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Détail de l'indexation
665.7
665 Huiles. Graisses. Cires. Adhésifs. Gommes. Résines
665.5 Huiles essentielles. Parfumerie. Cosmétiques
665.5/551 Huiles essentielles. Parfumerie. Cosmétiques
665.538
665.6 Technologie des huiles minérales. Technologie du pétrole et produits analogues
665.71
665.72 Gaz (y compris les gaz liquéfiés)
665.5 Huiles essentielles. Parfumerie. Cosmétiques
665.5/551 Huiles essentielles. Parfumerie. Cosmétiques
665.538
665.6 Technologie des huiles minérales. Technologie du pétrole et produits analogues
665.71
665.72 Gaz (y compris les gaz liquéfiés)
Ouvrages de la bibliothèque en indexation 665.7
Affiner la rechercheRapid estimation of equilibrium water dew point of natural gas in TEG dehydration systems / Alireza Bahadori in Journal of natural gas science and engineering, Vol. 1 N° 3 (Septembre 2009)
[article]
in Journal of natural gas science and engineering > Vol. 1 N° 3 (Septembre 2009) . - pp. 68-71
Titre : Rapid estimation of equilibrium water dew point of natural gas in TEG dehydration systems Type de document : texte imprimé Auteurs : Alireza Bahadori, Auteur ; Hari B. Vuthaluru, Auteur Article en page(s) : pp. 68-71 Note générale : Génie Chimique Langues : Anglais (eng) Mots-clés : Correlation Natural gas Dew point Triethylene glycol Gas dehydration Index. décimale : 665.7 Résumé : Evaluation of a triethylene glycol (TEG) system involves first establishing the minimum triethylene glycol (TEG) concentration required to meet the outlet gas water dew point specification.
In the present work, simple-to-use correlation, which is simpler than currently available models involving a large number of parameters, requiring more complicated and longer computations, has been developed for the rapid estimation of the water dew point of a natural gas stream in equilibrium with a TEG solution at various temperatures and TEG concentrations.
This correlation can be used to estimate the required TEG concentration for a particular application or the theoretical dew point depression for a given TEG concentration and contactor temperature.
Actual outlet dewpoints depend on the TEG circulation rate and number of equilibrium stages, but typical approaches to equilibrium are 6–11 °C.
Equilibrium dewpoints are relatively insensitive to pressure and this correlation may be used up to 10 300 kPa (abs) with little error.
The proposed correlation covers VLE data for TEG–water system for contactor temperatures between 10 °C and 80 °C and TEG concentrations ranging from 90.00 to 99.999 wt%.
The average absolute deviation percent from the data reported in the literature is 0.5% which shows the excellent performance of proposed correlation.
This simple-to-use correlation can be of immense practical value for the gas engineers to have a quick check on equilibrium water dew point of natural gas at various temperatures and TEG weight percents.
In particular, personnel dealing with natural gas dehydration and processing would find the proposed approach to be user friendly involving no complex expressions with transparent calculations.DEWEY : 665.7 ISSN : 1875-5100 En ligne : http://www.sciencedirect.com/science?_ob=PublicationURL&_tockey=%23TOC%2356453%2 [...] [article] Rapid estimation of equilibrium water dew point of natural gas in TEG dehydration systems [texte imprimé] / Alireza Bahadori, Auteur ; Hari B. Vuthaluru, Auteur . - pp. 68-71.
Génie Chimique
Langues : Anglais (eng)
in Journal of natural gas science and engineering > Vol. 1 N° 3 (Septembre 2009) . - pp. 68-71
Mots-clés : Correlation Natural gas Dew point Triethylene glycol Gas dehydration Index. décimale : 665.7 Résumé : Evaluation of a triethylene glycol (TEG) system involves first establishing the minimum triethylene glycol (TEG) concentration required to meet the outlet gas water dew point specification.
In the present work, simple-to-use correlation, which is simpler than currently available models involving a large number of parameters, requiring more complicated and longer computations, has been developed for the rapid estimation of the water dew point of a natural gas stream in equilibrium with a TEG solution at various temperatures and TEG concentrations.
This correlation can be used to estimate the required TEG concentration for a particular application or the theoretical dew point depression for a given TEG concentration and contactor temperature.
Actual outlet dewpoints depend on the TEG circulation rate and number of equilibrium stages, but typical approaches to equilibrium are 6–11 °C.
Equilibrium dewpoints are relatively insensitive to pressure and this correlation may be used up to 10 300 kPa (abs) with little error.
The proposed correlation covers VLE data for TEG–water system for contactor temperatures between 10 °C and 80 °C and TEG concentrations ranging from 90.00 to 99.999 wt%.
The average absolute deviation percent from the data reported in the literature is 0.5% which shows the excellent performance of proposed correlation.
This simple-to-use correlation can be of immense practical value for the gas engineers to have a quick check on equilibrium water dew point of natural gas at various temperatures and TEG weight percents.
In particular, personnel dealing with natural gas dehydration and processing would find the proposed approach to be user friendly involving no complex expressions with transparent calculations.DEWEY : 665.7 ISSN : 1875-5100 En ligne : http://www.sciencedirect.com/science?_ob=PublicationURL&_tockey=%23TOC%2356453%2 [...] The impact of carbon geological sequestration / Xina Xie in Journal of natural gas science and engineering, Vol. 1 N° 3 (Septembre 2009)
[article]
in Journal of natural gas science and engineering > Vol. 1 N° 3 (Septembre 2009) . - pp. 103-111
Titre : The impact of carbon geological sequestration Type de document : texte imprimé Auteurs : Xina Xie, Auteur ; Economides, Michael J., Auteur Article en page(s) : pp. 103-111 Note générale : Génie Chimique Langues : Anglais (eng) Mots-clés : Geological carbon sequestration CO2 emission Global temperature change Injectivity Kyoto Protocol scale CO2 classification Index. décimale : 665.7 Résumé : Although CO2 geological sequestration is the most popular carbon storage method promoted and pilot tested, the economic feasibility and technical risks for commercial scale sequestration projects are rarely mentioned.
More significant is that, apart from rhetorical pronouncements, the would-be impact of the operation on climate change is not discussed.
This work studies the technical risks, regulatory issues, and economic burden of CO2 geological sequestration on the U.S. by using the Kyoto Protocol emission requirement as the base line.
The potential effect of burying all the extra CO2 regulated by Kyoto Protocol on global temperature change is also evaluated.
The lack of regulatory framework has been blamed as one of the obstacles for slowing or stopping CO2 geological sequestration practice.
However, any regulatory issues are intertwined and dominated by the physics of the injection process itself and its economic viability.
This study analyzes the uncertainty and/or risks caused by CO2 geological sequestration in oil and gas reservoirs, saline aquifers, and coalbeds.
The work shows that the potential technical and legal risks and financial costs for sequestering CO2 underground make it impossible to promulgate any regulatory framework without causing detrimental effects on economic development and energy utilization.
It is estimated that CO2 sequestration in U.S. will cost over $1 trillion annually for CO2 geological sequestration by complying with the Kyoto Protocol.
Even if the global temperature increase of 0.7°C over the past 100 years is solely caused by anthropogenic CO2 emission, the change on the global temperature by sequestering all the CO2 emitted exceeding the 95% of 1990 level will be negligible.
The dynamic climate and weather patterns on Earth will make it impossible to be verified.
While CO2 sequestration will have little impact on the climate change, the impact on the global economy will be massive and damaging.
This work gives a realistic situation on the potential impacts of commercial scale CO2 sequestration projects on economics, environment, and the global climate change.
The findings of this study can be used to evaluate the risks of the CO2 geological sequestration projects.DEWEY : 665.7 ISSN : 1875-5100 En ligne : http://www.sciencedirect.com/science?_ob=PublicationURL&_tockey=%23TOC%2356453%2 [...] [article] The impact of carbon geological sequestration [texte imprimé] / Xina Xie, Auteur ; Economides, Michael J., Auteur . - pp. 103-111.
Génie Chimique
Langues : Anglais (eng)
in Journal of natural gas science and engineering > Vol. 1 N° 3 (Septembre 2009) . - pp. 103-111
Mots-clés : Geological carbon sequestration CO2 emission Global temperature change Injectivity Kyoto Protocol scale CO2 classification Index. décimale : 665.7 Résumé : Although CO2 geological sequestration is the most popular carbon storage method promoted and pilot tested, the economic feasibility and technical risks for commercial scale sequestration projects are rarely mentioned.
More significant is that, apart from rhetorical pronouncements, the would-be impact of the operation on climate change is not discussed.
This work studies the technical risks, regulatory issues, and economic burden of CO2 geological sequestration on the U.S. by using the Kyoto Protocol emission requirement as the base line.
The potential effect of burying all the extra CO2 regulated by Kyoto Protocol on global temperature change is also evaluated.
The lack of regulatory framework has been blamed as one of the obstacles for slowing or stopping CO2 geological sequestration practice.
However, any regulatory issues are intertwined and dominated by the physics of the injection process itself and its economic viability.
This study analyzes the uncertainty and/or risks caused by CO2 geological sequestration in oil and gas reservoirs, saline aquifers, and coalbeds.
The work shows that the potential technical and legal risks and financial costs for sequestering CO2 underground make it impossible to promulgate any regulatory framework without causing detrimental effects on economic development and energy utilization.
It is estimated that CO2 sequestration in U.S. will cost over $1 trillion annually for CO2 geological sequestration by complying with the Kyoto Protocol.
Even if the global temperature increase of 0.7°C over the past 100 years is solely caused by anthropogenic CO2 emission, the change on the global temperature by sequestering all the CO2 emitted exceeding the 95% of 1990 level will be negligible.
The dynamic climate and weather patterns on Earth will make it impossible to be verified.
While CO2 sequestration will have little impact on the climate change, the impact on the global economy will be massive and damaging.
This work gives a realistic situation on the potential impacts of commercial scale CO2 sequestration projects on economics, environment, and the global climate change.
The findings of this study can be used to evaluate the risks of the CO2 geological sequestration projects.DEWEY : 665.7 ISSN : 1875-5100 En ligne : http://www.sciencedirect.com/science?_ob=PublicationURL&_tockey=%23TOC%2356453%2 [...] Upstream oil and gas facility energy efficiency tools / D.G. Colley in Journal of natural gas science and engineering, Vol. 1 N° 3 (Septembre 2009)
[article]
in Journal of natural gas science and engineering > Vol. 1 N° 3 (Septembre 2009) . - pp. 59-67
Titre : Upstream oil and gas facility energy efficiency tools Type de document : texte imprimé Auteurs : D.G. Colley, Auteur ; B.R. Young, Auteur ; W.Y. Svrcek, Auteur Article en page(s) : pp. 59-67 Note générale : Génie Chimique Langues : Anglais (eng) Mots-clés : Oil and gas Production and processing energy efficiency Production energy intensity Auditing, benchmarking, and process simulation Index. décimale : 665.7 Résumé : Optimizing the energy consumption of Upstream Oil & Gas (UOG) facilities offers opportunities to reduce operating costs, increase revenues and address greenhouse gas emissions, all with cost-effective actions.
All of these objectives have been achieved through the application of performance benchmarking, auditing and simulation tools to oil and gas production facilities in the Western Canadian Sedimentary Basin.
Combining the experience of applying these tools and the database that has been developed, an energy intensity correlation has been developed.
The energy intensity correlation provides insight into the day-to-day management and operation of facilities with a focus on energy management as the key to a continuous improvement program.
The energy intensity correlation demonstrates that only a few key production variables control processing energy intensity and that energy optimization programs must focus on those plant components that affect production and key production variables.DEWEY : 665.7 ISSN : 1875-5100 En ligne : http://www.sciencedirect.com/science?_ob=PublicationURL&_tockey=%23TOC%2356453%2 [...] [article] Upstream oil and gas facility energy efficiency tools [texte imprimé] / D.G. Colley, Auteur ; B.R. Young, Auteur ; W.Y. Svrcek, Auteur . - pp. 59-67.
Génie Chimique
Langues : Anglais (eng)
in Journal of natural gas science and engineering > Vol. 1 N° 3 (Septembre 2009) . - pp. 59-67
Mots-clés : Oil and gas Production and processing energy efficiency Production energy intensity Auditing, benchmarking, and process simulation Index. décimale : 665.7 Résumé : Optimizing the energy consumption of Upstream Oil & Gas (UOG) facilities offers opportunities to reduce operating costs, increase revenues and address greenhouse gas emissions, all with cost-effective actions.
All of these objectives have been achieved through the application of performance benchmarking, auditing and simulation tools to oil and gas production facilities in the Western Canadian Sedimentary Basin.
Combining the experience of applying these tools and the database that has been developed, an energy intensity correlation has been developed.
The energy intensity correlation provides insight into the day-to-day management and operation of facilities with a focus on energy management as the key to a continuous improvement program.
The energy intensity correlation demonstrates that only a few key production variables control processing energy intensity and that energy optimization programs must focus on those plant components that affect production and key production variables.DEWEY : 665.7 ISSN : 1875-5100 En ligne : http://www.sciencedirect.com/science?_ob=PublicationURL&_tockey=%23TOC%2356453%2 [...] Using artificial neural networks to generate synthetic well logs / Luisa Rolon in Journal of natural gas science and engineering, Vol. 1 N° 4-5 (Novembre 2009)
[article]
in Journal of natural gas science and engineering > Vol. 1 N° 4-5 (Novembre 2009) . - pp. 118-133
Titre : Using artificial neural networks to generate synthetic well logs Type de document : texte imprimé Auteurs : Luisa Rolon, Auteur ; Shahab D. Mohaghegh, Auteur ; Sam Ameri, Auteur Article en page(s) : pp. 118-133 Note générale : Génie Chimique Langues : Anglais (eng) Mots-clés : Synthetic logs Neural networks Reservoir characterization Well logs Artificial intelligence Petrophysics Index. décimale : 665.7 Résumé : A methodology to generate synthetic wireline logs is presented.
Synthetic logs can help to analyze the reservoir properties in areas where the set of logs that are necessary, are absent or incomplete.
The approach presented involves the use of artificial neural networks as the main tool, in conjunction with data obtained from conventional wireline logs.
Implementation of this approach aims to reduce costs to companies.
Development of the neural network model was completed using Generalized Regression Neural Network, and wireline logs from four wells that included gamma ray, density, neutron, and resistivity logs.
Synthetic logs were generated through two different exercises.
Exercise one involved all four wells for training, calibration and verification process.
The second exercise used three wells for training and calibration and the fourth well was used for verification.
In order to demonstrate the robustness of the methodology, three different combinations of inputs/outputs were chosen to train the network.
In combination “A” the resistivity log was the output and density, gamma ray, and neutron logs, and the coordinates and depths (XYZ) the inputs.
In combination “B” the density log was output and the resistivity, the gamma ray, and the neutron logs, and XYZ were the inputs, and in combination “C” the neutron log was the output while the resistivity, the gamma ray, and the density logs, and XYZ were the inputs.
After development of the neural network model, synthetic logs with a reasonable degree of accuracy were generated.
Results indicate that the best performance was obtained for combination “A” of inputs and outputs, then for combination “C”, and finally for combination “B”.
In addition, it was determined that accuracy of synthetic logs is favored by interpolation of data.
It was also demonstrated that using neural network to generate synthetic well logs is far more superior when compared to conventional approaches such as multiple-regression.DEWEY : 665.7 ISSN : 1875-5100 En ligne : http://www.sciencedirect.com/science?_ob=PublicationURL&_tockey=%23TOC%2356453%2 [...] [article] Using artificial neural networks to generate synthetic well logs [texte imprimé] / Luisa Rolon, Auteur ; Shahab D. Mohaghegh, Auteur ; Sam Ameri, Auteur . - pp. 118-133.
Génie Chimique
Langues : Anglais (eng)
in Journal of natural gas science and engineering > Vol. 1 N° 4-5 (Novembre 2009) . - pp. 118-133
Mots-clés : Synthetic logs Neural networks Reservoir characterization Well logs Artificial intelligence Petrophysics Index. décimale : 665.7 Résumé : A methodology to generate synthetic wireline logs is presented.
Synthetic logs can help to analyze the reservoir properties in areas where the set of logs that are necessary, are absent or incomplete.
The approach presented involves the use of artificial neural networks as the main tool, in conjunction with data obtained from conventional wireline logs.
Implementation of this approach aims to reduce costs to companies.
Development of the neural network model was completed using Generalized Regression Neural Network, and wireline logs from four wells that included gamma ray, density, neutron, and resistivity logs.
Synthetic logs were generated through two different exercises.
Exercise one involved all four wells for training, calibration and verification process.
The second exercise used three wells for training and calibration and the fourth well was used for verification.
In order to demonstrate the robustness of the methodology, three different combinations of inputs/outputs were chosen to train the network.
In combination “A” the resistivity log was the output and density, gamma ray, and neutron logs, and the coordinates and depths (XYZ) the inputs.
In combination “B” the density log was output and the resistivity, the gamma ray, and the neutron logs, and XYZ were the inputs, and in combination “C” the neutron log was the output while the resistivity, the gamma ray, and the density logs, and XYZ were the inputs.
After development of the neural network model, synthetic logs with a reasonable degree of accuracy were generated.
Results indicate that the best performance was obtained for combination “A” of inputs and outputs, then for combination “C”, and finally for combination “B”.
In addition, it was determined that accuracy of synthetic logs is favored by interpolation of data.
It was also demonstrated that using neural network to generate synthetic well logs is far more superior when compared to conventional approaches such as multiple-regression.DEWEY : 665.7 ISSN : 1875-5100 En ligne : http://www.sciencedirect.com/science?_ob=PublicationURL&_tockey=%23TOC%2356453%2 [...]