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Advances in Computational Intelligence Applications in the Mining Industry
| Advances in Computational Intelligence Applications in the Mining Industry |
| Autore | Ganguli Rajive |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (324 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
truck dispatching
mining equipment uncertainties orebody uncertainty discrete event simulation Q-learning grinding circuits minerals processing random forest decision trees machine learning knowledge discovery variable importance mineral prospectivity mapping random forest algorithm epithermal gold unstructured data blast impact empirical model mining fragmentation mine worker fatigue random forest model health and safety management stockpiles operational data mine-to-mill geostatistics ore control mine optimization digital twin modes of operation geological uncertainty multivariate statistics partial least squares regression oil sands bitumen extraction bitumen processability mine safety and health accidents narratives natural language processing random forest classification hyperspectral imaging multispectral imaging dimensionality reduction neighbourhood component analysis artificial intelligence mining exploitation masonry buildings damage risk analysis Bayesian network Naive Bayes Bayesian Network Structure Learning (BNSL) rock type mining geology bluetooth beacon classification and regression tree gaussian naïve bayes k-nearest neighbors support vector machine transport route transport time underground mine tactical geometallurgy data analytics in mining ball mill throughput measurement while drilling non-additivity coal petrographic analysis macerals image analysis semantic segmentation convolutional neural networks point cloud scaling fragmentation size analysis structure from motion |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557613103321 |
Ganguli Rajive
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Colloids and Interfaces in Oil Recovery / Spencer Taylor
| Colloids and Interfaces in Oil Recovery / Spencer Taylor |
| Autore | Taylor Spencer |
| Pubbl/distr/stampa | Basel, Switzerland : , : MDPI, , 2019 |
| Descrizione fisica | 1 electronic resource (234 p.) |
| Soggetto non controllato |
multicomponent ion exchange
alcohols polymer-enhanced foam low salinity waterflooding heavy oil cyclodextrins SAGD nanoparticle fluids CO2 foam in-situ rheology surfactants Pickering emulsions enhanced oil recovery emulsions inclusion complexes petroleum Bacillus halodurans non-Newtonian flow in porous medium oil recovery Bacillus firmus oil film displacement surface and interfacial tension naphthenic acid Microbial Enhanced Oil Recovery recovery factor thermal recovery heavy oil and bitumen SAG colloid and interfacial science metal ion interactions porous media optical video microscopy microfluidics spore forming bacteria interfacial complexation electric double layer dynamic interfacial tension polymer flooding wettability polymers fluid-fluid interactions interfaces waterflooding oil sands EOR contact angles wettability alteration biotransformation monolayer asphaltene petroleum colloids surface charge heavy oil recovery |
| ISBN |
9783039211074
3039211072 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346843003321 |
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Taylor Spencer
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| Basel, Switzerland : , : MDPI, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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