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Now showing items 5911-5920 of 5920
Phase-I monitoring of high-dimensional covariance matrix using an adaptive thresholding LASSO rule
(
Elsevier
, 2020 , Article)
High-dimensional variability monitoring and diagnosing is of great prominence for the quality improvement and cost reduction. Most of the existing control charts are mainly based on the assumption that the in-control ...
Modeling the Impact of Weather Conditions on Pedestrian Injury Counts Using LASSO-Based Poisson Model
(
Springer Science and Business Media Deutschland GmbH
, 2021 , Article)
Statistical models for measuring the impact of adverse weather conditions on pedestrian injuries are of great importance for enhancing road safety measures. The development of these models in the presence of high collinearity ...
Application of Machine Learning Classification Algorithms for Two-Phase Gas-Liquid Flow Regime Identification
(
Society of Petroleum Engineers
, 2021 , Conference Paper)
This research aims to identify the best machine learning (ML) classification techniques for classifying the flow regimes in vertical gas-liquid two-phase flow. Two-phase flow regime identification is crucial for many ...
Development of a Mechanistic and Data-Driven Model for Multiphase Flow Leak Detection in Pipeline
(
International Petroleum Technology Conference (IPTC)
, 2024 , Conference Paper)
Prompt and reliable detection of pipeline leaks is vital for human safety, the economy, the environment, and corporate reputation. However, a simple mechanistic model for accurately predicting leak characteristics in ...
Horizontal Two-Phase Flow Regime Identification with Machine Learning Classification Models
(
International Petroleum Technology Conference (IPTC)
, 2022 , Conference Paper)
This paper presents a follow-up study to Manikonda et al. (2021), which identified the best machine learning (ML) models for classifying the flow regimes in vertical gas-liquid two-phase flow. This paper replicates their ...
Enhancing Safety in Geological Carbon Sequestration: Supervised Machine Learning for Early Detection and Mitigation of CO2 Leakage in Injection Wells
(
International Petroleum Technology Conference (IPTC)
, 2024 , Conference Paper)
The efficient and safe operation of CO2 injection wells during geological sequestration is crucial for successful carbon capture and storage (CCS) projects. This study explores the application of machine learning in creating ...
Experimental analysis of water evaporation losses in cooling towers using filters
(
Elsevier
, 2020 , Article)
Water evaporation losses in cooling towers account for considerable amount of fresh water consumption, which calls for proven and economically viable technologies to address this problem. The use of filters mounted on to ...
Experimental Investigation of Early Leak Detection in Offshore Multiphase Flow Pipelines Using Non-Invasive Electrical Resistance Tomography
(
Society of Petroleum Engineers
, 2024 , Conference Paper)
Prompt and reliable detection of pipeline leaks is vital for human safety, the economy, the environment, and corporate reputation. The objective of the current analysis is to investigate the effectiveness of noninvasive ...
Turbulence modeling using Z-F, RSM, LES and WMLES for flow analysis in Z-Shape ducts
(
American Society of Mechanical Engineers (ASME)
, 2020 , Conference Paper)
Turbulent flow in Z-shape duct configuration is investigated and analyzed using Reynolds Stress Model (RSM), Large Eddy Simulation (LES), ζ-f Model, and Wall-Modeled Large Eddy Simulation (WMLES). The results are validated ...
Combined heat and power system based on Solid Oxide Fuel Cells for low energy commercial buildings in Qatar
(
Elsevier
, 2021 , Article)
Commercial buildings in Qatar account for 19% of the total energy consumption in the country. To reduce this significant amount of energy, a Solid Oxide Fuel Cell Combined Heat and Power (SOFC CHP) system with natural gas ...