鄂尔多斯盆地姬塬地区低渗透储层流体识别技术

摘要/Abstract

摘要： 鄂尔多斯盆地姬塬地区长6储层为典型的特低渗透储层，非均质性严重，油水分异差，流体识别难度较大。为解决这一问题，基于补偿中子、补偿密度和声波时差3种孔隙度曲线的重合程度，通过构建孔隙度曲线指数来指示岩性的纯度；结合反映流体性质的深感应电阻率和刻画储层物性的声波时差曲线，构建流体识别指数识别储层的含油性；在此基础上，依据产水率与含水饱和度关系进一步识别油水同层和水层。综合流体识别指数和产水率，建立油水层识别图版。通过对研究区的58口井测井综合解释，并与试油数据进行对比，该方法识别油水层的准确率为91.4%，提高了储层流体识别的精度。

关键词: 鄂尔多斯盆地, 姬塬地区, 低渗透储层, 储层评价, 流体识别, 测井曲线特征

Abstract: The Chang-6 reservoir in the Jiyuan area, the Ordos Basin, is a typical ultra-low permeability reservoir, for which the fluid identification is a challenging task due to its strong heterogeneity and less oil-water differentiation. In this paper, based on the coincidence of three porosity curves, i.e. compensated neutron log (CNL), compensated density log (CDL) and acoustic time (AC), the porosity curve indexes are constructed to reflect the lithologic purity. By combining the deep inductive resistivity (DIR) log reflecting the fluid properties and the AC log describing the reservoir properties, the fluid identification indexes are constructed to determine the oil-bearing potential of the reservoir. Then, oil-water layer and water layer are further identified in accordance with the relationship between water productivity and water saturation. Eventually, the oil/water identification chart is prepared by integrating the fluid identification indexes and the water productivity. The logging data of 58 wells in the study area were interpreted and compared with the well testing data. The results show that the proposed method can achieve an accuracy of 91.4% in fluid identification, suggesting an enhanced accuracy of fluid identification in reservoirs.

Key words: Ordos Basin, Jiyuan area, low-permeability reservoir, reservoir evaluation, fluid identification, log response characteristic

何永宏, 杨孝, 王秀娟, 钟张起, 侯读杰. 鄂尔多斯盆地姬塬地区低渗透储层流体识别技术[J]. 中国石油勘探, 2016, 21(6): 110-115.

He Yonghong, Yang Xiao, Wang Xiujuan, Zhong Zhangqi, Hou Dujie. Fluid identification in low-permeability reservoir in Jiyuan area, Ordos Basin[J]. China Petroleum Exploration, 2016, 21(6): 110-115.

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