Bed Rock Geology & Key Sulphide Mineralization / Distribution

Figure 1. Hat Gold Copper Deposit: Significant Geological Data Points [Geological Study – 2015)]. Note: Compiled from historic and recent mapping.

A Fresh Look at Geology:

Doubleview’s geological team, as part of an ongoing study of the Hat gold-copper alkalic porphyry deposit, is continually revising it geologic model. Exploration of the newly discovered “Lisle Zone” mineralized area of the Hat is in the early stages of drilling to determine its geologic characteristics and to locate its boundaries.  Along with a focus on that Zone, work has continued in order to better define and prioritize numerous anomalous areas that have similar but untested characteristics.  Methods include application of data from various technical surveys and extrapolation of information from a small number of drill holes. The current study began with entry of data from more than 2200 samples into a large GIS Database (Geographic Information System) (Figure 1) that was then tested by a variety of modeling methods, including application of simple “Fuzzy Logic”-type routines to extract specific information, such as sulphide occurrences, or alteration types.  Working with this database has given new perspectives of the geological potential of the Hat Property.

Techniques and Application:

In order to establish confidence in new interpretations of Hat property data and to further delineate exploration targets and their apparently most prospective zones, the reliability of GIS-based tools was confirmed by reference to existing geology maps of the property. The primary correlation was between descriptive geology points overlain on the historic geology base map (Figure 2). It clearly demonstrated harmony of geological units and data point descriptions and productively illustrated the occurrence of the major rock types, diorite and andesite. The following two illustrations show their distribution:

Figure 2. Distribution of field observations and resulting summation of property geology.

Figure 3. Major Rock Types

Diorite and Andesite have been identified as the major Rock units of the Hat property (Figure 3): both host gold-copper mineralization. GIS-based data accurately illustrate their distribution: their relationship to mineral zones is very significant.

The GIS database described in the foregoing section was also used to summarize the distribution of porphyritic textures and sulphide minerals. The porphyry data points identified in the area along with most important porphyry minerals (Pyrite and Chalcopyrite) could be a depiction of the most prospective locations on Anomaly A which have been described in the Exploration Targets Pages.

Identified Porphyry Rocks which appear in clusters.

Most Important mineralization signatures of porphyry deposits (Pyrite and Chalcopyrite)

(*) Real-Life Applications of Fuzzy Logic (Advances in Fuzzy Systems)

Fuzzy logic is extremely useful for many people involved in research and development including engineers (electrical, mechanical, civil, chemical, aerospace, agricultural, biomedical, computer, environmental, geological, industrial, and mechatronics), mathematicians, computer software developers and researchers, natural scientists (biology, chemistry, earth science, and physics), medical researchers, social scientists (economics, management, political science, and psychology), public policy analysts, business analysts, and jurists.

Indeed, the applications of fuzzy logic, once thought to be an obscure mathematical curiosity, can be found in many engineering and scientific works. Fuzzy logic has been used in numerous applications such as facial pattern recognition, air conditioners, washing machines, vacuum cleaners, antiskid braking systems, transmission systems, control of subway systems and unmanned helicopters, knowledge-based systems for multiobjective optimization of power systems, weather forecasting systems, models for new product pricing or project risk assessment, medical diagnosis and treatment plans, and stock trading. Fuzzy logic has been successfully used in numerous fields such as control systems engineering, image processing, power engineering, industrial automation, robotics, consumer electronics, and optimization. This branch of mathematics has instilled new life into scientific fields that have been dormant for a long time. (