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Research Mission
Collaborative, Cooperative and Participatory Research and Design for :
Large-scale, Archean silicate systems/ zone-scale gold distributions; related technical exploration risk, quality control, feasibility and economic analyses.
Related issues of interest:
 regional to zone-scale predictive capability for mineral exploration
 controlled, quantitative estimation of mineralization efficiency;
 measurement and control of explicit technical risks and biases in exploration;
 industrial nomenclature and classification systems, industry adaptations; structure and organization of data, data collection, software systems
 mineral exploration productivity, optimization, strategic alignment, portfolio structure;
 central and other natural distribution tendencies for silicate components; standard, blank and quality control samples; integration of whole rock analytical, petrographic and petrofabric (matrix, structural) controls
 geophysical, remote sensing; other geochemical, geological, thermobarometric data integration - controls, constraints and optimization;
 thermodynamics (equilibrium, nonequilibrium; reversible, irreversible; linear, nonlinear; classical / CIT, rational or extended /EIT; continuum) of large- scale silicate systems
Current research:
Five, gold- independent, controlled, estimators predict efficiency (0/1) of large- scale silicate systems and aggregated segments/ zones for gold deposit potential (independently-ranked); circular ("gold is where you find it"), lithogeochemical input bias is constrained to 5 ppb or less;
The derived, constitutive physicochemical estimators characterize critical regional- to zone- scale features of efficient systems for R & D and for field evaluations. Regional-scale to zone-scale order of characterization and estimation establishes control for predictions at varying scales. Licensing available.
Parameters, controls, characteristics and data from system maps and geological maps (regional to < 1 sq. km resolution); from independently classified deposit population; from regional lithogeochemical database and from related data (basis, N. Ontario, Canada, Archean exposures); selective application to comparable systems, to underexposed systems possible; 0.02 level of significance and 0.91 power of test design was revised in 2004 (previously 0.05 sig./0.90 pwr.). Under-explored / poorly understood system potential (highest) is indicated at 9% of the total population ("discrete" design improvement over the existing state-of-knowledge).
Derived point estimates (partly from experimental values), analogous to controlled system estimators, indicate order-of-magnitude, expected efficiencies for individual zones or system segments (or related, pre- specified search/ dimensional/ economic design-exogenous parameters ) e.g. volatiles %CO2-km, %S-100m, gold-ppm-20m; other thermodynamic estimators, point estimates and system constraints specified for general research. Zone-scale or multiple-zone tests for continuity and relative efficiency are available for property-scale or multiple prospect evaluations on a consulting basis.
Design includes C++ algorithm, executable software, derivation, definitions, references; data compilations; digital maps; work-in-progress (WIP); application and field manuals; supporting IP and documents.
Status
Independent researcher (1987-) seeks international collaborations with specific stakes in the derivation of predictive geological system models. An integrated approach to R & D; to continuous technical/ business process improvement; or to controlled prediction at zone-scale would be advantageous. Active, cooperatively-funded, institutional/ major/ junior corporate R & D, exploration plans or regional resource evaluation imperatives; related business, joint-venture, management/ management consulting, business quality (e.g. ISO); cost-effective / risk management strategies would be focal.
Division of pre- competitive (system, population- based) and competitive (single system/ zone) research is indicated. Senior company, supportive organizational funding and technical inputs are possible particularly with participation of regionally-focused, exploration companies. Critical, comparative and practical inputs are invited from specialist researchers and practitioners.
Unpublished. Inquiries, proposals, collaborations welcome from focused institutions, companies, researchers, qualified practitioners (QP) and collaborations. Proposal, business plan and cost schedules are available. Leveraged design participation is possible with bona fide (measurable) design improvements (e.g. significance, power of test). Inquiries on benchmarking, co-development or mergers with advanced, proprietary or regional predictive designs would also be welcome.
Additional Experience, Expertise and Service*
Exploration Geologist: 6 years ( gold, VMS -associated Cu-Zn, nickel-copper, tin-tungsten-molybdenum, uranium; prospective PGM-group settings; Archean, Proterozoic, Paleozoic )
Mineral Sector Analyst: 5 years Energy Mines and Resources Canada.
*Professional geoscience services are provided exclusively by Julius Hava P.Geo. 2004 (Ontario S.O. 2000, c 13)
Future Research
 Large-scale physicochemical systems simulation, wider Archean and younger composite system, gold-volatile efficiencies;
 Archean and younger, large-scale, physicochemical systems simulation for sulphide distribution (Volcanic-sedimentary-alteration pipe-associated; volcanogenic massive sulphides "VMS - associated "; copper-zinc, zinc-lead-copper, pyritic deposits)
 Archean and younger, medium-scale physicochemical systems simulation for sulphide distribution (nickel, copper; associated platinum, PGM)
 Constraint of structural and physicochemical parameters; distribution and propagation of discrete or clustered, crustal-piped or -sheeted systems with Archean and younger associations (e.g. Proterozoic to Eocene diatremes, kimberlites, lamproites and related diamond occurrences); model development and system simulation
 Integrated geostatistical and visualization algorithm development
 Integrated economic and feasibility modeling and visualization- static and dynamic (real-time) analyses
Industrial Relevance
 a predictive and quantitative design for identification and estimator-by-estimator ranking of efficient systems/ zones for gold deposits; fixed or variable sensitivities; for matching of generally known and mineralized systems/ zones with under-explored, under-exposed, sparsely-sampled, glacially-dispersed or weathered systems/ zones;
 to successively screen, locate, prioritize prospects/targets, composite-system-wide (Archean, N. Ont. Canada basis) to (e.g.) 10's of km to 10's of m or zone- scale with design-exogenous, search parameters (grade, tonnage, width; 'world- class' or other); to do so at all stages of target selection, evaluation, sampling; to do so in a repeatable, verifiable manner; to conform to pre-specified R & D and exploration requirements; conversely, to screen areas of lower mineral potential for policy decisions on reserved land, park alternatives;
 the design is based on a "world class" (over half a million square kilometres) exposure of Archean Era (granitic-metavolcanic-metasedimentary) rocks - a large sample of Earth's earliest (and arguably simplest, least weathered, least disturbed, best preserved) geological records/ processes. It is also based on a highly characterized (if not entirely understood) and gold prolific portion of the (larger) Superior Province of the Canadian Shield. From a comparative point-of-view this is strategic window and "test lab" on geological history, for Canada, for Canada's mineral exploration industry and- internationally- for any applied predictive geological research and related business ventures. In short, the exposure presents "acid-test" challenges and a "touchstone" for methodology and for geoscientists.
 design uses data generally available, observed, gathered and variously interpreted by practitioners; adaptable to varying, regional- to zone-scale data sets, as available;
 for controlled, quantitative evaluation of specific exploration risks and biases at an explicit level of uncertainty (e.g. 2%); sensitivities adjustable with independently- specified risk criteria or preferences; for portfolio- style matching/ balancing/ control of general technical risk;
 for control, constraint and optimization of geophysical or remote-sensing methods (attenuation of geological parameters, generally indirect methods); for integration with other geological approaches or specializations (geochemistry; structural and economic geology; igneous, metamorphic petrology and thermobarometry); for technology benchmarking;
 to improve upon other approaches, namely, the use of
a) commonly qualitative, or selectively quantitative indicators/ correlations (uncontrolled, elicited); commonly qualitative, genetic-generic models; computer data (only) compilations and related visualization;
b) narrowly-based fractional or trace, mineral-fluid-element-rare earth element-isotopic indicators; (partial) alteration, lithological and structural indicators;
c) uncontrolled, quantitative/ statistical, parametric/ non-parametric methods; spurious correlation; spatially-modelled/ spatially-biased or "weighted, weight-of-evidence" estimators or visualization methods; uncontrolled extrapolation, interpolation, optimization or smoothing methods; uncontrolled elicited (prior) specifications (subjective probability, expert, neural network);
d) particularly speculative methods that do not quantify any level of uncertainty nor qualify any sources of systematic biases;
e) high-density or extensive sampling, data compilations and broader acquisition practices with unknown predictive capability/ productivity.
 to participate in existing research/ corporate/ government and resource community-initiated collaborations for predictive, quantitative methods, mineral potential mapping and continuous improvement in mineral exploration methods;
 to improve exploration efficiency, effectiveness, transparency; to integrate geological, geophysical, remote sensing, engineering, financial, economic, market parameters/ estimations/ risk/ bias measures; to integrate quality and business processes, environmental parameters, socioeconomic and resource community needs; to improve public disclosure and related securities market efficiencies;
 to support focused innovation, technology design, exploration productivity gains; to promote modern IP management, technology transfer and commercialization of R & D in a "high-tech" resource sector.
Affiliations
Julius Hava P.Geo. (ON), APGO, 2004 (Ont. S.O. 2000 c 13)
Last Updated: September 14, 2007
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