TY  - GEN
AB  - This book presents unique features of the adaptive modeling approach based on new machine learning algorithms for petroleum exploration, development, and production. The adaptive approach helps simulation engineers and geoscientists to create adequate geological and hydrodynamic models. This approach is proven to be a real alternative to traditional techniques, such as deterministic modeling. Currently, machine-learning algorithms grow in popularity because they provide consistency, predictiveness, and convenience. The primary purpose of this book is to describe the theoretical state of the adaptive approach and show some examples of its implementation in simulation and forecasting different reservoir processes.
AU  - Ursegov, Stanislav,
AU  - Zakharian, Armen,
CN  - TN271.P4
DO  - 10.1007/978-3-030-67474-8
DO  - doi
ID  - 1434452
KW  - Petroleum
KW  - Oil fields
KW  - Machine learning.
KW  - Pétrole
KW  - Gisements pétrolifères
KW  - Apprentissage automatique.
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-67474-8
N2  - This book presents unique features of the adaptive modeling approach based on new machine learning algorithms for petroleum exploration, development, and production. The adaptive approach helps simulation engineers and geoscientists to create adequate geological and hydrodynamic models. This approach is proven to be a real alternative to traditional techniques, such as deterministic modeling. Currently, machine-learning algorithms grow in popularity because they provide consistency, predictiveness, and convenience. The primary purpose of this book is to describe the theoretical state of the adaptive approach and show some examples of its implementation in simulation and forecasting different reservoir processes.
SN  - 9783030674748
SN  - 3030674746
T1  - Adaptive approach to petroleum reservoir simulation /
TI  - Adaptive approach to petroleum reservoir simulation /
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-67474-8
ER  -