Oil & Gas Geology ›› 2013, Vol. 34 ›› Issue (4): 564-572.doi: 10.11743/ogg20130420

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Application of comprehensive prediction error filter analysis to stratigraphic division and isochronous correlation

Liu Luofu1,2, Xu Jingling3,4, Gao Peng5, Zou Changchun3,4, Wang Yuanzheng6, Xu Xinyu7   

  1. 1. State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing 102249, China;
    2. School of Geosciences, China University of Petroleum, Beijing 102249, China;
    3. Ministry of Education Key Laboratory of Geo-detection, China University of Geosciences, Beijing 100083, China;
    4. School of Geophysics and Information Technology, China University of Geosciences, Beijing 100083, China;
    5. No.2 Oil Production Plant, Daqing Oilfield Conpany, Daqing, Heilongjiang 163257, China;
    6. Technology Research Institute of Onshore Oilfield, PetroChina Jidong Oilfield Company, PetroChina Tanghai, Hebei 063200, China;
    7. PetroChina International Exploration & Development Company, Beijing 100034, China
  • Received:2013-03-05 Revised:2013-07-05 Online:2013-08-28 Published:2013-08-27

Abstract: Aiming at solving the problems such as difficulty in stratigraphic division,subjectivity and ambiguity of stratigraphic correlation,this paper studied the superimposition sequence and cycle structures of strata and established corresponding geological models based on the analysis of the sedimentary sequences on outcrops and cores.We converted the structures of sedimentary cycles into signals of numerical simulation via the geological model.According to the features of the signals,we proposed the comprehensive prediction error filter method and presented its principle,steps and functions.Frequency trend lines that can reflect the stratigraphic superimposition and structures of sedimentary cycles were extracted through processing of the simulation signals,and were linked indirectly with the changes of the sedimentary environment and base level.Therefore,we can find the inflection points and trends that reflect the same isochronous stratigraphic surfaces.According to the inflection points and trends,we can perform isochronous stratigraphic comparison,providing a solid basis for precise stratigraphic division and isochronous comparison.Processing of real logging data shows that this method is valid.

Key words: logging data, filter analysis, isochronous correlation, stratigraphic division

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