Advances in Oil and Gas Exploration & Production

Ursegov, Stanislav; Zakharian, Armen

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.

Details

Published by: Springer

Publication Date: 2022-02-02

Format: Paperback

ISBN-13: 9783030674762

DOI: 10.1007/978-3-030-67474-8

Dimensions: 254cm x178cm

Pages: 86