روش نوین ایجاد و خوشه‌بندی مدل شبکه حفرات محیط متخلخل

نوع مقاله : مقاله پژوهشی

نویسندگان

1 مهندسی نفت، مهندسی شیمی و نفت، شریف، تهران، ایران

2 مهندسی نفت، مهندسی شیمی و نفت، صنعتی شریف، تهران، ایران

چکیده

هندسه‌ محیط متخلخل از مهم‌ترین عوامل تأثیرگذار در آنالیز خواص انتقالی است. مدل حفره-گلوگاه به منظور توصیف خواص انتقالی در محیط متخلخل استفاده می‌شود. در این مطالعه، روشی برای ایجاد شبکه حفره ها بر اساس مشخصه‌های استاتیک مربوط به محیط متخلخل ارائه شده است. در این روش، با استفاده از توزیع اندازه حفره‌ها، توزیع عدد هم‌آرایی و تخلخل مشخص، یک مدل شبکه حفره ها نامنظم ایجاد می‌شود. مدل ارائه‌شده بر مبنای توابع احتمالی ایجاد می‌شود، به همین دلیل دارای جواب‌های متنوعی است. با قرار دادن تخلخل به‌عنوان تابع هدف، شبیه‌سازی تا رسیدن به نقطه تطابق میان تخلخل ورودی و مدل توسعه داده شده ادامه می‌یابد. این مدل نامنظم، شامل خواص استاتیک مدنظر از قبیل توزیع اندازه حفره ها، توزیع عدد هم‌آرایی و تخلخل است. عدد هم‌آرایی برای این مدل می‌تواند بین 0 تا 26 متغیر باشد. در این مدل، الگوریتم خوشه‌بندی به گونه ای است که شبکه مرتبط به تخلخل مفید به‌صورت مجزا نمایش داده ‌شود. در انتها، پارامترهای استخراجی از تصاویر سی‌تی‌اسکن مربوط به یک سنگ سیلیکا مصنوعی حاصل از الگوریتم حفره ها ماکسیمم اصلاح‌شده به‌عنوان ورودی مدل، استفاده شده است. مقایسه نتایج حاصل از دو مدل نشان از انطباق مناسب میان مشخصه‌های استاتیکی و ساختاری است.

کلیدواژه‌ها

عنوان مقاله [English]

New Method of Generating and Clustering Pore Network Model

نویسندگان [English]

  • Farzad Barzegar 1
  • Mohammad Azadi tabar 1
  • Mohsen Masihi 2
1 Petroleum Engineering, Chemical & Petroleum Engineering, Sharif, Tehran, Iran
2 Petroleum Engineering, Chemical & Petroleum Engineering, Sharif, Tehran, Iran
چکیده [English]

In this study, a method for generating a pore network model based on porous media static characteristics has been presented. The method with the aim of pore size, coordination number distribution and the porosity is developed to generate an irregular pore network model. Because the model uses probability functions, it has different answers. In order to optimize model, porosity is used as target function. This irregular model has all of the desired static properties such as pore size, coordination number distribution and porosity. The model coordination number can vary from 0 to 26. An effective pore network is extracted using a new clustering algorithm. Finally, the results of an extracted pore network from the CT scan image of a synthetic silica achieved from maximal ball algorithm were used as the model inputs. The outcome of the developed model was compared with the mentioned model and statically and structural agreement was found.

کلیدواژه‌ها [English]

  • Pore network model
  • Clustering
  • pore size distribution
  • Coordination distribution
  • Porosity

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