Open AccessFull multi-dimensional dynamic comprehensive optimization stochastic simulation is the sustainable trend of future petroleum reservoir description
Author(s) -
Xiaonan Xiao
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1423/1/012049
Subject(s) - computer science , stochastic optimization , operations research , stochastic simulation , field (mathematics) , mathematical optimization , stochastic programming , simulation based optimization , management science , stochastic modelling , industrial engineering , engineering , machine learning , mathematics , statistics , pure mathematics
Being an important and sustainable approach in future petroleum reservoir description as well as a new frontiers subject in information optimization decision making of today’s oil/gas field development, multi-information stochastic dynamic comprehensive optimization simulation bears profound research significance and broad application prospect. The present paper is an introduction to theoretic performance and characteristics of multi-dimensional stochastic dynamic comprehensive optimization simulation, to classification, steps of model establishment, frequently-adopted approaches and problems to be considered in stochastic simulation. The paper, based on the author’s years of profound study and practice, also indicates the trend and latest application progress of stochastic simulation.