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Enregistrement W4253829956 · doi:10.2523/65484-ms

Material-Balance Method for Production Rejuvenation With Horizontal Wells

2000· article· en· W4253829956 sur OpenAlexaffabout
F. Hsieh, Philip Kandel, Vega Cecilia

Notice bibliographique

Revuenon disponible
Typearticle
Langueen
DomaineEngineering
ThématiqueHydraulic Fracturing and Reservoir Analysis
Établissements canadiensUniversity of Calgary
Organismes subventionnairesVedecká Grantová Agentúra MŠVVaŠ SR a SAV
Mots-clésCitationBalance (ability)Computer scienceProduction (economics)Operations researchLibrary scienceEngineering

Résumé

récupéré en direct d'OpenAlex

Material-Balance Method for Production Rejuvenation With Horizontal Wells Frank S. Hsieh; Frank S. Hsieh Sproule Associates Limited Search for other works by this author on: This Site Google Scholar Philip S. Kandel; Philip S. Kandel Sproule Associates Limited Search for other works by this author on: This Site Google Scholar Cecilia Vega Cecilia Vega University of Calgary Search for other works by this author on: This Site Google Scholar Paper presented at the SPE/CIM International Conference on Horizontal Well Technology, Calgary, Alberta, Canada, November 2000. Paper Number: SPE-65484-MS https://doi.org/10.2118/65484-MS Published: November 06 2000 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Hsieh, Frank S., Kandel, Philip S., and Cecilia Vega. "Material-Balance Method for Production Rejuvenation With Horizontal Wells." Paper presented at the SPE/CIM International Conference on Horizontal Well Technology, Calgary, Alberta, Canada, November 2000. doi: https://doi.org/10.2118/65484-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/CIM International Conference on Horizontal Well Technology Search Advanced Search AbstractMaterial balance evaluation can be conducted at every stage of reservoir development, including production rejuvenation using horizontal wells. Material balance evaluation for a reservoir with water influx usually begins with the calculation of water influx quantities using aquifer models (the aquifer model approach). The calculated influx quantities are substituted into material balance equations that are arranged in straight-line formats. Should a linear slope be found, the original-hydrocarbons-in-place is the y-intercept. The key to a successful evaluation using the aquifer model approach lies in the selection of a representative aquifer model. Selecting a representative aquifer model is difficult due to reservoir uncertainties such as rock properties, and the size, geometry, and continuity of the aquifer. Also, influx calculations using the aquifer model approach are time-consuming because they usually require a trial and error method of solution.This paper presents a material balance equation in a form that allows for calculating water influx without the use of an aquifer model. This approach has many applications and is particularly useful for production rejuvenation projects, such as the drilling of horizontal wells.IntroductionMaterial balance evaluation is a method for evaluating the original-oil-in-place (OOIP) or the original-gas-in-place (OGIP) by analyzing the historical production and pressure data. It is commonly applied to validate the original-hydrocarbons-in-place (OOIP or OGIP) initially determined using the volumetric method. The principle of material balance can also be applied to substantiate reserves determined by decline curve analysis, as shown in this paper.Material balance evaluation is frequently complicated by water influx, often an unknown quantity, which makes it difficult to determine the net fluids production. Aquifer models are commonly used to calculate influx volumes when conducting material balance evaluations (aquifer model approach). Frequently, the lines in the material balance plot constructed using these influx volumes are of insufficient quality to determine the original-hydrocarbons-in-place with confidence. This occurs primarily because the aquifer models cannot adequately represent the actual aquifer behavior, and also because of the uncertainty in the input data. Consequently, linear regression is usually required to construct a straight line. However, it also further complicates the evaluation by resulting in a series of straight lines, one for each aquifer model selected.There are two unknowns in a material balance equation: the original-hydrocarbons-in-place and the water influx. As stated previously, when using the aquifer model approach, the influx volumes are calculated using aquifer models, and they are then used to solve for the remaining unknown, the original-hydrocarbons-in-place. This paper presents a material balance equation in a form that allows for calculating original-hydrocarbons-in-place directly (direct calculation approach) without the need for aquifer models. It eliminates the process of selecting a representative aquifer model and the time-consuming trial and error calculations associated with the aquifer model approach. Two examples are provided to illustrate the simplicity and the effectiveness of this approach.The principle of material balance has also been extended to cover rate-time decline analysis, which is a common method for determining the reserves.The direct calculation approach presented in this paper provides an effective method for determining an optimum reservoir development plan. When adequate production history is available, this method is applicable to production rejuvenation using horizontal wells. Keywords: upstream oil & gas, equation, decline analysis, reservoir simulation, production control, havlena, calculation approach, aquifer model approach, cecilia vega spe ps-cim 65484, production monitoring Subjects: Well & Reservoir Surveillance and Monitoring, Reservoir Simulation, Formation Evaluation & Management, Reserves Evaluation, Estimates of resource in place This content is only available via PDF. 2000. SPE/PS-CIM International Conference on Horizontal Well Technology 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)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,015
Score d'incertitude au seuil0,050

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,001
Études des sciences et des technologies0,0010,001
Communication savante0,0010,002
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0150,005

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 Opus0,004
Tête enseignante GPT0,217
Écart entre enseignants0,213 · 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'étudeExpérimental (laboratoire)
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

Citations2
Publié2000
Routes d'admission2
Résumé présentoui

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