شبیه‌سازی عددی جریان دو‌فازی نفت- دی اکسید کربن در مقیاس منفذ ناحیه نزدیک-امتزاج‌پذیری با استفاده از روش دینامیک سیالات محاسباتی

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشکده مهندسی نفت، دانشگاه صنعتی امیرکبیر (پلی تکنیک تهران)، ایران

2 دانشکده مهندسی شیمی، دانشگاه صنعتی امیرکبیر (پلی تکنیک تهران)، ایران

چکیده

سیلاب‌زنی از طریق تزریق گاز دی‌اکسید‌کربن مدت‌های مدیدی است که به‌عنوان یک روش رایج به‌منظور بهبود بازیابی نفت، کاهش اثر گلخانه‌ای گاز دی‌اکسید‌کربن، ذخیره‌سازی دی‌اکسید‌کربن بکار میرود. تزریق گاز به‌صورت امتزاج‌پذیر همواره به‌عنوان کارآمدترین روش جهت افزایش ضریب بازیافت مطرح بوده است. ولیکن شرایط مخازن همواره به گونه‌ای نیست که فشار مخزن بالاتر از فشار امتزاج‌پذیری باشد؛ بلکه به‌دلیل مشکلات ناشی از حفظ و نگهداری فشار مخزن در محدوده موردنظر، اغلب مخازن که تحت عملیات تزریق گاز امتزاج‌پذیر بوده‌اند، مقادیر فشاری کمتر از فشار کمینه امتزاجی را تجربه می‌نمایند. لذا در این موقعیت، فرآیند تزریق تحت شرایط نزدیک- امتزاج‌پذیر از لحاظ عملیاتی امکان‌پذیرتر است. هدف از این مطالعه بررسی رفتار جریانی نفت- دی‌اکسید‌کربن در مقیاس- منفذ در فرآیند تزریق گاز نزدیک- امتزاج‌پذیر در یک محیط متخلخل ناهمگن است. از این‌رو ابتدا ناحیه فشاری نزدیک- امتزاج‌پذیری مؤثر براساس معیارهای موجود محاسبه و تعیین می‌گردد. سپس شبیه‌سازی عددی در مقیاس- منفذ در حد پایینی ناحیه فشاری مورد نظر (کمینه فشار ناحیه برابر با 87/0 حداقل فشار امتزاج‌پذیری)، با بهره‌گیری از ماژول میدان فازی در ترکیب با روابط ناویراستوکس با اتخاذ خواص سطحی نفوذی و خواص هیدرودینامیک سیالات در نرم‌افزار کامسول صورت می‌پذیرد. بررسی کمی نتایج حاصل از این مطالعه به‌منظور درک بهتر از مکانیسم بازیافت نفت در مقیاس-منفذ نشان می‌دهد چنانچه شرایط فشاری در سرتاسر مدل‌سازی در ناحیه فشاری نزدیک- امتزاج‌پذیری مؤثر حفظ گردد، ضریب بازیافت نفت از حدود 50% به بیش از 90% ارتقاء می‌یابد که این میزان بازیافت به مقادیر مربوط به فرآیند تزریق گاز امتزاجی نزدیک است.
 

کلیدواژه‌ها


عنوان مقاله [English]

Numerical Simulation of Two-Phase Flow of CO2 -Oil in Pore-Scale at Near-Miscible Condition Using Computational Fluid Dynamic Technique

نویسندگان [English]

  • Parisa behnoud 1
  • Mohammadreza Khorsand 1
  • Mostafa Keshavarz Moraveji 2
1 Department of Petroleum Engineering, Amir Kabir University of technology, Tehran, Iran
2 Department of Chemical Engineering, Amir Kabir University of Technology, Tehran, Iran
چکیده [English]

Carbon dioxide (CO2) gas flooding has long been regarded as a popular method of improving oil recovery as it can reduce the carbon footprint in the atmosphere through carbon storage and CO2 sequestration. Miscible flooding is considered the most efficient way to reach the maximum oil recovery factor. However, not only do not all oil reservoirs experience pressures above miscibility but also due to difficulty in retaining reservoir pressure in the desired region, numerous miscible flooding operations experience pressure decline below minimum miscibility pressure (MMP). In these circumstances, a near-miscible process seems to be attainable and practical compared with a miscible injection. In the current study, we exclusively focus on pore-scale near-miscible CO2-oil displacement. In this regard, the effective near-miscible region is determined based on the available criteria in the literature. Then at the lower-pressure limit of the defined near-miscible region, Phase-Field coupled with the Navier-Stokes equation as the numerical approach is implemented to investigate the CO2-Oil displacement by capturing the diffusive interface properties and hydrodynamic properties of fluids. Quantitative analysis of results, to better realize the pore-scale mechanism of oil recovery demonstrated that if the pressure conditions are maintained throughout the modeling in the effective near-miscible pressure region, almost significant amounts of by-passed oil in the pores from small to large to be recovered and the oil recovery increased from 50% to more than 90% approaching the results of miscible gas injection. This outcome can accentuate the significance of near-miscible CO2-EOR in operation applications.

کلیدواژه‌ها [English]

  • CO2 Storage
  • Near-miscible region
  • Enhanced Oil Recovery
  • Pore-scale model
  • Phase Field
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