TY - GEN
T1 - Prediction of facies distribution in a clastic reservoir using a hidden Markov model combined with an expectation-maximization algorithm
AU - Suk, Hwasoo
AU - Min, Baehyun
AU - Kang, Joe M.
AU - Jeong, Cheolkyun
N1 - Publisher Copyright:
Copyright © 2016 by ASME.
PY - 2016
Y1 - 2016
N2 - This study determines facies distribution in a clastic reservoir using a hidden Markov model combined with an Expectation-Maximization algorithm. Iterating expectation and maximization steps of the algorithm builds the hidden Markov model by tuning the model parameters including initial state distribution, state transition probability distribution, and observable symbol probability distribution. Optimized model parameters contribute to improving the predictability of facies distribution along the well trajectory using core and logging data.
AB - This study determines facies distribution in a clastic reservoir using a hidden Markov model combined with an Expectation-Maximization algorithm. Iterating expectation and maximization steps of the algorithm builds the hidden Markov model by tuning the model parameters including initial state distribution, state transition probability distribution, and observable symbol probability distribution. Optimized model parameters contribute to improving the predictability of facies distribution along the well trajectory using core and logging data.
UR - http://www.scopus.com/inward/record.url?scp=84996549546&partnerID=8YFLogxK
U2 - 10.1115/OMAE2016-54773
DO - 10.1115/OMAE2016-54773
M3 - Conference contribution
AN - SCOPUS:84996549546
T3 - Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE
BT - Polar and Arctic Sciences and Technology; Petroleum Technology
PB - American Society of Mechanical Engineers (ASME)
T2 - ASME 2016 35th International Conference on Ocean, Offshore and Arctic Engineering, OMAE 2016
Y2 - 19 June 2016 through 24 June 2016
ER -