Toward the Scientific Interpretation of Geophysical Well Logs: Typical Misunderstandings and Countermeasures
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Geochemistry and Petrology,Geophysics
Link
https://link.springer.com/content/pdf/10.1007/s10712-022-09746-9.pdf
Reference98 articles.
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3. Aghli G, Moussavi-Harami R, Mohammadian R (2020) Reservoir heterogeneity and fracture parameter determination using electrical image logs and petrophysical data (a case study, carbonate Asmari Formation, Zagros Basin, SW Iran). Petrol Sci 17:51–69
4. Al-Mudhafar WJ (2020) Integrating machine learning and data analytics for geostatistical characterization of clastic reservoirs. J Petrol Sci Eng 195:107837
5. Ameen MS (2014) Fracture and in-situ stress patterns and impact on performance in the khuff structural prospects, eastern offshore Saudi Arabia. Mar Pet Geol 50(50):166–184
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