最大熵谱分解结合小波变换技术在层序地层划分中的应用  

Application of maximum entropy spectrum decomposition combined with wavelet transform in the division of sequence stratigraphy

作　　者：卢伟[1] 李国福[1] 

机构地区：[1]中国石油大庆油田有限责任公司勘探开发研究院,黑龙江大庆163712

出　　处：《油气藏评价与开发》2018年第1期1-3,11,共4页Petroleum Reservoir Evaluation and Development

基　　金：国家自然科学基金重点项目"四川盆地构造动力学;盆地叠合特征及油气富集规律研究"(41030426)

摘　　要：由于测井曲线具有良好的高分辨率及连续性,因而在高频层序地层划分研究中,其发挥着不可替代的作用。采用最大熵谱分解技术对测井曲线进行预测误差分析,进一步计算得到预测误差趋势曲线。小波变换技术将一维深度域的测井信号转换到二维的深度—尺度域。将两者技术有机结合可以很好地识别出地层多级次的沉积旋回,较大程度地减小了人为因素的干扰。以该方法对巴彦呼舒凹陷的实际测井资料进行了高频地层层序划分,取得了较好的应用效果。Due to the fine resolution and continuity of the well log, it plays an irreplaceable role in the high frequency sequence stratigraphic division. By the adoption of the maximum entropy spectrum decomposition technology to analyze the predication error of the well log, the prediction error trend curve is obtained by further calculation. The wavelet transform technology transforms the one-dimensional depth domain logging signals into the two-dimensional depth and the scale domain logging signals. And the organ- ic combination of the two techniques can well identify the multi-order sedimentary cycles of the stratum, so the interferences of the human factors are greatly reduced. The high frequency stratigraphic sequence division of the actual log data in Bayanhushu Sag is conducted by using this method, and the application effect is good.

关 键 词：最大熵谱分解 预测误差 小波变换 沉积旋回 地层层序 

分 类 号：TE121.34[石油与天然气工程—油气勘探]