地学前缘 ›› 2012, Vol. 19 ›› Issue (5): 356-363.

• 论文 • 上一篇    

页岩储层可压裂性影响因素及评价方法

唐颖，邢云，李乐忠，张滨海，蒋时馨   

  1. 1. 中海石油气电集团有限责任公司 技术研发中心， 北京 100027
    2. 中国地质大学（北京） 能源学院， 北京 100083
    3. 页岩气勘查与评价国土资源部重点实验室， 北京 100083
  • 收稿日期:2012-09-01 修回日期:2012-09-10 出版日期:2012-09-10 发布日期:2012-09-10
  • 作者简介:唐颖(1986—)，男，工程师，从事非常规天然气地质勘探与技术研发工作。 E-mail:tangying@sina.cn
  • 基金资助:

    国家自然科学基金项目（41272167）；中国高等学校博士学科点专项科研基金项目（20100022110006）；国土资源部项目“中国重点海相地区页岩气资源潜力及有利区优选”(2009GYXQ。15)；中国海油青年科技与管理创新课题（JZTW2011GL07）

Influence factors and evaluation methods of the gas shale fracability.

  1. 1. Research & Development Center of CNOOC Gas & Power Group, Beijing 100027, China
    2. School of Energy Resources, China University of Geosciences（Beijing）, Beijing 100083, China
    3. Key Laboratory of Shale Gas Exploration and Evaluation, Ministry of Land and Resources, Beijing 100083, China
  • Received:2012-09-01 Revised:2012-09-10 Online:2012-09-10 Published:2012-09-10

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摘要：

可压裂性是页岩在水力压裂中具有能够被有效压裂的能力的性质，是页岩开发中最关键的评价参数，影响因素包括页岩脆性、天然裂缝、石英含量、成岩作用及其他因素，目前常利用页岩矿物组成或岩石力学参数来表征，难以全面反映页岩在水力压裂过程中的综合性质。采用极差变换和经验赋值方法将参数标准化，使用层次分析法确定不同因数对可压裂性影响的权重，使用标准化值与权重系数加权得到可压裂系数的数学模型可对页岩可压裂性进行定量评价。可压裂系数越大，页岩可压裂性越强。采用该模型计算渝东南地区渝页1井龙马溪组页岩可压裂系数为0.485 5，Barnett页岩可压裂系数为0.484 4，总体处于同一水平；同时，使用该模型将页岩可压裂性分为3个级别，可压裂系数在0.132 0~0.282 0的页岩可压裂性低，水力压裂效果不佳；可压裂系数在0.282 0~0.456 7的页岩可压裂性中等，水力压裂能够取得较好的效果；可压裂系数在0.456 7~0.784 0的页岩可压裂性高，是优质的可压裂层。水力压裂应选择可压裂系数大于0.360 7的页岩。

关键词: 页岩可压裂性, 影响因素, 评价方法, 数学模型, 渝页1井, 对比

Abstract:

Fracability is the capability of the shale that can be fractured effectively during hydraulic fracturing. Shale brittleness, nature fracture, quartz content, diagenesis are influencing factors of shale fracability as well as other factors. A mathematical model is established to quantitatively evaluate the shale fracability. First, standardize the parameters by range transform or assignment method, and then calculate each parameters weight in shale fracability via Analytic Hierarchy Process. Fracability index is equal to the weight between standardized value and weight coefficient. The model was applied to Well Yuye1 Longmaxi shale in the Southeast of Chongqing area and Barnett shale in Fort Worth Basin of US. Yuye1 fracability index is 0.4855 which is little higher than 0.4844 of Barnett shale and the fracability of Yuye1 shale is at the same level with Barnett shale. Shale fracability can be divided into three levels according to the reservoir parameters features. The shale with low fracability couldnt be stimulated effectively, which fracability index is 0.13200.2820. The shale with medium fracability could be fractured effectively, which fracability index is 0.28200.4567 and the shale with high fracability is the best choice to be fractured, which fracability index is 0.45670.7840. It is better to choose the shale to be fractured which fracability index is above 0.3607.

Key words: shale fracability, influence factors, evaluation methods, mathematical model；Well Yuye1；fracability comparison

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