scholarly journals Estimation of Pore Volume Compressibility in Carbonate Reservoir Rocks based on a Classification

Author(s):  
Seyed Amin Moosavi ◽  
Hesam Aloki Bakhtiari ◽  
Javad Honarmand

Abstract Taking a vast range of carbonate reservoir rock from Asmari and Bangestan formations in southern Iran basins, this study examined the petrographically classification, petrological and petrophysical characteristics, and their implications on the estimation of pore volume compressibility of the carbonate reservoirs. In the current study, a method is developed to classify the carbonate reservoir rocks based on the dominant factors which is involving in elastic property of pore volumes. In order to classifying, a number of 3702 thin sections were studied. Then, the pore volume compressibility of 200 core plugs corresponding to the range of classification parameters were obtained and quantified by a pre-proven equation. The results clearly show an acceptable narrow bandwidth between the upper and lower bound of estimations based on the studied classification. Furthermore, the estimation of pore compressibility-stress relationship was in a good agreement with the experimental observations. Also, the study shows that integrating the routine petrophysical properties are useful for estimation of stress related properties of pore volumes into carbonate reservoir rocks.

2012 ◽  
Vol 7 (1) ◽  
pp. 231-239 ◽  
Author(s):  
S. A. Moosavi ◽  
K. Goshtasbi ◽  
E. Kazemzadeh ◽  
H. Aloki Bakhtiari ◽  
M. R. Esfahani ◽  
...  

Fuel ◽  
2018 ◽  
Vol 232 ◽  
pp. 543-549 ◽  
Author(s):  
Suyang Zhu ◽  
Zhimin Du ◽  
Chuanliang Li ◽  
Zhenjiang You ◽  
Xiaolong Peng ◽  
...  

1988 ◽  
Vol 25 (7) ◽  
pp. 1128-1131 ◽  
Author(s):  
J. R. Parker

Studies of thin sections of reservoir rock have been conducted for some time with the goal of understanding flow behavior and estimating physical properties. These sections are essentially two dimensional, but it has always been assumed that the results obtained can be extrapolated to the third dimension. Computer image-processing techniques are often used in this sort of analysis because of the large amounts of data contained in a single digitized section image. One of the methods used to process these images is erosion–dilation, wherein layers of each pore are stripped off (erosion) and then replaced (dilation). This results in a smoothing of the pore perimeters and can be used to estimate pore radii, volume, and roughness. Because of the size of each image, erosion–dilation of images of the pore complex of reservoir rocks is a time-consuming process. A new method called global erosion is much faster, with no increase in memory requirement or decrease in accuracy. This should permit the processing of larger images or a greater number of small images than does the standard method.


2018 ◽  
Author(s):  
Davud Davudov ◽  
Rouzbeh Ghanbarnezhad Moghanloo ◽  
Yuzheng Lan

1995 ◽  
Vol 10 (04) ◽  
pp. 207-214 ◽  
Author(s):  
Zaki Harari ◽  
Wang Shu-Teh ◽  
Saner Salih

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