摘要
复杂地区近地表低降速带速度和厚度剧烈的横向变化会导致严重的静校正问题.为了解决这类静校正问题,提出利用调查点的微测井信息,沿近地表构造变化趋势构建近地表模型,并将其作为层析成像反演技术的初始模型,来改善反演的准确性.通过修改模型并进行多次迭代来最终得到准确的近地表模型,然后利用该近地表模型计算出静校正量.实际应用表明,该方法能够有效解决复杂地形地区的静校正问题.
Sharp lateral variation of weathering-layer velocity and thickness in complex terrain area can cause serious statics problem. To solve the statics problem of this kind, a method which uses the micro-logging infor-mation to build near-surface model along the variation tendency of subsurface structure is introduced. The near-surface model which has been built by the method is inputt as the prior-information of tomography inver-sion method to improve the accuracy of inversion result. The rusuhs show that the method is available in real example of seismic data processing.
出处
《郑州大学学报（工学版）》
CAS
北大核心
2013年第1期121-124,共4页
Journal of Zhengzhou University（Engineering Science）
基金
河南省国际合作项目基金资助项目(104300510033)
关键词
微测井
层析成像反演
静校正
近地表模型
micro-logging
tomography inversion
static correction
near-surface model
