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Article type: Research Article
Authors: Deng, Ruia; b; * | Sun, Jiana | Qiu, Jinquanc
Affiliations: [a] Key Lab of Exploration Technologies for Oil and Gas Resources, Ministry of Education, Yangtze University, Wuhan, Hubei 430100, China | [b] State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Chengdu University of Technology, Chengdu, Sichuan 610059, China | [c] Well Testing Company, Qinghai Oilfield, Mangya, Qinghai 816499, China
Correspondence: [*] Corresponding author: Rui Deng, Key Lab of Exploration Technologies for Oil and Gas Resources, Ministry of Education, Yangtze University, Wuhan, Hubei 430100, China. E-mail: 732677035@qq.com.
Abstract: According to characteristics of carbonate fracture-cave reservoir and applying imaging logging data with high resolution and abundant information, combining calculated cementation exponent of conventional logging data, the thesis calculates qualitative recognition fluid property of apparent formation water resistivity spectrum. The thesis crosses mean and variance of apparent formation water resistivity spectrum of different wells in different areas, sets standard to fluid recognition and recognizes fluid property quantitatively.
Keywords: Fluid properties, electrical imaging, imaging logging, fluid recognition, apparent formation water resistivity
DOI: 10.3233/JCM-193970
Journal: Journal of Computational Methods in Sciences and Engineering, vol. 20, no. 2, pp. 621-627, 2020
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