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A dokumentum adatai:
Cím:Invasive weed optimization driven factor analysis for lithological characterization of aquifers
Szerző:Abordán Armand
Hozzáférés:teljesen nyilvános
Megjelenési év:2018
Nyelv:angol
Altémakör:geofizika
Tárgyszó:agyagtartalom meghatározása
faktoranalízis
karotázs
Forrásdokumentum címe:MultiScience - XXXII. microCAD International Multidisciplinary Scientific Conference
Év:2018
Eredeti ISBN:978 963 358 162 9
Eredeti oldalszám:8 p.
A formátum neve:PDF dokumentum
Az adatrekord státusza:ellenőrzött
Összefoglaló:A globally optimized factor analysis is presented to estimate shale volume of groundwater formations. Wireline log data, including natural gamma-ray intensity (GR), spontaneous potential (SP), density (GG), neutron-neutron intensity (NN) and shallow resistivity (RS) logs are processed simultaneously to estimate the values of factor scores along a section of the investigated borehole. Then the so-called first factor log is related to the shale volume of formations by regression analysis. In the investigated borehole, a strong linear relationship is found between the first factor log and the shale volume. Invasive weed optimization is implemented into factor analysis to reduce the misfit between the measured and theoretical data calculated by the factor model and it also permits the estimation of theoretical values of well logging data. The method provides an independent estimate of shale volume, which can be later used in the further interpretation of data.

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