Page 74 - Geochemical Remote Sensing of The Sub-Surface
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Geoelectrochemistry and stream dispersion                              51
              Geol.      Diagrams of logging
              section  3.~u   C~zrent.mA   ~.  CGS    9  diameter, rr~
                   O.  10  20  30  o.  ;o  ;o  o  o.~.,o-,   60   100   de
            o  ~ ~,-* :,-
              .-+.-              f
             ._<--
                                 i
            25  ~_.  ----~

            50  p'v ~v

            75


                                 !
               ......   i


            h,m

           Fig. 2-30. Geological column and logs of borehole 3427 at the Karik-Javr section in Pechenga ore
           field, Kola peninsula, Russia: 1- moraine; 2- garnet-biotite  gneisses;  3-  shadow migmatites; 4-
           alumina gneisses; 5- plagio-amphibolites; 6- biotitc-chlorites; 7- biotite gneisses; 8- copper-nickel
           sulphide ore.


           the  magnetic  fraction  and the  initial  sample  for 25-30  elements.  The  resulting  MPF  and
           TMGM  patterns  show  anomalies  that  are  wider  and  smoother  than  CHIM  and  MDE
           anomalies.  For  this  reason  and  the  low  cost  of  MPF  and  TMGM,  these  methods  are
           applied  at the  regional  investigation stage  at  scales  of  1:500000-1:1000000  (Ryss et  al.,
           1988) and for prospecting at scales of 1:50000-1:200000 (Antropova et al.,  1986).
              Figure  2-33  shows  the  results  along  a profile  sampled  at  intervals  of 5-20  m  across
           known  sulphide  mineralisation  in quartz  veins  in  late  Palaeozoic  igneous  rocks  covered
           by  60  m  of Quaternary  sediments.  Conventional  geochemical  survey  data  fail  to  detect
           the  mineralisation  (Fig.  2-33A).  The  MPF  results,  on  the  other hand,  give  well-defined
           anomalies for gold, arsenic, silver and copper (Fig. 2-33B).
              These methods also have applications  in oil prospecting.  Figure 2-34 shows that high
                                           Ni   Co
           values of the multiplicative  coefficient -6- x  -~-  calculated  from MPF data delineates  an
           oil  reservoir  of 4  •  6  km.  At  the  Kristalnoe  oil  deposit  TMGM  and  MPF  outline  the
                                                              Zn
                                                                          Pb
                                                                             Co
                                                                  Mo
                                                                      Co
           boundary  of  the  deposit  by  high  concentrations  of   -~-,  c  ~ -~-, ~-  ~ -6- ~  Ni
           determined by MPF and Ni, V, Cr determined by TMGM; the multiplicative  coefficients
           Cu                Ni   Co
           -'6-" x  --~ x  --~  and  -if- x  -~- x  ~-  calculated  from  MPF  data  are  also  effective.  By
           comparison a conventional geochemical survey for Cr does not give positive results (Fig.
           2-35).
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