OSMAN HAMID o.hamid@rgu.ac.uk
COMPLETED Research Student
Drilling geomechanical assessment using integrated reservoir workflow.
Hamid, Osman; Sanaee, Reza; Oluyemi, Gbenga
Authors
Reza Sanaee
Dr Gbenga Oluyemi g.f.oluyemi@rgu.ac.uk
Associate Professor
Citation
HAMID, O., SANAEE, R. and OLUYEMI, G. [2021]. Drilling geomechanical assessment using integrated reservoir workflow. To be presented at 2021 International field exploration and development conference (IFEDC 2021): efficient development of oil and gas driven by surveillance technology, 16-18 September 2021, Qingdao, China.
Presentation Conference Type | Lecture |
---|---|
Conference Name | 2021 International field exploration and development conference (IFEDC 2021): efficient development of oil and gas driven by surveillance technology |
Conference Location | Qingdao, China |
Start Date | Sep 16, 2021 |
End Date | Sep 18, 2021 |
Deposit Date | Jul 23, 2021 |
Publicly Available Date | Mar 29, 2024 |
Keywords | Drilling geomechanics; Wellbore stability; Empirical solutions; Mathematical modeling; Hydrocarbon production |
Public URL | https://rgu-repository.worktribe.com/output/1391423 |
Files
HAMID 2021 Drilling geomechanical assessment (SLIDES)
(3.2 Mb)
Presentation
HAMID 2021 Drilling geomechanical (SLIDES)
(2 Mb)
PDF
You might also like
Evaluation of caprock integrity for underground storage of CO2 in depleted oil and gas reservoirs using machine learning approaches.
(2022)
Presentation / Conference
Evaluation of caprock integrity for underground storage of CO2 in depleted oil and gas reservoirs using machine learning approach.
(2022)
Presentation / Conference
Advanced geomechanical solutions for reservoir life cycle.
(2021)
Presentation / Conference
A critical review on coupled geomechanics and fluid flow in naturally fractured reservoirs.
(2021)
Journal Article
Multiphase flow modelling in fractured reservoirs using a novel computational fluid dynamics approach.
(2021)
Presentation / Conference
Downloadable Citations
About OpenAIR@RGU
Administrator e-mail: publications@rgu.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search