FLOREX MINING CO.
3489FLOREX MINING CO. LTD.Geological, Geochemical & Geophysical ReportJR CLAIMSLatitude 49O 19' North, Longitude 126' 07' WestAUTHOR:A. M. Homenuke, GeologistP. ENGINEER:W. G. StevensonDATE OF WORK:June 1-4, 1972D e p a r t m e n t ofMines and P e t r o l e u m Resources3.&?NO. . MAP . . .
C O N T E N T S.Conclusions .Location & Access .Property .Survey SpecificationsIntroduction .Geological Survey .Geochemical Survey .Data Presentation .SummaryDiscussion of .Instrument SpecificationsMagnetometer .RecommendationsBase Station Magnetometer CRecorder. .Certificate W . G . Stevenson. P . Engineer .Appendix Petrographic Study of 20 Hand Specimens .Statement of Operator’s Qualifications A M Homenuke111222-3334-555567891011-17I L L U S T R A T I O N S41 Figure 1g5Figure 2Location & Claims MapGeological MapGeochemical Map .CopperGeophysical Map .MagneticCompilation MapSoil Profile
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SUMMARYDuring t h e p e r i o d June 1 t o June 4 , 1972, Tri-Con E x p l o r a t i o nSurveys L t d . , under t h e d i r e c t i o n of W. G. Stevenson, P. Engineer,c a r r i e d o u t a program of r e c o n n a i s s a n c e g e o l o g i c a l , geochemical andgeophysical s u r v e y i n g on t h e J R C l a i m Group, A l b e r n i Mining D i v i s i o n ,The i n f o r m a t i o n c o l l e c t e d i s shown on F i g u r e s 2-5B r i t i s h Columbia.i n t h e back of t h i s r e p o r t , F i g u r e 5 b e i n g a compilation of t h e s i g n i f i c a n t data.An area of i n t e r e s t d e s e r v i n g f u r t h e r i n v e s t i g a t i o nwas o u t l i n e d i n t h e c e n t e r of t h e claim group.CONCLUSIONSThe g e o l o g i c a l survey i n d i c a t e d t h e rocks on t h e claim group t ob e i n t r u s i v e , mainly q u a r t z monzonite, b u t w i t h s e c t i o n s of q u a r t zd i o r i t e , g r a n i t e , and a p l i t e .A broad geochemical anomaly ( g r e a t e r t h a n 20 p.p.m.)across thec e n t e r of t h e p r o p e r t y i n d i c a t e s a p o s s i b l e c o i n c i d e n t zone of mineralization.This comment is based on t h e f a c t t h a t known m i n e r a l i z a t i o nand m i n e r a l i z e d f l o a t occurrences are w i t h i n t h i s broad zone.Assay v a l u e s were t o o low (less t h a n 0.1% Copper) t o b e of economicimportance, b u t they do i n d i c a t e t h e presence of some porphyry coppermineralization.Due t o t h e s p a r s e o u t c r o p , t h e l a c k of any s t r o n g mag-n e t i c f e a t u r e s and t h e small number of a s s a y s t a k e n , i t appears t h a tt h i s zone m e r i t s some f u r t h e r a t t e n t i o n .LOCATION 6 ACCESSThe claims surveyed, J R 1-14,are l o c a t e d n e a r t h e c e n t e r of F l o r e sI s l a n d o f f t h e West Coast of Vancouver I s l a n d approximately 15 m i l e snorthwest of Tofino, B.C.The e x a c t l o c a t i o n i s l a t i t u d e 49019' N ,Longitude 126' 07' W.The p r o p e r t y may b e reached by t a k i n g a b o a t o r p l a n e t o F l o r e sI s l a n d and f o l l o w i n g a w e l l marked t r a i l on f o o t f o r 3 miles t o t h eca
Of the 20 specimens examined seven have been classified as quartz monzonite, five as quartz diorite, seven as granite and one as aplite. A thin section of one of the specimens of quartz monzonite showed 30% interstitial K-feldspar and 10% biotite which has replaced hornblende.
DATA MINING What is data mining? [Fayyad 1996]: "Data mining is the application of specific algorithms for extracting patterns from data". [Han&Kamber 2006]: "data mining refers to extracting or mining knowledge from large amounts of data". [Zaki and Meira 2014]: "Data mining comprises the core algorithms that enable one to gain fundamental in
enable mining to leave behind only clean water, rehabilitated landscapes, and healthy ecosystems. Its objective is to improve the mining sector's environmental performance, promote innovation in mining, and position Canada's mining sector as the global leader in green mining technologies and practices. Source: Green Mining Initiative (2013).
Preface to the First Edition xv 1 DATA-MINING CONCEPTS 1 1.1 Introduction 1 1.2 Data-Mining Roots 4 1.3 Data-Mining Process 6 1.4 Large Data Sets 9 1.5 Data Warehouses for Data Mining 14 1.6 Business Aspects of Data Mining: Why a Data-Mining Project Fails 17 1.7 Organization of This Book 21 1.8 Review Questions and Problems 23
Data Mining and its Techniques, Classification of Data Mining Objective of MRD, MRDM approaches, Applications of MRDM Keywords Data Mining, Multi-Relational Data mining, Inductive logic programming, Selection graph, Tuple ID propagation 1. INTRODUCTION The main objective of the data mining techniques is to extract .
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Chapter 517 — Mining and Mining Claims 2001 EDITION MINING CLAIMS (Veins or Lodes) 517.010 Location of mining claims upon veins or lodes 517.030 Recording copy of location notice; fee 517.040 Abandoned claims (Placer Deposits) 517.0
Mining Industry of the Future Exploration and Mining Technology Roadmap Table of Contents Foreword i Introduction 1 Exploration and Mine Planning 3 Underground Mining 9 Surface Mining 13 Additional Challenges 17 Achieving Our Goals 19 Exhibits 1. Crosscutting Technologies Roadmap R&
o Academic Writing , Stephen Bailey (Routledge, 2006) o 50 Steps to Improving your Academic Writing , Christ Sowton (Garnet, 2012) Complete introduction to organising and writing different types of essays, plus detailed explanations and exercises on sentence structure and linking: Writing Academic English , Alice
