Connectionist model predicts the porosity and permeability of petroleum reservoirs by means of petro-physical logs: Application of artificial intelligence

New perspectives in mercury porosimetry

Carlos A. Leon y Leon · Advances in Colloid and Interface Science · 1998 · 448 citations

Natural Sciences, Materials Science, Physics +10

Tight gas sands permeability estimation from mercury injection capillary pressure and nuclear magnetic resonance data

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Engineering, Chemical Engineering, Earth Sciences +15

Permeability-porosity relationships in sedimentary rocks

P. H. Nelson · ˜The œLog analyst/˜The œlog analyst · 1994 · 343 citations

Engineering, Earth Sciences, Geology +14

Evolving artificial neural network and imperialist competitive algorithm for prediction oil flow rate of the reservoir

Mohammad Ali Ahmadi, Mohammad Ebadi, Amin Shokrollahi et al. · Applied Soft Computing · 2012 · 293 citations

Computing, Computer Science, Petroleum Engineering +13

Reservoir permeability prediction by neural networks combined with hybrid genetic algorithm and particle swarm optimization

Mohammad Ali Ahmadi, Sohrab Zendehboudi, Ali Lohi et al. · Geophysical Prospecting · 2012 · 226 citations

Engineering, Computer Science, Petroleum Engineering +16