Abstract
In recent years, predicting reservoir’s behavior as a function of changes in field stresses has become a focus in the E&P industry, with an increased interest to unlock production from unconventional resources.
This Chapter is Co-Authored by: Dr. Mohammad Omidvar Eshkalak, University of Texas.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this chapter
Cite this chapter
Mohaghegh, S.D. (2017). Synthetic Geomechanical Logs. In: Shale Analytics. Springer, Cham. https://doi.org/10.1007/978-3-319-48753-3_6
Download citation
DOI: https://doi.org/10.1007/978-3-319-48753-3_6
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-48751-9
Online ISBN: 978-3-319-48753-3
eBook Packages: EnergyEnergy (R0)