Reservoir Evaluation and Development ›› 2018, Vol. 8 ›› Issue (1): 1-3.

• Reservoir Geology • Previous Articles     Next Articles

Application of maximum entropy spectrum decomposition combined with wavelet transform in the division of sequence stratigraphy

Lu Wei,Li Guofu   

  1. (Exploitation and Development Research Institute, PetroChina Daqing Oilfield Company, Daqing, Heilongjiang 163712, China)
  • Received:2017-04-25 Online:2018-02-26 Published:2018-12-05


Due to the fine resolution and continuity of the well log, it plays an irreplaceable role in the high frequency sequence stratigraphic division. By the adoption of the maximum entropy spectrum decomposition technology to analyze the predication error of the well log, the prediction error trend curve is obtained by further calculation. The wavelet transform technology transforms the one-dimensional depth domain logging signals into the two-dimensional depth and the scale domain logging signals. And the organic combination of the two techniques can well identify the multi-order sedimentary cycles of the stratum, so the interferences of the human factors are greatly reduced. The high frequency stratigraphic sequence division of the actual log data in Bayanhushu Sag is conducted by using this method, and the application effect is good.

Key words: maximum entropy spectrum decomposition, prediction error, wavelet transform, sedimentary cycle, stratigraphic sequence

CLC Number: 

  • TE121.34