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Condition-Based vs Reliability-Centered Maintenance

Condition-Based Maintenance and Reliability-Centered Maintenance are both popular and often confused concepts in Asset Integrity Management. Indeed, they share some common goals: minimizing downtime, reducing maintenance costs, and ensuring the reliability of critical assets. However, understanding the distinctions between these two approaches is crucial for any industry looking to optimize maintenance strategies.   Condition-Based Maintenance (CBM)   Condition-Based Maintenance consists of a predictive maintenance approach that analyzes the historical performance data of machines to forecast when one is likely to fail, limit the time it is out of service, and identify the root cause of the problem. The idea here [...]

October 30th, 2024|Asset Integrity Management, iot, Maintenance, Uncategorized|

Industrial GenAI 101

Generative AI marks a groundbreaking milestone in the evolution of artificial intelligence, not just in its capabilities but in its reach and impact. While it may not be the single most important development in AI's history, it has certainly captured the public's attention like no other. Now, businesses of all sizes, across industries, can harness AI's power without needing a team of data scientists or advanced technical knowledge. According to Statista, the Generative AI market, which was just over $23 billion in 2022, surged to nearly $45 billion by the end of 2023. This rapid growth, averaging about $20 billion [...]

October 16th, 2024|Artificial Intelligence, Industry 4.0, iot|

Why Big Companies struggle with Digital Transformation

In today's fast-paced, technology-driven world, the ability to embrace change is not just a strategic advantage, it's a survival imperative. To remain relevant and competitive, companies must navigate the turbulent waters of digital transformation. However, the sheer size and complexity of established companies, which once guaranteed stability and market dominance, now may become their Achilles' heel in the digitization process. In this context, understanding the critical need to embrace change becomes paramount, but what defines this digital transformation?   What defines digital transformation?   Digital transformation is the comprehensive integration of digital technologies into all areas of a business, fundamentally [...]

August 7th, 2024|Digital Transformation, Industry 4.0, iot|

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 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|

The 4 levels of Spatial Computing

Spatial Computing might be the next frontier of technological evolution. This technology blends virtual and physical environments for seamless interaction. Certainly, Apple's Vision Pro had a significant impact on the popularity of the concept among tech enthusiasts. Yet, it still represents a slightly abstract idea for most people, as it consists of a brand-new technology that presents different levels of immersion and integration within its scope. In this regard, it’s important to analyze the concept behind the different Spatial Computing levels.     Virtual Continuum     The concept surrounding Spatial Computing is defined as the Virtual Continuum. It represents [...]

March 13th, 2024|Industry 4.0, iot|

Why traditional Corrosion Management methods are becoming obsolete

Offshore Oil operations are constantly threatened by an inevitable factor: Corrosion. Heavy corrosion damage can lead to extended unplanned shutdown times, decreased safety, and increased environmental exposure. This is why Oil and Gas companies struggle with traditional Corrosion Management methods becoming obsolete. However, corrosion management isn’t an easy task, involving locating, prioritizing, and treating corrosion signs along +300,000m² areas. Besides that, while operations need to execute interventions, they need to deal with limited maintenance time, budget constraints, and costly downtime. For this reason, the sector’s complexity requires an alternative method of addressing corrosion.   The Importance of Corrosion Management   [...]

November 29th, 2023|Corrosion, Industry 4.0, iot|

What is a Data Lake?

Since the digital transformation, many data have begun to be gathered in the midst of industrial processes and operations. Technologies such as machine learning, big data, and cloud computing are some of the tools developed in this period in order to handle this data so that it can become useful.   Within this scenario, a new concept of storage starts to be discussed. In this text we will address what are the main characteristics, definitions, and benefits of a Data Lake, and what opportunities this concept creates for data scientists who want to extract maximum value from data.   What [...]

May 19th, 2022|Artificial Intelligence, Industry 4.0, iot|

How smart industries will be

Can you imagine what the industries will be like 10 years from now? The concept of industry of the future or smart industries describes the application of different combinations of modern technologies to create a hyperflexible and self-adaptive operating and manufacturing capability.     Smart factories are an opportunity to create new forms of efficiency and flexibility by connecting different processes and information flows. Some technologies are essential to this concept. Let's address the top 3 below. IoT - (Internet of Things)   The Internet of Things is the ability of devices to communicate with each other without human [...]

December 15th, 2021|Artificial Intelligence, Digital Transformation, iot|

A Guide to Better Leveraging IoT Data (Internet of Things)

IoT (Internet of Things) has been widely used by the oil and gas industry, forming a large communication network between physical objects, which have any possibility of communication with each other. The use of this technology in industrial plants has allowed the extraction of gigantic amounts of data, bringing up the question:   How to use IoT data efficiently?   The path found by the oil and gas industries so that data can be used in order to generate valuable insights and turn them into actions that result in performance optimization, control, safety and greater fluidity of the process as [...]

June 17th, 2021|Digital Transformation, Digital Twin, Industry 4.0, iot|
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