E-commerce platform development for premium flooring brand
Subsea Safety Valve Leak Rate and Leak Fluid Identification for Environmental Safety
#Custom software development #Machine Learning Model Development #ML Ops #Dashboards & Analytics #Process and workflow automation #AWS #ML/AI
Project goals
Detect potential leakage and prevent it from happening.
Result
Reduced risk of safety equipment failure.
About the client
Multinational energy company that operates in all areas of the oil and gas industry, from exploration and production to refining, distribution, and marketing. The company operates in over 70 countries and is committed to providing reliable and sustainable energy solutions, focusing not only on traditional fossil fuels but also on renewable and low-carbon alternatives.Project goals
Interpretation of 3D Sonar data using Machine Learning to detect leakage through the safety valves Application of ML and AI techniques to detect gas leakage on surface facilities using thermal sensor data Detecting early signs of leakage in Subsurface Safety Valves through analysis of fluid flow and pressure data before a possible failure event Reducing operating costs by lowering the physical inspection rate of subsea and on-surface safety valvesKey challenge
Early Leakage Detection: Utilized AI and machine learning for early identification of leaks in Subsurface Safety Valves, mitigating equipment failure risk and reducing physical inspections.Operational Efficiency & Revenue Enhancement: Minimized non-productive time through predictive modeling and data analysis, optimizing operational efficiency and increasing revenue.
Environmental Conservation Commitment: Employed innovative solutions to swiftly identify and address potential leaks, safeguarding marine ecosystems and minimizing environmental impact.
Our solutions
3D Volumetric Sonar: Employed to capture comprehensive data of subsea conditions and identify early signs of leaks.Machine Learning & AI: Utilized for interpreting intricate 3D sonar data, enabling the development of predictive models for potential safety valve failures.
Data Analysis: Conducted comprehensive fluid flow and pressure data analysis to engineer indicators for the predictive model, enhancing the accuracy of early leakage detection.
Reduced Physical Inspections: The advanced system significantly lowered the frequency of physical inspections, contributing to operational efficiency and cost reduction.
Result
Reduced risk of safety equipment failure due to early detection of such possibilities. Increased revenue due to a decline in Non-Productive Time and operational costs. Decreased impact on the environment and the animal life at sea.
Industries
Energy
Technologies
AWS
ML/AI
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What our clients say
Bits Orchestra team are outstanding developers. They listen carefully to our business needs and easily turns our business objectives into a well thought out and executed development effort. Roman is very bright and definitely the most capable developer that has worked on our site. He is not only a Kentico expert but has successfully tackled other complicated development assignments demonstrating expertise in both front and backend development. Roman takes initiative to suggest enhancements that make site maintenance easier while improving the customer experience. The team is very responsive to our work requests and has great follow up. They have also worked very business partners and this has reflected positively on our company. Roman is a true partner for us and a tremendous asset to our organization. We will continue to work with them and would highly recommend Roman and his team for your development needs. He and his team will exceed your expectations!
Alan Lehmann
President at In energy sector
What our clients say
The Bits Orchestra team does excellent work. They are always available and I appreciate our frequent calls and screen-shares together. Their dedication to the projects and knowledge of Kentico is outstanding. They truly care about the quality of their work, and became a part of our team easily!
Shena Lowe
Managing Partner at Consensus Interactive
What our clients say
We hired Roman for a Kentico analysis project and have been very satisfied. He is very skilled and professional. We are looking to hire him and his team again on future projects.
Sylvain Audet
CEO at MyDevPartner.com
What our clients say
Roman and team have taken over an existing Kentico EMS site for a large US Oil Company. So far, they have handled every single request that we have thrown at them and these were diverse, challenging, often bespoke, usually urgent and almost daily, over the last 11 months. Their work is of an extremely high quality, they are capable, quick and we have great confidence in the support that we are getting.
Jon Hollis
Head of Web Development at confidential
What our clients say
Bits Orchestra team was very helpful, they had a good understanding of the brief and deep knowledge of the system. They were always keen to provide advice and recommendations that benefit the project substantially.
Ramon Lapenta
Senior Front End Developer at Cyber-Duck Ltd