A critical review on pore to continuum scale imaging techniques for enhanced shale gas recovery

被引:82
作者
Chandra, Debanjan [1 ]
Vishal, Vikram [1 ,2 ,3 ]
机构
[1] Indian Inst Technol, Dept Earth Sci, Computat & Expt Geomech Lab, Mumbai 400076, Maharashtra, India
[2] Monash Univ, Fac Engn, Dept Civil Engn, Melbourne, Vic 3800, Australia
[3] Indian Inst Technol, Interdisciplinary Programme Climate Studies, Mumbai 400076, Maharashtra, India
关键词
Shale; Flow modeling; Pore network modeling; Imaging; Image analysis; Digital reconstruction; POSITRON-EMISSION-TOMOGRAPHY; LONGMAXI FORMATION SHALE; ATOMIC-FORCE MICROSCOPY; APPARENT PERMEABILITY MODEL; MATURE POSIDONIA SHALE; ORGANIC-MATTER; OIL-SHALE; SICHUAN BASIN; POROUS-MEDIA; RELATIVE PERMEABILITY;
D O I
10.1016/j.earscirev.2021.103638
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Imaging and image analysis of shale provides insights into the pore and fracture networks, disposition of compositional elements, and signatures of diagenesis and fluid flow. Extraction of features and reconstruction to get highly accurate models of shales using image analysis involves various techniques and tools. The present paper reviews different 3D and 2D imaging methods, their advantages, and limitations, along with recommendations on making the most appropriate choice for visualization of desired features and their applications. While fractures and other elements of deformation can be well resolved using X-ray CT, the FIB-SEM is a better suited 3D imaging tool for resolving the nano-scale pore attributes of shale. Among 2D imaging methods, TEM can provide direct information on the micropores (<2 nm), which cannot be obtained using SEM imaging. The paper discusses guidelines on filtering, thresholding, and optimization, with a special emphasis on image segmentation and feature extraction that may be selected based on the problem definition. It was found that adopting multiple imaging methods can provide a plethora of complementary attributes; however, the scale of observation can vary up to three orders of magnitude, which may lead to inaccurate upscaling. Experimental methods such as lowpressure gas adsorption, NMR, and small-angle scattering can not only validate the results of imaging but also extend the range of identification of pore characteristics to deliver a highly comprehensive understanding of shales. Choice of imaging tools and their combinations, appropriate sample preparation protocols, application of machine learning and advanced numerical simulation, and validation with native sub-surface will remain key to the applicability of imaging in unlocking the full potential of shale as a reservoir.
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页数:28
相关论文
共 328 条
[1]   Chemical heterogeneity of organic matter at nanoscale by AFM-based IR spectroscopy [J].
Abarghani, Arash ;
Gentzis, Thomas ;
Shokouhimehr, Mohammadreza ;
Liu, Bo ;
Ostadhassan, Mehdi .
FUEL, 2020, 261
[2]  
Abbe E., 1874, Proceedings of the Bristol Naturalists' Society, P200
[3]  
Akbarabadi M., 2014, P 2 UNC RES TECHN C, DOI [10.15530/urtec-2014-1922555, DOI 10.15530/URTEC-2014-1922555]
[4]  
Akin S, 2003, GEOL SOC SPEC PUBL, V215, P23, DOI 10.1144/GSL.SP.2003.215.01.03
[5]   Comparisons of pore size distribution: A case from the Western Australian gas shale formations [J].
Al Hinai, Adnan ;
Rezaee, Reza ;
Esteban, Lionel ;
Labani, Mehdi .
JOURNAL OF UNCONVENTIONAL OIL AND GAS RESOURCES, 2014, 8 (0C) :1-13
[6]   An in situ FTIR step-scan photoacoustic investigation of kerogen and minerals in oil shale [J].
Alstadt, Kristin N. ;
Katti, Dinesh R. ;
Katti, Kalpana S. .
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2012, 89 :105-113
[7]  
Andrew M, 2018, GEOL SOC LOND SPEC P, DOI [10.1144/sp484.4.SP484.4-SP484.4, DOI 10.1144/SP484.4.SP484.4-SP484.4]
[8]   A quantified study of segmentation techniques on synthetic geological XRM and FIB-SEM images [J].
Andrew, Matthew .
COMPUTATIONAL GEOSCIENCES, 2018, 22 (06) :1503-1512
[9]  
[Anonymous], 2012, QUANT MINERAL MICROA
[10]  
[Anonymous], SOC PET ENG J, DOI DOI 10.2118/106995-MS