YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    Search 
    •   YE&T Library
    • Search
    •   YE&T Library
    • Search
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Search

    Show Advanced FiltersHide Advanced Filters

    Filters

    Use filters to refine the search results.

    Now showing items 1-5 of 5

    • Relevance
    • Title Asc
    • Title Desc
    • Year Asc
    • Year Desc
    • 5
    • 10
    • 20
    • 40
    • 60
    • 80
    • 100
  • Export
    • CSV
    • RIS
    • Sort Options:
    • Relevance
    • Title Asc
    • Title Desc
    • Issue Date Asc
    • Issue Date Desc
    • Results Per Page:
    • 5
    • 10
    • 20
    • 40
    • 60
    • 80
    • 100

    Evaluating the Effectiveness of Machine Learning Technologies in Improving Real-Time Drilling Data Quality 

    Source: Journal of Energy Resources Technology:;2022:;volume( 144 ):;issue: 009:;page 93002-1
    Author(s): Al-Gharbi, Salem; Al-Majed, Abdulaziz; Elkatatny, Salaheldin; Abdulraheem, Abdulazeez
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Due to high demand for energy, oil and gas companies started to drill wells in remote environments conducting unconventional operations. In order to maintain safe, fast, and more cost-effective operations, utilizing machine ...
    Request PDF

    Statistical Methods to Improve the Quality of Real-Time Drilling Data 

    Source: Journal of Energy Resources Technology:;2022:;volume( 144 ):;issue: 009:;page 93006-1
    Author(s): Al-Gharbi, Salem; Al-Majed, Abdulaziz; Abdulraheem, Abdulazeez; Tariq, Zeeshan; Mahmoud, Mohamed
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The age of easy oil is ending, and the industry started drilling in remote unconventional conditions. To help produce safer, faster, and most effective operations, the utilization of artificial intelligence and machine ...
    Request PDF

    Adaptive and Real-Time Optimal Control of Stick–Slip and Bit Wear in Autonomous Rotary Steerable Drilling 

    Source: Journal of Energy Resources Technology:;2018:;volume 140:;issue 003:;page 32908
    Author(s): Kamel, Mahmoud A.; Elkatatny, Salaheldin; Mysorewala, Muhammad Faizan; Al-Majed, Abdulaziz; Elshafei, Moustafa
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Deviated, horizontal, and multilateral wells are drilled to increase the contact area between the well path and the reservoir and as a result, the well productivity will be increased. Directional steering systems (DSS) are ...
    Request PDF

    A Robust Rate of Penetration Model for Carbonate Formation 

    Source: Journal of Energy Resources Technology:;2019:;volume( 141 ):;issue: 004:;page 42903
    Author(s): Al-AbdulJabbar, Ahmad; Elkatatny, Salaheldin; Mahmoud, Mohamed; Abdelgawad, Khaled; Al-Majed, Abdulaziz
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: During the drilling operations, optimizing the rate of penetration (ROP) is very crucial, because it can significantly reduce the overall cost of the drilling process. ROP is defined as the speed at which the drill bit ...
    Request PDF

    New Treatment for Improving the Productivity of Shale Reservoirs Using Thermochemical Fluids 

    Source: Journal of Energy Resources Technology:;2020:;volume( 143 ):;issue: 008:;page 083003-1
    Author(s): Hassan, Amjed; Mahmoud, Mohamed; Al-Majed, Abdulaziz; Alade, Olalekan; Mokheimer, Esmail M. A.; Al-Nakhli, Ayman
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Shale reservoirs are characterized with very low productivity due to the high capillary pressure and the ultra-low rock permeability. This article presents an effective treatment to improve the hydrocarbon productivity for ...
    Request PDF
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     

    Author

    ... View More

    Publisher

    Year

    Type

    Content Type

    Publication Title

    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian