• Title/Summary/Keyword: Stanford University

Search Result 286, Processing Time 0.026 seconds

Computational rock physics: Lattice-Boltzmann fluid flow simulation in porous media and its applications

  • Keehm, Young-Seuk;Mukerji, Tapan;Nur, Amos
    • 한국지구물리탐사학회:학술대회논문집
    • /
    • 2003.11a
    • /
    • pp.661-668
    • /
    • 2003
  • This paper presents Lattice-Boltzmann simulation techniques for single-phase and two-phase fluid flow in porous media. Numerical experiments were performed in a digital rock sample from X-ray microtomography. Computed results showed very good agreement with laboratory measurements of permeability and relative permeability. Two applications using these simulation techniques show the potential of the Lattice-Boltzmann flow simulation to solve many difficult problems coupled with fluid flow in porous media.

  • PDF

Global Genetic Analysis

  • Elahi, Elahe;Kumm, Jochen;Ronaghi, Mostafa
    • BMB Reports
    • /
    • v.37 no.1
    • /
    • pp.11-27
    • /
    • 2004
  • The introduction of molecular markers in genetic analysis has revolutionized medicine. These molecular markers are genetic variations associated with a predisposition to common diseases and individual variations in drug responses. Identification and genotyping a vast number of genetic polymorphisms in large populations are increasingly important for disease gene identification, pharmacogenetics and population-based studies. Among variations being analyzed, single nucleotide polymorphisms seem to be most useful in large-scale genetic analysis. This review discusses approaches for genetic analysis, use of different markers, and emerging technologies for large-scale genetic analysis where millions of genotyping need to be performed.

염화에텐의 환원성 탈염소화 모텔을 이용한 수소 경쟁에 대한 평가

  • ;;Y. Yang;P. L. McCarty
    • Proceedings of the Korean Society of Soil and Groundwater Environment Conference
    • /
    • 2002.09a
    • /
    • pp.117-121
    • /
    • 2002
  • A numerical model that describes the reductive dechlorination of tetrachloroethene(PCE) to ethene via cis-dichloroethene(CDCE) was developed. The model included two separated dehalogenator groups : one for PCE transformation to cDCE via TCE and the other for cDCE dehalogenation to ethene via VC, competitive inhibition between different chloroethene electron accepters, and competition for H$_2$ between dechlorination and methanogens. Model simulations suggest first, that PCE dechlorinators are better competitive with methanogens than cDCE dechlorinators. Second, not only the initial relative population size of dehalogenators and H$_2$-utilizing methanogens but also electron donor delivery strategies used greatly affects the degree of dehalogenation. As a result, all of factors in the above must be considered in order to achieve economical and successful bioremediation of contaminated soil and groundwater with chlorinated solvents.

  • PDF