[an error occurred while processing this directive] Global Geology 2019, 22(1) 21-28 DOI:   10.3969/j.issn.1673-9736.2019.01.03  ISSN: 1673-9736 CN: 22-1371/P
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carbonate reservoirs
rock physics modeling
critical porosity
Bayesian estimation
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LI Bonan
PubMed
Article by Li B
Carbonate pore type characterization using a statistical inversion method
LI Bonan1,2
1. Sinopec Geophysical Research Institute, Nanjing, 211103, China;
2. School of Geosciences, China University of Petroleum, Qingdao 266580, Shandong, China
ժҪ�� For carbonate reservoirs,vertical pore type heterogeneity records regional depositional history.How-ever,from the geophysics point of view,these microscopic characteristics cannot be described with conventional data-driven approaches.The author presents an upscale rock physics model which includes both modeling and inverting schemes in this study.According to the statistical comparability between lab measurements and well logs,the main idea is to study and utilize inherent statistical features in naturally occurred carbonate rocks.Firstly,using the critical porosity model as rock physical theory,relationships are built between pore structures and elastic responses.Furthermore,in logging data scale,key parameters are estimated through a statistical method,and thus pore types are classified.The methodology is successfully applied in the well YS1.It is be-lieved that this method will be a promising tool on handing pore complexity and inversion uncertainty in carbon-ate reservoir exploration.
�ؼ����� carbonate reservoirs   rock physics modeling   critical porosity   Bayesian estimation  
Carbonate pore type characterization using a statistical inversion method
LI Bonan1,2
1. Sinopec Geophysical Research Institute, Nanjing, 211103, China;
2. School of Geosciences, China University of Petroleum, Qingdao 266580, Shandong, China
Abstract: For carbonate reservoirs,vertical pore type heterogeneity records regional depositional history.How-ever,from the geophysics point of view,these microscopic characteristics cannot be described with conventional data-driven approaches.The author presents an upscale rock physics model which includes both modeling and inverting schemes in this study.According to the statistical comparability between lab measurements and well logs,the main idea is to study and utilize inherent statistical features in naturally occurred carbonate rocks.Firstly,using the critical porosity model as rock physical theory,relationships are built between pore structures and elastic responses.Furthermore,in logging data scale,key parameters are estimated through a statistical method,and thus pore types are classified.The methodology is successfully applied in the well YS1.It is be-lieved that this method will be a promising tool on handing pore complexity and inversion uncertainty in carbon-ate reservoir exploration.
Keywords: carbonate reservoirs   rock physics modeling   critical porosity   Bayesian estimation  
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DOI: 10.3969/j.issn.1673-9736.2019.01.03
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Supported by National Science and Technology Major Project (No.2016ZX05014-001-001).

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