@Article{IJNAM-2-131,
author = {S. Wang, G. Zhao, L. Xu, D. Guo and S. Sun},
title = {Optimization for Automatic History Matching},
journal = {International Journal of Numerical Analysis and Modeling},
year = {2005},
volume = {2},
number = {0},
pages = {131--137},
abstract = {<p style="text-align: justify;">History matching is an inverse problem of partial
differential equation on mathematics. We adopt the constrained
non-linear optimization to handle this problem, defining the objective
function as the weighted square sum of differences between the wells
simulation values and the corresponding observation values. We develop
an optimization computing program that include Zoutendijk feasible
direction method, Quasi-Newton method (BFGS) and improved Nelder-Mead
simplex method, combined with a black-oil simulator, and discuss the
convergence characters of algorithms in case studies about determining
average porosity and directional permeability, determining low
permeability strip between two wells and determining oil-water relative
permeability curves.</p>},
issn = {2617-8710},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/ijnam/953.html}
}