Page 57 - Introduction to Mineral Exploration
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40   A.M. EVANS & C.J. MOON



                            Surface




                                                                           0       0.5 km






                                   Norite
                                   Footwall rocks

                                   Interstitial sulfide in norite

                                   Ragged disseminated sulfide
                                   Gabbro-peridotite inclusion
                                   sulfide and massive sulfide



                  FIG. 3.9  Generalized section through the Creighton ore zone, Sudbury, Ontario, looking west. (After Souch
                  et al. 1969.)

                  limited to a few centimeters on either side of  synthesis of available data and should include
                  a vein, at other times forming a thick halo  the most informative and reliable characteris-
                  around an orebody and then, since it widens  tics of a deposit type, identified on a variety of
                  the drilling target, it may be of considerable  scales and including definition of the average
                  exploration value. Hoeve (1984) estimated that  and range of each characteristic (Adams 1985).
                  the drilling targets in the uranium field of the  It is therefore subject to uncertainty and
                  Athabasca Basin in Saskatchewan are enlarged  change; each new discovery of an example of a
                  by a factor of 10–20 times by the wall rock  deposit type should be added to the data base.
                  alteration. The Atlas of Alteration by Thomp-  In mineral deposit models there are two main
                  son and Thompson (1996) is a very well illus-  types which are often combined; the empirical
                  trated place to start your study.           model based on deposit descriptions and a
                                                              genetic model which explains deposits in term
                                                              of causative geological processes. The genetic
                  3.3  GEOLOGICAL MODELS OF MINERAL           model is necessarily more subjective but can be
                      DEPOSITS                                more powerful, as it can predict deposits not
                                                              contained in the descriptive data base. Another
                  One of the aims of the planning stage (see  type of model which is extremely useful for
                  Chapter 4) is to identify areas for reconnais-  preliminary economic evaluations is a grade-
                  sance and to do this we must have some idea of  tonnage model. This accumulates grade and
                  how the materials sought relate to geological  tonnage data for known deposits and from this
                  factors including geophysics and geochemistry.  it is possible to estimate the size and grade of an
                  This is best achieved by setting up a model or  average or large deposit and the cash flow if one
                  models of the type of deposit sought. But what  were found. Examples of this type of modeling
                  is a model? The term has been defined in vari-  are given by Gorman (1994) for South American
                  ous ways but a useful one is that of “functional  gold and copper deposits. Cost curves can also
                  idealization of a real world situation used to aid  be calculated for differing deposit types. Exam-
                  in the analysis of a problem.” As such it is a  ples for copper (Fig. 3.10) show the low cost of
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