ChemInform Abstract: A New Method for Evaluating the Inner Pore Structure of Porous Catalysts-Resin Replication of Silica.

ChemInform ◽  
1990 ◽  
Vol 21 (32) ◽  
Author(s):  
Y. TAKASU ◽  
K. SUZAWA ◽  
M. UENO ◽  
K. YAHIKOZAWA ◽  
H. HORIO ◽  
...  
Keyword(s):  
Pore Structure ◽  
New Method ◽  
Porous Catalysts ◽  
Inner Pore

THE RATE OF ADSORPTION OF SOME LOW BOILING GASES ON A MODIFIED SARAN CHARCOAL

1955 ◽  
Vol 33 (2) ◽  
pp. 344-351 ◽  
Author(s):  
J. R. Dacey ◽  
D. G. Thomas
Keyword(s):  
Activation Energy ◽  
Pore Structure ◽  
Temperature Variation ◽  
New Method ◽  
Adsorption Experiment ◽  
Vinylidene Chloride ◽  
Adsorption Of Nitrogen

The pyrolysis at 300 °C. of vinylidene chloride monomer adsorbed on Saran charcoal alters the pore structure of the charcoal so that low boiling gases such as nitrogen are adsorbed slowly. The rates of adsorption of nitrogen, argon, and methane have been measured. They were found to vary with pressure and temperature, and from the temperature variation an activation energy may be calculated. A new method of determining this energy is described which involves changing the temperature during only one adsorption experiment.

Multifractal analysis of coal pore structure based on NMR experiment: A new method for predicting T2 cutoff value

Fuel ◽  
2021 ◽  
Vol 283 ◽  
pp. 119338
Author(s):  
Yang Zhao ◽  
Baiquan Lin ◽  
Ting Liu ◽  
Yuannan Zheng ◽  
Yong Sun ◽  
...  
Keyword(s):  
Pore Structure ◽  
Multifractal Analysis ◽  
New Method ◽  
Cutoff Value

Pore-Scale Joint Evaluation of Dielectric Permittivity and Electrical Resistivity for Assessment of Hydrocarbon Saturation Using Numerical Simulations

SPE Journal ◽  
2016 ◽  
Vol 21 (06) ◽  
pp. 1930-1942 ◽  
Author(s):  
Huangye Chen ◽  
Zoya Heidari
Keyword(s):  
Electrical Resistivity ◽  
Spatial Distribution ◽  
Dielectric Permittivity ◽  
Pore Structure ◽  
Maximum Error ◽  
New Method ◽  
Pore Scale ◽  
Resistivity Measurements ◽  
Hydrocarbon Saturation ◽  
Permittivity Measurements

Summary Complex pore geometry and composition, as well as anisotropic behavior and heterogeneity, can affect physical properties of rocks such as electrical resistivity and dielectric permittivity. The aforementioned physical properties are used to estimate in-situ petrophysical properties of the formation such as hydrocarbon saturation. In the application of conventional methods for interpretation of electrical-resistivity (e.g., Archie's equation and the dual-water model) and dielectric-permittivity measurements [e.g., complex refractive index model (CRIM)], the impacts of complex pore structure (e.g., kerogen porosity and intergranular pores), pyrite, and conductive mature kerogen have not been taken into account. These limitations cause significant uncertainty in estimates of water saturation. In this paper, we introduce a new method that combines interpretation of dielectric-permittivity and electrical-resistivity measurements to improve assessment of hydrocarbon saturation. The combined interpretation of dielectric-permittivity and electrical-resistivity measurements enables assimilating spatial distribution of rock components (e.g., pore, kerogen, and pyrite networks) in conventional models. We start with pore-scale numerical simulations of electrical resistivity and dielectric permittivity of fluid-bearing porous media to investigate the structure of pore and matrix constituents in these measurements. The inputs to these simulators are 3D pore-scale images. We then introduce an analytical model that combines resistivity and permittivity measurements to assess water-filled porosity and hydrocarbon saturation. We apply the new method to actual digital sandstones and synthetic digital organic-rich mudrock samples. The relative errors (compared with actual values estimated from image processing) in the estimate of water-filled porosity through our new method are all within the 10% range. In the case of digital sandstone samples, CRIM provided reasonable estimates of water-filled porosity, with only four out of twenty-one estimates beyond 10% relative error, with the maximum error of 30%. However, in the case of synthetic digital organic-rich mudrocks, six out of ten estimates for water-filled porosity were beyond 10% with CRIM, with the maximum error of 40%. Therefore, the improvement was more significant in the case of organic-rich mudrocks with complex pore structure. In the case of synthetic digital organic-rich mudrock samples, our simulation results confirm that not only the pore structure but also spatial distribution and tortuosity of water, kerogen, and pyrite networks affect the measurements of dielectric permittivity and electrical resistivity. Taking into account these parameters through the joint interpretation of dielectric-permittivity and electrical-resistivity measurements significantly improves assessment of hydrocarbon saturation.

Experimental study on pyrolysis tar removal over rice straw char and inner pore structure evolution of char

2015 ◽  
Vol 134 ◽  
pp. 333-344 ◽  
Author(s):  
Yun-liang Zhang ◽  
Wen-guang Wu ◽  
Shan-hui Zhao ◽  
Yu-feng Long ◽  
Yong-hao Luo
Keyword(s):  
Experimental Study ◽  
Pore Structure ◽  
Rice Straw ◽  
Structure Evolution ◽  
Tar Removal ◽  
Pyrolysis Tar ◽  
Inner Pore

EVALUATION OF FORMATION DAMAGE USING MICROSTRUCTURE FRACTAL IN SHALE RESERVOIRS

Fractals ◽  
2015 ◽  
Vol 23 (01) ◽  
pp. 1540008 ◽  
Author(s):  
LIJUN YOU ◽  
QIANG CHEN ◽  
YILI KANG ◽  
YANGFENG YU ◽  
JINGAN HE
Keyword(s):  
Pore Structure ◽  
Threshold Value ◽  
New Method ◽  
Working Fluid ◽  
Formation Damage ◽  
Measurement Scales ◽  
Sem Images ◽  
Working Fluids ◽  
Sem Image ◽  
Shale Formation

Formation damage evaluation is a key and basic link in optimizing working fluids. It is widely accepted that formation damage is the reduction of core plugs permeability caused by working fluid invasion. However, the measurement of permeability faces a huge challenge for shale formation, such as overspending, time-consuming and the scarcity of unbroken core plug samples. A new method of fractal analysis derived from Scanning Electron Microscopy (SEM) image of shale pore structure was used to quantify the shale formation damage. This method needs to select optimal magnification and segmentation threshold value of SEM image to obtain exact Fractal Dimension (FD) of pore structure. In this paper, we take the black shale outcrops from Sichuan Basin for an example. The results shows that the optimal magnification for observation of the pore structure using SEM imaging in this area is 1000×, and the optimal threshold value for binary image is 29 (RGB). Microscopic pore structure of the shale follows the fractal law, and the FDs increase with increasing measurement scales. It is evident that the evaluation results of shale formation damage when exposed to 2 wt.% NaOH solution and 2 wt.% brine solution using microstructure fractal are exceptionally in good agreement with permeability reduction results. The microstructure fractal obtained from SEM images provides a new method for evaluation of shale formation damage. And it can be applied to optimize the screening working fluids used in shale formation in real time under the condition of high temperature and high pressure.

scholarly journals A New Method for Pore Structure Quantification and Pore Network Extraction from SEM Images

2019 ◽  
Vol 34 (1) ◽  
pp. 82-94
Author(s):  
Chenhui Wang ◽  
Kejian Wu ◽  
Gilbert G. Scott ◽  
Alfred R. Akisanya ◽  
Quan Gan ◽  
...  
Keyword(s):  
Pore Structure ◽  
Pore Network ◽  
New Method ◽  
Sem Images

scholarly journals Characterization and Consecutive Prediction of Pore Structures in Tight Oil Reservoirs

Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2705 ◽  
Author(s):  
Zhaohui Xu ◽  
Peiqiang Zhao ◽  
Zhenlin Wang ◽  
Mehdi Ostadhassan ◽  
Zhonghua Pan
Keyword(s):  
Pore Structure ◽  
Capillary Pressure ◽  
New Method ◽  
Tight Oil ◽  
Type I ◽  
Sweet Spot ◽  
Sem Images ◽  
Pore Structures ◽  
Lucaogou Formation ◽  
Two Samples

The Lucaogou Formation in Jimuaser Sag of Junggar Basin, China is a typical tight oil reservoir with upper and lower sweet spots. However, the pore structure of this formation has not been studied thoroughly due to limited core analysis data. In this paper, the pore structures of the Lucaogou Formation were characterized, and a new method applicable to oil-wet rocks was verified and used to consecutively predict pore structures by nuclear magnetic resonance (NMR) logs. To do so, a set of experiments including X-ray diffraction (XRD), mercury intrusion capillary pressure (MICP), scanning electron microscopy (SEM) and NMR measurements were conducted. First, SEM images showed that pore types are mainly intragranular dissolution, intergranular dissolution, micro fractures and clay pores. Then, capillary pressure curves were divided into three types (I, II and III). The pores associated with type I and III are mainly dissolution and clay pores, respectively. Next, the new method was verified by “as received” and water-saturated condition T2 distributions of two samples. Finally, consecutive prediction in fourteen wells demonstrated that the pores of this formation are dominated by nano-scale pores and the pore structure of the lower sweet spot reservoir is more complicated than that in upper sweet spot reservoir.

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