吉林大学学报(地球科学版)

• 地球探测与信息技术 • 上一篇    下一篇

地质模型约束下的地震储层预测技术及其在梨树断陷中的应用

乐友喜1,黄健良1,张阳1,周磊1,张玉明2,陈孔全2   

  1. 1.中国石油大学地球科学与技术学院,山东 青岛266580;
    2.中石化东北油气分公司,长春130062
  • 收稿日期:2012-06-19 出版日期:2013-03-26 发布日期:2013-03-26
  • 作者简介:乐友喜(1966-),男,教授,博士,主要从事地震储层预测、信号处理与分析、模式识别、开发地震等研究工作,E-mail:yueyouxi@upc.edu.cn
  • 基金资助:

    中央高校基本科研业务费专项项目(10CX04013A)

Seismic Reservoir Prediction Technology Constrained by Geology Model and the Application in Lishu Fault Depression

Yue Youxi1, Huang Jianliang1, Zhang Yang1, Zhou Lei1, Zhang Yuming2,Chen Kongquan2   

  1. 1.School of Geosciences, China University of Petroleum, Qingdao266580, Shandong, China;
    2.Northeast Oilfield Branch Company, SINOPEC, Changchun130062, China
  • Received:2012-06-19 Online:2013-03-26 Published:2013-03-26

摘要:

在钻测井约束下,结合梨树断陷有关探井资料和区域性沉积相研究,综合运用调谐频率加强法高分辨率处理技术和基于地震资料的时频分析技术、地震相技术、多属性分析技术及基于层序框架下的地震资料解释技术等,采取拟声波曲线重构地震反演技术和基于调谐频率加强法的高分辨率反演方法等,研究目的层岩性、物性和含油气性。同时,结合基于地震属性分析的人工智能技术的储层物性预测方法,预测砂体的空间分布和几何形态,落实隐蔽圈闭,完成了滚动勘探和开发2个阶段不同井区有利砂体分布规律评价及预测工作。

关键词: 梨树断陷, 储层预测, 时频分析, 地震属性, 调谐频率加强法, 拟声波曲线重构, 地震响应

Abstract:

Under the constraint of drilling and well logging,a series of techniques combined with  the drill data and territorial sedimentary facies in Lishu fault depression are taken to research the lithologic character, physical property, hydrocarbon potential of subject reservoir. These techniques involve high resolution seismic data processing techniques based on tuning-frequency-enhanced method, time-frequency analysis, seismic facies analysis technique, seismic multiple-attributes analysis technology, seismic data interpretation techniques under sequential framework, logging constrained impedance inversion, and so on. In the inversion, reconstructed-log seismic inversion technology and high-resolution inversion technology based on tuning-frequency-enhanced method are used. The method to predict reservoir physical properties based on artificial intelligence technology in seismic attribute analysis is also used. Using the above methods,we successfully predicted the spatial distribution and geometry of sand body,and recognized the subtle traps in Lishu fault depression. We completed the work of evaluation and prediction of beneficial sand in different wellblocks. The wellblocks relate to the exploration stage and development stage.This research results played a significant role in the exploration and evelopment in Lishu fault depression.

Key words: Lishu fault depression, reservoir prediction, time-frequency analysis, seismic attribute, tuning-frequency-enhanced method, reconstruction of pseudo-acoustic, seismic response

中图分类号: 

  • P631.4
[1] 张新培, 于雪峰. 利用地球物理信息描述太古宇潜山有效储集体[J]. 吉林大学学报(地球科学版), 2016, 46(1): 270-278.
[2] 秦雪霏,李巍. 大牛地气田煤系地层去煤影响储层预测技术[J]. 吉林大学学报(地球科学版), 2014, 44(3): 1048-1054.
[3] 刘福春,程日辉,解启来,胡望水,汤济广,李忠博,杨秀辉,徐浩,周隶华. 松辽盆地梨树断陷页岩气资源潜力评价[J]. 吉林大学学报(地球科学版), 2014, 44(3): 762-773.
[4] 孙乃泉,云露,蒲仁海,杨素举. 塔里木盆地顺9井区柯坪塔格组下段沉积微相与储层展布[J]. 吉林大学学报(地球科学版), 2013, 43(6): 1716-1725.
[5] 薛林福, 孙晶, 白烨, 潘保芝, 王建强. 黄骅坳陷孔南地区沙河街组井震基准面旋回匹配[J]. J4, 2012, 42(4): 935-940.
[6] 王祝文, 王晓丽, 刘菁华, 张雪昂, 向旻, 杨闯. 裂缝性地层声波测井的联合时频特征[J]. J4, 2012, 42(4): 914-920.
[7] 秦月霜, 陈友福, 叶萍. 薄窄砂体地震跟踪预测方法[J]. J4, 2012, 42(1): 269-274.
[8] 苏明军, 周立宏, 王西文, 李胜军, 张兆辉. 斜坡区岩性地层圈闭识别技术与应用--以歧口凹陷滨海地区东部为例[J]. J4, 2011, 41(3): 673-679.
[9] 马见青, 李庆春. 面波压制的TT变换法[J]. J4, 2011, 41(2): 565-571.
[10] 陈学华,贺振华,黄德济. 时频域高分辨地震层序识别[J]. J4, 2008, 38(1): 152-0155.
[11] 王祝文, 刘菁华, 聂春燕. 时频分析的重排方法及其在声波测井信号处理中的应用[J]. J4, 2007, 37(5): 1042-1046.
[12] 邹新宁,孙 卫,张盟勃,万玉君. 地震属性分析在岩性气藏描述中的应用[J]. J4, 2006, 36(02): 289-0294.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!