摘要
随着非常规油气勘探的兴起页岩孔隙研究备受重视,如何研究页岩孔隙已经成为非常规油气首要解决的问题之一,其对页岩油气勘探层位选取、资源潜力评价和油气渗流能力计算具有重要意义。对页岩微—纳米孔隙表征技术、页岩孔隙类别的划分以及页岩孔隙演化规律分别进行了综述并指出存在问题,同时结合最新研究进展对页岩孔隙研究进行展望。提出工业CT—微米CT—纳米CT/FIB系列辐射扫描方法和压汞(MICP)—氮气吸附(N2)—二氧化碳吸附(CO2)流体法是孔隙定量表征的最优方法,通过单井孔隙度测井资料与实验室测定结果建立校正图版指导储层孔隙发育段优选;页岩孔隙分类研究还应该考虑含油气性,利用原子力显微镜等工具加强孔隙含油性研究;孔隙演化规律研究应该采用模拟实验和真实剖面样品对比并结合矿物组成分析等寻找主控因素。
With the rise of unconventional oil and gas exploration, the study of shale reservoirs gets attention gradually and how to carry out the research of the shale reservoirs has become the primary problem in the study of unconventional oil and gas. Research on the shale reservoirs has great significance to the layer selection in explora- tion of shale oil and gas, to the evaluation of resource potential and to the calculation of seepage capacity of oil and gas. The micro-nano pore characterization techniques of shale, the division of pore types in shale and the mecha- nism of porosity evolution in shale are respectively overviewed and evaluated, and available problems are pointed out by combining with the newest research progress. We propose that the industrial CT-micro CT-nano CT/FIB se- ries of radiation scanning and pressure mercury injection （MICP） -nitrogen gas adsorption （ N2 ） -carbon dioxide ad- sorption （CO2） fluid method are the optimal methods of the quantitative characterization of reservoirs and the re- gression of experiment and porosity log should guide the favorite site of higher porosity. The classification of shale reservoir space should take oil and gas containing into consideration and AFM was suggested to study the reservoir continent ability for hydrocarbon. We suggest using rock diagensis simulation experiment and real profile samples to understand the shale porosity evolution and to find the main controlling factors with the aid of XRD analysis.
出处
《地球科学进展》
CAS
CSCD
北大核心
2012年第12期1319-1325,共7页
Advances in Earth Science
基金
中国博士后科学基金项目"鄂尔多斯盆地延长组长7泥页岩孔喉表征与石油聚集机制"(编号:2012M510481)
国家油气重大专项"国家大型气田及煤层气开发项目"(编号:20082X05001)资助
关键词
页岩
孔隙表征
孔隙分类
孔隙演化
Shale
Porosity characterization
Porosity classification
Porosity evolution
