ISSN 1673-8217 CN 41-1388/TE
主管:中国石油化工集团有限公司 主办:中国石油化工股份有限公司河南油田分公司
张允琇. 2012: 古近系砂砾岩体储层测井精细评价——以辽河坳陷西部凹陷牛心坨地区为例. 石油地质与工程, 26(05): 49-51+159.
引用本文: 张允琇. 2012: 古近系砂砾岩体储层测井精细评价——以辽河坳陷西部凹陷牛心坨地区为例. 石油地质与工程, 26(05): 49-51+159.
2012: Fine logging evaluation of Paleogene glutenite reservoir——Take the example of Niuxintuo sag, west of Liaohe depression. Petroleum Geology and Engineering, 26(05): 49-51+159.
Citation: 2012: Fine logging evaluation of Paleogene glutenite reservoir——Take the example of Niuxintuo sag, west of Liaohe depression. Petroleum Geology and Engineering, 26(05): 49-51+159.

古近系砂砾岩体储层测井精细评价——以辽河坳陷西部凹陷牛心坨地区为例

Fine logging evaluation of Paleogene glutenite reservoir——Take the example of Niuxintuo sag, west of Liaohe depression

  • 摘要: 针对辽河坳陷牛心坨洼陷牛心坨油层低孔、低渗砂砾岩储层测井评价的难题,在研究区内进行了系统的岩石物理分析。通过"四性关系"研究,确定了牛心坨地区砂砾岩储层的含油性下限、岩性下限以及物性下限;根据试油、试采资料建立了本区的油层识别图版;利用岩心分析孔隙度标定测井资料建立了孔隙度解释模型;应用"岩电"分析资料确定了本区含油饱和度计算过程需要的参数,分别利用阿尔奇公式以及压汞资料共同求取砂砾岩储层的含油饱和度。研究过程中形成一套有效的砂砾岩储层测井评价方法,提高了测井解释的精度。

     

    Abstract: Oil layers in Niuxintuo sag of Liaohe depression has the characteristics of being in glutenite reservoirs, low porosity and low permeability, but logging evaluation is difficult to make. Therefore, a systematic petrophysical analysis has been carried out in this research area. Through 'four properties relations' research, the lower limits of oil-bearing characteristics, lithology and physical property have been respectively determined. Based on formation testing and formation testing data, the identification graph of oil layers has been established. By using core analysis and porosity calibration from logging data, the porosity interpretation model has been established. With litho-electric analytical data, the important parameters needed by oil saturation calculaltion have been determined. By archie equation and mercury injection data, the oil saturation of glutenite reservoir has been acquired. In the process of the research, a set of logging evaluation methods of glutenite reservoirs have been developed, which greatly improves the accuracy of well logging interpretation.

     

/

返回文章
返回