Geological data is valuable. Companies spend hundreds of millions of dollars drilling, sampling, surveying, and creating geological models…
…but only a fraction of the data collected is utilized.
GoldSpot Discoveries bridges the gap between big data and geoscience. This starts with cleaning, analyzing, and refining a data set, and then extracting all useful information into a queryable database.
Moreover, data can often be contaminated by noise (or signals from other sources); instruments can exhibit small changes that cause random data error; or other variability due to changes in the environment and/or the operator (e.g. sampling methods).
GoldSpot applies various techniques to remove noises and to eliminate the long-term or short-term trends that are of no interest.
Due to our domain expertise, we are able to integrate all data together, providing a better understanding of the geology, and resulting in better custom solutions.
90% of all the data in the world has been generated over the last two years.
The use of data is more important now than ever.
Applied geophysics consists of various methods that measure the physical properties of the Earth’s subsurface.
Techniques employed often measure the direct response (passive) or an induced response (active) of the ground physical properties. This leads to the ability to assess the underlying geological structure.
Geophysical modelling and inversion are indispensable tools for finding mineral deposit for greenfield or brownfield exploration.
Since most geophysical techniques used in exploration can penetrate through the overburden and sound at great depth, a 2D and 3D reconstruction of the spatial distribution of the ground physical properties (density, resistivity, magnetic susceptibility, etc.) can be produced through the process of modelling or inversion.
At GoldSpot Discoveries, our seasoned Geophysicists work side-by-side with experienced Geologists to help incorporate geological information and constraint the inversion process.
This helps to produce subsurface models that better concord with ground observations (outcrops, drill-hole, …) and provides for better interpretation.
Some of the geophysical methodologies that we use are gravity, magnetic, electrical and electromagnetic methods.
When suitable, we also incorporate different types of technological surveys such as spectral and satellite imaging to help guide and enhance our interpretation.
Geochemical data acquisition and proper interpretation is fundamental in order to identify areas of hydrothermal alteration associated with high mineral potential.
Interpretation of geochemical surveys is critical in any exploration campaign, including highlighting geochemical fingerprints associated with different commodities in various types of deposits.
Geochemical surveys allow for the acquisition of several types of geochemical dataset: DDH and channels assays, lithogeochemical data, soils, streams and lake sediments samples.
GoldSpot’s targeting process aims to extract all the highly valuable data hidden in large databases.
Through 2D and 3D geostatistical analysis, we offer a comprehensive understanding of alteration processes including geochemical indicators at the mine or regional scale.
The study is completed by the integration of the geochemical, geophysical, lithological and structural interpretations in a machine learning algorithm.
The combination of all these expertise makes GoldSpot Discoveries a unique value-added service.
Our modelling experts use all the geological information (data) available (e.g. diamond drill holes, surface mapping, etc.) to visually and accurately represent the geometry of each unique geological setting.
Our geological model comprises stratigraphy, structures, alterations, mineralization and more to integrate into a common Earth Model.
These various features represented and considered during our interpretation play a fundamental role in guiding us toward the discovery of new mineral deposits.
At GoldSpot Discoveries, regional or deposit geological modelling is always preceded by field work observations, homogenization of a database, and a brainstorming discussion with experienced geologists in order to build a robust and consistent geological model.
The combination of implicit and explicit modeling, as well as the addition of 2D and 3D geophysics, and a range of advanced geosciences technologies allows our experienced modelers to create accurate 3D models. In turn, we can cover a huge surface area in a short time frame for faster business decisions.
Data sets are often so large and complex that conventional processing applications are ineffective in dealing with them.
Machine learning investigates the creation of algorithms that can learn from and make predictions from big data. This allows companies to overcome strictly static program instructions and gives computers the ability to learn without being explicitly programmed.
These analytical models allow users to produce reliable, repeatable decisions and uncover “hidden insights” through learning from historical relationships and trends in the data. Mineral deposits form for a reason. Machine learning is used to link this “reason” to available geoscience data to determine the relationship:
Probability of Mineralization = f(geology, structure, geochemistry, geophysics; Ɵ)
GoldSpot Discoveries utilizes these “hidden insights” to aid in mineral exploration and the investment decision process. The workflow created is a disruptive service to help both Geologists and Investors with the decision-making process and to significantly decrease risk, while increasing the efficiency and success rate of mineral exploration.