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Article Navigation >  Acta Sedimentologica Sinica  > 1996  >  14(1): 40-46

Wen Zheng, Yong Shihe, Wang Zhongwen. Quantitative Discrimination of Sedimentary Microfacies by Using Well Log Data[J]. Acta Sedimentologica Sinica, 1996, 14(1): 40-46.
Citation: Wen Zheng, Yong Shihe, Wang Zhongwen. Quantitative Discrimination of Sedimentary Microfacies by Using Well Log Data[J]. Acta Sedimentologica Sinica, 1996, 14(1): 40-46.
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Quantitative Discrimination of Sedimentary Microfacies by Using Well Log Data

  • University of Petroleum. Dongying 257062

  • Received Date: 1994-12-02
  • Publish Date: 1996-03-10
  • The characteristic parameters of sedimentary microfacies are extracted by using well logs and geological parameter curves.The digital well logmicrofacies model of the Chengdao oil field is established by means of the principal component analysis and fuzzy K-A average cluster method. The software of automatically and continuously discriminating microfacies based on the above-mentioned method has been developed. The well logging data of several wells located in the Chengdao oilfield have been processed by this software. The results well coincide with the micro factes that are determined by geologists. It has been demonstrated that the suggested methods are successful, the software is feasible. This paper presents the results of processing well log data in Well CB 20-1.
  • [1] 1.于崇文等，数字地质的方法与应用，冶金工业出版社，1980。

    2.汪培庄，模糊集合论及应用，上海科学技术出版社，1983。

    3.王仁铎，利用测井曲线形态特征定量判别沉积相，地球科学，16(3)。

    4.李元元等，自然伽玛数字差别法研究沉积微相，沉积学报，1991,9(4)。

    5.廖光明等，模糊模式识别沉积相，地球物理测井，1991(15)。

    6.O. Serra, Sedimentary environments from wireling logs.Schlumberger,1985.
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  • Received:  1994-12-02
  • Published:  1996-03-10

Quantitative Discrimination of Sedimentary Microfacies by Using Well Log Data

  • University of Petroleum. Dongying 257062
  • Received Date: 1994-12-02
  • Publish Date: 1996-03-10

Abstract: The characteristic parameters of sedimentary microfacies are extracted by using well logs and geological parameter curves.The digital well logmicrofacies model of the Chengdao oil field is established by means of the principal component analysis and fuzzy K-A average cluster method. The software of automatically and continuously discriminating microfacies based on the above-mentioned method has been developed. The well logging data of several wells located in the Chengdao oilfield have been processed by this software. The results well coincide with the micro factes that are determined by geologists. It has been demonstrated that the suggested methods are successful, the software is feasible. This paper presents the results of processing well log data in Well CB 20-1.

Wen Zheng, Yong Shihe, Wang Zhongwen. Quantitative Discrimination of Sedimentary Microfacies by Using Well Log Data[J]. Acta Sedimentologica Sinica, 1996, 14(1): 40-46.
Citation: Wen Zheng, Yong Shihe, Wang Zhongwen. Quantitative Discrimination of Sedimentary Microfacies by Using Well Log Data[J]. Acta Sedimentologica Sinica, 1996, 14(1): 40-46.
shu

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