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How to Revolutionize Oil and Gas Documentation with AI Document Processing

A data-driven standardised generalisable methodology to validate a large energy performance Certification dataset: A case of the application in Ireland Errors in manually inputting data from on-site surveys into calculations can undermine BER/EPC results. Currently, no standardised method exists for validating BER/EPC datasets. Research by Kumar Raushan of the Irish Building Stock Observatory and the Built Environment Research and Innovation Centre (BERIC) in Technological University Dublin, funded by MaREI, introduces the first automated, data-driven validation of an EPC dataset. It adapts as the database evolves and scripts will be made available on the IBSO platform (www.ibso.ie). Seventeen unique filters were developed, revealing that 30% of EPC entries were erroneous and/or outlier data, with a staggering 80% related to misassessment of geometrical features. Errors in one field often correlated with errors in others, indicating some Assessors’ low responsibility towards data quality. Upstream input data validation measures to our EPC system, need to be introduced by Sustainable Energy Authority of Ireland (SEAI) to reduce very avoidable Assessor mistakes when inputting data. https://lnkd.in/e6ThPqyD

Discover how digital twin technology is revolutionizing the process industry, from oil & gas to power and chemicals. Dive into our latest blog to uncover the growing trend of digital twin adoption and its transformative potential. Learn about the benefits of real-time data analysis, enhanced project efficiency, and operational improvements that digital twins bring to complex, safety-critical environments.#DigitalTwin #ProcessIndustry #Innovation #OperationalEfficiency #CADMATIC_eShare #DigitalTransformation

SCADA time-series data is critical for utilities to monitor usage, optimize operations, and uncover inefficiencies. But traditional formats like SCADA interfaces, spreadsheets, and Power BI can be challenging for people with a vision impairment. We're committed to delivering accessible, high-impact tools for all utility staff. This blog describes a recent collaboration with WaterAble and Greater Western Water - and we thank them for this. 💌 #DisabilityInclusion #WaterUtilities #SmartWater #DigitalUtility #WaterManagement #WaterLoss #DataMining #Water

𝗛𝗼𝘄 𝗔𝗜 𝗶𝘀 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗶𝗻𝗴 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀𝗲𝘀 𝗶𝗻 𝘁𝗵𝗲 𝗢𝗶𝗹 𝗮𝗻𝗱 𝗚𝗮𝘀 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝘆 The use of artificial intelligence (AI) in the oil and gas business has grown quickly and changed a lot in the last ten years. AI has become an important way to solve these problems, causing big changes in the industry. In this part, we'll look at how AI is being used in the oil and gas industry, including the main trends, reasons for growth, problems, and chances for the future. The landscape of AI in oil and gas is continuously evolving, with several key trends at the forefront: 1. Predictive Maintenance 2. Digital Twins 3. Edge Computing 4. Strategic Partnerships In today's competitive landscape, adopting AI is not just advantageous—it's essential for the industry's survival and prosperity. Looking ahead, the symbiosis between AI and the oil and gas sector will only grow stronger, reshaping the industry's future. Tap here to read the complete blog: https://lnkd.in/gpEz26WC #oilandgas #Aiinoilandgas #trends #b2b #updates #leads #marketing #sales #emailmarketing #salesnavigator #Ai #artificialIntelligence

#GUTENBRaiN is an AI-powered digital engineering interface developed by Axians and Leonard that allows organizations to manage efficiently technical information of large engineering assets, like power plants, substations, refineries or oil platforms. It was developed to tackle 3 main #operationalchallenges: ⚡Document Ingestion - The need to extract the embedded data in engineering files. A large scale project is composed of thousands of dispersed documents, from disparate sources and different file formats that ultimately need to comply with the project’s specifications. GUTENBRaiN can process large amounts of data from various file formats into a managed database. Additionally, these documents/files can include text, tabular data and technical drawings, sometimes stored in legacy formats. Since this is not directly usable, GUTENBRaiN employs industry-leading Vision AI to analyze the contents with high prediction accuracy. ⚡⚡Extracting Relevant Asset Characteristics From Files - To assist teams when performing multiple activities, GUTENBRaiN applies powerful pattern matching algorithms that can detect and extract all relevant assets from these files, to produce a valuable and readily accessible knowledge base that allows teams to quickly locate mission-critical information. ⚡⚡⚡Tackle the Complexity of Managing Multiple Changes and Updates in the Project Documentation - GUTENBRaiN can automatically reprocess any document that is updated and signal the changes between different revisions or versions of the same document. This allows teams to quickly understand variances and make more informed decisions when significant readjustments are detected, thus preventing potential costly business mistakes.

In the oil and gas industry, the perceived value of machine learning is undoubtedly high, but its application poses significant challenges. Here are four use cases for implementing machine learning and data analytics in order to benefit oil and gas production, and how you can expect a significant ROI --> https://lnkd.in/eJRJ2Y8M #oilandgas #machinelearning #production #dataanalytics

In the high-stakes world of oil and gas, where safety and operational complexities are constant, Computer Vision is a game-changer. This advanced technology is providing unparalleled clarity and control, enabling the industry to tackle its toughest problems more effectively.    ➡ Enhanced Safety and Compliance: Automated monitoring systems enforce strict safety protocols, reducing risks considerably.  ➡ Predictive Maintenance: Early detection helps identify potential failures early, reducing downtime and maintenance costs.  ➡ Optimized Operations: Real-time data analysis leads to more efficient processes and cost savings.    Curious to know how Computer Vision can optimize operations for your oil and gas business? Check out our blog, where we discuss its applications, benefits, and the practical improvements it can bring: https://lnkd.in/gp5nR2rx   #ComputerVisionApplicationsinOilandGas #ComputerVisionforOilandGasIndustry #VisionAI

📣 Asset Managers and Engineers working in Oil & Gas - This one's for you. 🔹 How do you currently manage asset performance across your sites? 🔹 What strategies are you using to optimise operating costs? 🔹 How are you ensuring that your assets are running efficiently and sustainably? 🔹 Are you fully leveraging the data you collect across your operations to drive asset performance? What if there was a way to... 🔸 Use machine learning to optimise processes 🔸 Leverage real-time data analysis to proactively detect issues 🔸 Access AI-driven models to help you better manage emissions and meet sustainability targets 🔸 Uncover cost-saving opportunities 🔸 Adjust/tune controller settings automatically 🔸 Have an advanced platform that enhances your decision-making and provide actionable insights There is. It's called SmartLift - the advanced AI-driven solution designed to optimise and decarbonise Oil & Gas operations. Watch the video below to learn more about this practical application of Industrial AI. **** Want to learn more about Smart Control Systems and SmartLift? Check out our Smart Control in Practice series here: https://lnkd.in/gdm8TDu4 **** #predictivemaintenance #industrialai #industrialengineering #engineering #industrialautomation #oilandgasindustry #oilandgas #controlsystems #machinelearning #ai

Discover how Machine Learning is transforming Oil & Gas! 🚀 Dive into Part 1 of new series, where we explore practical applications in engineering and construction management. Read more: https://lnkd.in/dcFx8K69 #MachineLearning #OilAndGas #DigitalTransformation"