Consistency at Our Core
When mine planning, consistency isn't just a desirable trait; it's an indispensable asset. Core logging, the systematic recording and analysis of drill core, serves as the initial key to geological understanding and resource estimation. Core logging accompanied by assay results are a fundamental process of geological data acquisition needed to from 3D models which are used to make any major mining decisions. The importance of consistency while collecting this data cannot be understated. Every model, mine design and drill hole placement is done using core logging data, however this data is often highly subjective.
The industry faces a challenge to not only standardize this data but generate reliable and consistent results. It is the age-old joke among geologists: put 2 geologists in a room and you will get 3 answers. Disagreements on logging metrics can lead to discrepancies in logging data. Examples include: visual mineral percentage estimations; alteration logging from only visual cues; and lithological logging often done with no quantified geochemical backing. This current process results in data inconsistency and leads to reduced certainty and lack of confidence in decision making.
At GeologicAI, we aim to change that. Consistency is one of our trademarks.
With the Digital Core Table, XRF and hyperspectral data are available to provide insights otherwise not visible with the naked eye while logging. This makes for more accurate and consistent lithological and alteration logging by not only relying on visual cues but quantifying continuous sensor data to provide further insights and driving consistency. Inconsistent percentage logging can be addressed with provided computer generated outputs, later validated by the logging geologist, once again reducing subjectivity. Rock quality data is available for loggers on the Digital Core Table, meaning structural logging and rock competency can be logged with a higher degree of certainty and consistency as well, leading to more informed structural models.
Reliable core logging provides accurate and consistent data which ensures data continuity through modeling and interpretations. Mining companies rely on geological data to make informed decisions about resource potential and extraction strategies –but discrepancies or errors in core logging can lead to flawed interpretations and misguided decision making. With consistent data collection, digitized data, and the application of AI-based solutions, these errors are significantly reduced and can even be eliminated.
From logging and sampling to analysis, our Auto Lithology and logging functionalities are standardized and customized to our clients’ site-specific needs. Understanding how to utilize the tools available on the Digital Core Table is fundamental for the identification and interpretation of scanned data. Clients have access to detailed core logging education to ensure anyone using our scanners and Digital Core Table have the skills needed for enhanced reliability and integrity of their mine planning decisions.
Consistent data capture and logging helps decipher trends and patterns critical to understanding your deposit. From exploration to production, consistent logging enables geologists and engineers to better understand the unique characteristics of their project and know where to target next. Whether interpreting vectoring parameters to optimize drill hole placement during exploration, or creating block models for grade control and optimized processing, consistent logging streamlines decision-making and optimizes resource allocation, driving efficiency and cost-effectiveness.
In the mining industry, stakeholders, including investors, regulators, and local communities, rely on accurate and reliable information to assess the environmental and socio-economic impacts of mining activities. This data consistency and enhanced ore body knowledge fosters trust and transparency between stakeholders and shows commitment to quality and accountability.
In the end, consistency in core logging is not just best practice; it is fundamental for success in the mining industry. Inconsistencies in logging data will lead to inconsistencies in models and decision making. GeologicAI addresses this issue from the root – core logging, where consistency in logging data is passed along to all stages in mining. By upholding rigorous standards and procedures, GeologicAI helps mining companies unlock valuable insights, mitigate risks, and make good on their responsibilities to stakeholders. In an industry defined by uncertainty and complexity, consistency enables reliability and trustworthiness, guiding mining ventures towards profitability, sustainable growth, and responsible stewardship of natural resources.