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松树林区长6储层差薄油层识别与分类评价 被引量:1

Identification and Classification Evaluation of Poor and Thin Pay Zones of Chang 6 Reservoir in Songshulin District
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摘要 结合常规测井、室内分析化验、生产等方面的数据资料,对南泥湾油田松树林区长6储层的储层特征进行了精细描述,研究了储层的四性关系,建立了测井二次解释模型,对储层进行重新识别,并建立了有效储层和差薄油层的识别标准。在研究区长6储层502口井中共筛选出差薄油层280层,采用聚类分析的方法将差薄油层分为3类:Ⅰ类差薄油层占比17.8%,多分布于河道、鼻隆位置,试油效果好;Ⅱ类差薄油层占比56.1%,多分布于河道、鼻翼位置,试油效果次之;Ⅲ类差薄油层占比26.1%,多分布于河道侧翼、鼻翼位置,试油效果最差。 Through the study on the fine description of reservoir characteristics and the relationship between four properties of the reservoir,with the conventional logging data,laboratory analysis and production data,the secondary logging interpretation model is established to re-identify the Chang 6 reservoir,and then the identification standards of effective reservoir and poor and thin pay zonesare established. Through the above research,280 layers of poor and thin pay zones are selected through 502 wells in Chang 6 reservoir in Songshulin district and then are divided into 3 classes by clustering analysis. The results show that the class Ⅰaccounted for 17. 8%,mainly distributed in the river channel and nose position,the output of the well testing is good; class Ⅱ accounted for 56. 1%,mainly distributed in the river channel and the alae of the nose position,the output of the well testing is lower than class I; class Ⅲ accounted for 26. 1%,mainly distributed in the river channel flankand the alae of the nose position,the output of the well testing is bad.
作者 王维 WANG Wei(College of Petroleum Engineering, Xi'an Shiyou University, Xi'an , Shaanxi 710065)
出处 《精细石油化工进展》 CAS 2018年第3期16-20,共5页 Advances in Fine Petrochemicals
关键词 南泥湾油田 差薄油层 聚类分析 松树林区 识别 测井 Nanniwan Oilfield poor and thin pay zone clustering analysis Songshulin District identification conventional logging data
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