Big Data-Powered Machine Learning for Operational Excellence: A Case Study Analysis for Oil & Gas
Abstract Drilling and workover operations represent a crucial part of a well lifecycle in terms of deliverability and economics....
Statistical Machine Learning for Intelligent Operations
Abstract Digitalisation in its various shapes of artificial intelligence, machine learning or big data analytics is slated to add...
How To Accelerate Intelligent Automation Adoption In The Oil And Gas Industry?
With assets that are often located in remote and hostile environments, it is essential to have reliable and efficient methods for...
Future-Proofing Asset Management With Predictive Maintenance
Predictive maintenance is an important tool that can help oil and gas conglomerates to improve asset reliability, reduce costs, and...
SIL calculation software – An overall introduction to standards and concepts by Cenosco
Why is SIL calculation software essential? Safety Integrity Level indicates the degree of risk reduction. Learn more about the importance...
Shell announces roll out of 2,500 vibration sensors by TWTG
A joint speech reveals the NEON Vibration Sensor roll-out. Rotterdam, 30th May 2022. TWTG, the I-IoT hardware company based in Rotterdam,...
Total Energies Eliminates Downtime using vibration sensors by TWTG
Leveraging advanced FFT data gathered by wireless sensors to make continuous monitoring economically feasible. TotalEnergies is one of...
Digitising Industrial Sites: LoRaWAN and WirelessHART from TWTG
A whitepaper outlining the pros and cons of the available protocols for industrial networks LoRaWAN sensors in an industrial site When we...
How are businesses eliminating siloed operations through RPA?
Studies have shown that Fortune 500 companies lose an average of $31.5 billion per year due to the failure of sharing knowledge across...
Identifying unrealized market potential using Robotic Process Automation
Business leaders are well acquainted with RPA and are aware of the several benefits that automation could bring. From cutting down costs...
Transforming Robotic Process Automation with AI and ML
By combining the capabilities of robotic process automation with artificial intelligence, it is possible to transform regular robotic...
The futuristic customer-led model powered by digital twins
AI and automation form the backbone of digital twins. By feeding the digital twin with data, enterprises can test the physical...
Re-imagining future product development with intelligent automation and digital twins
Enterprises must leverage intelligent automation and AI to fuel digital twins with modelling and data to reshape the future of the...
Why should oil and gas enterprises embrace the digital twin technology?
Globally, leading oil and gas companies are strengthening their frameworks to increase resilience and agility, by leveraging automation....
53% growth of intelligent automation in the oil and gas industry
The majority of oil and gas companies globally are distressed with their current manual operating systems. Businesses are implementing...
3 stages of an enterprise automation program lifecycle
There are clear guidelines that help companies prepare for their automation projects and leverage sustainable competitive advantage by...
5 challenges when automating and unifying your digital ecosystem
There are five key challenges businesses leaders face when automating and unifying their digital ecosystem. 1. Lack of structured data At...
5 questions to ask before commencing your automation journey
Leading enterprises worldwide are moving their value chains towards an automated system. However, the progress of all automation...
How to build enterprise resilience through intelligence automation
According to current research, organisations will spend $2.4 billion on RPA and IA transformation in 2022. As hyper-automation and...
4 ways RPA and BPM are relationally valuable to optimise CX
RPA systems represent an incredible tool for rapidly revitalizing companies that handle massive data transactions, to energise CX.