Title of article :
Improving Petrophysical Interpretation of Conventional Log ‎by Determination of Real Bed Boundaries
Author/Authors :
Khoshbakht، F. نويسنده Institute of Petroleum Engineering, School of Chemical Engineering, Colleague of Engineering,‎ University of Tehran, Tehran, Islamic Republic of Iran ‎ Khoshbakht, F. , Rasaie، M. R. نويسنده Institute of Petroleum Engineering, School of Chemical Engineering, Colleague of Engineering,‎ University of Tehran, Tehran, Islamic Republic of Iran ‎ Rasaie, M. R. , Shekarifard، A. نويسنده Institute of Petroleum Engineering, College of Engineering, Tehran University, Tehran, Islamic Republic of Iran ,
Issue Information :
فصلنامه با شماره پیاپی 0 سال 2017
Pages :
8
From page :
147
To page :
154
Abstract :
Proper determination of bed boundaries in layered reservoirs is vital ‎for accurate petrophysical interpretation of conventional logs. In the ‎wellbore, logs continuously measure physical properties of reservoir ‎while the properties change stepwise. This continuous representation ‎of logs may lead to ignorance of some high potential reservoir zones. ‎The main reasons for continuous nature of logs in laminated reservoirs ‎are the influence of shoulder beds on the reading of logging tools and ‎low vertical resolution of these devices.‎In this paper we optimized a Laplacian filter to detect bed boundaries ‎in conventional well logs. These blocking-based boundaries are ‎validated with FMI derived bed boundaries. Then the calculated ‎petrophysical properties including porosity and volume of minerals ‎and fluids are distributed into the detected beds. Comparison of ‎petrophysical interpretation of logs based on blocking and FMI ‎derived bedding showed that the petrophysical properties realistically ‎distributed into beds in layered reservoirs with the blocking technique. ‎The results also showed that blocking reduces the uncertainties, ‎because it realistically distribute the petrophysical properties inside real ‎geological beds and alter the noises.‎
Journal title :
Journal of Sciences
Serial Year :
2017
Journal title :
Journal of Sciences
Record number :
2399402
Link To Document :
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