Mechanical & Industrial Engineering: Recent submissions
Now showing items 221-240 of 1508
-
Digital twin in energy industry: Proposed robust digital twin for power plant and other complex capital-intensive large engineering systems
( Elsevier , 2022 , Article Review)The complex future power plants require digital twin (DT) architecture to achieve high reliability, availability and maintainability at lower cost. The available research on DT for power plants is limited and lacks details ... -
Single and multiphase flow leak detection in onshore/offshore pipelines and subsurface sequestration sites: An overview
( Elsevier , 2024 , Article)Leaks may occur in existing pipelines, even when designed with quality construction and appropriate regulations. The economic impact of oil spills and natural gas dispersion from leaks can be huge. Failure to detect pipeline ... -
Performance analysis of various machine learning algorithms for CO2 leak prediction and characterization in geo-sequestration injection wells
( Elsevier , 2024 , Article)The effective detection and prevention of CO2 leakage in active injection wells are paramount for safe carbon capture and storage (CCS) initiatives. This study assesses five fundamental machine learning algorithms, namely, ... -
Performance investigation of solar photovoltaic panels using mist nozzles cooling system
( Taylor and Francis Ltd. , 2024 , Article)Solar PV has a disadvantage over its many advantages that its electrical efficiency falls due to rise in surface/operating temperature of solar PV cells. Therefore, it is necessary to find a way to mitigate the efficiency ... -
Horizontal Two-Phase Flow Regime Identification with Machine Learning Classification Models
( International Petroleum Technology Conference (IPTC) , 2022 , Conference)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 ... -
Application of Machine Learning Classification Algorithms for Two-Phase Gas-Liquid Flow Regime Identification
( Society of Petroleum Engineers , 2021 , Conference)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)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 ... -
Experimental Investigation of Early Leak Detection in Offshore Multiphase Flow Pipelines Using Non-Invasive Electrical Resistance Tomography
( Society of Petroleum Engineers , 2024 , Conference)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 ... -
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)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 ... -
Towards a Resilient Organization: Lessons Learned from the Oil and Gas Sector in Qatar
( MDPI , 2024 , Article)Organizational resilience indicates the capacity of an organization or a system to return to its steady condition, or exceed it, after going through a disruptive event that disrupts its steady condition. Qatar's oil and ... -
Innovation-Based Strategic Roadmap for Economic Sustainability and Diversity in Hydrocarbon-Driven Economies: The Qatar Perspective
( MDPI , 2024 , Article)This research addresses the critical opportunities and challenges confronting economic sustainability for hydrocarbon-based economies. The primary objective is to advocate for a transformative shift towards diversified and ... -
Innovation Ecosystems in Hydrocarbon-Based Economies: Opportunities and Challenges
( MDPI , 2023 , Article Review)Innovation is rapidly growing and affecting various industries, including hydrocarbon processing. This study aims to conduct a comprehensive and organized review of the literature on innovation ecosystems and their performance ... -
Improved exosome isolation methods from non-small lung cancer cells (NC1975) and their characterization using morphological and surface protein biomarker methods
( Springer Science and Business Media Deutschland GmbH , 2023 , Article)This study has demonstrated improved methods for isolating exosomes from non-small lung cancer cells, which address the problems characterized by exosome morphological and chemical methods. To improve the isolation methods, ... -
Composite Plastic Hybrid for Automotive Front Bumper Beam
( MDPI , 2023 , Article)The bumper beam is a crucial component of the automobile bumper system, responsible for absorbing impact energy and enhancing the safety of passengers during collisions. This paper presents the design and experimental ... -
Business Process Re-Engineering: A Literature Review-Based Analysis of Implementation Measures
( MDPI , 2022 , Article)Business process re-engineering (BPR) is an approach to improving organizational performance. It evolved mostly within the private sector to maintain a successful business model despite increasing global competition. BPR ... -
How eco-efficient are electric vehicles across Europe? A regionalized life cycle assessment-based eco-efficiency analysis
( John Wiley and Sons Ltd , 2021 , Article)Sustainable transportation is at the hearth of the United Nation's Sustainable Development Goals (SDGs) and is directly linked to many SDGs including SDG3 (good health and well-being), SDG11 (sustainable cities and societies), ... -
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 ... -
Monitoring of simple linear quality profiles using dEWMA statistic under uncertainty of process deviations
( IEOM Society , 2019 , Conference)The quality of process or product is often characterized by the univariate or multivariate distribution of quality characteristics. The linear profiles are widely used to model the relationship between dependent and ... -
Modeling the Relationship between Business Process Reengineering and Organizational Culture
( MDPI , 2022 , Article)Business process reengineering (BPR) has been widely known for its effectiveness in generating chances for organizational improvement. Understanding and modeling the relationship between the factors that contribute to the ...
