Funder
China National Petroleum Corporation
China University of Petroleum, Beijing
Reference37 articles.
1. Application of artificial intelligence techniques in predicting the lost circulation zones using drilling sensors;Ahmed;J. Sens.,2020
2. Porosity and permeability of the English (lower cretaceous) sandstones;Akinlotan;Proc. Geol. Assoc.,2016
3. Consolidating rock-physics classics: a practical take on granular effective medium models;Allo;Lead. Edge,2019
4. Real-time porosity prediction using gas-while-drilling data and machine learning with reservoir associated gas: case study for Hassi Messaoud field, Algeria;Ameur-Zaimeche;Mar. Petrol. Geol.,2022
5. Porosity prediction from pre-stack seismic data via committee machine with optimized parameters;Amin;J. Pet. Sci. Eng.,2022
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