›› 2012, Vol. 33 ›› Issue (5): 1-1.

• 论文 •    

高分辨率地震解释预测礁滩相储集层

吕其彪a,吴清杰a,毕有益b   

  1. (中国石化 西南油气田分公司 a.勘探开发研究院 德阳分院,四川 德阳 618000;b.勘探开发研究院,成都 610081)
  • 出版日期:2019-01-01 发布日期:1905-07-12

Prediction of ReepFlat Reservoir Using High Resolution Seismic Interpretation

L? Qibiao1, WU Qingjie1, BI Youyi2   

  1. (1.Deyang Branch, Research Institute of Exploration and Development, Southwest OilGas Field Company, Sinopec, Deyang, Sichuan 618000, China; 2. Research Institute of Exploration and Development, Southwest OilGas Field Company, Sinopec, Chengdu, Sichuan 610081, China)
  • Online:2019-01-01 Published:1905-07-12

摘要: 川东北元坝地区长兴组礁滩相碳酸盐岩储集层埋深平均为7 000 m,厚度小,非均质性强,储集层与非储集层纵波阻抗叠置,叠后地震纵波阻抗反演不能满足目前该地区勘探开发一体化需要。为充分利用地震信息进行高精度储集层预测及降低预测的不确定性和钻井风险,开展了叠前地质统计学反演研究。该方法综合地震振幅随偏移距的变化(AVO)信息、测井及地质认识,运用岩石物理建模,在地质格架模型约束下,以地震数据为硬约束,进行叠前地质统计学反演,得到岩性反演剖面。反演结果纵向和横向分辨率高,平面预测规律可靠,可有效地实现薄储集层的反演和预测,提高了储集层预测精度,降低了钻井风险。

Abstract: The reef?flat carbonate reservoir of Changxing formation in Yuanba area in northeastern Sichuan basin is characterized by average buried depth of 7 000 m, thin in thickness, serious heterogeneity and superimposed P?wave impedance between reservoir and non?reservoir intervals. So the seismic P?wave impedance inversion after poststack can not meet the needs for integration of exploration and exploitation at present. In order to get a high resolution predictable reservoir characterization and reduce the uncertainty of such a prediction andthe drilling risk, the study of prestack geostatistic inversion is carried out by fully using available seismic information. This method integrates with seismic AVO information, well logging and geological recognition, including petrophysical modeling, geological frame model and seismic data restriction, prestack geostatistic inversion. Finally, the lithologic inversion profile is obtained. The result shows high vertical and horizontal resolution and reliable lateral prediction, which allows the inversion and prediction of thin reservoirs to be effectively realized, thus improving the precision and reducing the risk of reservoir prediction

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