Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Changchun Zou is active.

Publication


Featured researches published by Changchun Zou.


Acta Geophysica | 2014

Comparative study of models for predicting permeability from nuclear magnetic resonance (NMR) logs in two Chinese tight sandstone reservoirs

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

Tight-Gas-Sand Permeability Estimation From Nuclear-Magnetic-Resonance (NMR) Logs Based on the Hydraulic-Flow-Unit (HFU) Approach

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

Organic-rich source rock characterization and evaluation of the Cretaceous Qingshankou Formation: results from geophysical logs of the second scientific drilling borehole in the Songliao Basin, NE China

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

Numerical Simulation of Response Characteristics of Audio-magnetotelluric for Gas Hydrate in the Qilian Mountain Permafrost, China

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

A new methodology of constructing pseudo capillary pressure (Pc) curves from nuclear magnetic resonance (NMR) logs

Liang Xiao; Zhi-qiang Mao; Changchun Zou; Yan Jin; Ji-chang Zhu


Journal of Petroleum Science and Engineering | 2013

Estimation of water saturation from nuclear magnetic resonance (NMR) and conventional logs in low permeability sandstone reservoirs

Liang Xiao; Changchun Zou; Zhi-qiang Mao; Yujiang Shi; xiao-peng Liu; Yan Jin; Hao-peng Guo; Xiao-xin Hu


Fuel | 2017

Factors affecting coalbed methane (CBM) well productivity in the Shizhuangnan block of southern Qinshui basin, North China: Investigation by geophysical log, experiment and production data

Cheng Peng; Changchun Zou; Tianning Zhou; Kang Li; Yuqing Yang; Guohua Zhang; Wenwen Wang


Journal of Petroleum Science and Engineering | 2016

A new technique for synthetizing capillary pressure (Pc) curves using NMR logs in tight gas sandstone reservoirs

Liang Xiao; Changchun Zou; Zhi-qiang Mao; Yan Jin; Ji-chang Zhu


Journal of Petroleum Science and Engineering | 2016

An empirical approach of evaluating tight sandstone reservoir pore structure in the absence of NMR logs

Liang Xiao; Changchun Zou; Zhi-qiang Mao; Yan Jin; Yujiang Shi; Hao-peng Guo; Gaoren Li


Journal of Petroleum Science and Engineering | 2017

Fractal analysis of high rank coal from southeast Qinshui basin by using gas adsorption and mercury porosimetry

Cheng Peng; Changchun Zou; Yuqing Yang; Guohua Zhang; Wenwen Wang

Collaboration


Dive into the Changchun Zou's collaboration.

Top Co-Authors

Avatar

Liang Xiao

China University of Geosciences

View shared research outputs
Top Co-Authors

Avatar

Cheng Peng

China University of Geosciences

View shared research outputs
Top Co-Authors

Avatar

Zhi-qiang Mao

China University of Petroleum

View shared research outputs
Top Co-Authors

Avatar

Shuxia Zhang

China University of Geosciences

View shared research outputs
Top Co-Authors

Avatar

Xiao-xin Hu

China National Petroleum Corporation

View shared research outputs
Top Co-Authors

Avatar

Yixiong Niu

China Geological Survey

View shared research outputs
Top Co-Authors

Avatar

xiao-peng Liu

China National Petroleum Corporation

View shared research outputs
Top Co-Authors

Avatar

Hua Wang

Massachusetts Institute of Technology

View shared research outputs
Top Co-Authors

Avatar

Ji-chang Zhu

China University of Geosciences

View shared research outputs
Top Co-Authors

Avatar

Jinhuan Zhao

China University of Geosciences

View shared research outputs
Researchain Logo
Decentralizing Knowledge