RBW January 2025 | Page 12

A real-time generated paired adaptive model along with an AI for changing subsurface conditions is what these systems , developed by organizations like Schlumberger . In addition , it makes the operation itself minimize its environmental footprint through optimized usage of resources and reduced emissions through inefficiencies .
Digital twin technology has also gained momentum as such in the oil and gas sector with regard to real-time monitoring and decision-making . A digital twin is a virtual dual of a physical asset or process , which allows operators to model scenarios for simulation and impact scenarios based on different variables . In jack-up rigs , a digital twin would help engineers to model equipment performance , run emergency protocols , and optimize energy consumption , but 12 would not interrupt ongoing operations . Maersk Drilling has done a good job in offshore drilling by using digital twins to monitor their rigs ’ energy consumption and integrity . These virtual twins provide actionable insights for reducing downtime , ensuring safety , and minimizing greenhouse gases by linking IoT sensors to AI analytics .
It is IoT that enables these technologies , creating a cosmos of interconnected machines that mostly receive and send data continuously . Smart sensors located within the equipment on rigs , pipelines , and storage capture real-time metrics , such as temperature , pressure , and vibration . These data points are analyzed for evident patched-up efficiencies or risks . Halliburton has pioneered IoT solutions for offshore rigs , equipping their platforms with sensors that monitor energy consumption and environmental impact . By tracking these metrics , the company has been able to optimize resource usage and align its operations with stringent environmental regulations .
AI algorithms , in tandem with carbon capture and storage ( CCS ) technologies , are supporting the companies in answering the call to greenhouse gas emissions . CCS is now installed on all the North Sea rigs of Equinor , which now conduct live monitoring of COâ‚‚ capture rate and storage integrity . AI prediction and mitigation of leakages also provide assurance in long-run reliance . There are now predictive models that assess and manage environmental risks related to oil and gas activities , particularly in extreme weather-related parts of the world . Such models of prediction are helping organizations plan their operations in a way that avoids negative impacts on the safety of people and marine ecosystems .
Virtual reality and augmented reality are also being employed to train employees performing complicated tasks in extreme preparedness and likelihood of an accident . This is taking place in line with the industry ’ s forward thrust towards sustainability and regulatory compliance . Companies that develop and utilize these predictive technologies , combined with their use of AI and IoT capabilities , further meet regulations and gain competition for being viewed as serious about environmental stewardship . Shell has used AI and IoT as part of its Sustainable Retrofit Initiative to run down its carbon footprint while also extending the working life of its assets further .
These include great benefits in the long run , such as better efficiency , lower environmental impacts , and greater safety than the costs . The major decision-makers acting as benchmarks for the industry in harnessing these technologies to solve the problems brought about by modern energy production technologies include Baker Hughes , Schlumberger , Halliburton , Maersk Drilling , Equinor , and Transocean . stry in harnessing these technologies to solve the problems brought about by modern energy production technologies include Baker Hughes , Schlumberger , Halliburton , Maersk Drilling , Equinor , and Transocean .

MAINTAINING ASSETS THROUGH AIM

Asset Integrity Management ( AIM ) plays a central role in industries such as oil and gas , petrochemicals , power generation , and offshore drilling . The primary goal of AIM is to ensure the safety , reliability , and efficiency of assets throughout their lifecycle , from design and construction to operation , maintenance , and decommissioning . AIM is remarkably located in all environments where assets are pushed to the limit , such as offshore rigs , pipelines , and processing facil-
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