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基于产能的砾岩油层分类评价——以克拉玛依油田B油藏为例 被引量:1

Classification and Evaluation of Conglomerate Oil Layer Based on Productivity in Reservoir B Karamay Oil Field
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摘要 鉴于B油藏地质特征与开发特征在平面上的差异较大,经过长时间的注水开发,油藏已处于高含水、高采出程度的阶段,以前主要以R_2M和ΔSP为基础建立的油层标准无法适应目前阶段分析油藏潜力对油层特征研究的需要。为了更好地分析油藏的剩余油分布特征,需要对油层进行更进一步分类研究。于是。本次研究结合油藏的静态参数和动态资料,从油井的产液剖面资料入手,通过分析这些射孔井段的孔隙度、渗透率、含油饱和度对油井产能的敏感性,发现油井产能与含油饱和度相关性最好(正相关)。采用含油饱和度将油层分成三类油层(一类油层S_o≥0.67;二类油层0.55≤S_o<0.67;三类油层0.42≤S_o<0.55),并分析了这三类油层在岩性、沉积微相、物性、生产动态的分类特征,对分类油层在平面上的分布特征和据此而计算的分类地质储量的分布特征进行研究,为油藏下步"挖潜增效"提供了重要的依据。 The B reservoir is in the stage of high water cut and high recovery after long time water flooding, the former oil layer evaluation method based on R2 M and ΔSP unable to meet the needs of analyzing reservoir potential and studying reservoir characteristics at the present stage because of the strong heterogeneity in geological and development characteristics. In order to figure out the distribution characteristics of residual oil, further oil layer classification research is needed. This paper finds well production is closely related to oil saturation(positive correlation) by researching reservoir static parameters and dynamic data, analyzing the influence of production profile, porosity, permeability and oil saturation on production. The oil layer is divided into three categories based on oil saturation(category one So≥0.67;category two 0.55≤So0.67;category three 0.42≤So0.55),the classification characteristic of lithology, sedimentary microfacies, physical properties and production dynamics is analyzed and distribution characteristic of oil layer and reserves are researched, which provides the vital basis for further reservoir development.
作者 任旭 董海海 刘兴国 邹玮 王新东 Ren Xu;Dong Haihai;Liu Xingguo;Zou Wei;Wang Xindong(Institute of Exploration and Development,Xinjiang Oilfield Branch of PetroChina,Xinjiang,834000;Xinjiang Branch of China Petroleum Logging CO.,LTD.,Xinjiang,834000)
出处 《当代化工研究》 2018年第5期84-86,共3页 Modern Chemical Research
关键词 油层分类 敏感性 相关性 分类储量 Oil layer classification sensitivity correlation analysis classified reserves
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