Multiscale pore structure characterization based on SEM images

نویسندگان

چکیده

The micropore structure’s permeability contribution to total of the heterogeneous reservoir with multiscale pore structures is critical for evaluation but still not well understood. This paper proposes a structure characterization method based on high-resolution SEM images quantitatively analyse structures’ content and their contributions via six steps. First, image-based rock typing implemented classify into different types using random forest algorithm. Second, 3D model macropore every reconstructed applying MPS method. Third, each calculated LBM, corresponding REV this estimated. Four, an upscaling process carried out divide many cells whose length determined by maximum structures. Five, cell coarse grid LBM except some that are randomly selected as assigned directly according types. Finally, evaluated comparing before after assuming target impermeable. result shows varies significantly its permeability, content, spatial distribution, structure.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Multiscale characterization of pore spaces using multifractals analysis of scanning electronic microscopy images of carbonates

Pore spaces heterogeneity in carbonates rocks has long been identified as an important factor impacting reservoir productivity. In this paper, we study the heterogeneity of carbonate rocks pore spaces based on the image analysis of scanning electron microscopy (SEM) data acquired at various magnifications. Sixty images of twelve carbonate samples from a reservoir in the Middle East were analyze...

متن کامل

Nano-Structure Roughening on Poly(Lactic Acid)PLA Substrates: Scanning Electron Microscopy (SEM) Surface Morphology Characterization

Scanningelectron microscopy (SEM) has been utilized  to examine  the morphology and topography alterations  in the surface of Poly(Lactic Acid)(PLA) fabrics due to UV/Ozoneirradiation. In the past decade, a growing attention in the usage of “Green Techniques” in industrial applications has been observed owing to many benefits such as low impurities and their relatively low cost to substitute th...

متن کامل

Curvelet Based Offline Analysis of SEM Images

Manual offline analysis, of a scanning electron microscopy (SEM) image, is a time consuming process and requires continuous human intervention and efforts. This paper presents an image processing based method for automated offline analyses of SEM images. To this end, our strategy relies on a two-stage process, viz. texture analysis and quantification. The method involves a preprocessing step, a...

متن کامل

Sparsity-Based Super Resolution for SEM Images

The scanning electron microscope (SEM) is an electron microscope that produces an image of a sample by scanning it with a focused beam of electrons. The electrons interact with the atoms in the sample, which emit secondary electrons that contain information about the surface topography and composition. The sample is scanned by the electron beam point by point, until an image of the surface is f...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Fuel

سال: 2021

ISSN: ['0016-2361', '1873-7153']

DOI: https://doi.org/10.1016/j.fuel.2020.119915