孤北洼陷沙三中亚段砂岩储层地震预测方法

2016年 55卷 第No. 3期
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Seismic prediction for sandstone reservoir in middle subsection of Sha_3 member,Gubei Subsag
(1.中国石油化工股份有限公司胜利油田分公司勘探开发研究院,山东东营257015;2.中国石油大学(华东)地球科学与技术学院,山东青岛266580)
(1.Research Institute of Petroleum Exploration and Development,Sinopec Shengli Oilfield Company,Dongying 257015,China;2.School of Geosciences,China University of Petroleum,Qingdao 266580,China)

孤北洼陷南部斜坡带沙河街组三段广泛发育灰质泥岩,因其速度和密度与砂岩的速度和密度相当,导致该区砂岩储层地震预测难度增大。为此,提出了一种综合应用地质、地震和测井信息,进行砂岩储层地震预测的方法。首先,通过对研究区沉积类型和地层展布特征的分析,遵循等时地层切片的基本原理,按砂层组厚度建立等时地层格架;然后,在分析灰质泥岩岩石物理学特征的基础上,优选出能够有效区分灰质泥岩和砂岩的泥质含量曲线作为敏感曲线;最后,利用地质统计学反演技术,有效融合多尺度资料,实现储层的精确预测。应用结果表明,该方法通过多尺度资料的综合应用,能够有效剔除灰质泥岩影响,提高砂岩储层预测的精度。

The calcareous mudstone in middle subsection of Sha_3 member,in southern slope belt of Gubei subsag,are widely developed.Due to the similarity of the velocity and density between calcareous mudstone and sandstone,the difficulty in seismic prediction of sandstone reservoir was increased.A comprehensive method of geological,seismic and logging information was proposed to predict the sandstone reservoir.Firstly,based on the analysis of the sedimentation types and the stratigraphic distribution characteristics in target area,followed by the basic principle of stratigraphic section,the isochronous stratigraphic framework was set up according to sand groups thickness.Secondly,after the analysis on petrophysical property of the calcareous mudstone,the sensitive logs for effectively distinguishing between calcareous mudstone and sandstone were optimized.Finally,with geostatistics inversion of multi-scale data effective integration,accurate prediction of logging sensitive reservoir could be realized.It was shown that this method can effectively eliminate the influence of calcareous mudstone and improve the prediction accuracy of sandstone reservoir through the comprehensive application of multi-scale data.

孤北洼陷; 沙三中亚段; 储层预测; 敏感曲线; 灰质泥岩;
Gubei subsag,; middle subsection of Sha_3 member,; reservoir prediction,; sensitive logs,; calcareous mudstone;

国家科技重大专项“渤海湾盆地精细勘探关键技术”(2011ZX0506-003)资助。

10.3969/j.issn.1000-1441.2016.03.015