Factor Analysis of Stream Sediment Geochemical Data from Onyami Drainage System, Southwestern Nigeria

Abstract

<p align="justify"> <span style="font-family:verdana;">An R-mode quartimax rotated factor matrix was applied to a statistical study of stream sediment geochemical data from Onyami drainage system within Igarra area in southwestern Nigeria. The area is underlain by the gneiss-migmatite complex, the low grade supracrustal schist belts and the Pan-African granitoids which intruded both the gneiss-migma</span><span style="font-family:verdana;">tite complex and the supracrustal units. A four-factor model which accounts for 76.49% of the total variance of the stream sediment geochemical data was established. Factor</span><span> </span><span style="font-family:verdana;">1 (Sc-Ga-V-La-Ni-Co-Ag-Bi-Sr-Pb-Hf-Nb-Cu-Cr) probably defines an underlying complex granitic lithology with contributions from mafic and ultramafic rocks. Factor</span><span> </span><span style="font-family:verdana;">2 (Th-U) is attributable to a granitic lithology which reflects the parent rock as the influencing factor. Factor</span><span> </span><span style="font-family:verdana;">3 (Mo-Nb-Zn) appears to define a minor sulphide mineralization associated with granitic rocks that intruded the schists and granite gneiss in the area. Factor</span><span> </span><span style="font-family:verdana;">4 indicates the occurrence of gold and its pathfinder element</span><span style="font-family:verdana;">,</span><span> </span><span style="font-family:verdana;">A</span><span style="font-family:verdana;">s</span><span style="font-family:verdana;">,</span><span style="font-family:verdana;"> in the study area. This inference is consistent with the reported occurrence and mining of gold during the colonial era in Dagbala, which lies within the On</span><span style="font-family:verdana;">yami river catchment area.</span> </p

Factor Analysis of Well Logs for Total Organic Carbon Estimation in Unconventional Reservoirs

“…By reducing the dimension of variability, we are able to explore unobserved properties of the rock that are responsible for the observed well log responses. The latent factors, supposedly accounting for the intercorrelations of the response variables, should thus be uncorrelated after they are extracted from a large observed dataset [25][26][27].…”