leftextra.blogg.se - Digital image processing in mineral exploration

They claim in their test they were able to predict 86% of the existing gold deposits in the Abitibi gold belt region of Canada using data such as geological, topography, and mineralogy from just 4 percent of total surface area. The company claims that the current practice of trying to find gold deposits is more of an art than a science, and they plan to change that with machine learning as they explain in their video.

uses AI to try to improve mineral exploration. Gold Exploration – Goldspot Discoveries Inc. Applying artificial intelligence and machine learning to the task of mineral prospecting and exploration is a very new phenomenon, which is gaining interest in the industryĪt the 2017 Disrupt Mining event in Toronto, Canada, two of the five finalists were companies focused on using machine learning in mining: Kore Geosystems and Goldspot Discovery. A company could build the most aggressively automated and impressively efficient operation and it would be worthless unless there were good material in the ground to extract. This mineral exploration step is critical to mining operations. The first step is finding a place to mine.

That said, this article will look at how AI is being used to find ground to mine and how AI is being used to improve mine operations. Mining is a large and diverse industry with significantly different techniques and technologies used depending on what material is being extracted, so it difficult to make sweeping statements that fully encompass the entire sector. Preliminary results from the present applications of AI in mining.Specific mining AI use-cases and initiatives from established mining companies.

The various mining processes where AI is being tested and applied.

This article examines how the mining industry is using or attempting to use AI to improve productivity and efficiency throughout the process. This is what companies using artificial intelligence and machine learning are trying to do in this space. Small improvements in speed, yields, and efficiency can often be what separate a profitable operation from an unprofitable one. Since mining companies are producing basically interchangeable commodities in large volumes, the industry is heavily focused on improving efficiency at all levels. The cost of almost every good or service is impacted at least in some small part by the mining industry. But the mining industry indirectly impacts nearly every aspect of the economy since it provides the raw materials needed for almost every sector from electronics which often contain aluminum, cobalt, nickel, copper gold, platinum, etc… to energy which use coal for power plans and aluminum for power lines to construction/infrastructure which around the world used roughly 800 million metric tonnes of steel in 2014. In the United States roughly 670,000 people are employed in the mining, quarrying, and gas extraction sector as of September 2017. The number of people directly working in the mining industry is relatively modest. The industry as a whole saw a slump in 2015 but since then the sector has recovered due to rising commodity prices. According to a PWC annual report, the top 40 mining companies have a market capitalization of $748 billion as of April 2017. Mining is a major worldwide industry producing everything from coal to gold.