Search Results - (( refinery operation using algorithm ) OR ( java application optimisation algorithm ))

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  1. 1
    Study and Implementation of Data Mining in Urban Gardening

    Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

    Published 2019
    “…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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  2. 2
    Prediction of Remaining Useful Life (RUL) in Refinery using Deep Learning

    Prediction of Remaining Useful Life (RUL) in Refinery using Deep Learning by Baharadin, Hazirah

    Published 2019
    “…The purpose of this project is to develop a predictive analysis system of Remaining Useful Life (RUL) in refinery. It will significantly help the oil and gas industry to schedule a replacement or maintenance before the machines end its operation. …”
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    Final Year Project
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  3. 3
    Optimization of Upstream Offshore Oilfield Production Planning under Uncertainty and Downstream Crude Oil Scheduling at Refinery Front-End

    Optimization of Upstream Offshore Oilfield Production Planning under Uncertainty and Downstream Crude Oil Scheduling at Refinery Front-End by Tan Yin Keong, Tan Yin

    Published 2012
    “…The second part is on the scheduling of crude oil operations at a refinery front-end. A technique for obtaining globally optimal schedules for the flow of crude is developed. …”
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  4. 4
    Petroleum Refinery Planning Under Uncertainty: A Multiobjective Optimization Approach with Economic and Operational Risk Management

    Petroleum Refinery Planning Under Uncertainty: A Multiobjective Optimization Approach with Economic and Operational Risk Management by Van Fu Shen, Fu Shen

    Published 2009
    “…With optimization, refinery will be able to operate at optimal condition. …”
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  5. 5
    Petroleum Refinery Planning Under Uncertainty: A Multiobjective Optimization Approach with Economic and Operational Risk Management

    Petroleum Refinery Planning Under Uncertainty: A Multiobjective Optimization Approach with Economic and Operational Risk Management by Van, Fu Shen

    Published 2009
    “…With optimization, refinery will be able to operate at optimal condition. …”
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  6. 6
    elopment of Neural Network Model for Predicting Crucial Product Properties or Yield for Optimisation of Refinery Operation

    elopment of Neural Network Model for Predicting Crucial Product Properties or Yield for Optimisation of Refinery Operation by Mohamad, Sharliza

    Published 2005
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  7. 7
    Optimization of Upstream Offshore Oilfield Production Planning under Uncertainty and Downstream Crude Oil Scheduling at Refinery Front-End

    Optimization of Upstream Offshore Oilfield Production Planning under Uncertainty and Downstream Crude Oil Scheduling at Refinery Front-End by Tan , Yin Keong

    Published 2009
    “…In this work, we have attempted to solve two problems concerning the planning and scheduling of crude oil operations: first, on the upstream production planning of crude oil from offshore sources and second, on the scheduling of downstream processing of crude oil at the refinery front-end. …”
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  8. 8
    Thermal and hydraulic impacts consideration in refinery crude preheat train cleaning scheduling using recent stochastic optimization methods

    Thermal and hydraulic impacts consideration in refinery crude preheat train cleaning scheduling using recent stochastic optimization methods by Biyanto, T.R., Ramasamy, M., Jameran, A.B., Fibrianto, H.Y.

    Published 2016
    “…Optimizations were performed over an operating period of 44Â months following crude slate variations and operating conditions of the refinery. …”
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  9. 9
    DRIFT ANALYSIS ON NEURAL NETWORK MODEL OF HEAT EXCHANGER FOULING

    DRIFT ANALYSIS ON NEURAL NETWORK MODEL OF HEAT EXCHANGER FOULING by M., Ramasamy, A., Shahid, H., Zabiri

    Published 2008
    “…A heat exchanger in a refinery Crude Preheat Train (CPT) has been used as a case study. …”
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  10. 10
    Web-based expert system for material selection of natural fiber- reinforced polymer composites

    Web-based expert system for material selection of natural fiber- reinforced polymer composites by Ahmed Ali, Basheer Ahmed

    Published 2015
    “…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
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  11. 11
    Securing IEC60870-5-101 Communication Protocol using SCADA Cryptographic and Device Authentication Gateway

    Securing IEC60870-5-101 Communication Protocol using SCADA Cryptographic and Device Authentication Gateway by Qassim Q.S., Jamil N., Mahdi M.N., Ahmad Zawawi M.N., Jamaludin M.Z., Jidin R., Rusli M.E.

    Published 2023
    Conference Paper
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  12. 12
    Development of cost reduction mathematical model for natural gas transmission network system

    Development of cost reduction mathematical model for natural gas transmission network system by Mehrdad, Nikbakht Eliaderany

    Published 2012
    “…In addition, a multi-echelon supply chain was designed for NGTSs named Natural Gas Transmission Network Supply Chain (NGTSC). It was used for integrating the operational parts of the natural gas industry for transmitting gas through pipelines and better coordination for the flow of gas and information in the system. …”
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  13. 13
    Methane plume localization with enhanced self-best reduction and Gaussian improved particle swarm optimization (GiPSO)

    Methane plume localization with enhanced self-best reduction and Gaussian improved particle swarm optimization (GiPSO) by Liew, Jia Hun

    Published 2024
    “…Z-axis coefficient Clamping provides safety and reduction of drone swarm controlled by GiPSO risk, with the physical collision with the petroleum refinery exhaust. Finally, the third question of our research is how the gas leakage detection algorithm’s performance can be improved when the drone population is low. …”
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