收稿日期: 2015-04-20
修回日期: 2015-05-22
网络出版日期: 2015-08-10
基金资助
国家基础研究发展计划项目（编号：2012CB214702）资助.
Influential Factors and Forecast of Microcrack Development Degree of Longmaxi Formation Shales in Nanchuan Region,Chongqing
Received date: 2015-04-20
Revised date: 2015-05-22
Online published: 2015-08-10
通过野外观测、室内实验和镜下观测，总结了重庆南川地区龙马溪组页岩微裂缝发育的宽度范围、优势方位及在压汞实验阶段进汞量曲线图上的表现等特征，分析了页岩矿物成分、TOC值、RO值、孔隙率、构造变形等因素对页岩微裂缝发育的影响，探讨了“＞100nm孔体积”和“总进汞量”指标与微裂缝发育程度之间的相关性，利用矿物成分含量、TOC值、RO值、孔隙率等实验数据，结合构建的构造因子，建立了页岩微裂缝发育影响因素的量化指标，运用BP神经网络模型，探讨了页岩微裂缝发育的影响因素与发育程度之间的量化联系，对微裂隙发育程度进行预测研究，认为研究区龙马溪组页岩中发育宽度在百纳米—百微米的微裂缝，形成不同级别的微裂缝网络；阶段进汞量曲线在一定程度上反映了页岩中超微裂缝的发育程度；微米级的微裂缝宽度主要集中在100μm以下，与构造变形关系密切；BP神经网络模型中的权值矩阵反映了微裂缝影响因素与微裂缝发育程度之间的量化联系，可以运用BP神经网络对微裂缝的发育程度进行量化预测。
汪吉林，朱炎铭，宫云鹏，方辉煌 . 重庆南川地区龙马溪组页岩微裂缝发育影响因素及程度预测[J]. 天然气地球科学, 2015 , 26(8) : 1579 -1586 . DOI: 10.11764/j.issn.1672-1926.2015.08.1579
By field inspection,laboratory test and observation under microscope,the following characteristics of Longmaxi Formation shales in Nanchuan region,Chongqing were summed up: The scope of microcrack width,the dominant orientation of microcrack and the manifestation in the graph of the amount of mercury injected by stages in experiment.It was analyzed that the effects upon the microcrack development of shale were caused by mineral composition,TOC,ROvalue,porosity and tectonic deformation,and so on.The relation between both of the indexes “>100nm pore volume”,“total amount of mercury injection” and microcrack development degree was studied.By using the experimental data such as mineral composition content,TOC,RO value and porosity,combined with the structure factor,quantitative indexes of the influential factors about microcrack development of shale were built.The quantitative relationship between the influential factors of microcrack and the degree of microcrack development was researched by using BP Neural Network(BPNN) model.The forecast for the degree of microcrack development was studied by using BPNN at the same time.It is concluded that the microcracks with width between 100nm to 100μm are developed in Longmaxi Formation shales in the research area.These microcracks constitute a network in different ranks.The graph of the amount of mercury injected by stages indicate the development degree of ultra-microcrack of shale to a certain degree.The width of microcracks in micron-level focuses the range of under 100μm and the microcrack in micron-level is related to tectonic deformation tightly.The weight matrix in BPNN model indicates the quantitative relationship between the influential factors of microcrack and the degree of microcrack development.Therefore,the degree of microcrack development can be forecasted quantitatively by using BPNN model.
Key words： Shale; Microcrack; Influential factor; Development degree; BP Neural Network(BPNN)
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