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Comparative study of models for predicting permeability from nuclear magnetic resonance (NMR) logs in two Chinese tight sandstone reservoirs |
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| Authors: | Liang Xiao Xiao-Peng Liu Chang-Chun Zou Xiao-Xin Hu Zhi-Qiang Mao Yu-Jiang Shi Hao-Peng Guo Gao-Ren Li |
| Affiliation: | 1. Key Laboratory of Geo-detection (China University of Geosciences), Ministry of Education, Beijing, China 2. School of Geophysics and Information Technology, China University of Geosciences, Beijing, China 3. Geological Exploration and Development Research Institute Sichuan-Changqing Drilling and Exploration Engineering Co., Chengdu, China 4. State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing, China 5. Research Institute of Exploration and Development, Changqing Oilfield, PetroChina, Xi’an, China |
| Abstract: | Based on the analysis of mercury injection capillary pressure (MICP) and nuclear magnetic resonance (NMR) experimental data for core plugs, which were drilled from two Chinese tight sandstone reservoirs, permeability prediction models, such as the classical SDR, Timur-Coates, the Swanson parameter, the Capillary Parachor, the R10 and R35 models, are calibrated to estimating permeabilities from field NMR logs, and the applicabilities of these permeability prediction models are compared. The processing results of several field examples show that the SDR model is unavailable in tight sandstone reservoirs. The Timur-Coates model is effective once the optimal T 2cutoff can be acquired to accurately calculate FFI and BVI from field NMR logs. The Swanson parameter model and the Capillary Parachor model are not always available in tight sandstone reservoirs. The R35 based model cannot effectively work in tight sandstone reservoirs, while the R10 based model is optimal in permeability prediction. |
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