石油勘探与开发 >

2020 , Vol. 47 >Issue 1: 86 - 97

DOI: https://doi.org/10.11698/PED.2020.01.08

油气勘探

四川盆地大猫坪地区二叠系长兴组生物礁气层叠前反演识别

  • 周路 ,
  • 钟斐艳 ,
  • 闫佳琛 ,
  • 钟克修 ,
  • 吴勇 ,
  • 许希辉 ,
  • 陆鹏 ,
  • 张文济 ,
  • 刘怡
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  • 1. 西南石油大学油气藏地质及开发工程国家重点实验室,成都 610500;
    2. 西南石油大学地球科学与技术学院,成都 610500;
    3. 西南石油大学电气信息学院,成都 610500;
    4. 中海油田服务股份有限公司物探事业部,天津 300451;
    5. 西南油气田公司重庆气矿,重庆 400021;
    6. 天然气地质四川省重点实验室,成都 610500;
    7. 中国石油集团测井有限公司西南分公司,重庆 400021
周路（1962-）,男,四川武胜人,博士,西南石油大学地球科学与技术学院教授,主要从事地震资料解释、地震岩性与储集层预测等方面的科研与教学工作。地址：四川省成都市新都区西南石油大学地球科学与技术学院,邮政编码：610500。E-mail: zhoulu9@126.com

收稿日期: 2019-01-09

  网络出版日期: 2020-01-17

基金资助

国家自然科学基金（41430316）; 国家科技重大专项（2017ZX05008-004-008）

收起

Prestack inversion identification of organic reef gas reservoirs of Permian Changxing Formation in Damaoping area, Sichuan Basin, SW China

  • ZHOU Lu ,
  • ZHONG Feiyan ,
  • YAN Jiachen ,
  • ZHONG Kexiu ,
  • WU Yong ,
  • XU Xihui ,
  • LU Peng ,
  • ZHANG Wenji ,
  • LIU Yi
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  • 1. State Key Laboratory of Oil and Gas Reservoir and Exploration, Southwest Petroleum University, Chengdu 610500, China;
    2. School of Geosciences and Technology, Southwest Petroleum University, Chengdu 610500, China;
    3. School of Electrical Engineering and Information, Southwest Petroleum University, Chengdu 610500, China;
    4. China Oilfield Service Limited Geophysical Division, Tianjin 300451, China;
    5. Chongqing Division, PetroChina Southwest Oil & Gas Field Company, Chongqing 400021, China;
    6. Sichuan Province Key Laboratory of Natural Gas Geology, Chengdu 610500, China;
    7. Southwest Branch, CNPC Logging Company Limited, Chongqing 400021, China

Received date: 2019-01-09

  Online published: 2020-01-17

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摘要

针对四川盆地大猫坪地区开江—梁平海槽台缘带单层生物礁储集层薄、横向变化快、与围岩的纵波波阻抗差异小、利用常规叠后反演预测生物礁储集层及流体性质比较困难等难题,通过实验室测定的岩心物性数据与测井纵横波速相关分析,提出了基于不同孔隙度区间的横波计算公式,解决了研究区部分井缺乏横波测井资料的问题。通过AVO正演分析,指出储集层孔隙度是导致研究区AVO类型变化的主要因素,而含水饱和度不会改变AVO类型但会对AVO变化幅度产生影响。根据弹性参数交会分析,发现流体因子是研究区生物礁储集层含气性的敏感参数。通过对比叠后波阻抗反演、叠后高频衰减属性、叠前同时反演和角道集AVO异常分析,发现利用叠前同时反演方法得到的流体因子进行生物礁气层识别与实际钻井符合率最高。最后根据流体因子分布特征,对研究区长兴组生物礁储集层含气有利区进行预测,指出大猫坪地区A区块长兴组顶部生物礁圈闭为下一步勘探有利目标。图16表4参32

关键词： 四川盆地; 二叠系长兴组; 生物礁; 叠前反演; 横波预测; 岩石物理; 流体因子; 含气检测

本文引用格式

周路 , 钟斐艳 , 闫佳琛 , 钟克修 , 吴勇 , 许希辉 , 陆鹏 , 张文济 , 刘怡 . 四川盆地大猫坪地区二叠系长兴组生物礁气层叠前反演识别[J]. 石油勘探与开发, 2020 , 47(1) : 86 -97 . DOI: 10.11698/PED.2020.01.08

Abstract

Organic reef reservoirs in the platform margin of Kaijiang-Liangping trough in Damaoping area, Sichuan Basin are thin in single layer, fast in lateral variation, and have small P-impedance difference from the surrounding rock, it is difficult to identify and predict the reservoirs and fluid properties by conventional post-stack inversion. Through correlation analysis of core test data and logging P-S wave velocity, this work proposed a formula to calculate the shear wave velocity in different porosity ranges, and solved the issue that some wells in the study area have no S-wave data. AVO forward analysis reveals that formation porosity is the main factor affecting the variation of AVO type, the change of water saturation cannot affect the AVO type, but it has an effect on the change range of AVO. Through cross-plotting analysis of elastic parameters, it is found that fluid factor is a parameter sensitive to gas-bearing property of organic reef reservoir in the study area. By comparing results of post-stack impedance inversion, post-stack high frequency attenuation property, pre-stack simultaneous inversion and AVO anomaly analysis of angle gathers, it is found that the gas-bearing prediction of organic reef reservoirs by using fluid factor derived from simultaneous pre-stack inversion had the highest coincidence rate with actual drilling data. At last, according to the characteristics of fluid factor distribution, the favorable gas-bearing area of the organic reef reservoir in Changxing Formation was predicted, and the organic reef trap at the top of Changxing Formation in Block A of Damaoping area was sorted out as the next exploration target.

Key words： Sichuan Basin; Permian Changxing Formation; organic reef; prestack inversion; S-wave estimation; rock physics; fluid factor; gas detection

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