APPLICATION OF STOCHASTIC ANALYSIS & MODELING THROUGH INTEGRATED RESERVOIR CHARACTERIZATION IN GONBADLI GAS RESERVOIR (A COMMON FIELD BETWEEN IRAN & TURKMANESTAN)

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MOSTAGHEL B.; BASHARI A.; KHAKZAD A.

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Journal: JOURNAL OF SCIENCES (ISLAMIC AZAD UNIVERSITY) Year:2005 | Volume:15 | Issue:57 (GEOLOGY ISSUE) Page(s): 327-340

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Title

APPLICATION OF STOCHASTIC ANALYSIS & MODELING THROUGH INTEGRATED RESERVOIR CHARACTERIZATION IN GONBADLI GAS RESERVOIR (A COMMON FIELD BETWEEN IRAN & TURKMANESTAN)

Author(s)

MOSTAGHEL B. | BASHARI A. | KHAKZAD A. | Issue Writer Certificate

Keywords

GONBADLIQ4

SHURIJEH FORMATIONQ4

STOCHASTIC MODELINGQ4

CO- SIMULATIONQ4

STOCHASTIC INVERSIONQ4

SEISMICQ4

PETROPHYSICQ4

ACOUSTIC IMPEDANCEQ4

POROSITYQ4

Abstract

This research presents an applied workflow and results of an integrated study which included contributions from PETROPHYSICal, Geological, Geophysical and Reservoir Engineering aspects. We provide input data for a high resolution Geo-statistical Inversion with POROSITY Co-Simulation study of gas saturated, Lower Cretaceous Sandstones of Kopet-Dagh basin on GONBADLI structure in North Eastern of IRAN. The study formed part of a project for NIOC-EXP Directorate to deliver an initial deterministic inversion of a 3D- SEISMIC dataset acquired over the GONBADLI field followed by a Geo- Statistical Inversion and with POROSITY Co-Simulation. PETROPHYSICal data of nine wells to be incorporated into the study. The final result are three POROSITY reservoir models in depth that tie the well data and take advantage of the 3D-Seismic data acquired in the area. The advantages of this technique ( by using two complicated software -RMS & JASON ) over traditional approaches to building reservoir models is that the high vertical resolution of the well data can be powerfully combined with the high lateral resolution of the SEISMIC data. The result is a detailed and accurate reservoir model that makes use of all available data.Up-scaling of the 3D property models has been performed and provided an Eclips-ready set of models for flow simulation and risk analysis under development processes. Quantification of uncertainties in geophysical measurements such as Impedance and POROSITY is necessary for complete risk analysis. This is an important consideration in both exploration and reservoir characterization. We have shown that the methods of Stochastic (SGS and SGCCS) can be used to define limits to the expected values of POROSITY in Lower Cretaceous-gas-saturated sandstone. Essential and unique to the proposed method to reduce uncertainty is that the 3D output result fully honors the input well Logs, geologic model and SEISMIC-data. The method generates multiple realization (PIS, PSO, P8S), allowing a full 3D analysis of uncertainty of the output results from the Geo-statistical Inversion process. This method at GONBADLI field (DI zone) has provided an improved view of the reservoir connectivity which was not possible using just the well or SEISMIC data. This technique has added confidence to the future production drilling program. Better estimation of gas volume in sandstone layer of SHURIJEH FORMATION (Upper and Lower DI member) and detection of permeability barrier between two parts of this interval have improved just by above integrated workflow.

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APA: Copy

MOSTAGHEL, B., BASHARI, A., & KHAKZAD, A.. (2005). APPLICATION OF STOCHASTIC ANALYSIS & MODELING THROUGH INTEGRATED RESERVOIR CHARACTERIZATION IN GONBADLI GAS RESERVOIR (A COMMON FIELD BETWEEN IRAN & TURKMANESTAN). JOURNAL OF SCIENCES (ISLAMIC AZAD UNIVERSITY), 15(57 (GEOLOGY ISSUE)), 327-340. SID. https://sid.ir/paper/70461/en

Vancouver: Copy

MOSTAGHEL B., BASHARI A., KHAKZAD A.. APPLICATION OF STOCHASTIC ANALYSIS & MODELING THROUGH INTEGRATED RESERVOIR CHARACTERIZATION IN GONBADLI GAS RESERVOIR (A COMMON FIELD BETWEEN IRAN & TURKMANESTAN). JOURNAL OF SCIENCES (ISLAMIC AZAD UNIVERSITY)[Internet]. 2005;15(57 (GEOLOGY ISSUE)):327-340. Available from: https://sid.ir/paper/70461/en

IEEE: Copy

B. MOSTAGHEL, A. BASHARI, and A. KHAKZAD, “APPLICATION OF STOCHASTIC ANALYSIS & MODELING THROUGH INTEGRATED RESERVOIR CHARACTERIZATION IN GONBADLI GAS RESERVOIR (A COMMON FIELD BETWEEN IRAN & TURKMANESTAN),” JOURNAL OF SCIENCES (ISLAMIC AZAD UNIVERSITY), vol. 15, no. 57 (GEOLOGY ISSUE), pp. 327–340, 2005, [Online]. Available: https://sid.ir/paper/70461/en

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