Keith Barron, Stefan Ansermet, Jan Pol Pallier

First Evidence of Colonial Spanish Activity at Aurania’s Lost Cities Project

Aurania’s field teams discovered vestiges of a road while searching for Sevilla de Oro which was one of two gold mining centres described in historic manuscripts from Ecuador, Peru, Spain and the Vatican. These records describe the Colonial Spanish operating the two gold mines between approximately 1565 and 1606. The road discovered by Aurania’s exploration teams is believed to be the one that linked Sevilla de Oro to the other gold mining centre ‘Logroño de los Caballeros’ as described in the historic manuscripts.

Yawi Target ‘A’ – Drill Target Concept

Join Aurania’s President Dr. Richard Spencer for a short discussion on the drilling strategy at Yawi Target ‘A’. Now that the first bore hole has been drilled, preliminary analysis allows us to adjust and refocus subsequent holes to maximize our understanding of the underlying geology.

Metron Probability Update Part VI: Visualizing a Gold Mine in the 1500’s

Dr. Keith Barron explains what a gold mine of The Lost Cities could look like in the 1500’s.

Metron Probability Update Part V: The 1574 Map

Dr. Keith Barron discusses how a map from 1574 helped shape the search for The Lost Cities.

Metron Probability Update Part III: Making Sense of our Magnetic Data

Here we look at the magnetic data collected from Aurania’s Cutucu project area and not only how it guides geological exploration, but its significance in relation to other notable deposits.

Metron Probability Update Part II: Metron’s First Pass

In this instalment, Dr. Lawrence Stone, Metron’s Chief Scientist discusses how the “Bayesian inference” approach is able to help see patterns in data and highlight primary focus targets for our teams to investigate, along with preliminary findings and discussion on accuracy refinement.

Metron Probability Update Part I: The Bayesian Inference Approach

In this first instalment, Dr. Lawrence Stone, Metron’s Chief Scientist discusses how the “Bayesian inference” approach is able to help see patterns in data and highlight primary focus targets for our teams to investigate, along with preliminary findings and discussion on accuracy refinement.