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Enregistrement W4245145083 · doi:10.2523/100906-ms

Evolvement of Completion Methods in a High Pressure Fractured CarbonateReservoir: A Case Study

2006· article· en· W4245145083 sur OpenAlexaff
Peng Chen, Xi Wang, Xugang Wang, junhe xin, Yuxiang Wei, Aijun Zhu

Notice bibliographique

Revuenon disponible
Typearticle
Langueen
DomaineEngineering
ThématiqueHydraulic Fracturing and Reservoir Analysis
Établissements canadiensPetro-Canada
Organismes subventionnairesChinese Academy of SciencesUtah Agricultural Experiment Station
Mots-clésExhibitionCitationDownloadComputer scienceLibrary scienceWorld Wide WebInformation retrievalDatabaseArchaeologyHistory

Résumé

récupéré en direct d'OpenAlex

Evolvement of Completion Methods in a High Pressure Fractured Carbonate Reservoir: A Case Study Peng Chen; Peng Chen PetroChina Co. Ltd. Search for other works by this author on: This Site Google Scholar Xi Wang; Xi Wang PetroChina Search for other works by this author on: This Site Google Scholar Xugang Wang; Xugang Wang PetroChina Co. Ltd. Search for other works by this author on: This Site Google Scholar Junhe xin; Junhe xin Search for other works by this author on: This Site Google Scholar Yuxiang Wei; Yuxiang Wei PetroChina Search for other works by this author on: This Site Google Scholar Aijun Zhu; Aijun Zhu Search for other works by this author on: This Site Google Scholar Yanfeng Wang Yanfeng Wang Search for other works by this author on: This Site Google Scholar Paper presented at the SPE Asia Pacific Oil & Gas Conference and Exhibition, Adelaide, Australia, September 2006. Paper Number: SPE-100906-MS https://doi.org/10.2118/100906-MS Published: September 11 2006 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Chen, Peng, Wang, Xi, Wang, Xugang, xin, Junhe, Wei, Yuxiang, Zhu, Aijun, and Yanfeng Wang. "Evolvement of Completion Methods in a High Pressure Fractured Carbonate Reservoir: A Case Study." Paper presented at the SPE Asia Pacific Oil & Gas Conference and Exhibition, Adelaide, Australia, September 2006. doi: https://doi.org/10.2118/100906-MS Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll ProceedingsSociety of Petroleum Engineers (SPE)SPE Asia Pacific Oil and Gas Conference and Exhibition Search Advanced Search AbstractThe wells in the Kenkiak Under-Saltdome (KUS) oilfield in Kazakhstan are difficult to drill and complete due to the complicated geological conditions. Historically, among 42 wells which had been drilled in this area 40 wells were abandoned; only 2 wells are in production. The wells were completed by casing perforation, with low averaged daily rate of production 64 tons per well. After 1997, initially, wells were continuously completed by casing perforation, with averaged daily rate of production around 100 tons per well.In order to enhance the productive rate of wells, two major measures have been taken. On the one hand, search high productive zones; on the other hand, alter the well completion method to meet the new requirement. Openhole completion was introduced for vertical wells in the beginning in the carbonate reservoir and the first trial met with success, daily rate of production was as high as up to 480 tons. Afterwards, the openhole completion method was used for other vertical and high-angle wells, averaged daily rate of production of 6 openhole completed wells are over 300 tons per well.However, with the extension of exploration and development, another four wells completed by open hole were located along the cracked zones. When the wells were put into production, both inner and outer tubing were blocked, which resulted in 4 wells off production.To prevent the wells from tubing blocked during putting into production, as well as to keep the high productivity of the wells, later wells that are not suitable for openhole completion have been completed by punched or slotted liners. The averaged daily rate of production of 8 wells completed by punched or slotted liners are also over 300 tons per well.IntroductionIn general, methods of completion in a carbonate reservoir can be classified into three categories:1,2,3Perforated completions, including casing perforations and liner perforations.Openhole completions.Slotted liner completions.In the Middle East (Saudi Arabia and UAE), liner perforations were used in the deep Permian carbonate Khuff formation where containing H2S and CO2 in downhole fluids.4 In Nevada, both casing and openhole completions were very effective to typical fracture developed porous dolomite and carbonates.5 In Thailand, openhole completion was used leading to a major gas discovery.6In west Texas, a case study revealed that operators often had found many of the wells had severely underperformed as openhole completions. Changing from liner/openhole completions to cemented liner completions was the major change necessary to accomplish a positive step-change in better economic return.7Historically, perforated completions were used in the KUS field with low production. Openhole completionswereafterward employed to increase the productivity. As a result, the yield of oil wells obtained greatly increased. Unfortunately, a few wells with openhole completion incurred both inside and outside tubings blocked when put into production. Liner completions have been put to use for dealing with the problem and gained effective results. Keywords: complex reservoir, Upstream Oil & Gas, Completion Installation and Operations, completion, high pressure fractured carbonate reservoir, high-angle well, pressure difference, carbonate reservoir, perforated completion, productivity Subjects: Unconventional and Complex Reservoirs, Perforating, Carbonate reservoirs, Completion Installation and Operations, Completion Operations This content is only available via PDF. 2006. 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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,014
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Étude de cas · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,018
Score d'incertitude au seuil0,037

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,014
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0020,002
Communication savante0,0010,002
Science ouverte0,0020,002
Intégrité de la recherche0,0020,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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 Opus0,012
Tête enseignante GPT0,284
Écart entre enseignants0,272 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeÉtude de cas
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

Citations0
Publié2006
Routes d'admission1
Résumé présentoui

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