چکیده مقاله
The Kangan and Upper Dalan formations form the primary reservoir intervals of the South Pars gas field, the world’s largest natural gas accumulation, containing over 14 trillion cubic meters of recoverable gas Petrophysical evaluation of these carbonate reservoirs is highly challenging owing to their complex geology, including mineralogical heterogeneity dolomite vs calcite , anhydrite layers acting as cap rocks, and extensive diagenetic alterations such as dolomitization and cementation This study employs an integrated approach to enhance the accuracy of reservoir property estimation Advanced well log data from well SPD10 08 including NGT, HGNS, TLD, HRLA, CMR, and DSI tools were combined with geological structural models The reservoir interval was divided into four main units K1 to K4 Results show that unit K4 displays the best reservoir quality, with average effective porosity of 13 8%, permeability of 4 90 mD, and water saturation of 14 6%, mainly attributed to dominant dolomite content and associated secondary porosity development In contrast, unit K3 exhibits the poorest properties, with porosity of 6 7%, permeability of 0 25 mD, and water saturation of 20 1%, primarily due to anhydrite cementation and high calcite content Water saturation was estimated using the Dual Water model, and permeability via the K Lambda model; both methods demonstrated excellent agreement with core data Incorporating geological variables—such as mineralogical composition and bedding architecture—improved prediction accuracy by 15–20% and enabled the identification of distinct hydraulic units This multidisciplinary methodology significantly enhances reservoir management, reduces uncertainties in static and dynamic modeling, and supports more effective design of enhanced gas recovery strategies in Iranian carbonate gas reservoirs
کلیدواژهها
نویسندگان
شیوه ارجاع
Saeidi Goraghani, Hossein and Ansari, Abdul Hamid,1404,Petrophysical Evaluation of the Kangan Formation in the South Pars Field Relying on Geological Structural Models,23th International Conference on Innovation and Research in Engineering Sciences (ICIRES)
ارائهشده در
مجموعه مقالات بیست و سومین کنفرانس بین المللی نوآوری و تحقیق در علوم مهندسی22 اسفند 1404