东营凹陷民丰北带沙四上亚段砂砾岩体层序划分

发布时间：2018-12-20 06:26

【摘要】：东营凹陷民丰北带地区砂砾岩体发育广泛,其岩电关系不明显;加之常规层序地层研究方法具有主观人为因素过多的弊端,制约了该地区层序地层研究工作的深化。基于测井资料的小波变换技术与基于地震资料的时频分析技术,与常规方法相比,具有定量划分层序地层的优势。在常规层序研究方法的基础上,综合利用以上两种技术,准确定量地划分了东营凹陷民丰北带地区沙四上亚段的四级层序。研究表明:基于测井资料的小波变换技术和基于地震资料的时频分析技术本质上具有一致性,都是在频率域定量划分层序地层;小波变换技术分辨率高,适用于有井区,地震时频分析技术适用性广,但分辨率低,两者需结合使用。东营凹陷民丰北带地区沙四上亚段地层为一个完整的三级层序,进一步可细分为5个四级层序,每个四级层序都具有粒度向上变细的正旋回的沉积特点。
[Abstract]:In the north zone of Minfeng, Dongying sag, the sand-gravel rock mass is widely developed, and the relationship between rock and electricity is not obvious. In addition, the conventional sequence stratigraphic research method has the disadvantage of too many subjective and human factors, which restricts the further research work of sequence stratigraphy in this area. Wavelet transform based on logging data and time-frequency analysis based on seismic data have the advantage of quantitatively dividing sequence stratigraphy. On the basis of conventional sequence study methods and using the above two techniques, the fourth order sequence of the upper part of Sha 4 in the northern zone of Minfeng in Dongying sag is accurately and quantitatively divided. The results show that the wavelet transform technology based on logging data and time-frequency analysis technology based on seismic data are consistent in nature, and they are quantitatively divided into sequence stratigraphy in frequency domain. Wavelet transform technology has high resolution and is suitable for well area. The seismic time-frequency analysis technology has wide applicability, but its resolution is low, so it is necessary to combine the two techniques. The strata of the upper part of the Sha-4 upper member in the northern zone of Minfeng in Dongying depression are a complete third-order sequence, which can be further subdivided into five four-stage sequences, each of which has the sedimentary characteristics of a positive cycle with granularity tapering upward.
【作者单位】：中国石油勘探开发研究院;中国石油大学(华东)地球科学与技术学院;中国科学院地质与地球物理研究所;
【基金】：国家油气科技重大专项(2011ZX05008-004) 国家“973”项目(2011CB201105)资助
【分类号】：P618.13;P631

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