کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
205556 461112 2015 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Permeability prediction of shale matrix reconstructed using the elementary building block model
ترجمه فارسی عنوان
پیش بینی نفوذپذیری ماتریس شیل با استفاده از مدل بلوک ساختمان اولیه بازسازی شده است
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی مهندسی شیمی (عمومی)
چکیده انگلیسی


• REV-scale structure of shale matrix is reconstructed.
• A generalized lattice Boltzmann model for porous flow with slippage.
• Permeability of the REV is predicted.
• Effects of kerogen content, grain size and interparticle pores are studied.
• Effects of slippage and adsorption are investigated.

Representative elementary volume (REV)-scale structure of shale matrix is reconstructed based on elementary building block (EBB) model using a stochastic reconstruction method called Quartet Structure Generation Set. In the EBB model, various constituents with different pore morphologies in shale matrix including organic matter and inorganic minerals are considered as different EBBs, and in each EBB, specific structural parameters and transport properties are locally defined. A generalized lattice Boltzmann model for fluid flow through tight porous media with slippage is employed to simulate fluid flow through the reconstructed REV-scale structures. A four-EBB shale matrix including clay, calcite, pyrite and organic matter is studied and its permeability is predicted. Effects of organic content, grain size, interparticle pores on the permeability of the REV-scale matrix are investigated. It is found that smaller grain size and interparticle pores can increase the permeability. The influences of complex physical processes such as slippage and adsorption on the REV-scale permeability are also explored. Slippage effect increases as the pore size decreases. Adsorption has two opposite effects on the permeability, and which one dominates depend on pressure. The present study can help understand gas transport in shale matrix and improve reservoir scale studies.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Fuel - Volume 160, 15 November 2015, Pages 346–356
نویسندگان
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