Predicting Seal Brittleness of Conventional Hydrocarbon Reservoirs Using LMR - a Case Study from the Norwegian Barents S

References

1. Glørstad-Clark, E., Faleide, J.I., Lundschien, B.A. and Nystuen, J.P.
   [2010]. Triassic seismic sequence stratigraphy and paleogeography of the western Barents Sea area. Marine and Petroleum Geology, 27, 1448–1475.
   [Google Scholar]
2. Grieser, B. and Bray, J.
   [2007]. Identification of production potential in unconventional reservoirs. SPE paper 106623, 6.
   [Google Scholar]
3. NPD, FactPages
   NPD, FactPages [2018]. Norwegian Petroleum Directorate FactPages. Available at: http://factpages.npd.no/factpages/
   [Google Scholar]
4. Perez, A.R., Marfurt, K.
   [2014]. Mineralogy-based brittleness prediction from surface seismic data: application to the Barnett Shale. Interpretation, 2, T255–T271.
   [Google Scholar]
5. Rickman, R., Mullen, M.J., Petre, J.E., Grieser, W.V. and Kundert, D.
   [2008]. A practical use of shale petrophysics for stimulation design optimization: All shale plays are not clones of the Barnett shale. SPE paper# 115258 presented at the SPE Annual Technical Conference and Exhibition, Denver, Colorado, USA, 21–24 September 2008.
   [Google Scholar]
6. Sone, H. and Zoback, M.D.
   [2014]. Viscous relaxation model for predicting least principal stress magnitudes in sedimentary rocks. Journal of Petroleum Science and Engineering, 124, 416–431.
   [Google Scholar]
7. Wang, F.P. and Gale, J.F.W.
   [2009]. Screening criteria for shale-gas systems. Gulf Coast Assoc. Geol. Soc. Trans.59, 779–793.
   [Google Scholar]