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Enregistrement W4232540886 · doi:10.2523/93779-ms

The Role of Unconventional Natural Gases in the Next 30 Years in Asia

2005· article· en· W4232540886 sur OpenAlexaboutno aff
Daijiro Terasaki, Kazuo Fujita

Notice bibliographique

RevueProceedings of SPE Asia Pacific Oil and Gas Conference and Exhibition · 2005
Typearticle
Langueen
DomaineEngineering
ThématiqueReservoir Engineering and Simulation Methods
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésExhibitionCitationNatural gasLibrary scienceFujita scaleComputer scienceEngineeringOperations researchGeographyArchaeologyMeteorologyWaste management

Résumé

récupéré en direct d'OpenAlex

The Role of Unconventional Natural Gases in the Next 30 Years in Asia Daijiro Terasaki; Daijiro Terasaki Tokyo Gas Co., Ltd. Search for other works by this author on: This Site Google Scholar Kazuo Fujita Kazuo Fujita Sibaura Institute of Technology Search for other works by this author on: This Site Google Scholar Paper presented at the SPE Asia Pacific Oil and Gas Conference and Exhibition, Jakarta, Indonesia, April 2005. Paper Number: SPE-93779-MS https://doi.org/10.2118/93779-MS Published: April 05 2005 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Terasaki, Daijiro, and Kazuo Fujita. "The Role of Unconventional Natural Gases in the Next 30 Years in Asia." Paper presented at the SPE Asia Pacific Oil and Gas Conference and Exhibition, Jakarta, Indonesia, April 2005. doi: https://doi.org/10.2118/93779-MS Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Search Dropdown Menu nav search search input Search input auto suggest search filter All ContentAll ProceedingsSociety of Petroleum Engineers (SPE)SPE Asia Pacific Oil and Gas Conference and Exhibition Search Advanced Search AbstractGenetic algorithm method was utilized to study on the optimum supply rates of various types of natural gases for the importing countries such as China, India and Japan. Genetic algorithm procedure was able to compute annual time series of economically optimum supply rates combination consisting individual natural gases so that net present value of total supply costs could be minimized to result in economic optimization.First of all, several computations for USA case history data matching were carried out to establish appropriate parameters of genetic algorithm, because USA has long term historical data provided by DOE/EIA and USGS about natural gas production activities and has the infrastructures of gas pipelines fully furnished.Next, computations for the whole region of Asia, Oceania and the Middle East based on the forecast of total demand by OECD/IEA were carried out, and then individual computation for China, India and Japan was carried out in the same way. It was concluded that unbalance between the demand and the supply of natural gases would occur in Asia, and unconventional natural gases especially coal-bed methane would play an important role both to satisfy stable natural gas demand, and to keep national security on energy in the next 30 years in Asia, especially China and India countries.1. IntroductionNatural gases are now thought to be important energy resources in the 21st century because they are widely distributed in the world and the amount of carbon dioxide discharge from their burning is the least among the fossil fuels. As for the world demand of natural gas, the average growth rate of 2.4% is predicted up to 2030, namely it increases from 2,527 bcm in 2000 to 5,047 bcm in 2030 [19]. It is considered that the demand of natural gas in Asian region, especially China, and Latin America region will grow rapidly. In 2000, the commercial production of natural gas was 2390 bcm (about 84.4 tcf) in which the international gas trade was 526.2 bcm, which was equivalent to only 22% of the world. The pipeline gas trade is 389 bcm, which was equivalent to 76% of the international trade, and the remaining is LNG trade, which amounts to 137 bcm. It is difficult to transport natural gas over the long distance, so that gas trades are often carried out in the specific region thus gas trades with the outside of the region is limited only less than 10%. Because international long distance pipelines are not yet constructed in Asia, Oceania and the Middle East regions, LNG transport occupies 95.9% of the natural gas trade, which is rather expensive. Therefore the most important subject in natural gas trade in this region is to reduce the transport cost.In future, even if it is realized that the long distance main pipelines are constructed to the big consumption areas such as China and India in order to transport natural gases of the Central Asia and the East Siberia regions, it is presumed that the reduction of transport cost becomes important subject. In these regions, if the production cost of unconventional natural gases would decrease according to the technological innovation, they could compete with the imported LNG because transport costs of them through pipelines may be much lower than the imported LNG. In the region where the demand of natural gas can't be fulfilled with the conventional gas, it may be happened to produce unconventional gases commercially. Under such circumstances, the purpose of our study is to predict the optimum allocation of supply rates for individual natural gases in Asia region so that the total cost of production and transportation is minimized.Referring to the actual results and the future production forecast of the natural gases in North America region including USA and Canada, the beginning of commercial production and the successive quantitative change of unconventional natural gases in Asian region are studied. They change diachronically by the factor such as the market price, the production cost, the transport system and cost. It is presumed that the genetic algorithm is suitable for the non-liner optimization problems such as simulating behavior where many factors interrelate to the mutuality depending upon time steps. The genetic algorithm is compared with Quasi-Newton method, and more suitable one will be applied to predict the production allocation of natural gases. The purpose of our simulation is to find the optimum supply rate of each natural gas such as conventional gas, tight sand gas, coal-bed methane and shale gas. Keywords: unconventional natural gas, japan, artificial intelligence, machine learning, recoverable resource, oceania, gas monetization, asia, supply cost, middle east Subjects: Pipelines, Flowlines and Risers, Natural Gas Conversion and Storage, Unconventional and Complex Reservoirs, Information Management and Systems, Liquified natural gas (LNG) This content is only available via PDF. 2005. Society of Petroleum Engineers You can access this article if you purchase or spend a download.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Autre devis · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,854
Score d'incertitude au seuil0,218

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,015
Tête enseignante GPT0,233
Écart entre enseignants0,218 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeAutre devis
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2005
Routes d'admission1
Résumé présentoui

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Même revueProceedings of SPE Asia Pacific Oil and Gas Conference and ExhibitionMême sujetReservoir Engineering and Simulation MethodsTravaux en français237 207