Helium One Global announced the completion of a multispectral satellite spectroscopy study which has identified multiple additional surface helium anomalies at Rukwa, Eyasi and Balangida (100%) project areas. A multispectral satellite spectroscopy ("MSS") study was undertaken by remote sensing specialists DiRT Exploration, based in Cape Town.  The study analysed spectral emissivity data to generate a heat map for helium signatures across the licence area.  Spectroscopy data was calibrated using macro-seep compositional data from previously sampled seeps within the Rukwa, Eyasi and Balangida basins as well as the extensive Rukwa soil gas survey completed in 2016. Surface anomalies not only provide with valuable information about helium charge and migration pathways, but when combined with other datasets can also assist in the identification and prioritisation of drilling targets.  Historically similar anomalies have been shown to be related to gases trapped in the subsurface and have been used globally as a pathfinder to rank prospects and focus further exploration efforts.

Helium One are encouraged to have identified a robust helium anomaly across the Tai structure, where drilling last year identified good quality reservoir and seal units as well as indicators for subsurface helium at multiple levels.  Several similar surface anomalies within the Phase II 2D seismic area will assist in the interpretation of charge and migration pathways and target prioritisation within the newly acquired dataset. Whilst the MSS data confirms to an extent what we already know about widespread charge within our licence areas, the Company has identified multiple additional anomalies within Rukwa, Eyasi and Balangida basins that will benefit from follow up examination using soil-in-gas analysis, ERT and 2D seismic geophysical investigations.  These anomalies provide additional information on prospectivity across all three basin areas, however further ground truthing and interpretation is required to strip biotic and geomorphological signatures from the dataset and incorporate basin wide MSS data into work programme planning.