The prestack seismic stochastic inversion based on quantum Metropolis–Hastings method
Chen Zhao, Guangzhi Zhang · 2016
Improving the resolution of seismic inversion is vital for the seismic inversion problems. Seismic stochastic inversion can make use of the high frequency information of logging data and improve the vertical resolution. The Markov chain Monte Carlo (MCMC) method is widely used in stochastic inversion at present. However conventional Markov chain Monte Carlo (MCMC) method has some limits. This paper introduces a new stochastic inversion method based on Quantum Metropolis-Hastings method to deal with the pre-stack seismic inversion problems. Presentation Date: Thursday, October 20, 2016 Start Time: 11:00:00 AM Location: 174 Presentation Type: ORAL