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COMPUTER EXPRESS TECHNIQUE ON ASSESSMENT AND SELECTION OF PROMISING GOLD OBJECTS FOR THE FORMULATION OF PROSPECTING
Abstract
There are some relevant problems at prospecting-metallogenic analysis of perspective areas: 1. definition of expected formation (mineral) type of mineralization; 2. estimation of the scale of predicted ore mineralization; 3. outlining of the closest analogue from etalon deposits. During formalization this problems can be determined as the problems of pattern recognition, when objects under study described in heterogeneous property space. The conceptual approach to technology support is following: 1. prospecting estimations are carried out by standard models of ore objects of expected formation type of mineralization; 2. this models are developed using the system - hierarchic approach and logic-informative methods of data analysis; 3. the closest analogues are determined based on the calculation of the measure of similarity between objects. The logic-informative solution of recognition problem is based on determination of intervals ? indicators for properties in each group of objects under study and consists of three phases: 1. definition of change limits of properties (intervals - indicators) describing groups of objects under study; 2. quantitative assessment of their self descriptiveness (dividing properties); 3. construction of rule for object reference to one of studying groups on the base of the obtained estimations. These methods allowed to solve reliably the outlined problems.
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References4
Chizhova I.A. Logic-information modeling for prospecting metallogenic analysis of promising areas, Current problems of ore geology, petrology, mineralogy and geochemistry. IGEM RAS, Moscow, 2010, pp 59–84. In Russian.
Chizhova I., Lobanov K., Volkov A. Logical information models for prediction and express-evaluation of new gold ore deposits in the Arctic zone of Russia // 19th International Multidisciplinary Scientific GeoConference SGEM 2019, www.sgem.org, SGEM2019 Conference Proceedings, June 28 - July 07, 2019, Albena, Bulgaria. In press.
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Volkov A.V., Savva N.E., Kolova E.E., Prokof'iev V.Yu., Murashov K.Yu. Dvoinoe Au–Ag Epithermal Deposit, Chukchi Peninsula, Russia // Geology of Ore Deposits, 2018, Vol. 60, No. 6, pp. 527–545.
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