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A parametric study of machine learning techniques in petroleum reservoir permeability prediction by integrating seismic attributes and wireline data
Research article (Journal of Petroleum Science and Engineering, 2019) · cited 114× · AI/ML
A parametric study of machine learning techniques in petroleum reservoir permeability prediction by integrating seismic attributes and wireline data
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A parametric study of machine learning techniques in petroleum reservoir permeability prediction by integrating seismic attributes and wireline data is a scholarly article[1].
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A parametric study of machine learning techniques in petroleum reservoir permeability prediction by integrating seismic attributes and wireline data's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). A parametric study of machine learning techniques in petroleum reservoir permeability prediction by integrating seismic attributes and wireline data. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-parametric-study-of-machine-learning-techniques-in-petroleum-reservoir-permeability-prediction-by-integrating-seismic-
MLA“A parametric study of machine learning techniques in petroleum reservoir permeability prediction by integrating seismic attributes and wireline data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-parametric-study-of-machine-learning-techniques-in-petroleum-reservoir-permeability-prediction-by-integrating-seismic-.
BibTeX@misc{4ortxyz_a-parametric-study-of-machine-learning-techniques-in-petroleum-reservoir-permeability-prediction-by-integrating-seismic-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A parametric study of machine learning techniques in petroleum reservoir permeability prediction by integrating seismic attributes and wireline data}}, year = {2026}, url = {https://4ort.xyz/entity/a-parametric-study-of-machine-learning-techniques-in-petroleum-reservoir-permeability-prediction-by-integrating-seismic-}, note = {Accessed: 2026-05-24}}
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