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RISS 인기검색어
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- 저자 : ( Andreas Weller ) (검색결과 4 건)
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Permeability Prediction Based on Geoelectrical Parameters
( Andreas Weller ) 대한지질공학회 2019 대한지질공학회 학술발표회논문집 Vol.2019 No.2
Many attempts have been made to correlate electrical and hydraulic conductivity because electrical current and fluids flow in a similar way through the pore space. The electrical conductivity is mainly controlled by the porosity whereas the fluid flow additionally depends on the pore size. Porosity and pore size are independent parameters that cannot be separated from a conventional resistivity measurement that provides only the resistivity amplitude at a single frequency. The induced polarization (IP) method, which is an extension of the conventional resistivity survey, investigates the low frequency dispersion of electrical conductivity that originates from capacity-like behavior of porous material. Charge polarization occurs in the electrical double layer that forms at the boundary between solid minerals and the pore filling fluid. IP parameters like the normalized chargeability or the imaginary part of electrical conductivity depend on the specific surface area per unit pore volume, which is inversely proportional to the pore size. An IP measurement enables the separation of volume conduction, which is related to porosity, and surface conduction that is controlled by the pore size. Various IP models for permeability prediction have been proposed and tested using comprehensive sets of samples. In the case of the sandstone samples, the electric formation factor exerts the primary control on permeability, and the imaginary conductivity was found to be of less importance. The opposite was observed for the unconsolidated samples, in which the imaginary conductivity was the most important term for permeability prediction. This study was supported by "The SEM projects; 2018002440005".
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김빛나래,조아현,Andreas Weller,남명진 한국지하수토양환경학회 2020 지하수토양환경 Vol.25 No.특별호
Permeability-analyzing methods commonly involve small-scale drilling, such as pumping or slug test, but it is difficult toidentify overall distribution of permeability of the entire target sites due to high cost and time requirement. Spectralinduced polarization (SIP) method is known to be capable of providing distributions of both the porosity and the pore size,the two major parameters determining permeability of the porous medium. The relationship between SIP variables andpermeability has been studied to identify the hydrological characteristics of target sites. Kozeny-Carman formula has beenimproved through many experiments to better predict fluid permeability with electrical properties. In this work, thepermeability prediction techniques based on SIP data were presented in accordance with the hydrogeological and electricalcharacteristics of a porous medium. Following the summary of the techniques, various models and related laboratoryexperiments were analyzed and examined. In addition, the field applicability of the prediction model was evaluated byfield case analysis.
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Deliberately Unequal Gene Sampling, A Design of Molecular Studies Tested in Lepidoptera
Soowon Cho,Andreas Zwick,Jerome Regier,Charles Mitter,Michael Cummings,Jianxiu Yao,Zaile Du,Hong Zhao,Akito Kawahara,Susan Weller,Donald Davis,Joaquin Baixeras,John Brown,Cynthia Parr 한국응용곤충학회 2010 한국응용곤충학회 학술대회논문집 Vol.2010 No.05
Seeking to improve the weak resolution of deeper divergences in an initial study based on five nuclear genes (6.6kb total) in 123 exemplars, we nearly tripled the total sequence (to 26 genes, 18.4 kb total) in one third (41) of the taxa. The expanded, deliberately incomplete data matrix consistently increased bootstrap support for previously-identified groupings, while introducing no contradictory groupings of the kind that missing data have been predicted to produce. To test the relative effectiveness of “more genes” versus “more taxa” sind that we compared two largely complete matrices, the initial 5 gene × 123 taxon and the 26 gene × 41 taxon data sets, that contain roughly equal amounts of sequence. The “more genes” data set yielded consistently, sometimes dramatically higher bootstrap support that is generally not attributable to taxon number alone. We also found that a gene-rich taxon subset provides reassuring evidence of strong underlying signal that is not obvious in subsequent larger analyses, helping to encourage and guide the search for deep relationships amid the noise of expanded taxon sampling.
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김빛나래,조아현,남명진,Kim, Bitnarae,Cho, AHyun,Weller, Andreas,Nam, Myung Jin 한국지하수토양환경학회 2020 지하수토양환경 Vol.25 No.2
Permeability-analyzing methods commonly involve small-scale drilling, such as pumping or slug test, but it is difficult to identify overall distribution of permeability of the entire target sites due to high cost and time requirement. Spectral induced polarization (SIP) method is known to be capable of providing distributions of both the porosity and the pore size, the two major parameters determining permeability of the porous medium. The relationship between SIP variables and permeability has been studied to identify the hydrological characteristics of target sites. Kozeny-Carman formula has been improved through many experiments to better predict fluid permeability with electrical properties. In this work, the permeability prediction techniques based on SIP data were presented in accordance with the hydrogeological and electrical characteristics of a porous medium. Following the summary of the techniques, various models and related laboratory experiments were analyzed and examined. In addition, the field applicability of the prediction model was evaluated by field case analysis.
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