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Information Journal Paper

Title

DETERMINING PORE TYPE DISTRIBUTION IN THE ASMARI RESERVOIR BY USING 3D SEISMIC ATTRIBUTES

Pages

  4-18

Abstract

 Pore types distribution in reservoir rocks are the main factors controlling RESERVOIR QUALITY. Because, Pore type and pore distribution in carbonate reservoirs are very important because the pore types control fluid flow and permeability in porous media. In this study, pore types based on elastic and petrophysical behavior are classified into 3 classes (Stiff, Reference and Fracture) and 8 subclasses (Intraparticle, Moldic/Vug, Microporosity, Interparticle, Intercrystalline, Fracture, Intergranular, and Shale microporosity). Each pore type is identified based on Velocity Deviation Log (VDL) and core data along the studied wells. For the determination of petrophysical behavior of pores, their distribution is investigated within the hydraulic flow units based on Flow Zone Index method. After determining pore types and their petrophysical properties along the studied wellbores for extrapolation of the results in to the field, seismic attributes are used. Post-stack seismic data are inverted, and finally 3D model and maps of pore type distribution by using of seismic attributes are established. This model is useful to determinate reservoir and non-reservoir zonation in the field-scale.

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    APA: Copy

    GHARECHELOU, SAJJAD, HOSSEINI, ZIBA, KADKHODAIE, ALI, & CHEHRAZI, ALI. (2018). DETERMINING PORE TYPE DISTRIBUTION IN THE ASMARI RESERVOIR BY USING 3D SEISMIC ATTRIBUTES. PETROLEUM RESEARCH, 27(96 ), 4-18. SID. https://sid.ir/paper/115135/en

    Vancouver: Copy

    GHARECHELOU SAJJAD, HOSSEINI ZIBA, KADKHODAIE ALI, CHEHRAZI ALI. DETERMINING PORE TYPE DISTRIBUTION IN THE ASMARI RESERVOIR BY USING 3D SEISMIC ATTRIBUTES. PETROLEUM RESEARCH[Internet]. 2018;27(96 ):4-18. Available from: https://sid.ir/paper/115135/en

    IEEE: Copy

    SAJJAD GHARECHELOU, ZIBA HOSSEINI, ALI KADKHODAIE, and ALI CHEHRAZI, “DETERMINING PORE TYPE DISTRIBUTION IN THE ASMARI RESERVOIR BY USING 3D SEISMIC ATTRIBUTES,” PETROLEUM RESEARCH, vol. 27, no. 96 , pp. 4–18, 2018, [Online]. Available: https://sid.ir/paper/115135/en

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