HIGHLIGHTS
- who: JIANGUO SONG and colleagues from the School of Geosciences, China University of Petroleum (East China), Qingdao, Shandong, China have published the article: Ensemble Deep Learning-Based Porosity Inversion From Seismic Attributes, in the Journal: (JOURNAL)
- what: The supervised regression learning approach was the focus of the study . The aim here is to give the algorithm enough ability to successfully generalize and strengthen its interpretability. In total, four models have been trained with different optimizers. To address these problems, in this study, the authors have proposed the approach of using DL, which has proven to . . .
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