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A New Production Splitting Method Based on Discrimination of Injection–Production Relation

  • Baorong Deng
  • Jiqun Zhang
  • Junhua Chang
  • Xinhao Li
  • Hua Li
  • Xianing Li
Conference paper
Part of the Springer Series in Geomechanics and Geoengineering book series (SSGG)

Abstract

The complex mature oil fields in China have been operated for a long history. During their exploration and development, a large amount of diverse production and research data with complicated formats were generated. The gradual penetration of geology research requires more precise reservoir analysis and research. Accordingly, it is urgent to make reservoir performance fine analysis for these mature oil fields using efficient and innovative data processing technologies. In this paper, multilayer water flooding reservoirs were discussed with multi-disciplinary data. Through automatic discrimination of injection–production relation by computer, vertical and horizontal water flow rates were analyzed quantitatively to diagnose the directions and layers of dominant water flow. Then, the productions of production well and water injection well were split by layers to clarify how the water injection affects the performance of production well. Compared with conventional methods, the proposed new method is more comprehensive and reasonable in application of data and more scientific and accurate in reservoir performance fine analysis. The software developed on this method has been applied in hundreds of reservoir blocks in Daqing, Jidong, Jilin, Liaohe, Xinjiang, and other oilfields. It is of significant guidance for evaluation on remaining oil potential and preparation of development adjustment plan for mature oil fields.

Keywords

Mature oil field Injection–production relation Dominant water flow Production split Reservoir performance fine analysis 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Baorong Deng
    • 1
  • Jiqun Zhang
    • 1
  • Junhua Chang
    • 1
  • Xinhao Li
    • 1
  • Hua Li
    • 1
  • Xianing Li
    • 1
  1. 1.Research Institute of Petroleum Exploration & Development, PetroChinaBeijingChina

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