IGS Xplore is a new prospectivity analysis system, developed by International Geoscience Services (IGS) Ltd., designed for de-risking early-stage decision making in mineral exploration. The software system uses semantically-driven technology to quickly identify prospective areas for over 15 different commodities.
IGS Xplore, rapidly tests the different types of data that exist for a region or country, including geology, geochemistry, interpreted geophysics and other data sources. These datasets are tested against a set of well-established, non-statistical but empirically-based geological rules governing over 50 known mineralization models.
IGS Xplore addresses the growing demand in today’s data-intensive mineral exploration industry for geological data to be dealt with in an efficient, integrated way, empowering senior decision-makers to make the best possible investment decisions.
Using IGS Xplore we currently have off the shelf prospectivity data products, please see the data products page for further details.
IGS recognises the enormous value associated with geodata and analyses vast quantities of expensive data generated by exploration with its innovative mineral prospectivity analytical tool, IGS Xplore. Understanding a regions prospectivity objectively is of vital strategic importance to mineral explorers and senior decision-makers to make well-informed decisions regarding the selection of commodities to be explored for, the identification of potential concession areas for exploration as well as assisting in raising appropriate levels of investment.
The IGS Xplore system offers a streamlined approach, dramatically shortening the delivery time and reducing the high costs associated with early-stage exploration activities by automating the lion-share of the prospectivity analysis process.
IGS Xplore, unlike other prospectivity analytical tools, does not use a GIS-based approach, fuzzy logic, neural networks or weights of evidence to perform mineral prospectivity analysis.
Instead IGS Xplore is unique in utilising semantic technology, the first time in the mining or MinEx industry. This allows the IGS Xplore system to effectively store, model and query a huge range of geological data and perform automated prospectivity analysis easily
Semantic technology enables the IGS Xplore system house an extraordinary amount of geological knowledge, which is automatically applied to large sets of geological data. The mineral prospectivity areas that are generated are therefore not theoretical constructs or probabilities but are based on actual known geological conditions.