Browsing Research Units by Subject "machine learning"
Now showing items 1-9 of 9
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A mechanistic gas kick model to simulate gas in a riser with water and synthetic-based drilling fluid
( Society of Petroleum Engineers , 2020 , Conference Paper)This paper presents a simple mechanistic model to describe a gas kick in a drilling riser with water- based mud (WBM) and synthetic-based mud (SBM). This model can estimate key kick parameters such as the change in the ... -
A reservoir bubble point pressure prediction model using the Adaptive Neuro-Fuzzy Inference System (ANFIS) technique with trend analysis
( Public Library of Science , 2022 , Article)The bubble point pressure (Pb) could be obtained from pressure-volume-temperature (PVT) measurements; nonetheless, these measurements have drawbacks such as time, cost, and difficulties associated with conducting experiments ... -
Autoimmune Diseases of the GI Tract Part II: Emergence of Diagnostic Tools and Treatments
( IntechOpen , 2022 , Book chapter)Autoimmune diseases (AD) have emerged as a pandemic in our modern societies, especially after the World War II. In part I, we have reviewed five main diseases and shed light on different aspects from introducing the concept ... -
Continuous monitoring of power consumption in urban buildings based on Internet of Things
( Taylor and Francis Ltd. , 2021 , Article)Buildings consume a large portion of energy; the major consumption is due to improper use of electrical equipment. Thus, energy efficiency in buildings has become a priority at every level within the building. Previous ... -
Inpatient Discharges Forecasting for Singapore Hospitals by Machine Learning
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Hospitals can predetermine the admission rate and facilitate resource allocation based on valid emergency requests and bed capacity estimation. The excess unoccupied beds can be determined with the help of forecasting the ... -
Intrusion Detection System for Healthcare Systems Using Medical and Network Data: A Comparison Study
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Introducing IoT systems to healthcare applications has made it possible to remotely monitor patients' information and provide proper diagnostics whenever needed. However, providing high-security features that guarantee the ... -
Predicting carbonate formation permeability using machine learning
( Elsevier B.V. , 2020 , Article)It is imperative to characterize the formation permeability to simulate the flow behavior at subsurface conditions. An accurate characterization at the core scale is possible when large samples are available, but often ... -
Prediction of critical total drawdown in sand production from gas wells: Machine learning approach
( John Wiley and Sons Inc , 2023 , Article)Sand production is a critical issue in petroleum wells. The critical total drawdown (CTD) is an essential indicator of the onset of sand production. Although some models are available for CTD prediction, most of them are ... -
Sense and Learn: Recent Advances in Wearable Sensing and Machine Learning for Blood Glucose Monitoring and Trend-Detection
( Frontiers Media S.A. , 2022 , Article)(Figure presented.) Diabetes mellitus is characterized by elevated blood glucose levels, however patients with diabetes may also develop hypoglycemia due to treatment. There is an increasing demand for non-invasive blood ...