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0019.870939
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008190402s1999    oncd   #ot   f000 0 eng d
040 |aCaOODSP|beng|erda|cCaOODSP
041 |aeng|bfre
043 |an-cn---
0861 |aEn13-5/99-213E-PDF
1001 |aParks, Kevin Preston,|d1963- |eauthor.
24510|aCapturing more geological realism in stochastic simulations of rock systems with Markov statistics and simulated annealing / |cKevin Parks, Laurence R. Bentley, Allan S. Crowe.
264 1|aBurlington, Ontario : |bNational Water Research Institute, |c1999.
300 |a1 online resource (23, (14) pages) : |bcharts.
336 |atext|btxt|2rdacontent
337 |acomputer|bc|2rdamedia
338 |aonline resource|bcr|2rdacarrier
4901 |aNWRI contribution ; |v99-213
500 |aDigitized edition from print [produced by Environment and Climate Change Canada].
500 |a"Submitted to Journal of Sedimentary Research, Part B."
500 |a"February, 1999."
504 |aIncludes bibliographical references.
520 |a"Simulated annealing can be employed to impose Markovian statistical structures on structured random fields representing rock heterogeneity. By this approach one can transmit more geological realism into stochastic simulations for flow simulators. Markov transition probability matrices are encoded into multi-point histograms objective function and then 2D categorical fields are constructed with simulated annealing. Performance issues that compromise annealing Markovian objective functions include categorical length-scale distributions, relative magnitudes of length scales to grid size and complexity in embedded Markov structures"--Abstract.
546 |aIncludes abstract in French.
69207|2gccst|aGeology
7001 |aBentley, Laurence R., |eauthor.
7001 |aCrowe, Allan, |d1952- |eauthor.
7101 |aCanada. |bEnvironment Canada.
7102 |aNational Water Research Institute (Canada)
830#0|aNWRI contribution ;|v99-213.|w(CaOODSP)9.844121
85640|qPDF|s1.93 MB|uhttps://publications.gc.ca/collections/collection_2019/eccc/en13-5/En13-5-99-213-eng.pdf