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ASEG Extended Abstracts Volume 2019, 2019 - Issue 1: 2nd Australasian Exploration Geoscience Conference: Data to Discovery
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Articles

Assessing mineral composition and permeability of a shale seal

Roman BeloborodovCSIRO Deep Earth Imaging FSP Australian Resources Research Centre. Kensington, [email protected]
,
Marina PervukhinaCSIRO Energy Australian Resources Research Centre. Kensington, [email protected]
,
Maxim LebedevCurtin University Australian Resources Research Centre. Kensington, [email protected]
&
Juerg HauserCSIRO Minerals Australian Resources Research Centre. Kensington, [email protected]
Pages 1-5 | Published online: 11 Nov 2019

References

  • Beloborodov, R., Pervukhina, M., and Lebedev, M., 2018, Compaction Trends of Full Stiffness Tensor and Fluid Permeability in Artificial Shales. Geophysical Journal International 212, 1687-93.
  • Bjorlykke, K., 2014, Relationships between Depositional Environments, Burial History and Rock Properties. Some Principal Aspects of Diagenetic Process in Sedimentary Basins. Sedimentary Geology 301, 1-14.
  • Dempster, A.P., Laird, N.M., and Rubin, D.B., 1977, Maximum Likelihood from Incomplete Data Via the Em Algorithm. Journal of the royal statistical society. Series B (methodological), 1-38.
  • Mesri, G. and Olson, R.E., 1971, Mechanisms Controlling the Permeability of Clays. Clays and Clay Minerals 19.
  • Rüger, A., 1997, P-Wave Reflection Coefficients for Transversely Isotropic Models with Vertical and Horizontal Axis of Symmetry. Geophysics 62, 713-22.
  • Thomsen, L., 1986, Weak Elastic-Anisotropy. Geophysics 51, 1954-66.
  • Yang, Y.L. and Aplin, A.C., 2010, A Permeability-Porosity Relationship for Mudstones. Marine and Petroleum Geology 27, 1692-97.
  • Zou, H. and Hastie, T., 2005, Regularization and Variable Selection Via the Elastic Net. Journal of the Royal Statistical Society: Series B (Statistical Methodology) 67, 301-20.

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