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A novel model of predicting Archie’s cementation factor from nuclear magnetic resonance (NMR) logs in low permeability reservoirs

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A novel model of predicting Archie’s cementation factor from nuclear magnetic resonance (NMR) logs in low permeability reservoirs

Content Provider	Springer Nature Link
Author	Wang, Liang Mao, Zhiqiang Shi, Yujiang Tao, Qin’e Cheng, Yumei Song, Yong
Copyright Year	2014
Abstract	The resistivity experimental measurements of core samples drilled from low permeability reservoirs of Ordos Basin, Northwest China, illustrate that the cementation factors are not agminate, but vary from 1.335 to 1.749. This leads to a challenge for the estimation of water and hydrocarbon saturation. Based on the analysis of Purcell equation and assumption that rock resistivity is determined by the parallel connection of numerous capillary resistances, a theoretical expression of cementation factor in terms of porosity and permeability is established. Then, cementation factor can be calculated if the parameters of porosity and permeability are determined. In the field application, porosity can be easily obtained by conventional logs. However, it is a tough challenge to estimate permeability due to the strong heterogeneity of low permeability reservoirs. Thus, the Schlumberger Doll Research (SDR) model derived from NMR logs has been proposed to estimate permeability. Based on the analysis of the theoretical expressions of cementation factor and SDR model, a novel cementation factor prediction model, which is relevant to porosity and logarithmic mean of NMR T $^{2}$ spectrum (T $_{2lm}$), is derived. The advantage of this model is that all the input information can be acquired from NMR logs accurately. In order to confirm the credibility of the novel model, the resistivity and corresponding laboratory NMR measurements of 27 core samples are conducted. The credibility of the model is confirmed by comparing the predicted cementation factors with the core analyzed results. The absolute errors for all core samples are lower than 0.071. Once this model is extended to field application, the accuracy of water and hydrocarbon saturation estimation will be significantly improved.
Starting Page	183
Ending Page	188
Page Count	6
File Format	PDF
ISSN	1674487X
Journal	Journal of Earth Science
Volume Number	25
Issue Number	1
e-ISSN	1867111X
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2014-01-24
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	cementation factor nuclear magnetic resonance (NMR) low permeability reservoir logarithmic mean of NMR T $_{2}$ spectrum saturation calculation Earth Sciences Geotechnical Engineering & Applied Earth Sciences Biogeosciences Geochemistry Geology
Content Type	Text
Resource Type	Article
Subject	Earth and Planetary Sciences

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