新疆石油地质 ›› 2020, Vol. 41 ›› Issue (5): 535-541.doi: 10.7657/XJPG20200504

• 油气勘探 • 上一篇    下一篇

吉木萨尔凹陷芦草沟组页岩油甜点地震预测方法

贾曙光1(), 王军2, 王玲玲1(), 于红果2, 祁杰2, 曾探1   

  1. 1.北京金海能达科技有限公司,北京 102299
    2.中国石油集团测井有限公司 新疆分公司,新疆 克拉玛依 834000
  • 收稿日期:2019-09-15 修回日期:2020-07-13 出版日期:2020-10-01 发布日期:2020-10-10
  • 通讯作者: 王玲玲 E-mail:shuguangjia@126.com;wll_gzf@163.com
  • 作者简介:贾曙光(1969-),男,河南南阳人,工程师,地球物理,(Tel)010-89737102(E-mail)shuguangjia@126.com

Seismic Prediction Methods of Shale Oil Sweet Spots in Lucaogou Formation of Jimsar Sag

JIA Shuguang1(), WANG Jun2, WANG Lingling1(), YU Hongguo2, QI Jie2, ZENG Tan1   

  1. 1. Beijing Jinhainengda Technology Limited Company, Beijing 102299, China
    2. Xinjiang Branch, CNPC Logging, Karamay, Xinjiang 834000, China
  • Received:2019-09-15 Revised:2020-07-13 Online:2020-10-01 Published:2020-10-10
  • Contact: WANG Lingling E-mail:shuguangjia@126.com;wll_gzf@163.com

摘要:

准噶尔盆地吉木萨尔凹陷芦草沟组致密白云岩储集层物性差,非均质性强,甜点储集层与围岩波阻抗差异较小,常规反演方法预测储集层难度较大。因此,首先从岩石物理分析出发,分析致密储集层测井响应特征,寻找反演特征参数。然后分别开展叠前和叠后地震反演预测页岩油甜点,根据与钻井岩心的吻合率,优选出最适合的地震预测方法,形成一套综合的页岩油甜点地震预测方法。结果表明,利用密度与纵波速度交会图坐标旋转结果,可以识别芦草沟组上甜点一类储集层,横波阻抗与纵波阻抗交会图坐标旋转结果可以将芦草沟组下甜点一类储集层和二类储集层与三类储集层和非储集层区分开;核磁孔隙度对甜点识别效果最佳,孔隙度4%是识别下限;对比叠后均方根振幅属性、叠后吸收衰减属性、叠前AVO属性和叠前同步反演的甜点预测结果与试油资料的吻合率,发现叠前同步反演在研究区甜点预测方面更有优势,并划分出3类储集层。

关键词: 准噶尔盆地, 吉木萨尔凹陷, 芦草沟组, 页岩油, 甜点, 储集层预测, 地震属性

Abstract:

It is difficult to predict the tight dolomite reservoirs in the Lucaogou formation in the Jimsar sag of the Junggar basin using conventional seismic inversion methods because of the poor physical properties, strong heterogeneity and small impedance contrast between the sweet spot reservoirs and surrounding rock. We begin with rock physics to analyze the seismic response characteristics of the tight reservoirs and search for sensitive parameters of inversion, then carry out poststack and prestack inversion to detect shale sweet spots, and finally select the most suitable methods according to the actual drilling results, and develop comprehensive technologies for predicting shale oil sweet spots. The study indicates: 1. The crossplot of P-wave velocity and density after coordination rotation can be used to identify ClassⅠ reservoirs in the upper sweet spot interval in the Lucaogou formation; 2. The crossplot of P-wave impedance and S-wave impedance can distinguish ClassⅠ, ⅡfromⅢ reservoirs and non-reservoir zones in the lower sweet spot interval in the Lucaogou formation; 3. NMR porosity is the best parameter for shale oil identification, whose lower limit is 4%; and 4. The comparison of the identification results from poststack RMS amplitude, poststack absorption attenuation, prestack AVO and prestack synchronous inversion methods, and formation test data indicates that prestack synchronous inversion is more advantageous in sweet spot prediction in the study area, and based on which, 3 types of reservoirs are classified.

Key words: Junggar basin, Jimsar sag, Lucaogou formation, shale oil, sweet spot, reservoir prediction, seismic attribute

中图分类号: