Integrating lithofacies and well logging data into smooth generalized additive model for improved permeability estimation: Zubair formation, South Rumaila oil field-Reference-Cited by-同舟云学术

Integrating lithofacies and well logging data into smooth generalized additive model for improved permeability estimation: Zubair formation, South Rumaila oil field

Published:2018-10-08 Issue:3 Volume:40 Page:315-332
ISSN:0025-3235
Container-title:Marine Geophysical Research
language:en
Short-container-title:Mar Geophys Res

Author:

J Al-Mudhafar Watheq

Publisher

Springer Science and Business Media LLC

Subject

Geochemistry and Petrology,Geophysics,Oceanography

Link

http://link.springer.com/content/pdf/10.1007/s11001-018-9370-7.pdf

Reference35 articles.

1. Abdulraheem A, Sabakhy E, Ahmed M, Vantala A, Raharja PD, Korvin G (2007) Estimation of permeability from wireline logs in a middle eastern carbonate reservoir using fuzzy logic. Presented at the SPE middle east oil and gas show and conference, Bahrain. https://doi.org/10.2118/105350-MS

2. Ahmed U, Crary SF, Coates GR (1991) Permeability estimation: the various sources and their interrelationships. JPT 43(05):578–587. https://doi.org/10.2118/19604-PA

3. Al-Ameri TK, Al-Khafaji AJ, Zumberge J (2009) Petroleum system analysis of the Mishrif reservoir in the Ratawi, Zubair, North and South Rumaila oil fields, southern Iraq. GeoArabia 14:91–108

4. Al-Mudhafar WJM (2014a) Integrating Markov chains for Bayesian estimation of vertical facies sequences through linear discriminant analysis. Presented at the 76th EAGE conference and exhibition, Amsterdam. https://doi.org/10.3997/2214-4609.20141336

5. Al-Mudhafar WJM (2014b) Using generalized linear regression of multiple attributes for modeling and prediction the formation permeability in sandstone reservoir. Presented at the Offshore Technology Conference, Houston, Texas. https://doi.org/10.4043/25158-MS

Cited by 26 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Developing a semi-analytical model for estimating mechanical properties of sandstone reservoirs: Enhancing applications in hydrocarbon production and underground gas storage;Geoenergy Science and Engineering;2024-09

2. Advanced machine learning for missing petrophysical property imputation applied to improve the characterization of carbonate reservoirs;Geoenergy Science and Engineering;2024-07

3. Advanced machine learning approaches for predicting permeability in reservoir pay zones based on core analyses;Heliyon;2024-06

4. Deep learning algorithm-enabled sediment characterization techniques to determination of water saturation for tight gas carbonate reservoirs in Bohai Bay Basin, China;Scientific Reports;2024-05-28

5. Evaluating the Zubair reservoir (Main Pay) in selected wells of the Rumaila Oilfield, southern Iraq, using nuclear magnetic resonance logging and petrophysical analysis data;Carbonates and Evaporites;2024-05-19