| Citation: |
MA Fengchun, CHEN Xiaodong, WANG Lin, YANG Cheng, MEI Hua, TANG Li, YANG Yue, WANG Jingru, ZHOU Yan, ZHAO Weiyong, YANG Honggang, LI Zhaoliang, LIU Yao, WANG Shengxiang. 2021. Study on the Productivity Classification and Prediction of Thin Interbedded Reservoir in the Changjing Section of Yingdong Oilfield,Qaidam Basin. Northwestern Geology, 54(2): 179-186. doi: 10.19751/j.cnki.61-1149/p.2021.02.015
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Study on the Productivity Classification and Prediction of Thin Interbedded Reservoir in the Changjing Section of Yingdong Oilfield,Qaidam Basin
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Abstract
In the Changjing section of Yingdong Oilfield, Qaidam Basin,the heterogeneity in interlayers and the uncertain production capacity caused many problems under the circumstances of low price.The authors use seepage coefficient, storage coefficient and oil saturation as the fisher discriminant function to quantitatively evaluatethe reservoir productivity.The conformity rate of the theoretical model is above 80%,compared to the actual production data and the theoretical functions, meeting the need of reservoir development.The research providesa basis for the comprehensive use of monolayer sand body, the deployment of the production capacity and the prediction and utilization of the reservoir.-
Keywords:
- Qaidam basin /
- Changjing section /
- capacity /
- heterogeneity /
- discriminant function
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References
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MA Fengchun, CHEN Xiaodong, WANG Lin, YANG Cheng, MEI Hua, TANG Li, YANG Yue, WANG Jingru, ZHOU Yan, ZHAO Weiyong, YANG Honggang, LI Zhaoliang, LIU Yao, WANG Shengxiang. 2021. Study on the Productivity Classification and Prediction of Thin Interbedded Reservoir in the Changjing Section of Yingdong Oilfield,Qaidam Basin. Northwestern Geology, 54(2): 179-186. doi: 10.19751/j.cnki.61-1149/p.2021.02.015
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