苏里格气田SQW区块天然气储层预测与评价
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摘要
地震储层预测评价技术是一门技术含量较高的现代技术,但在评价薄的砂岩储层时仍存在各种困难和问题。以苏里格气田SQW区块二叠系石盒子组盒8段和山西组山1段储层为研究对象,对纵向上厚度薄,横向上不连续分布特点进行了地震储层评价研究。SQW区块由于目的层段地震数据主频较低,储层的地震响应隐含于薄互层复合响应中,地震属性参数不能表征储层含气特征。采用高分辨率拓频处理技术和基于小波边缘分析的波阻抗反演技术对SQW区块地震数据进行重新处理,地震资料品质得到改善,结合测井统计分析,重新构建了有效砂岩判别模式,预测了天然气储层的分布。提出的地震处理和储层评价方法为解决河流相沉积的薄互储层分布问题提供了有参考价值的经验和实例,研究结果为苏里格气田天然气储层预测提供了一种解决手段。
Seismic reservoir estimation is a modern technology with strong technical character, but various difficulties exist in estimating thin sand reservoir. Analyzed are reservoirs of He8 and Shan1 sections in SQW block of Sulige Gas Field and researched are characteristics of its vertical thin depth and horizontal discontinuous distribution and conducted is its seismic reservoir estimation. Because seismic dominant frequency of target sections in SQW block is low and seismic responses of the reservoirs are hidden in the responses of thin interbeds, characteristics of the reservoir gas can not be characterized by using seismic attribute parameters. Adopted are high resolution extension frequency processing technology and acoustic resistance inversion technology based on wavelet edge analysis to reprocess seismic data from SQW block and the quality of seismic data is improved accordingly. Reestablished is the effective sandstone discrimination model according to logging statistical analysis results to predict natural gas reservoir distribution. The seismic disposal and reservoir estimation method provides experience with significant reference value and an example for identifying thin interbeds distribution of fluvial deposits and the research results provide a means of predicting Sulige Gas Field reservoir.
Seismic reservoir estimation is a modern technology with strong technical character, but various difficulties exist in estimating thin sand reservoir. Analyzed are reservoirs of He8 and Shan1 sections in SQW block of Sulige Gas Field and researched are characteristics of its vertical thin depth and horizontal discontinuous distribution and conducted is its seismic reservoir estimation. Because seismic dominant frequency of target sections in SQW block is low and seismic responses of the reservoirs are hidden in the responses of thin interbeds, characteristics of the reservoir gas can not be characterized by using seismic attribute parameters. Adopted are high resolution extension frequency processing technology and acoustic resistance inversion technology based on wavelet edge analysis to reprocess seismic data from SQW block and the quality of seismic data is improved accordingly. Reestablished is the effective sandstone discrimination model according to logging statistical analysis results to predict natural gas reservoir distribution. The seismic disposal and reservoir estimation method provides experience with significant reference value and an example for identifying thin interbeds distribution of fluvial deposits and the research results provide a means of predicting Sulige Gas Field reservoir.
引文
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[2]沈玉林,郭英海,李壮福.鄂尔多斯盆地苏里格庙地区二叠系山西组及下石盒子组盒八段沉积相[J].古地理学报,2006,8(1):53-62.
[3]王勇,王文武,郭亚红,等.苏里格气田凝析油稳定工艺及橇装化研究[J].天然气与石油,2010,28(6):49-51.
[4]杨华,傅锁堂,马振芳,等.快速高效发现苏里格大气田的成功经验[J].中国石油勘探,2001,6(4):89-94.
[5]冉新权,李安琪.苏里格气田开发论[M].北京:石油工业出版社,2008,1-27.
[6]张明禄,达世攀,陈调胜.苏里格气田二叠系盒8段储集层的成岩作用及孔隙演化[J].天然气工业,2002,22(6):13-16.
[7]何东博,贾爱林,田昌炳.苏里格气田储集层成岩作用及有效储集层成因[J].石油勘探与开发,2004,31(3):69-71.
[8]Morley L,Claerbout J F.Wave Equation Deconvolved TimeSections[J].SEP,1978,15:191-202.
[9]Claerbout J F.Minimum Information Deconvolution[J].SEP,1978,15(1):109-122.
[10]俞寿朋,查中圻,梁杰.频率加强滤波[J].石油地球物理勘探,1984,6(3):200-209.
[11]Huang X,Kelkar M,Chopra A,et al.Wavelet sensitivity studyon inversion using heuristic combinational algorithms[C].Expanded Abstracts of 65th SEG Mtg,1995,(14):1088-1090.
[12]杨文采.地球物理反演的理论与方法[M].北京:地质出版社,1997,10-80.
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