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논문검색

The Research and Application of Reservoir Identification Model Based on Smap-ED

초록

영어

In order to provide a scientific decisions for prospect new oil formation and reduce production costs, this paper proposed reservoir identification model based on Smap-ED. Using the actual seismic attribute data as the research object, the principles are analyzed to explore the reservoir recognition model , Through the experimental analysis of model of effectiveness evaluation indexes , the five models of applicability and effectiveness was comparative study from the relative index, external index and running time. The experimental results show model based on Smap-ED of seismic attribute data clustering effect is better than model based on S-Map and the running time of algorithm close to model based on SOM, this model can provide more effective support for scientific decision-making.

목차

Abstract
 1. Introduction
 2. Methodology
 3. Experiment
  3.1. The Best Cluster Number for Seismic Attribute Data Set
  3.2. An External Evaluation for The Rationality of the Model Results
 4. Comparison
  4.1. Comparative Analysis of Relative Index
  4.2. The Comparative Analysis of External Indexes
  4.3. The Comparative Analysis of Running Time
 5. Conclusion
 References

저자정보

  • Huoyou Li School of Information Engineering, Longyan University
  • Jia Zhao Information Science and Engineering School, Xiamen University
  • Dongyun Lin Information Science and Engineering School, Xiamen University
  • Jingsong Su Software School, Xiamen University
  • Qingqiang Wu Software School, Xiamen University
  • Qingqi Hong Software School, Xiamen University

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