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Geoscience ›› 2015, Vol. 29 ›› Issue (6): 1444-1453.

• Engineering Geology and Environmental Geology • Previous Articles     Next Articles

Application of Geological Knowledge Database of Modern Meandering River Based on Satellite Image

QIAO Hui1, WANG Zhi-zhang2, LI Li3, LI Hai-ming2, PAN Lu2, WANG Kai-yu2   

  1. (1. Research Institute of Petroleum Exploration & Development, PetroChina, Beijing 100083,China; 2. College of Geosciences, China University of Petroleum, Beijing 102249,China; 3. Exploration and Production Research Institute, SINOPEC, Beijing 100083,China)
  • Online:2015-12-24 Published:2016-02-29

Abstract:

Reservoir of the meandering river has a large proportion in oilfields of China, so it is important to establish geological knowledge database for a further study on fluvial reservoir. Observing characteristics of meandering river by GoogleEarth software, we establish six kinds of meandering river development mode, measure channel parameter data and analysis the statistical correlation between the parameters. There are six kinds of meandering river development mode: low bending small point bar development type of single channel, high bending large point bar development type of single channel, low bending small point bar development type of simple channel, high bending large point bar development type of simple channel, low bending small point bar development type of multiple channel, high bending large point bar development type of multiple channel. Statistical analysis of the measured data shows that there are good correlations between channel width and point bar length, channel width and meander belt width, point bar width and point bar length of meandering rivers. The correlation coefficients of meandering rivers are higher than that in the condition of different curvatures divided into 1.1-1.5、1.5-2.5、2.5-4.5. Therefore, a meandering river qualitative model was built, and quantitative model of meandering river under different curvature were also established. The results of the study can provide a corresponding model and quantitative guidance for underground meandering river reservoir research.

Key words: meandering river, geological knowledge database, GoogleEarth, qualitative model, quantitativemodel

CLC Number: