›› 2016, Vol. 37 ›› Issue (3): 1-1.doi: 10.7657/XJPG20160308

• 论文 •    

泾河油田三叠系长8段天然裂缝特征与预测

李凌川1,徐文玺2,邓虎成3,刘延军1,梁臣1,韩杰林1   

  1. (1.中国石化 华北油气分公司 采油一厂,甘肃 庆阳 745000;2.中国石化 华北油气分公司 采油气工程服务中心,陕西 咸阳 712000;3.成都理工大学 能源学院,成都 510059)
  • 出版日期:2019-01-01 发布日期:1905-07-14

Characteristis and Prediction of Natural Fractures in Triassic Chang8 Member, Jinghe Oilfield

LI Lingchuan1, XU Wenxi2, DENG Hucheng3, LIU Yanjun1, LIANG Chen1, HAN Jielin1   

  1. (1. No. 1 Oil Recovery Plant, North China Branch, Sinopec, Qingyang, Gansu 745000,China2. Service Center of Oil and Gas Engineering,North China Branch, Sinopec,Xianyang, Shanxi 712000,China3. School of Energy Resources, Chengdu University of Technology,Chengdu, Sichuan 610059,China)
  • Online:2019-01-01 Published:1905-07-14

摘要: 据野外露头、岩心和FMI测井等资料分析认为,鄂尔多斯盆地泾河油田三叠系长8段天然裂缝主要为垂直裂缝和高角度斜交裂缝,裂缝走向主要为北东—南西向。裂缝主要在砂岩岩层内发育,穿层裂缝较少,裂缝充填程度低,大多为开启缝,有效性较好。天然裂缝发育程度主要受岩性、构造变形和断层等因素控制,其中断层是主要因素。天然裂缝分布预测表明,泾河油田东部泾河17井区和西部泾河2井区为裂缝发育区,同时储集层砂体较厚,开发潜力较好;中部和北部地区裂缝较发育,开发潜力次之,预测结果与实际生产数据吻合较好。

Abstract: Through analyses of outcrop, core and FMI logging data, it is considered that vertical fractures and high?angle oblique fractures are the dominant natural fracture types in Triassic Chang?8 member of Jinghe oilfield in Ordos basin. These fractures are mainly NE-SW trending, which are mainly developed in sandstone reservoirs with a few strata?penetrating fractures and relatively low filling. Most fractures are open with relatively good validity. The development of natural fractures is mainly controlled by lithology, structural deformation and fault, and the fault is the main factor. The prediction result of natural fracture distribution shows that the fractures are best developed in Wellblock Jinghe?17 in eastern Jinghe oilfield and Wellblock Jinghe?2 in western Jinghe oilfield, and the sandbodies in the reservoir are thick with relatively good development potential; fractures in the middle and northern parts of the region are relatively developed with secondary development potential. The prediction results are well matched with the actual production data

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