摘要
In some oilfields with 3D seismic data, the deeper structure cannot be observed due to poor quality deep seismic data. Layer stripping using both seismic and gravity data is a solution for this problem but it cannot get satisfactory results because the horizontal variations in formation density are ignored. We present a variable-density formation separation technique to address this problem. Based on 3D seismic depth data and laterallyvariable density derived from 3D seismic velocity data, the upper formation gravity effect is calculated by forward modeling and removed from the Bouguer gravity. The formation-separated gravity anomaly with variable density is obtained, which mainly reflects the deeper geological structure. In block XX of North Africa, the shallow formations seismic data is excellent but the data at the top of basement is poor. The formation-separated gravity anomaly processed under the control of 3D seismic data fits well with the known seismic interpretation and wells. It makes the geological interpretation more reliable.
在有 3D 的一些油矿地震数据，更深的结构不能由于差的优秀深地震的数据被观察。层脱衣用地震并且严肃数据是这个问题的一个解决方案，但是因为在形成密度的水平变化被忽略，它不能得到令人满意的结果。我们在场一种可变密度的形成分离技术到地址这个问题。把地震速度数据基于地震深度数据和旁边地变量密度从 3D 导出的 3D，上面的形成严肃效果被向前当模特儿计算并且从 Bouguer 严肃搬迁了。有可变密度的分开形成的严肃异例被获得，它主要反映更深地质的结构。在诺思非洲的块 XX，浅形成地震数据是优秀的，但是在地下室的顶的数据是差的。在地震数据与已知的地震解释和井适合很好的 3D 的控制下面处理的分开形成的严肃异例。它使地质的解释更可靠。
