Boreholes plans optimization methodology combining geostatistical simulation and simulated annealing
Author
dc.contributor.author
Pinheiro, Marisa
Author
dc.contributor.author
Emery, Xavier
Author
dc.contributor.author
Rocha, Ana Maria A. C.
Author
dc.contributor.author
Miranda, Tiago
Author
dc.contributor.author
Lamas, Luis
Admission date
dc.date.accessioned
2018-05-29T17:01:05Z
Available date
dc.date.available
2018-05-29T17:01:05Z
Publication date
dc.date.issued
2017
Cita de ítem
dc.identifier.citation
Tunnelling and Underground Space Technology 70 (2017) 65–75
es_ES
Identifier
dc.identifier.other
10.1016/j.tust.2017.07.003
Identifier
dc.identifier.uri
https://repositorio.uchile.cl/handle/2250/148294
Abstract
dc.description.abstract
Nowadays, the prospection plans have the difficult task of ensuring a more complete and rich characterization of the rock mass for the purpose of optimizing costs and increasing safety in geotechnical projects. Currently, boreholes location and depth are mainly defined based on experience and know-how of professionals, as such, it is user-dependent. Hence, there is a lack of methodologies to help the decision-makers in defining the optimal location of boreholes (with relevant information). Therefore, this paper presents a methodology based on the use of geostatistical conditional simulation allied to a stochastic global optimization algorithm (Simulated Annealing) to develop optimized boreholes plans comparing a uni-objective and a multi-criteria optimization approaches. In this work, the optimized location is considered the one that minimizes uncertainty translated by either the average local variance or the average width of 95% probability intervals of simulated values at unsampled locations. This methodology was applied using preliminary information obtained from previously executed boreholes using as variable the empirical rock mass classification system, Rock Mass Rating, in a Chilean deposit.
es_ES
Patrocinador
dc.description.sponsorship
FCT (Fundacao para a Ciencia e Tecnologia, Portugal)
PEst-UID/CEC/00319/2013
UID/ECl/04029/2013
SFRH/BD/89627/2012
Chilean Commission for Scientific and Technological Research
CONICYT PIA Anillo ACT1407