三维斜井XSP-CDP叠加成像

发布时间：2018-03-02 21:33

本文选题：井间地震　切入点：逐段迭代正演　出处：《地球物理学进展》2017年03期 　论文类型：期刊论文

【摘要】：为了解决三维斜井井间地震数据成像问题,借鉴二维地面地震弯线及宽线处理思路,将三维井间地震成像问题转换成二维成像问题进行研究.利用三维逐段迭代方法对三维斜井井间地质模型进行正演模拟,计算上、下行反射波走时及反射点位置,通过对比正演记录与实际资料的特征,调整地质模型参数获取准确速度场.然后对波场分离后的共炮集数据进行反射波归位,得到共反射点道集数据.最后根据反射点的分布选择一条反射点分布最集中的剖面线,以一定的宽度将剖面线左右的反射点包裹起来;根据叠加宽度划分成大小相等的矩形面元,将面元内的共反射点数据投影到剖面线上进行二维叠加成像.通过模型测试,三维XSP-CDP叠加方法能有效反演地下结构特征,指导三维井间地震采集观测系统的设计并解决不共面斜井叠加成像问题.应用该方法对M地区实际资料进行成像研究,结果表明该方法可有效反演地下三维地质结构特征,为进一步数据处理提供依据.
[Abstract]:In order to solve the problem of seismic data imaging between three dimensional inclined wells, two dimensional seismic bending line and wide line processing method are used for reference. The 3-D cross-well seismic imaging problem is transformed into a two-dimensional imaging problem. The 3-D cross-well geological model is simulated forward by using the three-dimensional piecewise iteration method. The travel time and the position of the reflection point are calculated. By comparing the characteristics of forward modeling and actual data, the parameters of geological model are adjusted to obtain accurate velocity field. Finally, according to the distribution of reflection points, a section line with the most concentrated distribution of reflection points is selected, and the reflection points around the profile line are wrapped in a certain width. According to the stacking width, the common reflection point data are projected onto the section line for 2D stack imaging. Through the model test, the 3D XSP-CDP stacking method can effectively retrieve the underground structural features. To guide the design of 3D cross-well seismic acquisition and observation system and to solve the problem of stacking imaging of non-coplanar inclined wells, the method is used to study the actual data in M area. The results show that this method can effectively invert the characteristics of 3D geological structure. To provide the basis for further data processing.
【作者单位】：长安大学地质工程与测绘学院;西安石油大学地球科学与工程学院;华北油田第一采油厂地质研究所;塔里木油田分公司勘探开发研究院;
【分类号】：P631.4

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