...
首页> 外文期刊>Journal of Engineering and Technological Sciences >Velocity versus Offset (VVO) Estimation Using Local Event Correlation and Its Application in Seismic Processing & Analysis
【24h】

Velocity versus Offset (VVO) Estimation Using Local Event Correlation and Its Application in Seismic Processing & Analysis

机译:基于局部事件相关的速度与偏移(VVO)估计及其在地震处理和分析中的应用

获取原文
   

获取外文期刊封面封底 >>

       

摘要

Conventional velocity analysis is usually done in a relatively spare grid, for instance every half kilometers, during the processing of seismic data. It is very laborious work and very subjective. To deliver an accurate velocity picking, processing geophysicists must have a good understanding of geological background of area being analyzed and experiences. Velocity errors often occur during picking. Proper quality control and checking are a must. A good and reliable velocity field is very important in seismic processing for achieving high-quality seismic images as well as for delivering an accurate depth conversion. The new method presented here, was developed to correct velocity errors automatically by means of residual velocity correction, and to produce an offset-dependent RMS velocity field at the same time. The method is data driven, based on the normal move out equation (NMO) and measuring the local even correlation between adjacent traces. The stacking velocity is derived simply by averaging the velocity field. The proposed method was tested on synthetic and real data examples with good result. The velocity field has certain characteristics related to hydrocarbon presence. Supriyono (2011 and 2012) developed a new DHI method using velocity gradient attributes by cross-plotting the velocity versus offset (VVO). The velocity gradient exhibits high anomalous values in the presence of gas.
机译:常规速度分析通常在地震数据处理期间在相对备用的网格中进行,例如每半公里。这是非常费力的工作,而且非常主观。为了提供准确的速度采集,处理地球物理学家必须对要分析的区域的地质背景和经验有很好的了解。速度误差通常在拾取过程中发生。必须进行正确的质量控制和检查。良好而可靠的速度场在地震处理中对于获得高质量地震图像以及实现精确的深度转换非常重要。开发了此处介绍的新方法,以通过残差速度校正自动校正速度误差,并同时生成与偏移有关的RMS速度场。该方法是数据驱动的,基于常规移出方程(NMO)并测量相邻迹线之间的局部均匀相关性。堆叠速度可以通过平均速度场来简单得出。对该方法进行了综合和真实数据实例测试,结果良好。速度场具有与碳氢化合物存在有关的某些特征。 Supriyono(2011和2012)通过对速度与偏移量(VVO)进行交叉绘图,开发了一种使用速度梯度属性的DHI新方法。在存在气体的情况下,速度梯度显示出较高的异常值。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号