新疆石油地质 ›› 2021, Vol. 42 ›› Issue (2): 161-167.doi: 10.7657/XJPG20210205

• 油气勘探 • 上一篇    下一篇

陇东地区长7段致密储集层裂缝特征及定量预测

宿晓岑1a(), 巩磊1a,2(), 高帅1a,2, 周新平3, 王兆生4, 柳波1b   

  1. 1.东北石油大学 a.地球科学学院;b.非常规油气研究院,黑龙江 大庆 163318
    2.东北石油大学 环渤海能源研究院,河北 秦皇岛 066004
    3.中国石油 长庆油田分公司 勘探开发研究院,西安 710018
    4.华北理工大学 矿业工程学院,河北 唐山 063210
  • 收稿日期:2020-10-12 修回日期:2020-11-21 出版日期:2021-04-01 发布日期:2021-04-02
  • 通讯作者: 巩磊 E-mail:939266752@qq.com;kcgonglei@foxmail.com
  • 作者简介:宿晓岑(1996-),女,辽宁铁岭人,硕士研究生,构造地质学,(Tel)0459-6504027(E-mail) 939266752@qq.com
  • 基金资助:
    国家自然科学基金(42072155);国家自然科学基金(41902150);黑龙江省自然科学基金(QC2018043);中国博士后基金(2018M631908);黑龙江省普通本科高等学校青年创新人才培养计划(UNPYSCT-2020147);环渤海能源研究院拓海专项(HBHZX202001)

Characteristics and Quantitative Prediction of Fractures of Tight Reservoir in Chang 7 Member in Longdong Area

SU Xiaocen1a(), GONG Lei1a,2(), GAO Shuai1a,2, ZHOU Xinping3, WANG Zhaosheng4, LIU Bo1b   

  1. 1. Northeast Petroleum University, a.College of Geosciences, b.Institute of Unconventional Oil & Gas, Daqing, Heilongjiang 163318, China
    2. Bohai-Rim Energy Research Institute, Northeast Petroleum University, Qinhuangdao, Hebei 066004, China
    3. Research Institute of Exploration and Development, Changqing Oilfield Company, PetroChina, Xi’an, Shaanxi 710018, China
    4. School of Mining Engineering, North China University of Science and Technology, Tangshan, Hebei 063210, China
  • Received:2020-10-12 Revised:2020-11-21 Online:2021-04-01 Published:2021-04-02
  • Contact: GONG Lei E-mail:939266752@qq.com;kcgonglei@foxmail.com

摘要:

鄂尔多斯盆地陇东地区上三叠统延长组长7段储集层致密,裂缝发育程度是影响其油气分布和单井产能的主要因素。通过露头剖面、岩心、铸体薄片及成像测井等资料,对长7段储集层裂缝的分布特征进行定量表征,明确裂缝发育的主控因素,并结合岩石力学测试和数值模拟,对裂缝分布进行定量预测。研究区长7段储集层主要发育高角度构造裂缝,矿物充填性较差,有效裂缝发育,宏观裂缝平均线密度为0.31条/m。微观裂缝平均面密度为0.25~0.50 μm/μm2,平均孔隙度为0.32%,增加了致密储集层的储集空间,并沟通了粒间和粒内孔隙,增强了孔隙连通性。研究区主要发育4组裂缝,分别为北东—南西向、北西—南东向、近东西向和近南北向,其中北东—南西向裂缝最为发育。裂缝主要发育在能干性强的岩石力学层内,并终止于岩性界面或层理面,裂缝高度主要分布在5~20 cm,最大可达110 cm。岩石中脆性矿物含量越高、颗粒越细、岩石越致密、岩层厚度越小,裂缝发育程度越高。通过有限元数值模拟,对陇东地区长7段裂缝的分布规律进行定量预测,预测结果与实际测量结果一致。

关键词: 鄂尔多斯盆地, 陇东地区, 延长组, 长7段, 致密砂岩, 构造裂缝, 定量预测

Abstract:

In the tight reservoirs of the Chang 7 member in the Upper Triassic Yanchang formation in the Longdong area of the Ordos basin, fracture development is the primary factor affecting oil and gas distribution and well productivity. According to outcrop profiles, cores, casting thin slices and imaging logging data, the distribution of the fractures in the Chang 7 reservoir were characterized quantitatively, the controlling factors on the fracture development were clarified, and finally combining with rock mechanics and numerical simulations, the fracture distribution was quantitatively predicted. The study results show that in the Chang 7 reservoir in the study area, (a) large-angle structural fractures are developed, which are effective and poorly filled with mineral cements; (b) the average linear density of macroscopic fractures is 0.31 fracture/m, the average areal density and average porosity of microscopic fractures are 0.25-0.50 μm/μm2 and 0.32%, respectively, such fractures can increase reservoir spaces, connect the intergranular and intragranular pores, and enhance pore connectivity; (c) 4 groups of fractures were found, striking northeast-southwest, northwest-southeast, near east-west and near north-south respectively, and of which the fractures in northeast-south direction are the most developed; (d) the fractures are mainly developed inside the rock layer with powerful deformability and terminate at the lithological interface or bedding surface, 5 cm to 20 cm high, and up to 110 cm at the most; and (e) the higher the content of brittle minerals in the rock, the finer the particles, the denser the rock, and the thinner the formation, the higher the degree of fracture development. The distribution law of the fractures in the Chang 7 member in the Longdong area quantitatively predicted through finite element numerical simulation is consistent with the results from the actual measurement.

Key words: Ordos basin, Longdong area, Yanchang formation, Chang 7 member, tight sandstone, structural fracture, quantitative prediction

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