EXPERMENTAL Investigation Effect of Hydrophobic Nano-Silica on Interfacial Tension for EOR Implication

سال انتشار: 1391
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 1,539

فایل این مقاله در 7 صفحه با فرمت PDF قابل دریافت می باشد

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

شناسه ملی سند علمی:

SDTC03_045

تاریخ نمایه سازی: 4 اسفند 1391

چکیده مقاله:

Investigation of applicability of nanoteclmology in enhanced oil recovery processes has received a great deal ofattention in recent years. An emerging application of nanotechnology in oil reservoir engineering is developingnew types of nano-tluidls tor improved/enhanced oil recovery, drilling, etc. Nano-tluids are colloidal suspensionsof nano particles in a base fluid, which is commonly water or organic liquids. These fl uids are prepared byintroducing small volumetric fractions of nano particles into the liquid phase in order to enhance or improvesome of the fluid properties. Recent research has demonstrated that nano-fluids have attractive properties forinterfacial tension (liT) reduction. AEOROSIL R816 implemented as hydrophobic nanoparticle to exhibitsurfactant like behavior of partially hydrophobic nanosilica due to hydrophobic (alkyle chain) and hydrophilic(silanol) parts in its structure. For despite this fact, interfac ial measurements were performed at differentconcentration of R816 nanosilica which dispersed in distilled water. Pendant drop measurements show thatAEOROSIL R816 were able to reduce the interfacial tension between oil and water from 32.456 mN/m to 23.619mN/m. Results from this study are beneficial for appropriate selection of surfactants in design of EOR processesand reservoir stimulation for carbonate or sandstone reservoirs.

نویسندگان

Mohammad Ali Ahmadi

Debartment of petroleum Engineering, Ahwaz Faculty of Petroleum,

Seyed Reza Shdizadeh

Engineering, etroleumUniversity of Technology, Ahwaz,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 :
  • Rodriguez, R., Roberts, M., Yu, H., Huh C., and Bryant, ...
  • Yu, H., Kotsmar, C., Yoon, K. Y., Ingram, D. R., ...
  • Zhang, T., Davidson, D., Bryant, S. L, and Huh, C. ...
  • Kissa, E. "Dispersions: characterizati on, testing, and measurement? New York: ...
  • Hayashi, R., Takahashi, M. and Yamane, H. :Measuremet of interfacial ...
  • Herd, M.D., Thomas, C.P., Bala, G.A.D. and Lassahn, G. _ ...
  • نمایش کامل مراجع