Investigation of Underground Gas Storage in a Partially Depleted Naturally Fractured Gas Reservoir
سال انتشار: 1389
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 68
فایل این مقاله در 8 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_IJCCE-29-1_011
تاریخ نمایه سازی: 17 خرداد 1404
چکیده مقاله:
In this work, studies of underground gas storage (UGS) were performed on a partially depleted, naturally fractured gas reservoir through compositional simulation. Reservoir dynamic model was calibrated by history matching of about ۲۰ years of researvoir production. Effects of fracture parameters, i.e. fracture shape factor, fracture permeability and porosity were studied. Results showed that distribution of fracture density affects flow and production of water, but not that of gas, through porous medium. However, due to high mobility of gas, the gas production and reservoir average pressure are insensitive to fracture shape factor. Also, it was found that uniform fracture permeability distribution enhances communication within reservoir and consequently more pressure support is obtained by water bearing of aquifer. Effect of aquifer on the reservoir performance was studied, and it was found that an active aquifer can reduce condensate drop out around the well bore. On the other hand, water invasion is an important issue which may kill the well. Results showed that use of horizontal wells is superior to vertical wells in order to avoid detrimental effects of active aquifer.
کلیدواژه ها:
نویسندگان
Ali Jodeyri Entezari
Tehran Energy Consultants, Khoramshahr St., Tehran ۱۵۵۴۶۱۴۳۱۳, I.R. IRAN
Reza Azin
Department of Chemical Engineering, Engineering Faculty, Persian Gulf University, Bushehr, I.R. IRAN
Amir Nasiri
Tehran Energy Consultants, Khoramshahr St., Tehran ۱۵۵۴۶۱۴۳۱۳, I.R. IRAN
Hassan Bahrami
Faculty of Chemical and Petroleum Engineering, Sharif University of Technology, Tehran, I.R. 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 :