You searched for :

Enhancing Mining’s Risk Management with AI

Properly managing risks in the mining industry isn’t a simple task. Inherently, mining activities are characterized by high structural damage, safety risks, and obstructed productivity. Within this volatile environment, companies still face several limitations that impede effective risk management and safety efforts. For this reason, new methods to optimally control hazards need to be explored by the Mining Industry. This article elucidates the industry's bottlenecks in managing risks and how AI-driven technologies are enhancing current strategies.   Concerns regarding risk management in Mining Industries   According to the European Commission, risk management of a mine or any other mineral extractive [...]

April 23rd, 2024|Artificial Intelligence, Mining|

How to leverage the full potential of AI Predictive Maintenance

Industrial maintenance is a crucial but challenging aspect of large-scale process industries. Traditional maintenance methods result in expensive, risky, time-consuming, and often inefficient activities. This has led to a growing implementation of digital technologies to optimize maintenance, which made clear the opportunities that these optimized processes offered, like foreseeing anomalies with predictive maintenance for example. However, successfully implementing this maintenance approach requires the integration of different cutting-edge technologies. Despite the complexity surrounding the adoption of predictive maintenance, we need to understand its leveraged opportunities in industrial environments.   Why industrial maintenance requires predictive care   Industrial maintenance can be a [...]

April 10th, 2024|Artificial Intelligence, iot, Oil and Gas|

How AI streamlines mineral transportation

Mining logistics involve managing activities related to the transportation of ore from the mine site to the ore processing plant and eventually to the final customer. In this context, this process consists of transporting large volumes of minerals for thousands of kilometers. According to McKinsey, today’s complex mining value chains are almost inevitably subject to disruption. For this reason, new strategies for streamlining mineral transportation must be developed. However, before delving into the challenges of mineral transportation, we need to understand how the whole process occurs.   The mining logistics process   Mineral transportation is embedded in the Mining value [...]

February 28th, 2024|Artificial Intelligence, Mining|

How is AI applied to corrosion detection?

Corrosion detection is a challenging, risky, time-consuming, and expensive process. According to NACE, the global corrosion cost is estimated to be US$2.5 trillion, equivalent to 3.4% of the global GDP (2013). On top of that, it requires workers to inspect every edge of an enormous environment full of flammable hydrocarbons. However, the use of AI is reshaping this practice. AI-powered corrosion detection uses drones and sensors to map the asset digitally. And by adopting cutting-edge technology, this new method is proving to be more efficient and reliable than the traditional one. This article will analyze how AI applied to corrosion [...]

January 17th, 2024|Artificial Intelligence, Corrosion, Industry 4.0|

Developing an Effective Corrosion Prevention Strategy for Mining Operations

Intro   Corrosion consists of constant material degradation by chemical or electrochemical reactions with its environment. Indeed, heavy corrosion damage can lead to extended unplanned shutdowns, decreased safety, and increased environmental exposure. And, while corrosion progression doesn’t stop, asset activities must be paused to address degradation and anomalies. In this context, mining structures are exposed to harsh environmental conditions, including moisture, acidic or alkaline substances, and abrasive materials, which accelerate corrosion. This being said, developing an effective corrosion prevention strategy is crucial to mitigate the impacts and costs of corrosion. A two-year global study released at the CORROSION 2016 conference [...]

December 20th, 2023|Artificial Intelligence, Corrosion, Mining|

Top 4 AI Trends of 2024

Intro   As we step into the year 2024, Artificial Intelligence continues to transform industries and our daily lives. From chatbots to AI-automated processes, this technology is rapidly increasing the speed of operations while delivering more specified and data-driven decisions. In this volatile reality, trends and technological innovations emerge faster, reaching a point in which it is hard to keep track of new AI solutions. In this blogpost, we will explore some of the top AI trends to watch for in 2024, discussing how these trends are shaping the future of industries.   1. Increased Processing Capacity   Over the [...]

October 11th, 2023|Artificial Intelligence, Industry 4.0|

Why AI is becoming a consolidated reality

Intro   Artificial intelligence (AI) is a rapidly evolving field with the potential to transform many aspects of our lives. It is already having a significant impact on the job market, creating new jobs and transforming existing ones. Besides that, AI is democratizing innovation, helping people to be more productive and creative. This is leading to a wave of innovation from startups and individuals. However, in order to comprehend AI’s scope, it’s important to consider the fundamental aspects that led to AI’s meteoric rise.   AI’s boom   Throughout history, society always had the need for technological innovations. Although the [...]

September 27th, 2023|Artificial Intelligence, Industry 4.0|

AI Applications in Safety and Risk Management for Oil and Gas

Intro   Hazardous environments are inherent to Oil and Gas operations, especially in offshore locations. Their dangerous conditions have constantly put workers and the environment at risk. Besides that, productivity is also threatened by the asset core activities, mainly affected by corrosion-generating processes. This worrying scenario requires an optimized method of risk management. In this sense, AI plays a pivotal role in mitigating risk management concerns, and enhancing maintenance control by constantly monitoring the asset’s health. Despite that, there still are several nuances that contemplate the complexity of risk management in each operation. For this reason, let's delve into the [...]

Unlocking AI’s accuracy and reliability

AI's growth scenario   From its early days as a theoretical concept to today's omnipresent reality, AI's journey has been characterized by exponential growth. According to a 2022 IBM research, more than a third of companies (35%) report the use of AI in their business, a four-point increase from 2021. This illustrates a key change in the way we face reality, but different from other technological revolutions: today’s tool learns from its own experience at increasingly higher speed and scale.     These tools are programmed to have a human-like thought process. Moreover, they are now a reality in the [...]

How Machine Vision will change society forever

Intro: Computers that make decisions on their own, based on the environment they physically are in, are the new frontier of artificial intelligence evolution, called Machine Vision, which allows computers to see and analyze their surroundings. It is an algorithm that provides spatial awareness to the computer, enabling the machine to develop a visual perception in the same way humans do.     Machine vision has provided new forms of automation not previously imagined, such as real-time parts tracking, enhanced quality inspection, product defect detection and more efficient and accurate safety systems. This allowed the technology to gain notoriety [...]

August 9th, 2023|Artificial Intelligence, Digital Twin, Oil and Gas|
Go to Top