Filters: Author is Mahmoodi, Omid [Clear All Filters]
“Clustering of downhole physical property measurements at the Victoria property, Sudbury for the purpose of extracting lithological information”, Journal of Applied Geophysics, vol. 118, pp. 45-154, 2015.
, Compilation and indexing terms, Copyright 2018 Elsevier Inc.20151900827281ClusteringDownhole measurementsFuzzy k-meansPhysical unitsRock types
“Rock boundaries selection from more than one geophysical log using principal component and derivative analyses”, in CSPG/CSEG/CWLS geoconvention 2015 on Geoscience, new horizons, vol. 2015, Canadian Society of Exploration Geophysicists, Calgary, AB, Canada, 2015, p. 4.
, GeoRef, Copyright 2018, American Geological Institute.2018-027188derivative analysis
“Tools used in mineral exploration for measuring the conductivity and the resistivity in drillholes and on drill core: observations on their range of sensitivity”, Exploration GeophysicsExploration Geophysics, vol. 47, pp. 315-322, 2015.
, “Application of physical properties measurements to lithological prediction and constrained inversion of potential field data, Victoria Property, Sudbury, Canada”, Laurentian University, 2016.
, “Supervised classification of down-hole physical properties measurements using neural network to predict the lithology”, Journal of Applied Geophysics, vol. 124, pp. 17-26, 2016.
, Compilation and indexing terms, Copyright 2018 Elsevier Inc.20154701583775Down holesHeterogeneous rocksMagnetic susceptibility measurementsPhysical unitPredictive accuracySupervised classificationSupervised neural networksVictoria
“Using constrained inversion of gravity and magnetic field to produce a 3D litho-prediction model”, in SEG International Exposition and 86th Annual Meeting, SEG 2016, October 16, 2011 - October 21, 2011, vol. 35, Dallas, TX, United states: Society of Exploration Geophysicists, 2016, pp. 2170-2174.
, Compilation and indexing terms, Copyright 2018 Elsevier Inc.20172003662434
“Using constrained inversion of gravity and magnetic field to produce a 3D litho-prediction model”, Geophysical ProspectingGeophysical Prospecting, vol. 65, pp. 1662-1679, 2017.
, GeoRef, Copyright 2018, American Geological Institute.809535-17