Monte carlo simulation for uncertainty estimation on structural data in implicit 3-d geological modeling, a guide for disturbance distribution selection and parameterization

HIGHLIGHTS

• who: Solid Earth and colleagues from the for Exploration Targeting, The University of Western Australia, Stirling Hwy, Crawley WA, Australia have published the research work: Monte Carlo simulation for uncertainty estimation on structural data in implicit 3-D geological modeling, a guide for disturbance distribution selection and parameterization, in the Journal: (JOURNAL)
• what: In this paper several improved methods for MCUE are proposed.
• how: This paper discusses the importance of disturbance distribution selection and proposes a simple procedure for better disturbance distribution parameterization and a pole-vectorbased sampling routine for spherical data (orientations . . .
  

   

  

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