NDLI: Reservoir parameter inversion based on weighted statistics

Content Provider	Springer Nature Link
Author	Gui, Jin Yong Gao, Jian Hu Yong, Xue Shan Li, Sheng Jun Liu, Bin Yang Zhao, Wan Jin
Copyright Year	2015
Abstract	Variation of reservoir physical properties can cause changes in its elastic parameters. However, this is not a simple linear relation. Furthermore, the lack of observations, data overlap, noise interference, and idealized models increases the uncertainties of the inversion result. Thus, we propose an inversion method that is different from traditional statistical rock physics modeling. First, we use deterministic and stochastic rock physics models considering the uncertainties of elastic parameters obtained by prestack seismic inversion and introduce weighting coefficients to establish a weighted statistical relation between reservoir and elastic parameters. Second, based on the weighted statistical relation, we use Markov chain Monte Carlo simulations to generate the random joint distribution space of reservoir and elastic parameters that serves as a sample solution space of an objective function. Finally, we propose a fast solution criterion to maximize the posterior probability density and obtain reservoir parameters. The method has high efficiency and application potential.
Starting Page	523
Ending Page	532
Page Count	10
File Format	PDF
ISSN	16727975
Journal	Applied Geophysics
Volume Number	12
Issue Number	4
e-ISSN	19930658
Language	English
Publisher	Chinese Geophysical Society
Publisher Date	2016-01-12
Publisher Place	Beijing
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Reservoir parameters inversion weighted statistics Bayesian framework stochastic simulation Geophysics/Geodesy Geotechnical Engineering & Applied Earth Sciences
Content Type	Text
Resource Type	Article
Subject	Geophysics

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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