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Closing the Loop: A Cyclic Approach to Asset Integrity Management

Securing the integrity of large-process facilities requires meticulous coordination of multiple teams and data sources. Equipment degrades, new inspection data becomes available, risks evolve, and interventions need to be continuously reassessed. At the scale of refineries, FPSOs, power plants, and other complex industrial facilities, this becomes increasingly difficult to manage. These assets can span hundreds of thousands of square meters and contain thousands of pieces of equipment and components. In this manner, maintaining a consistent view of asset condition, ensuring that relevant information reaches the right teams, and translating findings into timely interventions becomes a continuous challenge.   The Information [...]

Why Inaccurate Material Quantities Continue to Compromise Industrial Projects

In industrial projects, the accuracy of the information used during planning directly influences execution performance. Schedules, contracting strategies, resource allocation, and procurement processes all depend on the quality of the data available to engineering teams. Among this information, few elements have as much impact as material quantities. They serve as the foundation for cost estimates, procurement planning, supplier engagement, and supply scheduling. When they are accurate, they contribute to project predictability. When they are inaccurate, they can trigger a series of consequences that propagate throughout the entire execution phase. Despite advances in digital modeling and engineering tools, errors in material [...]

August 26th, 2026|Digital Transformation, EPC|

Decoding CMLs: The Backbone of Asset Integrity and How Technology is Rewriting the Rules

Industrial plants run on metal, and metal degrades. It is an unavoidable physical reality. In sectors like oil and gas, mining, and petrochemicals, equipment wear is a critical safety hazard and a massive financial liability. You cannot physically inspect every single square inch of piping and every pressure vessel in an operating facility every single day. To manage asset integrity efficiently and safely, industries rely on a highly targeted, strategic approach: Condition Monitoring Locations, or CMLs. The Anatomy of a CML   A Condition Monitoring Location is a specific, formally designated area on a piece of equipment, pipe, or [...]

As-Built vs. As-Designed: Detecting Divergences in Complex Environments

Large industrial assets and construction projects continuously evolve throughout their lifecycle. Modifications during construction, maintenance interventions, shutdown activities, retrofits, and operational adaptations gradually change the physical configuration of the facility over time. As these changes accumulate, the gap between the facility’s as-designed, as-built, and as-is conditions progressively increases, causing the digital representation of the asset to drift away from field reality. This scenario creates a growing operational problem. 3D models are used as references for planning, maintenance, safety analyses, Management of Change (MOC), inspections, and construction execution. However, when the digital representation no longer reflects the actual as-is condition observed [...]

June 3rd, 2026|Industry 4.0, Maintenance|

Beyond the Bot: Why 2026 is the Year of Systemic AI in Heavy Industry

As we navigate the midpoint of 2026, the industrial landscape has reached a critical inflection point. For the past two years, the conversation was dominated by the "Year of the Agent", a rush to deploy specialized AI bots to summarize reports or provide chat-based interfaces for maintenance manuals. However, as Verdantix recently highlighted in their Global Corporate Survey 2026: Industrial Transformation Budgets, Priorities And Tech Preferences, the "Surface AI" era is ending. While 84% of EHS and Operations leaders have prioritized AI adoption, a staggering 89% of decision-makers identify architectural complexity as their primary barrier to scaling. The industry is [...]

April 8th, 2026|Artificial Intelligence, Industry 4.0|

Process Safety Management 101: Hazards, Barriers, and Digitalization

In one of Aesop’s most well-known fables, a boy repeatedly raises a false alarm about a wolf attacking his flock. After several false warnings, the villagers stop responding. When the wolf finally appears, no one comes, and the consequences are irreversible. Industrial facilities face a similar risk. Alarms, safeguards, and barriers are designed to signal or contain deviations before they escalate. But when alarms are unreliable, poorly configured, or excessively frequent, they lose credibility. Operators may become desensitized, and abnormal conditions can gradually be treated as routine. How can organizations ensure that warnings remain meaningful, that deviations are properly [...]

What Really Slows Turnover Cycles in Industrial Assets

Turnover rarely extends because tasks are technically difficult. It extends because teams do not fully trust the information they are handed. Too often, turnover is treated as a short, procedural, and largely administrative step: a final checkbox before responsibility shifts to the next stakeholder. Yet, in practice, they are some of the most fragile moments in an asset’s lifecycle. Decisions made under time pressure, with incomplete visibility, determine whether an asset returns to service with confidence or with unresolved uncertainty quietly embedded into operations. So why do turnover cycles so often stretch beyond plan, even when execution is complete, and [...]

February 23rd, 2026|Asset Integrity Management, Industry 4.0, Maintenance|

Industry Tech Trends for 2026: What 2025 Taught us and Where We’re Heading Next

Learnings from 2025 and the Trends Steering Global Industries   The year 2025 marked a turning point in the global technology landscape. After years of speculation and fragmented experimentation, artificial intelligence finally took center stage in a way that reshaped strategies across every industry. Enterprises moved from AI experimentation to large-scale adoption, a trend outlined by Gartner in their 2026 tech-trend report. According to the report, integrated systems such as “AI Supercomputing Platforms,” combining CPUs, GPUs, AI ASICs, and orchestration layers, have emerged as critical infrastructure to support heavy AI workloads. But 2025 was not only the year AI matured, [...]

January 7th, 2026|Vidya News|

Beyond corrosion detection: How is Vidya’s System being used?

Corrosion. AI. Digital Twin. You already know that the Vidya System Platform (VSP) stands out in these disciplines. But what started as a corrosion-focused platform quickly became a versatile system for understanding and managing complex industrial realities. Its evolution reflects how technology and user demands continue to shape one another. But what else is possible to do within Vidya’s solution? Well, we asked our clients how they are using the VSP.   Janaina Albino and Stefany Batista, Delivery and Customer Success Team   From detecting corrosion to operating with ease   Born as a corrosion-targeted solution, the scope and capabilities [...]

Integridad de FPSOs 101: retos, estrategias y el rumbo a seguir

Los FPSO (Floating Production, Storage, and Offloading units, por sus siglas en inglés) se encuentran en la intersección entre la ingeniería extrema y la estrategia económica a largo plazo. Su presencia en aguas marítimas profundas viabiliza la extracción de gas y petróleo en lugares donde la infraestructura fija sería inviable. En estos activos industriales, cada componente de la embarcación está continuamente expuesto a condiciones severas de las profundidades del mar, fatiga estructural, cargas variables y esfuerzos mecánicos. Sumado a ello, la corrosión ataca lentamente los cascos, risers y equipos de topside. Los movimientos repetitivos de las olas y las tensiones [...]

October 30th, 2025|Asset Integrity Management, Digital Twin, Offshore|
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