial degradation of LNAPL. The results show higher bulk conductivity coincident with
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31

Murakami, H., X. Chen, M. S. Hahn, et al. "Bayesian approach for three-dimensional aquifer characterization at the hanford 300 area." Hydrology and Earth System Sciences Discussions 7, no. 2 (2010): 2017–52. http://dx.doi.org/10.5194/hessd-7-2017-2010.

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Abstract. This study presents a stochastic, three-dimensional characterization of a heterogeneous hydraulic conductivity field within DOE's Hanford 300 Area site, Washington, by assimilating large-scale, constant-rate injection test data with small-scale, three-dimensional electromagnetic borehole flowmeter (EBF) measurement data. We first inverted the injection test data to estimate the transmissivity field, using zeroth-order temporal moments of pressure buildup curves. We applied a newly developed Bayesian geostatistical inversion framework, the method of anchored distributions (MAD), to ob
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32

Murakami, H., X. Chen, M. S. Hahn, et al. "Bayesian approach for three-dimensional aquifer characterization at the Hanford 300 Area." Hydrology and Earth System Sciences 14, no. 10 (2010): 1989–2001. http://dx.doi.org/10.5194/hess-14-1989-2010.

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Abstract. This study presents a stochastic, three-dimensional characterization of a heterogeneous hydraulic conductivity field within the Hanford 300 Area, Washington, USA, by assimilating large-scale, constant-rate injection test data with small-scale, three-dimensional electromagnetic borehole flowmeter (EBF) measurement data. We first inverted the injection test data to estimate the transmissivity field, using zeroth-order temporal moments of pressure buildup curves. We applied a newly developed Bayesian geostatistical inversion framework, the method of anchored distributions (MAD), to obta
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33

Ganji, Domiri, Ziabkhsh Ganji, and Domiri Ganji. "Determination of temperature distribution for annular fins with temperature dependent thermal conductivity by HPM." Thermal Science 15, suppl. 1 (2011): 111–15. http://dx.doi.org/10.2298/tsci11s1111g.

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In this paper, homotopy perturbation method has been used to evaluate the temperature distribution of annular fin with temperature-dependent thermal conductivity and to determine the temperature distribution within the fin. This method is useful and practical for solving the nonlinear heat transfer equation, which is associated with variable thermal conductivity condition. The homotopy perturbation method provides an approximate analytical solution in the form of an infinite power series. The annular fin heat transfer rate with temperature-dependent thermal conductivity has been obtained as a
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34

Han, Chaofeng, Baozhong Sun, and Bohong Gu. "Electric conductivity and surface potential distributions in carbon fiber reinforced composites with different ply orientations." Textile Research Journal 92, no. 7-8 (2021): 1147–60. http://dx.doi.org/10.1177/00405175211048160.

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The electric conductivity and surface potential distributions of carbon fiber laminated panels with different ply orientations have been investigated. We found that the unidirectional (UD) lamina has higher conductivity along the carbon fiber direction than the perpendicular direction, and equipotential contours also show different gradients along the two directions. The cross-ply (CP) and quasi-isotropic (QI) laminates have the mixed effects of the UD lamina electric conductivity and ply orientations, while the surface potential distributions mostly depend on the surface lamina direction. The
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35

Zhang, Xiao Guang, Ying Jie Ji, Shi Gang Wang, and Xiao Li. "Numerical Simulation of the Effect of Particle Random Spatial Distribution on the Thermal Conductivity of Composites." Key Engineering Materials 561 (July 2013): 130–34. http://dx.doi.org/10.4028/www.scientific.net/kem.561.130.

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The overall thermal properties of particle reinforced composites are of primary importance for practical applications. Effect of random spatial distribution of sphere particles on the thermal conductivity of composites was numerically studied by ANSYS Workbench Steady-State Thermal analysis module. MATLAB procedure is used to achieve random distribution of particles in composites and to generate a representative volume element (RVE) model. The simulation results indicate that, at the same volume fraction, the random distribution has higher thermal conductivity than the uniform distribution; ef
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36

Osinowo, Olawale Olakunle, and Ifeayinchukwu Okechukwu. "Frequency domain electromagnetic and electrical resistivity geophysical investigation of tar sands deposits in the Ijebu Waterside area, Eastern Dahomey Basin, southwestern Nigeria." Geology, Geophysics and Environment 47, no. 4 (2021): 217–26. http://dx.doi.org/10.7494/geol.2021.47.4.217.

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The use of electromagnetic conductivity and electrical resistivity geophysical techniques has been employed in this study to investigate the occurrence, thickness, and spatial distribution of bitumen deposit around Makun-Omi in the Ijebu Waterside area of southwestern Nigeria. Subsurface apparent conductivity distribution data obtained using Geonic 34-3 equipment along fifteen traverses which sounded from different depths of 7.5, 15, 30 and 60 m at inter-coil separation of 10, 20 and 40 m in vertical and horizontal coupling modes and ground resistivity distribution measurements, obtained using
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37

MABUCHI, Shusuke, Seiji HAYANO, Yoshifuru SAITO, and Kiyoshi HORII. "Visualization of Conductivity Distribution by Electrical Impedance Tomography." Journal of the Visualization Society of Japan 22, no. 1Supplement (2002): 85–88. http://dx.doi.org/10.3154/jvs.22.1supplement_85.

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38

de Waal, J. A. "Influence of Clay Distribution on Shaly Sand Conductivity." SPE Formation Evaluation 4, no. 03 (1989): 377–83. http://dx.doi.org/10.2118/16786-pa.

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39

SAITO, Masahiko, and Takeshi KAWATANI. "Theoretical Study on Spatial Distribution of Hydraulic Conductivity." Doboku Gakkai Ronbunshu, no. 645 (2000): 103–14. http://dx.doi.org/10.2208/jscej.2000.645_103.

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40

Cerv, Václav, Svetlana Kováciková, Josef Pek, Jana Pecová, and Oldfich Praus. "Model of Electrical Conductivity Distribution across Central Europe." Journal of geomagnetism and geoelectricity 49, no. 11 (1997): 1585–600. http://dx.doi.org/10.5636/jgg.49.1585.

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41

MASUDA, Kouhei, Yasuhiro NAKAJIMA, Satoshi YOSHINARI, Kazuhiro FUJISAKI, Masahiro TODOH, and Shigeru TADANO. "307 Conductivity Distribution in Musculoskeletal System of Forearm." Proceedings of Conference of Hokkaido Branch 2009.48 (2009): 81–82. http://dx.doi.org/10.1299/jsmehokkaido.2009.48.81.

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42

Hunt, A. G., L. A. Blank, and T. E. Skinner. "Distribution of hydraulic conductivity in single scale anisotropy." Philosophical Magazine 86, no. 16 (2006): 2407–28. http://dx.doi.org/10.1080/14786430600617179.

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43

Li, Yutao, Jian Tao Han, Chang An Wang, et al. "Ionic distribution and conductivity in lithium garnet Li7La3Zr2O12." Journal of Power Sources 209 (July 2012): 278–81. http://dx.doi.org/10.1016/j.jpowsour.2012.02.100.

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44

Nitsovich, V. M., I. V. Pronishin, and S. S. Skab. "Electrical conductivity in substances with space charge distribution." Soviet Physics Journal 31, no. 4 (1988): 324–27. http://dx.doi.org/10.1007/bf00892645.

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Macklen, E. D. "Electrical conductivity and cation distribution in nickel manganite." Journal of Physics and Chemistry of Solids 47, no. 11 (1986): 1073–79. http://dx.doi.org/10.1016/0022-3697(86)90074-0.

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Patil, S. H., S. I. Patil, S. M. Kadam, and B. K. Chougule. "Conductivity and cation distribution in CuxMg1−xFe2O4 system." Czechoslovak Journal of Physics 42, no. 9 (1992): 939–45. http://dx.doi.org/10.1007/bf01605170.

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Chen, Qing Guo, He Qian Liu, Xiang Li Zhuge, Ming He Chi, and Xin Lao Wei. "Analysis of Electric Field Homogenization of Converter Transformer Barrier System Based on Nano Modification of Pressboard." Advanced Materials Research 981 (July 2014): 940–45. http://dx.doi.org/10.4028/www.scientific.net/amr.981.940.

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In order to solve the problem of non-uniform electric field distribution in converter transformer barrier system caused by conductivity difference between the transformer oil and pressboard, the SiC(silicon carbide) modified pressboard was developed by nano doping method. The conductivity of modified pressboard was measured. The measuring results show that the conductivity of modified pressboard increases exponentially with the increase of nano SiC doping ratio. The electric field strength has obvious influence on conductivity at high nano doping ratio, which shows great nonlinear characterist
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Edery, Yaniv, Martin Stolar, Giovanni Porta, and Alberto Guadagnini. "Feedback mechanisms between precipitation and dissolution reactions across randomly heterogeneous conductivity fields." Hydrology and Earth System Sciences 25, no. 11 (2021): 5905–15. http://dx.doi.org/10.5194/hess-25-5905-2021.

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Abstract. Our study investigates interplays between dissolution, precipitation, and transport processes taking place across randomly heterogeneous conductivity domains and the ensuing spatial distribution of preferential pathways. We do so by relying on a collection of computational analyses of reactive transport performed in two-dimensional systems where the (natural) logarithm of conductivity is characterized by various degrees of spatial heterogeneity. Our results document that precipitation and dissolution jointly take place in the system, with the latter mainly occurring along preferentia
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Macnae, James, Xiuyan Ren, and Tim Munday. "Stripping induced polarization effects from airborne electromagnetics to improve 3D conductivity inversion of a narrow palaeovalley." GEOPHYSICS 85, no. 5 (2020): B161—B167. http://dx.doi.org/10.1190/geo2019-0396.1.

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The electrical conductivity distribution within wide palaeochannels is usually well-mapped from airborne electromagnetic data using stitched 1D algorithms. Such stitched 1D solutions are, however, inappropriate for narrow valleys. An alternative option is to consider 2D or 3D models to allow for finite lateral extent of conductors. In airborne electromagnetic data within the Musgrave block near the well-studied Valen conductor, strong induced polarization (IP) and superparamagnetic (SPM) effects make physical property and structure estimation even more uncertain for deep channel clays, particu
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Pilch, Michał Marek, Christian Rodenbücher, Franciszek Krok, and Kristof Szot. "Heterogeneity in La Distribution in Highly La-Doped SrTiO3 Crystals." Crystals 13, no. 11 (2023): 1552. http://dx.doi.org/10.3390/cryst13111552.

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Our paper is focused on the investigation of the dopant distribution in lanthanum-doped strontium titanate (LSTO) single crystals with a 5 wt.% doping level of La. Using X-ray diffraction analysis and pycnometric density measurement, we have found a discrepancy between the theoretical density and the experimentally determined value. The origin of this behavior could be either the creation of the voids in the matrix or the intergrowth of secondary phases with La surplus in the crystal. Transmission electron microscopy (TEM), energy-dispersive X-ray spectroscopy (EDX), and selected area diffract
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