Buy Medicine journals, books & electronic media online at Springer. Choose from a large range of academic titles. Que, por Decreto Legislativo Nº , se promulgó la Ley General de Minería y Artículo derogado por el Artículo 2 del Decreto Ley Nº , publicado el. , ), , , , , , Catalani (Alfredo): In Sogno. Cattedra (Oscar) Ley de guapos: , | Catterall (Thomas) I.
|Published (Last):||25 July 2014|
|PDF File Size:||19.23 Mb|
|ePub File Size:||4.33 Mb|
|Price:||Free* [*Free Regsitration Required]|
25674 paper proposes a soft sensor to estimate phase flow rates utilizing common measurements in oil and gas production wells. The developed system addresses the limited production monitoring due to using common metering facilities.
It offers a cost-effective solution to meet real-time monitoring demands, reduces operational and maintenance costs, and acts as a back-up to multiphase flow meters. The soft sensor is developed using feed-forward neural network, and generalization and network complexity are regulated using K-fold cross-validation and early stopping technique. The soft sensor is validated using actual well test data from producing wells, and model performance is analyzed using cumulative deviation and cumulative flow plots.
Issue 5 Issue 4 Issue 3 Issue 2 Issue 1. Xibilia, Soft sensors for monitoring and control of industrial processes: Tianhong, “An adaptive soft sensor based on multi-state partial least squares regression,” in Control Conference CCC34th Chinese,pp.
Elsevier Science,pp. Zhang, “Artificial Intelligence techniques applied as estimator in chemical process systems — A literature survey,” Expert Systems with Applications, vol. Leu Jan, and B. Kharrat, “Porosity and permeability prediction based on computational intelligences as artificial neural networks ANNs and adaptive neuro-fuzzy inference systems ANFIS in southern carbonate reservoir of Iran,” Petroleum Science and Technology, vol.
Zhang, “Neural network approach for predicting drum pressure and level in coal-fired subcritical power 2576 Fuel, vol. Yoo, “A robust localized soft sensor for particulate matter modeling in Seoul metro systems,” Journal of Hazardous Materials, vol.
ley enjuiciamiento civil 2000 pdf file
Walsh, “The use of artificial neural networks in the estimation of the perception of sound by the human auditory system,” International journal on smart sensing and intelligent systems, vol. Mendes, “Review of soft sensor methods for regression applications,” Chemometrics and Intelligent Laboratory Systems, vol.
Alimonti, Multiphase flow metering: Hjertaker, “Three-phase flow measurement in the petroleum industry,” Measurement Science and Technology, vol. Moghaddasi, “Comparison of correlations for predicting oil flow rate passing through chokes,” Energy Sources, Part A: Recovery, Utilization and Environmental Effects, vol.
White, “Multilayer feedforward networks are universal approximators,” Neural networks, vol.
Marcela- Symbaloo webmix
Haykin, Neural networks and learning machines vol. Pearson Education Upper Saddle River, pp. De Jess, and M. Hagan, Neural network design: Widrow, “Improving the learning speed of 2-layer let networks by choosing initial values of the adaptive weights,” in Neural Networks, Battiti, “First-and second-order methods for learning: Wilamowski, “Levenberg—marquardt training,” Industrial Electronics Handbook, vol.
Giles, “Overfitting in neural nets: Backpropagation, conjugate gradient, and early stopping,” in NIPS,pp.