Abstract

Amplitude Variation with Offset (AVO) elastic parameter inversion is a nonlinear optimization problem. When a linear or quasi-linear method is used to solve the problem, the inversion result will be unreliable or inaccurate. In this paper, the immune clonal selection algorithm is applied to the AVO elastic parameter inversion problem. The algorithm adopts the specific initialization strategy from Aki’s and Rechard’s approximation equation used in the elastic parameter inversion process to smooth the initialization parameter curve. Additionally, the genetic operation in the algorithm is accordingly improved. A large number of experiments show that this method can significantly improve inversion accuracy.

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