涪陵地区大安寨段优质泥页岩地震预测
详细信息 本馆镜像全文    |  推荐本文 | | 获取馆网全文
摘要
涪陵地区大安寨段具有形成页岩气的勘探潜力,而寻找优质泥页岩尤为重要。首先,在明确泥页岩测井及地震响应特征的基础上,利用地震波阻抗反演,去除灰岩,寻找泥页岩;然后,在泥页岩的基础上,寻找高TOC的优质泥页岩。目前国内外对TOC的预测还处于探索阶段,常见的TOC预测技术以利用测井资料为主,主要包括Δlg R法、自然伽马能谱法、密度法和多属性反演技术法等4种。文中通过对敏感性参数分析,选用了自然伽马能谱法和多属性反演技术,来预测涪陵地区大安寨段优质泥页岩,取得了很好效果。
Because of the shale gas exploration potential of Da′ anzhai Formation in Fuling Area, it becomes very important to find quality mud shale. On the basis of the response features of mud shale and seismic impedance inversion, limestone is identified to look for mud shale, finally high quality mud shale with high TOC is to be found. At present, seismic predictions of TOC are still at exploring stage worldly, common TOC predictions are mainly based on logging data, Δlog R, natural gamma ray spectrometry method, density method and multi-attribute inversion. In this paper, by analysis of sensitive parameters, natural gamma ray spectrometry method and multi-attribute inversion are chosen to predict quality mud shale in the Da′anzhai Formation of Fuling area, which has obtained a good effect.
引文
[1]顾忠安,郑荣才,王亮,等.渝东涪陵地区大安寨段页岩储层特征研究[J].岩性油气藏,2014,26(2):67-73.
    [2]陈祖庆.海相页TOC地震定量预测技术及其应用:以四川盆地焦石坝地区为例[J].地质勘探,2014,34(6):1-6.
    [3]金吉能,潘仁芳,王鹏,等.地震多属性反演预测页岩总有机碳含量[J].石油天然气学报,2012,34(11):68-72.
    [4]陈超,刘韵,缪志伟,等.M地区致密砂岩储层预测方法研究[J].岩性油气藏,2013,25(6):84-88.
    [5]张绍全.概率神经网络技术在非均质地层岩性反演中的应用[J].石油学报,2008,29(4):549-552.
    [6]林建东,任森林,薛明喜,等.页岩气地震识别与预测技术[J].中国煤炭地质,2012,24(8):56-60.
    [7]许正龙.曲线重构技术在储层横向预测工作中的应用[J].石油实验地质,2002,24(4):377-380.
    [8]朱彤,曹艳,张快.美国典型页岩气藏类型及勘探开发启示[J].石油实验地质,2014,36(6):718-724.
    [9]周德华,焦方正,郭旭升,等.川东北元坝区块中下侏罗统页岩油气地质分析[J].石油实验地质,2013,35(6):596-600.
    [10]王志刚.涪陵焦石坝地区页岩气水平井压裂改造实践与认识[J].石油与天然气地质,2014,35(3):425-430.
    [11]王瑞飞,齐宏新,吕新华,等.深层高压低渗砂岩储层可动流体赋存特征及控制因素:以东濮凹陷文东沙三中油藏为例[J].石油实验地质,2014,36(1):123-128.
    [12]谢英刚,葛岩,李乐忠,等.岩相精细划分方法在页岩油气研究中的应用:以澳大利亚Eromanga盆地Toolebuc组页岩为例[J].断块油气田,2014,21(4):416-419.

版权所有:© 2023 中国地质图书馆 中国地质调查局地学文献中心