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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 online resource (324 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
accidents
artificial intelligence ball mill throughput Bayesian network Bayesian Network Structure Learning (BNSL) bitumen extraction bitumen processability blast impact bluetooth beacon classification and regression tree coal convolutional neural networks damage risk analysis data analytics in mining decision trees digital twin dimensionality reduction discrete event simulation empirical model epithermal gold fragmentation fragmentation size analysis gaussian naïve bayes geological uncertainty geostatistics grinding circuits health and safety management hyperspectral imaging image analysis k-nearest neighbors knowledge discovery macerals machine learning masonry buildings measurement while drilling mine optimization mine safety and health mine worker fatigue mine-to-mill mineral prospectivity mapping minerals processing mining mining equipment uncertainties mining exploitation mining geology modes of operation multispectral imaging multivariate statistics n/a Naive Bayes narratives natural language processing neighbourhood component analysis non-additivity oil sands operational data ore control orebody uncertainty partial least squares regression petrographic analysis point cloud scaling Q-learning random forest random forest algorithm random forest classification random forest model rock type semantic segmentation stockpiles structure from motion support vector machine tactical geometallurgy transport route transport time truck dispatching underground mine unstructured data variable importance |
| 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 | MDPI - Multidisciplinary Digital Publishing Institute, 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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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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