ABSTRACT In this study, we examine the relationship between Brune stress drop and fault slip where the stress drop is estimated using the Empirical Green's Function (EGF) method and slip distribution is derived from seismic and geodetic data inversion.
Calderoni Giovanna +2 more
wiley +1 more source
Integrating NMR and machine learning for pore-type driven rock classification in the heterogeneous Asmari carbonate reservoirs. [PDF]
Veysi M +5 more
europepmc +1 more source
Multiple machine learning algorithms for lithofacies prediction in the deltaic depositional system of the lower Goru Formation, Lower Indus Basin, Pakistan. [PDF]
Saleem MA +4 more
europepmc +1 more source
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Anwar S, El Kadi H, Reda M, Mostafa T.
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A physics-driven workflow for gas-sand identification in Pliocene turbidites using pre-stack inversion and seismic attributes, offshore Egypt. [PDF]
Mahdy A +3 more
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Li C +6 more
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Core-based recognition of well proppant particles using an enhanced ResNet model. [PDF]
Yin S, Yang E, Wang X, Dong C.
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Integration of SBAS-InSAR and RFE-RF-XGBoost for Landslide Vulnerability Assessment: A Case Study in Zhaotong City, Yongshan County. [PDF]
Huang J +6 more
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Landslide susceptibility assessment using hybrid geospatial, frequency ratio, and AHP models in Souk Ahras province, Northeastern of Algeria. [PDF]
Rebouh N +9 more
europepmc +1 more source
Intelligent lithology identification via spectral-image fusion
Zhenhao Xu, Shan Li, Peng Lin, Qianji Li
openaire +1 more source

