Changchun Zou
China University of Geosciences
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Featured researches published by Changchun Zou.
Acta Geophysica | 2014
Liang Xiao; xiao-peng Liu; Changchun Zou; Xiao-xin Hu; Zhi-qiang Mao; Yujiang Shi; Hao-peng Guo; Gaoren Li
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 T2cutoff 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.
Journal of Canadian Petroleum Technology | 2013
Liang Xiao; xiao-peng Liu; Zhi-qiang Mao; Changchun Zou; Xiao-xin Hu; Yan Jin
Liang Xiao and Chang-chun Zou, China University of Geosciences and School of Geophysics and Information Technology, Beijing, and Ministry of Education; Zhi-qiang Mao, State Key Laboratory of Petroleum Resources and Prospecting and Beijing City Key Laboratory of Earth Prospecting and Information Technology, China University of Petroleum; Xiao-peng Liu and Xiao-xin Hu, Geological Exploration and Development Research Institute of Geological Exploration and Development Research Institute of Chuanqing Drilling Engineering Company Limited; Yan Jin, Southwest Oil and Gas Field Branch Company, PetroChina
Geosciences Journal | 2018
Xiaohuan Zhang; Changchun Zou; Jinhuan Zhao; Ning Li; Shuxia Zhang; Kouamelan Serge Kouamelan; Liang Xiao; Huolin Ma; Yixiong Niu
The second continental scientific drilling (SKII east) borehole in the Songliao Basin has been planned to be the deepest borehole to drill through the Cretaceous continental strata under the framework of the International Continental Scientific Drilling Program (ICDP) up to date. This borehole was designed not only to explore the potential relationships between dinosaur extinction and climate environment during the Cretaceous but also to achieve new breakthroughs in oil and gas exploration. The high hydrocarbon (oil and gas) potential of a source rock is highly dependent on its organic content. We used geophysical log data of Borehole SKII east to evaluate the organic content of organic-rich source rock. In the period of the first member in the Qingshankou Formation (K2qn1) from the study area, high accommodation space and anoxic environment could promote organic matter deposition. Firstly, based on geological information and abundant geophysical log data, the basic geophysical characteristics (including petrophysical, lithological, mineralogical, and sedimentary properties) of the Qingshankou Formation in Borehole SKII east were studied. Secondly, geophysical log response characteristics (including resistivity, porosity, radioactivity, mineral and element) of organic-rich source rocks were analyzed. Thirdly, we tried to obtain suitable methods to predict total organic carbon (TOC) content of the target formation with geophysical log data. The laboratorymeasured TOC values of core samples from Borehole SKI south were used to make calibrations with calculated TOC values from geophysical logs. Results from improved ΔlogR technique and Dual_Vsh method are consistent, and indicate that these two methods are effective in this formation. The calculated TOC values from these two methods are relatively desirable, and show that the organic-rich source rocks with high TOC content occurred in the K2qn1 (1646.00~1669.00 m). The highest TOC content can reach 9.15%. The bed thicknesses of organic-rich source rocks are totally up to 7.88 m. These organic-rich source rocks can be considered as excellent. This study demonstrated that improve ΔlogR technique can be applied to evaluate source rocks in the formations without maturity data, and the new method Dual_Vsh is also valid in the Qingshankou Formation. The organic-rich source rock evaluation results could promote further exploration and development of oil and gas resources in the upper Cretaceous formations, Songliao Basin.
Acta Geophysica | 2015
Kun Xiao; Changchun Zou; Changqing Yu; Jinyun Pi
Audio-magnetotelluric (AMT) method is a kind of frequency-domain sounding technique, which can be applied to gas hydrate prospecting and assessments in the permafrost region due to its high frequency band. Based on the geological conditions of gas hydrate reservoir in the Qilian Mountain permafrost, by establishing high-resistance abnormal model for gas hydrate and carrying out numerical simulation using finite element method (FEM) and nonlinear conjugate gradient (NLCG) method, this paper analyzed the application range of AMT method and the best acquisition parameters setting scheme. When porosity of gas hydrate reservoir is less than 5%, gas hydrate saturation is greater than 70%, occurrence scale is less than 50 m, or bury depth is greater than 500 m, AMT technique cannot identify and delineate the favorable gas hydrate reservoir. Survey line should be more than twice the length of probable occurrence scale, while tripling the length will make the best result. The number of stations should be no less than 6, and 11 stations are optimal. At the high frequency section (10∼1000 Hz), there should be no less than 3 frequency points, 4 being the best number.
Journal of Petroleum Science and Engineering | 2016
Liang Xiao; Zhi-qiang Mao; Changchun Zou; Yan Jin; Ji-chang Zhu
Journal of Petroleum Science and Engineering | 2013
Liang Xiao; Changchun Zou; Zhi-qiang Mao; Yujiang Shi; xiao-peng Liu; Yan Jin; Hao-peng Guo; Xiao-xin Hu
Fuel | 2017
Cheng Peng; Changchun Zou; Tianning Zhou; Kang Li; Yuqing Yang; Guohua Zhang; Wenwen Wang
Journal of Petroleum Science and Engineering | 2016
Liang Xiao; Changchun Zou; Zhi-qiang Mao; Yan Jin; Ji-chang Zhu
Journal of Petroleum Science and Engineering | 2016
Liang Xiao; Changchun Zou; Zhi-qiang Mao; Yan Jin; Yujiang Shi; Hao-peng Guo; Gaoren Li
Journal of Petroleum Science and Engineering | 2017
Cheng Peng; Changchun Zou; Yuqing Yang; Guohua Zhang; Wenwen Wang