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Awarded paper: A Digital Approach for Safety Control and Process Intervention

Classified by the Bureau of Labor Statistics as one of the riskiest industries, oil and gas operations face numerous challenges, including equipment failures, accidents, and safety hazards. Certainly, this sector is subjected to safety threats due to the complex processes and hazardous environments in which it operates. For this reason, high-complexity facilities such as oil and gas need to target safety and risk assessments as fundamental pieces of operational management. In this context, Vidya presented two technical articles regarding our deeptech solutions at ROGe 2024. The first presentation, which took place on September 23rd, discusses the Digital Process Safety application. [...]

September 4th, 2024|Artificial Intelligence, Vidya News|

AWS announces Generative AI acceleration with Vidya

It is an honor to share that Vidya was selected for the AWS Gen Ai Energy Lab. This Amazon program is an enterprise accelerator designed to spur co-innovation through partnerships and trials. Among over 800 applications, Vidya was selected for the Generative AI for Clean Energy. The partnership between Amazon Web Services and Vidya was announced at the AWS Energy Symposium, taking place Aug. 13-14, 2024, in Houston, Texas. The conference united energy and utility leaders, partners, and startups aiming to forge the industry's future by reinventing energy. This program allows us to accomplish our next step in Vidya’s platform [...]

August 14th, 2024|Artificial Intelligence, Industry 4.0, Vidya News|

Computer Vision 101: How can AI see things?

A world where computers can understand the environment around them simply by looking. This isn't science fiction anymore. It’s the new frontier of artificial intelligence called Computer Vision. It can perceive its surroundings and interpret visual information to identify objects, colors, shapes, and areas. This technology consists of a model that learns information from multidimensional data, such as images or videos, enabling machines to develop a visual perception like humans. Today, Computer Vision systems can analyze vast amounts of visual data with incredible accuracy. But how exactly was Computer Vision developed? How does it work? And what are the [...]

June 26th, 2024|Artificial Intelligence, Industry 4.0, iot, Oil and Gas|

How to optimize Industrial Safety and Risk Management

The International Association of Oil and Gas Producers reported a 36% increase in offshore fatalities from 2020 to 2021. This concerning rise underscores the inherent safety challenges of the industry. Certainly, this sector is subjected to safety threats due to the complex processes and hazardous environments in which it operates. For this reason, high-complexity facilities such as oil and gas need to target safety and risk assessments as fundamental pieces of operational management. But what are the main concerns of the oil and gas industry regarding risk management?     Concerns regarding risk management in the O&G Industry   [...]

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. In this context, AI-driven corrosion detection offers a safer and more sustainable method of addressing corrosion by providing a holistic perspective on Asset Integrity Management with 3D models, predictive algorithms, data contextualization, and Machine Learning. Thus, this blog analyzes how AI [...]

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|
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