利用平湖八角亭工区的近中远角道集数据体，成功应用了同时反演算法（SADI），最终将地震振幅数据体转化为描述岩石岩性和流体的属性数据体。
SADI algorithm was executed successfully in the BJT area with near-, middle-, and far-stack dataset, and amplitude dataset was finally converted to attributes dataset describing lithology and fluid.
该方法通过引入加权最小平方目标泛函，将层状介质中的重力、地震资料联合反演问题转化成具体的优化问题。
The joint inversion problem of gravimetric and seismic data in layered medium can be converted into an optimization problem by introducing a weighted least square objective functional.
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