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稀疏脉冲反演实际上就是利用反褶积原理,从带有噪声的地震道中计算出具有稀疏分布特征的反射系数的振幅和时间.稀疏脉冲反演是非线性优化问题,通常都是把非线性优化问题转化为线性优化问题,然后用线性优化算法求解.以范数约束为基础,提出L1-L2范数联合约束求解的方法.该算法采用了目前国际流行的内点算法,与传统的优化算法相比,这种算法具有精度高,速度快的优点.通过研究人工模型和南海某油田实际数据,表明该算法的计算结果和测井记录吻合好,提高了地震分辨率,目的层段分辨率优于8m.利用反射系数剖面预测的储层厚度和开发井吻合很好,大大地降低了资源量计算的风险和油田开发的不确定性.
Sparse pulse inversion is actually the use of deconvolution principle, from the seismic traces with noise to calculate the sparse distribution of the reflection coefficient of the amplitude and time.Sparse pulse inversion is a nonlinear optimization problem, usually non-linear optimization The problem is transformed into a linear optimization problem, which is then solved by a linear optimization algorithm.On the basis of the norm constraint, a joint constrained L1-L2 norm solution method is proposed.The algorithm uses the popular international interior point algorithm and the traditional optimization algorithm This algorithm has the advantages of high precision and high speed.By studying the artificial model and the actual data of an oil field in the South China Sea, the calculated results of the algorithm are in good agreement with the well logging data, which improves the resolution of seismic data and the resolution of target layer Which is better than 8m.The prediction of reservoir thickness by reflection coefficient profile is in good agreement with the development well, which greatly reduces the risk of resource calculation and the uncertainty of oilfield development.