Gold mining projects are a rare opportunity in the minerals industry. They
require relatively small capital and give high profitability and fast retur
n on investment compared with other mineral projects. To expand or maintain
gold production, continuous development of new deposits and fast implement
ation of new mining sites are needed. Process design is one of the major is
sues. As simple and easily extractable ores are almost all exhausted, there
is a need for a consistent approach to deal with increasing complexity and
decreasing or stagnant gold prices. Process design must consider ore genes
is, mineralogical characteristics, ore behavior in available metallurgical
processes, linkage with the mining method, environmental impact, and econom
ic issues. The type of work and environment involved makes this application
ideal for using AI tools such as expert systems, fuzzy logic, and neural n
etworks. This paper presents Intelligold, an expert system for project deve
lopment teams to use at the preliminary evaluation and conceptual project s
tages. Information and knowledge from geology/mineralogy, processing, and e
conomics are organized, and recommendations on process options and estimate
d costs and revenue are given. The "knowledge-building" method is described
, together with implementation and verification. Success in building this s
ystem suggests application to other ores such as copper and complex base me
tals.