石油化工高等学校学报

石油化工高等学校学报 ›› 2017, Vol. 30 ›› Issue (4): 69-76.DOI: 10.3969/j.issn.1006-396X.2017.04.013

• 石油地质 • 上一篇    下一篇

概率体约束地质建模在西湖凹陷X气田的应用

杨京1,2林承焰1,2张宪国1,2陈仕臻1,2
  

  1. 1.中国石油大学(华东) 油藏地质重点实验室,山东 青岛 266580; 
    2.中国石油大学(华东) 地球科学与技术学院, 山东 青岛 266580
  • 收稿日期:2016-12-13 修回日期:2017-03-01 出版日期:2017-08-29 发布日期:2017-08-29
  • 通讯作者: 林承焰(1963),男,博士,教授,博士生导师,从事油气藏开发地质学及油藏描述、油气地质与勘探方面研究; E-mail:lincy@epc.ecu.cn
  • 作者简介:杨京(1992),男,硕士研究生,从事油气藏开发地质及储层地质方面研究;E-mail:319910724@qq.com
  • 基金资助:
    国家重大科技专项“深层厚储层内部甜点地质成因及评价”(2016ZX05027004002);
    国家自然科学基金项目“辫状河储层内部结构的地震沉积学表征方法研究”(41202092);
    国家自然科学基金项目“基于沉积过程分析的砂质辫状河储层中细粒沉积成因机制与分布模式研究”(41672129)

Application to Geological Modeling of X Oil Field in Xihu Sag Based on Probabilistic Volume

  1. 1.Reservoir Geology Key Laboratory of Shandong Province,China University of Petroleum,Qingdao Shandong 266580,China;
    2.School of Geosciences, China University of Petroleum, Qingdao Shandong 266580,China
  • Received:2016-12-13 Revised:2017-03-01 Published:2017-08-29 Online:2017-08-29

摘要:

针对辫状河沉积致密砂岩气藏的强非均质性特点,常规地质建模方法难以准确表征储层“甜点”分布及属性预测。以东海西湖凹陷X气田为例,采用“甜点”相控、多点地质统计、概率体约束方法,将“甜点”以相的形式进行相控建模,针对不同类型“甜点”采用不同方法生成训练图像,并以泊松比数据体和“甜点”概率体为第二约束完成多点相模拟。结果表明,将“甜点”以相的形式进行多点相模拟能克服单一相控的局限并有效表征出“甜点”的空间结构,分段采用不同训练图像模拟的“甜点”符合地质认识,在概率体约束下“甜点”分布预测的精度得到提高。

关键词: 西湖凹陷, “甜点”, 训练图像, 多点地质统计, 概率体

Abstract:

Modeling of tight gas reservoir in less well area on the sea is one of problems which are eager to overcome. Aiming at solving high heterogeneity of tight sandstone gas reservoirs in braided river deposits, it is difficult to accurately characterize reservoir's distribution of "sweet point" and properties using conventional geological modeling method. In this paper, using "sweet point" controlling, multiplepoint geostatistics and probabilistic volume constraint on thick layer reservoirs in the East China Sea, we have innovatively modeled using "sweet point" in a form of facies and generated training image in different ways considering different kinds of "sweet point" and simulated facies based on Poisson's ratio volume and "sweet point" probabilistic volume as a second constraint. The results show that simulating "sweet point" in the form of facies by using multiplepoint can overcome limitation of single facies and characterize the spatial structure of "sweet point". The result is in line with geological knowledge by using different training images in different members. The prediction accuracy of distribution of "sweet point" has been improved under the constraint of probabilistic volume.

Key words: Xihu sag, Sweet point, Training image, Multiplepoint geostatistics, Probabilistic volume

引用本文

杨京,林承焰,张宪国,陈仕臻. 概率体约束地质建模在西湖凹陷X气田的应用[J]. 石油化工高等学校学报, 2017, 30(4): 69-76.

Yang Jing,Lin Chengyan,Zhang Xianguo,Chen Shizhen. Application to Geological Modeling of X Oil Field in Xihu Sag Based on Probabilistic Volume[J]. Journal of Petrochemical Universities, 2017, 30(4): 69-76.

使用本文