In situ Leaching: A Look into the Future of Heap Leaching
“Are you intrigued to learn more about this revolutionary technology? We invite you to delve into our detailed report on in-situ leaching. You’ll explore the scientific fundamentals, environmental benefits, and practical applications that make this technique a fascinating and promising alternative.
Don’t miss the opportunity to get up close with in-situ leaching and how it’s paving the way towards a more sustainable future in the mining industry. Embark with us and discover the exciting world that lies beneath the surface!”
Social Impact Assessment
Social Impact Assessment (SIA) is a systematic process used to evaluate and understand the potential effects of a project, program, policy or development initiative on the social well-being, culture and quality of life of people and communities. It is a valuable tool used by governments, organizations and companies to make informed decisions and ensure that their actions contribute positively to society.
Incorporation of ESG in Mining
Mining is an industry that plays a vital role in supplying materials needed for construction, manufacturing and energy generation. However, it can also have a significant impact on the environment and local communities if not managed responsibly. That is why the ESG (Environmental, Social, and Governance) approach has become increasingly relevant in the mining sector.
The ESG approach in mining is based on the need to balance the extraction of natural resources with the protection of the environment and the well-being of local communities. By adopting sustainable practices, mining companies can contribute to long-term sustainable development and positively impact the environmental, social and governance aspects of their operations.
Risk Analysis Perspective in the Mining Industry
One of the historical challenges in mining is the failure to meet productive and economic goals, which has generated significant losses in the industry.
In this new GEM Perspective report, a tool is presented capable of improving compliance with the main KPIs of a mining operation or project: Risk Analysis. This allows determining the expected value of planning, evaluating robustness against new scenarios, determining the impact of risks on KPIs, as well as identifying opportunities for improvement.
The role of productivity and innovation in periods of low prices in the copper mining industry
The fall in the price of copper presents the mining industry with a series of challenges.
In order to reduce the impacts on margins that this drop would entail, mining companies are focusing their efforts on reducing their costs. However, marginal operations are often forced to close, while others lower their production levels.
In this new Perspective report, we analyze the characteristics of those miners that manage to survive the fall in prices and what the challenges are in these market circumstances.
Machine Learning Applications in Engineering
“The mining industry is at the right time to adopt the key technological elements of the Fourth Industrial Revolution.”
Although it is still an incipient phenomenon, artificial intelligence is increasingly making its way into companies and organizations. This is due to the great benefits that its application means for processes and decision making.
There are two fundamental elements that have facilitated this path: the computing power of computers and the amount of data available to process.
Within this context, solutions based on Machine Learning and AI are and will be an integral and growing part of the innovations of the coming years in the field of mining and mineral processing.
The objective of this new Perspective Report is to understand the value that exists in extracting patterns from data, using Machine Learning techniques, specifically in the field applied to mining.
Risk Analysis in the Mining Industry
We know that in the mining industry, planning and market estimation can change throughout the materialization of a project.
Given this, this Perspective report studies and shows the main variables that affect the economic value achieved by mining projects, analyzes the aggregate impact observed in the industry, and provides some reasons that explain these deviations, all of the above, supported by the literature, studies and our experience of more than 13 years.