苏里格气田SQW区块天然气储层预测与评价
Predication and Estimation on Gas Reservoir of SQW Block in Sulige Gas Field
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- 引用格式:
-
穆艳芳,杜新江,余若愚,孙海川,李雪梅,王铎.苏里格气田SQW区块天然气储层预测与评价[J].天然气与石油,2011,29(3):0.doi:
.Predication and Estimation on Gas Reservoir of SQW Block in Sulige Gas Field[J].Natural Gas and Oil,2011,29(3):0.doi:
- DOI:
- 作者:
- 穆艳芳1 杜新江2 余若愚1 孙海川1 李雪梅1 王 铎1
- 作者单位:
- 1.中国矿业大学（北京）地球科学与测绘工程学院，2.中国石油华北油田石油勘探开发研究院
- 关键词:
- 拓频处理；波阻抗反演；高分辨率；有效砂岩；储层预测
High frequency extension； Acoustic impedance inversion； High resolution； Effective sandstone； Reservoir prediction
- 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.
