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    Design of a Ultrasonic system for a Multi-purpose Production Logging Tool (PLT)

    , M.Sc. Thesis Sharif University of Technology Hassannejad, Masoud (Author) ; Movahhedian Attar, Hamid (Supervisor)
    Abstract
    In the oil industry, a better understanding of the well condition leads to improve the management and increase the oil production. Production logging tools is a set of tools for measuring different parameters such as density, diameter and flow in oil and gas wells. These tools are considered among high-tech tools in the oil industry. The reason is that they should work in harsh conditions, i.e. high temperature about 170 ° C and pressure around 15000 psi, and at the same time give an accurate measurement of the quantity. Current production-logging tools measure the fluid velocity and the diameter of an oil well by individual mechanical tools, and the density by a radioactive densitometer. ... 

    Prediction of downhole flow regimes in deviated horizontal wells for production log interpretation

    , Article Society of Petroleum Engineers - Trinidad and Tobago Energy Resources Conference 2010, SPE TT 2010, 27 June 2010 through 30 June 2010 ; Volume 2 , June , 2010 , Pages 525-530 ; 9781617388859 (ISBN) Bahrami, H ; Hosseinian, A ; Rasouli, V ; Siavoshi, J ; Mirabolghasemi, M ; Sinanan, B ; Bagherian, B ; Sharif University of Technology
    2010
    Abstract
    Production logging is used to evaluate wells production performance. Interpretation of production log data provides velocity profile and contribution of each zone on total production. In multi-phase flow conditions, production log interpretation can be challenging since producing fluids do not have similar densities and travel with different speed depending on fluids properties and wellbore deviation. Production log interpretation in multi-phase producing wells requires identifying downhole flow regimes and determining velocity profile for each phase. There are different flow regimes and velocity models available, which are being used in production log interpretation to determine wells flow... 

    Prediction of waterflood performance using a modified capacitance-resistance model: A proxy with a time-correlated model error

    , Article Journal of Petroleum Science and Engineering ; Volume 198 , March , 2020 Mamghaderi, A ; Aminshahidy, B ; Bazargan, H ; Sharif University of Technology
    Elsevier B. V  2020
    Abstract
    Capacitance-Resistive Model (CRM), as a fast yet efficient proxy model, suffers from some limitations in modeling relatively complex reservoirs. Some current improvements on this proxy made it a more powerful simulator with updating parameters over time. However, the model's intrinsic uncertainty arisen from simplifying fluid-flow modeling by some limited number of constant parameters is not addressed yet. In this study, this structural limitation of CRM has been addressed by introducing a time-correlated model error, including stochastic and non-stochastic parameters, embedded into this proxy's formulation. The error term's non-stochastic parameters have been tuned to be used in forecasting... 

    Prediction of waterflood performance using a modified capacitance-resistance model: A proxy with a time-correlated model error

    , Article Journal of Petroleum Science and Engineering ; Volume 198 , 2021 ; 09204105 (ISSN) Mamghaderi, A ; Aminshahidy, B ; Bazargan, H ; Sharif University of Technology
    Elsevier B.V  2021
    Abstract
    Capacitance-Resistive Model (CRM), as a fast yet efficient proxy model, suffers from some limitations in modeling relatively complex reservoirs. Some current improvements on this proxy made it a more powerful simulator with updating parameters over time. However, the model's intrinsic uncertainty arisen from simplifying fluid-flow modeling by some limited number of constant parameters is not addressed yet. In this study, this structural limitation of CRM has been addressed by introducing a time-correlated model error, including stochastic and non-stochastic parameters, embedded into this proxy's formulation. The error term's non-stochastic parameters have been tuned to be used in forecasting...