Automation Lifecycle Management – A Key for Sustained Value

Ronquillo, Nahum; Myers, N. A.; Tangstad, Kristian

doi:10.4043/31950-ms

Cited by 2 publications

(2 citation statements)

References 3 publications

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“…It represents an unprecedented shift towards better access to quality care, particularly for patients living with chronic diseases. 6 Digital health includes mobile health (m-health), the use of wearable devices, telehealth, health information technology, and telemedicine. 7 Digital Health Interventions (DHIs) have been increasingly seen as relevant solutions for self-education and care management of patients suffering from chronic diseases, especially in low-and middle-income countries (LMIC).…”

Section: Introductionmentioning

confidence: 99%

“…Digital health refers to the use of technology‐enabled solutions for care delivery, disease management, and promoting wellness. It represents an unprecedented shift towards better access to quality care, particularly for patients living with chronic diseases 6 . Digital health includes mobile health (m‐health), the use of wearable devices, telehealth, health information technology, and telemedicine 7 .…”

Section: Introductionmentioning

confidence: 99%

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Design, development and usability of an educational AI chatbot for People with Haemophilia in Senegal

et al. 2023

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Introduction: Gaps in the disease knowledge of People with Haemophilia (PWH) in Senegal are important barriers to the effective management of haemophilia. Digital health systems for chronic diseases in low-and middle-income countries are suggested to improve education and self-management. Artificial Intelligence (AI) chatbots could improve knowledge and support symptom monitoring. Aim: Development process and usability testing of an AI chatbot to assess its future adoption in Senegal.Methods: An AI chatbot prototype was designed based on a multilingual conversational engine using Natural Language Processing. A sequential mixed method was used including a co-creative design process with a task force made up of PWH and medical doctors. Usability was assessed through the System Usability Scale (SUS) questionnaire.Results: An AI chatbot in French and Wolof, named Saytù Hemophilie, was developed for Android and Apple iOS devices. It was assessed as a very usable system with a SUS score of 81.7, above average. 42% would prefer to use the Wolof version even if they were very satisfied with the French version. The level of Wolof in the app did not always correspond to users' levels. Participants praised its accessibility and reliability, and its ability to enhance self-learning.Conclusions: Findings suggest that a culturally adapted digital conversational agent is likely to be used by PWH in Senegal and their families to improve education and self-management of haemophilia. Relevance and impact are foreseen for other communities in Africa and beyond.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Design, development and usability of an educational AI chatbot for People with Haemophilia in Senegal

et al. 2023

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Step Change in Drilling Performance Through Surface Automation in Onshore Abu Dhabi

Hamlawi

Creegan²,

Ronquillo³

et al. 2022

Day 2 Tue, November 01, 2022

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The process of drilling an oil or gas well is inherently challenging due to the unpredictable nature of many of the variables at play. However, the overall process can be broken down into many smaller phases, each of which has a signature of repeatability. By automating the repeatable processes, and by optimizing the inputs that are a function of variable conditions, we can industrialize the drilling process at a higher level and drive toward consistent, high performance. Improving operational inefficiency requires long-term training or special tools to help address downhole issues. This can be costly and requires many man hours. In the pilot reviewed in this paper, a Surface Automation Solution was implemented to improve well construction performance. The Surface Automation Solution was comprised of a Drilling Automation Platform (DAP), a real-time Intelligent Drilling Optimizer (IDO), an automated stick slip mitigation system, and Automation Lifecycle Management (ALM) supporting services. The Surface Automation Solution showed extraordinary performance, delivering efficient drilling connections, optimum drilling performance and mitigating drilling dysfunction. New records were achieved in every hole section where the system was operated, resulting in 51% overall ROP improvement compared to offsets, and 44% reduction in stick slip severity, translating to 3.2 rig days savings. In this paper, we will examine how the Surface Automation Solution saves well delivery time by automating drilling activities, mitigating drilling dysfunctions and optimizing parameters to increase ROP on each section. The outcome is measured by the performance, which in this case is time saved. The data shown is the overall macro key performance indicator (KPI) along with the performance at each individual hole section.

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Automation Lifecycle Management – A Key for Sustained Value

Cited by 2 publications

References 3 publications

Design, development and usability of an educational AI chatbot for People with Haemophilia in Senegal

Design, development and usability of an educational AI chatbot for People with Haemophilia in Senegal

Step Change in Drilling Performance Through Surface Automation in Onshore Abu Dhabi

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