岩性油气藏 ›› 2021, Vol. 33 ›› Issue (2): 127–134.doi: 10.12108/yxyqc.20210213

• 勘探技术 • 上一篇    下一篇

地震与微地震融合技术在页岩油压后评估中的应用

杜金玲1, 林鹤1, 纪拥军2, 江洪2, 许文莉1, 伍顺伟3   

  1. 1. 中国石油东方地球物理勘探有限责任公司 新兴物探开发处, 河北 涿州 072751;
    2. 中国石油新疆油田分公司 开发公司, 新疆 克拉玛依 834000;
    3. 中国石油新疆油田分公司 勘探开发研究院, 新疆 克拉玛依 834000
  • 收稿日期:2020-06-10 修回日期:2020-08-10 发布日期:2021-03-31
  • 作者简介:杜金玲(1978—),女,硕士,高级工程师,主要从事地震与微地震综合解释方面的研究工作。地址:(072750)河北省涿州市甲秀路39号。Email:dujinling@cnpc.com.cn。
  • 基金资助:
    “十三五”国家重大专项课题“油藏及非常规气藏地球物理配套技术”（编号：2017ZX05018-004）资助

Application of seismic and microseismic data fusion technology in postfracturing evaluation of shale oil reservoir

DU Jinling1, LIN He1, JI Yongjun2, JIANG Hong2, XU Wenli1, WU Shunwei3   

  1. 1. New Resources Geophysical Exploration Division, Bureau of Geophysical Prospecting Inc., CNPC, Zhuozhou 072751, Hebei, China;
    2. Development Company, PetroChina Xinjiang Oilfield Company, Karamay 834000, Xinjiang, China;
    3. Research Institute of Exploration and Development, PetroChina Xinjiang Oilfield Company, Karamay 834000, Xinjiang, China
  • Received:2020-06-10 Revised:2020-08-10 Published:2021-03-31

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摘要： 页岩油是近几年非常规油气勘探开发的一个重点，其具有高风险、高投入、高难度的特点，因此须要多学科人员共同协作来提高“甜点”识别能力，以获得最大经济效益。三维地震可以在空间预测储层，微地震监测成果可以直接评价储层压裂改造效果，因此微地震与地震融合技术可以提高有利“甜点”识别的精度。通过开展微地震监测结果与三维地震融合研究，并结合油气产能情况，对影响储层改造效果的主要因素进行了详细分析。认为吉木萨尔凹陷三维地震的相干值、蚂蚁体、振幅、脆性、水平应力差等属性与人工改造缝网形态直接相关，可影响储层的改造效果及后期产能。基于多属性融合的“甜点”识别方法，优选低相干值、弱振幅、高脆性、低水平应力差的分布区域，并将研究区划分为3类“甜点区”。该研究结果可为井轨迹优化和储层压裂改造方案的制订提供依据。

关键词: 页岩油, 微地震, 三维地震, 属性融合, 吉木萨尔凹陷

Abstract: Shale oil is a key point of unconventional oil and gas exploration and development in recent years,and its exploration and development are characterized by high risk,high investment and high difficulty. In order to maximize the economic benefits of a single well,it is necessary for multidisciplinary personnel to cooperate to improve the identification ability of sweet spots. 3D seismic can be used to predict reservoir in space,and microseismic monitoring results can be used to directly evaluate the effect of hydraulic fracturing, so the fusion technology of micro-seismic and 3D seismic data can improve the prediction accuracy of sweet spots. Based on the fusion of surface seismic attributes and micro-seismic results,combined with oil and gas productivity,the main factors affecting oil and gas productivity were analyzed. The results show that the properties of coherence value,ant body, amplitude, brittleness and horizontal stress difference are directly related to the shape of artificial fracture network in Jimsar Sag,which can affect the effect of reservoir stimulation. Based on the sweet spots identification method of multi-attributes fusion,the areas with low coherence value,weak amplitude,high brittleness and low horizontal stress difference was optimized,and the study area was divided into three types of sweet spots areas. The research results can provide a basis for well trajectory optimization and the optimized project design for reservoir stimulation.

Key words: shale oil, microseismic, 3D seismic, attribute fusion, Jimsar Sag

中图分类号: 

  • TE357.1
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