西南石油大学学报(自然科学版)

Previous Articles     Next Articles

A Study on Probability Inversion Technology

FAN Tingen1,2*, HUANG Xuri1, HU Guangyi2, WANG Zongjun2, Yin Cheng1   

  1. 1. School of Geoscience and Technology,Southwest Petroleum University,Chengdu,SiChuan 610500,China
    2. CNOOC Research Institute,Chaoyang,Beijing 100028,China
  • Online:2016-06-01 Published:2016-06-01

Abstract:

The limited vertical resolution of post-stack constraint sparse pulse inversion method has difficulty meeting the
needs of development. However,by using the probability inversion technique,we get the inversion results by introducing
Bayesian posterior probability to put the uncertainty of seismic,well logs and geology information into probability,and then
we draw random samples from the posterior probability distribution through Markov Chain,and finally make the optimal
expectation obtained by Monte Carlo method as the inversion results. The technology can satisfy the needs of oil development
as it combines the advantages of the high resolution of well with good representation ability of seismic lateral tendency,and can
effectively improve the seismic resolution. The multi-solution of the seismic inversion can be effectively reduced by realizing
lots of equal probability results. The uncertainty analysis of reservoir description is more suitable to geological regularity and
geological understanding when the probability thought is considered. During the research in meandering river sedimentary in
some offshore oilfield,this method has obtained good application effect in sand body superimposed relationship recognition,
sand body boundary recognition,well pattern deployment,and well location optimization.

Key words: fine stratigraphic framework, probability inversion, uncertain description, well pattern deployment, well location
optimization

CLC Number: