In Ireland and Germany, VECTOR tested the following new exploration technologies with high potential for geological surveys and mining companies: (1) Low impact geophysical methods for subsurface imaging, including a low-cost passive seismic survey and a new type of survey array for magnetotellurics; (2) Hyperspectral imaging for rapid mineral analysis in drill cores and other geological samples; (3) Software for constructing, managing, rapidly querying and loading these data. (4) Framwork for multiphysics property prediction from hyperspectral drill core data. The toolbox facilitates rapid data exchange and will have broad applications across the exploration industry.
VECTOR aligned the intended work and the latest societal developments and knowledge by shifting from “social acceptance” towards the potential of Shared Values. Shared Value refers to common principles or visions between different stakeholders that, in turn, benefit society as well as companies. VECTOR developed Shared Value-index, which will result in recommendations on how the potential to create Shared Value can be enhanced. VECTOR also developed an interactive and unique online simulator that visualizes the complex decisions that implementing the Green Deal involves and the role of CRMs as well as education materials, a unique and awarded documentary, and many other tools for improved stateholder engagement.
VECTOR developed workflows to visualize complex geo-models (LiquidEarth) and modify input parameters easily. A new time-resolved modeling of basin-hosted mineral systems helps to delineate areas where mineral deposition likely occurred. VECTOR also investigated new geophysical inversions that can be included directly in geological modeling processes. With Squizz, VECTOR helps to explore the spatial variation of the social aspects that form the background in which any new mining takes place. Squizz incorporates a rich collection of data sources, including Eurostat, the EU Regional Competitiveness Index, CORINE Land Cover, and the European Soil Data Centre, among others. These datasets have been standardized and mapped onto Uber’s H3 hexagonal grid system to ensure consistent spatial representation, allowing a comprehensive view of factors like protected areas, degraded land, population health, education levels, and infrastructure quality. In addition to visualization of these latent social features, Squizz includes tools for modeling impact tendencies—qualitative estimates of how mining could influence local contexts across financial, human, physical, and natural sustainability dimensions. Through directed graphs, Squizz captures causal relationships between environmental and social indicators and quantifies how changes (e.g. mining activity) propagate through these systems.
