Integration of Seismic Attributes with Well Logs Using Artificial Neural Network for Predicting the Key Pay Zones Parameters: A Case Study in the Kifl Field, South of Iraq-Reference-Cited by-同舟云学术

Integration of Seismic Attributes with Well Logs Using Artificial Neural Network for Predicting the Key Pay Zones Parameters: A Case Study in the Kifl Field, South of Iraq

Published:2022-08 Issue:16 Volume:15 Page:
ISSN:1866-7511
Container-title:Arabian Journal of Geosciences
language:en
Short-container-title:Arab J Geosci

Author:

Abdulaziz Abdulaziz M.^ORCID,Alsaegh Heba I.

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

https://link.springer.com/content/pdf/10.1007/s12517-022-10440-8.pdf

Reference67 articles.

1. Abdulaziz AM (2020a) The effective seismic attributes in porosity prediction for different rock types: Some implications from four case studies. Egypt J Pet 29:95–104. https://doi.org/10.1016/j.ejpe.2019.12.001

2. Abdulaziz AM (2014) Microseismic monitoring of the hydraulic-fracture growth and geometry in the Upper Bahariya member, Khalda concession, Western Desert. Egypt J Geophys Eng 11(2014):045013

3. Abdulaziz AM, Hawary SS (2020b) Hawary SS (2020) Prediction of Carbonate Diagenesis from Well Logs Using Artificial Neural Network: An Innovative Technique to Understand Complex Carbonate Systems. Ain Shams Engineering Journal 11(4):1387–1401. https://doi.org/10.1016/j.asej.2020.01.010

4. Abdulaziz AM, Mahdi H, Sayyouh MH (2018) Prediction of Reservoir Quality Using Well Logs and Seismic Attributes Analysis with Artificial Neural Network. J Appl Geophys 161:239–254

5. Al-Ameri TK, Al-Khafaji AJ (2013) Oil seeps affinity and basin modeling used for hydrocarbon discoveries in the Kifle, Merjan, and Ekheither fields. West Iraq Geoarab 14(7):5273–5294

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