Due to the interlayers of Donghe sandstone in the Hade reservoir possessing the characteristics of multi-stages and complicated in origin, the contradiction between injection and production become outstanding in the injection development oil field. How to identify the interlayers describe its spatial distribution accurately become the key to improve the recovery ratio of the Hade reservoir. According to the interlayers of Donghe sandstone being thin, its logging response value is greatly affected by the surrounding rock. In order to obtain the real logging value of the interlayers, the geometry factors of the density logging and natural gamma logging are deduced. Based on the noise size of logging data, the deconvolution algorithm are optimized and used to improve the logging curve resolution. Then the method is applied to the Hade oil field to identify the interlayers of Donghe sandstone. The density curve values before and after high resolution processed are compared with the density values of core measured by experiment. The result shows that the density curve values after high resolution processed are more close to the cores’. And compared the interlayers identified result by logging cures to the interlayers’ identified by core observation. Both show the consistent results. At last, the identified interlayers are used to establish the stratigraphic framework, simulate the reservoir dynamic production. The results are consistent with the production dynamic data. These all confirmed the valid of the identified interlayers.

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The Research on Improving the Logging Curve Resolution and Identifying the Interlayers

  • Ruo-kun Huang,
  • Wei-ping Luo,
  • Yuan-da Su,
  • Xing-neng Wu,
  • Wen-xing Duan,
  • Xin-bo Zhou

摘要

Due to the interlayers of Donghe sandstone in the Hade reservoir possessing the characteristics of multi-stages and complicated in origin, the contradiction between injection and production become outstanding in the injection development oil field. How to identify the interlayers describe its spatial distribution accurately become the key to improve the recovery ratio of the Hade reservoir. According to the interlayers of Donghe sandstone being thin, its logging response value is greatly affected by the surrounding rock. In order to obtain the real logging value of the interlayers, the geometry factors of the density logging and natural gamma logging are deduced. Based on the noise size of logging data, the deconvolution algorithm are optimized and used to improve the logging curve resolution. Then the method is applied to the Hade oil field to identify the interlayers of Donghe sandstone. The density curve values before and after high resolution processed are compared with the density values of core measured by experiment. The result shows that the density curve values after high resolution processed are more close to the cores’. And compared the interlayers identified result by logging cures to the interlayers’ identified by core observation. Both show the consistent results. At last, the identified interlayers are used to establish the stratigraphic framework, simulate the reservoir dynamic production. The results are consistent with the production dynamic data. These all confirmed the valid of the identified interlayers.