Real-Time Fiber-Optic Coiled Tubing Delivered Well Intervention Savings Through Faster Decision-Making Process

2020 ◽  
Author(s):  
Marco Lerose ◽  
Luca Pelusi ◽  
Salvatore Spagnolo ◽  
Marco Scarso ◽  
Marco Colombo ◽  
...  
Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3592
Author(s):  
Naipeng Liu ◽  
Di Zhang ◽  
Hui Gao ◽  
Yule Hu ◽  
Longchen Duan

The accurate and frequent measurement of the drilling fluid’s rheological properties is essential for proper hydraulic management. It is also important for intelligent drilling, providing drilling fluid data to establish the optimization model of the rate of penetration. Appropriate drilling fluid properties can improve drilling efficiency and prevent accidents. However, the drilling fluid properties are mainly measured in the laboratory. This hinders the real-time optimization of drilling fluid performance and the decision-making process. If the drilling fluid’s properties cannot be detected and the decision-making process does not respond in time, the rate of penetration will slow, potentially causing accidents and serious economic losses. Therefore, it is important to measure the drilling fluid’s properties for drilling engineering in real time. This paper summarizes the real-time measurement methods for rheological properties. The main methods include the following four types: an online rotational Couette viscometer, pipe viscometer, mathematical and physical model or artificial intelligence model based on a Marsh funnel, and acoustic technology. This paper elaborates on the principle, advantages, limitations, and usage of each method. It prospects the real-time measurement of drilling fluid rheological properties and promotes the development of the real-time measurement of drilling rheological properties.


Author(s):  
Marisa Esteves ◽  
Filipe Miranda ◽  
António Abelha

In recent years, the increase of average waiting times in waiting lists is an issue that has been felt in health institutions. Thus, the implementation of new administrative measures to improve the management of these organizations may be required. Hereupon, the aim of this present work is to support the decision-making process in appointments and surgeries waiting lists in a hospital located in the north of Portugal, through a pervasive Business Intelligence platform that can be accessed anywhere and anytime by any device connected within the hospital's private network. By representing information that facilitate the analysis of information and knowledge extraction, the Web tool allows the identification in real-time of average waiting times outside the outlined patterns. Thereby, the developed platform permits their identification, enabling their further understanding in order to take the necessary measures. Thus, the main purpose is to enable the reduction of average waiting times through the analysis of information in order to, subsequently, ensure the satisfaction of patients.


2017 ◽  
Author(s):  
Ahmed. Duaij ◽  
Danish. Ahmed ◽  
Mohammad Arifin ◽  
Adzlan Ayob ◽  
Rodrigo Sa ◽  
...  

2011 ◽  
Author(s):  
Rodrigo Aviles ◽  
Jose G. Flores ◽  
Frederic Martin ◽  
Alan Diaz ◽  
Luis Eugenio Davila De Garate ◽  
...  

2010 ◽  
Vol 22 (6) ◽  
pp. 694-701 ◽  
Author(s):  
Andrei Furda ◽  
◽  
Ljubo Vlacic

This paper addresses the topic of real-time decision making by autonomous city vehicles. Beginning with an overview of the state of research, the paper presents the vehicle decision making & control system architecture, explains the subcomponents which are relevant for decision making (World Model and Driving Maneuver subsystem), and presents the decision making process. Experimental test results confirmthe suitability of the developed approach to deal with the complex real-world urban traffic.


2015 ◽  
Author(s):  
R. Saldeev ◽  
A. A. Al-Mulhim ◽  
M. A. Atwi ◽  
H. Al-Obaid ◽  
G. Brown ◽  
...  

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