A method of improving sensitivity of carbon/oxygen well logging for low porosity formation

被引：8

作者：

Liu J. ^{[1
,2
]}

Zhang F. ^{[1
,3
]}

Zhang Q. ^{[1
]}

Hou G. ^{[2
]}

Zhang H. ^{[2
]}

Ding F. ^{[4
]}

机构：

[1] School of Geosciences in China University of Petroleum, Qingdao

[2] Department of Nuclear Engineering, North Carolina State University, Raleigh

[3] CNPC Key Laboratory for Well Logging in China University of Petroleum, Qingdao

[4] China Petroleum Logging Company Limited, Xi'an

来源：

Zhongguo Shiyou Daxue Xuebao (Ziran Kexue Ban)/Journal of China University of Petroleum (Edition of Natural Science) | 2016年 / 40卷 / 06期

关键词：

Carbon/oxygen spectral logging; Formation model; Low porosity reservoir; Monte Carlo method; Nonlinearity fitting; Nuclear logging; Response sensitivity; Standard spectra;

D O I：

10.3969/j.issn.1673-5005.2016.06.007

中图分类号：

学科分类号：

摘要：

Carbon/Oxygen (C/O) spectral logging technique has been widely used to determine residual oil saturation and the evaluation of water flooded layer. In order to improve the sensitivity of the technique for low-porosity formation, Gaussian and linear models are applied to fit the peaks of measured spectra to obtain the characteristic coefficients. Standard spectra of carbon and oxygen are combined to establish a new carbon/oxygen value calculation method, and the robustness of the new method is cross-validated with known mixed gamma ray spectrum. Formation models for different porosities and saturations are built using Monte Carlo method. The responses of carbon/oxygen which are calculated by conventional energy window method, and the new method is applied to oil saturation under low porosity conditions. The results show the new method can reduce the effects of gamma rays contaminated by the interaction between neutrons and other elements on carbon/oxygen ratio, and therefore can significantly improve the response sensitivity of carbon/oxygen well logging to oil saturation. The new method improves greatly carbon/oxygen well logging in low porosity conditions. © 2016, Periodical Office of China University of Petroleum. All right reserved.

引用

页码：57 / 62

页数：5

共 19 条

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