Screening of Enhanced Oil Recovery Methods in One of Iran’s Offshore Oil Fields
سال انتشار: 1399
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 397
فایل این مقاله در 17 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_IJOGST-9-4_004
تاریخ نمایه سازی: 2 شهریور 1400
چکیده مقاله:
Enhanced oil recovery (EOR) is a vital part of the process of oil production from sandstone and carbonate reservoirs. Maintaining and increasing oil production from many fields require proper selection, design, and implementation of EOR methods. The selection of EOR methods for specific reservoir conditions is one of the most difficult tasks for oil and gas companies. Screening of different EOR techniques considering previous experiences from the methods applied in other fields is a first step in the recommendation of any costly EOR operations. In this paper, EORgui software was utilized to screen eight enhanced oil recovery methods in one of Iran’s offshore sandstone oil fields. The reservoir is composed of two sections with different fluid properties, namely API, viscosity, and oil composition, but relatively homogeneous rock properties and high permeability (۱۵۰۰ mD). The results show that polymer flooding is technically the most suitable enhanced oil recovery method in the upper zone of the reservoir with a high percentage matching score of ۹۰%, and immiscible gas injection with a matching score of ۸۳% is ranked second. For the lower part of the reservoir containing a fluid with much higher viscosity, immiscible gas injection (۸۳% matching) can be recommended. Furthermore, polymer flooding predictive module (PFPM) was utilized to investigate the impact of polymer concentration on oil recovery performance of the upper part with an ultimate recovery of about ۴۰% at the optimum concentration.
کلیدواژه ها:
نویسندگان
Mehdi Bahari Moghaddam
Assistant Professor, Department of Petroleum Engineering, Petroleum University of Technology, Ahwaz, Iran
Mostafa Fathalizade
M.S. of Petroleum Engineering, Department of Petroleum Engineering, Omidiyeh Branch, Azad University, Omidiyeh, Iran
مراجع و منابع این مقاله:
لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :