摘要
针对沁水盆地南部二叠系山西组煤系地层煤层气富集的特征,将频率衰减梯度属性应用于该区的煤层含气性检测。首先基于小波变换,利用分解小波谱的时频分析方法,有效地提取了煤层气中地震信号的时间-频率分布特征;其次构建了与实际勘探目标储层物性参数近似的地质模型。模拟结果表明用频率衰减梯度属性识别煤层的含气性的方法是可行的。将该方法应用到沁水盆地南部的煤层含气性预测中,其预测结果与实际测井解释含气性的结论相一致,有效地提高了储层预测的准确性;且为沁水盆地南部煤层气及类似储层的预测提供一种可行的方法。
Coalbed methane is highly enriched in southern Qinshui Basin＇s P1 s. In this work,aiming to predict Coalbed Methane in this region frequency attenuation gradient was used. A time-frequency method was proposed to analyze wavelet transform. A geological model to simulate the real target reservoir was built. The time-frequency distribution of seismic signal was extracted. The results show that using frequency attenuation gradient is possible to detect gas content in coal,the results are consistent with the real logging results and better than reservoir prediction in terms of predication accuracy of coalbed methane. The method can be used by domain scientist to predict coalbed methane in southern Qinshui Basin and other reservoir similar to Qinshui Basin.
出处
《科学技术与工程》
北大核心
2016年第7期139-145,共7页
Science Technology and Engineering
基金
国家"十二五"油气田及煤层气科技重大专项专题(2011ZX05033-004)
国家高技术研究发展计划(863计划)项目(2013AA064201)
中国石油天然气集团公司项目(2014A-3612)联合资助
关键词
频率衰减梯度
煤层气
属性
叠前道集
含气性预测
frequency attenuation gradient
coalbed methane
attribute
pre-stack gather
gasbearing prediction
