勘探评价早期阶段沉积微相研究方法探讨——以东濮凹陷前梨园南地区为例
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摘要
为了提高勘探评价早期阶段的沉积微相研究精度,以东濮凹陷前梨园南部沙河街组沙三中亚段5砂组为例,对沉积微相研究方法进行了探讨。首先,通过岩心观察、单井沉积微相分析,结合研究区沉积特征,将三角洲前缘亚相划分出水下分流河道、水下分流间湾、坝、席状砂4种主要微相。统计单井的微相厚度和累计分布概率,建立定量地质知识库,估算各微相的平面延伸范围和分布规律。随后,进行地震属性提取与组合优选,建立优选属性组合与含砂率的拟合关系,结合实际井资料,综合编制含砂率等值线。最后,以单井含砂率与优势沉积微相的统计关系为基础,以定量地质知识库为约束,结合含砂率等值线,刻画研究层段的平面沉积微相,为早期勘探评价提供了高精度的沉积微相图。
In order to enhance the precision of sedimentary micro-facies analysis at the early stage of exploration evaluation,by taking Zhong 5 Sand Group of the middle member of Es3 in the south of Qianliyuan Area for example,methods for studying the sedimentary micro-facies at the early stage of exploration were discussed.Based on core observation and sedimentary micro-facies analysis of single well,four major sedimentary micro-facies including subwater distributary channel,subwater interdistributary bay,mouth bar and sand sheet were identified in combination with sedimentary characteristics in the studied area.According to the statistical data of sedimentary micro-facies thickness in single well and cumulative frequency distribution,a quantitative geological knowledge database was established to estimate the extended range in plane and distribution rules of each sedimentary micro-facies.Several seismic attributes were extracted and optimal attributes were obtained to build the fitting relationship between optimal attribute assembly and sand containing factors.Then,contour of sand factor was made by using integrated well logging data.Finally,based on statistical relationship between sand factor in single well and dominated sedimentary micro-facies,restricted by the quantitative geological knowledge database and combined with the contour of sand factor,sedimentary micro-facies of target zones is described,it provides high resolution sedimentary micro-facies map for the exploration at the early stage.
In order to enhance the precision of sedimentary micro-facies analysis at the early stage of exploration evaluation,by taking Zhong 5 Sand Group of the middle member of Es3 in the south of Qianliyuan Area for example,methods for studying the sedimentary micro-facies at the early stage of exploration were discussed.Based on core observation and sedimentary micro-facies analysis of single well,four major sedimentary micro-facies including subwater distributary channel,subwater interdistributary bay,mouth bar and sand sheet were identified in combination with sedimentary characteristics in the studied area.According to the statistical data of sedimentary micro-facies thickness in single well and cumulative frequency distribution,a quantitative geological knowledge database was established to estimate the extended range in plane and distribution rules of each sedimentary micro-facies.Several seismic attributes were extracted and optimal attributes were obtained to build the fitting relationship between optimal attribute assembly and sand containing factors.Then,contour of sand factor was made by using integrated well logging data.Finally,based on statistical relationship between sand factor in single well and dominated sedimentary micro-facies,restricted by the quantitative geological knowledge database and combined with the contour of sand factor,sedimentary micro-facies of target zones is described,it provides high resolution sedimentary micro-facies map for the exploration at the early stage.
引文
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[18]Hampson D P.用多属性变换由地震数据预测测井特性[J].勘探地球物理进展,2002,25(3):12～17.
[2]刘麟,阳芳.地震属性在勘探阶段中的应用[J].石油物探,2004,43(S1):34～39.
[3]宋维琪,韩宏伟.地震属性与储层参数组合优化算法[J].石油地球物理勘探,2003,38(S1):108～112.
[4]宋维琪,韩宏伟.地震属性与储层参数联合优化新算法[J].石油物探,2004,43(2):118～122.
[5]侯伯刚,杨池银,武站国,等.地震属性及其在储层预测中的影响因素[J].石油地球物理勘探,2004,39(5):553～558,574.
[6]Sattar N,Khan F A,Farid A,et al.Presenting seismic stratigraphy and attribute analysis as pioneer techniques for delineation of reser-voir quality sand bodies in the Indus Offshore Basin,southwest Pakistan[J].The Leading Edge,2010,29(5):524～529.
[7]Wood L J,Pecuch D,Schulein B,et al.Seismic attribute and sequence stratigraphic integration methods for resolving reservoir geome-try in San Jorge Basin,Argentina[J].The Leading Edge,2000,19(9):952～962.
[8]于兴河,李剑峰.油气储层研究所面临的挑战与新动向[J].地学前缘,1995,2(4):213～219.
[9]武晓玲.东濮凹陷杜桥白地区深层气成藏条件及成藏模式[J].江汉石油学院学报,2000,22(4):14～17.
[10]梁富康.东濮凹陷南部沙三中构造调节带对沉积体系的控制作用[J].现代地质,2011,25(1):55～61.
[11]廖远涛,王华,王家豪,等.东濮凹陷文东-前梨园地区沙三段、沙四段沉积特征和有利储集体预测[J].石油勘探与开发,2004,31(3):75～78.
[12]逯艳杰,刘小红.东濮凹陷杜寨地区沙三3段沉积相研究[J].油气田地面工程,2003,22(6):61～62.
[13]Dalrymple M.The geometry and dimensions of fluvial and incised valley systems[M].Edinburgh:Heriot-Watt University,1998.124～129.
[14]Gibling M R.Width and thickness of fluvial channel bodies and valley fills in the geological record:a literature compilation and classifi-cation[J].Journal of Sedimentary Research,2006,76(1):731～770.
[15]于兴河,李胜利.碎屑岩系油气储层沉积学的发展历程与热点问题思考[J].沉积学报,2009,27(5):880～895.
[16]于兴河.油气储层表征与随机建模的发展历程及展望[J].地学前缘,2008,15(1):1～15.
[17]于兴河,陈建阳,张志杰,等.油气储层相控随机建模技术的约束方法[J].地学前缘,2005,12(3):237～244.
[18]Hampson D P.用多属性变换由地震数据预测测井特性[J].勘探地球物理进展,2002,25(3):12～17.
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