MétaCan
Menu
Retour à la cohorte
Enregistrement W4407609275 · doi:10.46690/compes.2024.03.03

Rate transient analysis of multiple wells system producing at constant bottomhole pressures

2024· article· en· W4407609275 sur OpenAlexaboutno aff
Yusheng Zhai, Jing Lu, Erlong Yang

Notice bibliographique

RevueComputational energy science. · 2024
Typearticle
Langueen
DomaineEngineering
ThématiqueHydraulic Fracturing and Reservoir Analysis
Établissements canadiensnon disponible
Organismes subventionnairesNational Natural Science Foundation of China
Mots-clésTransient (computer programming)Constant (computer programming)Transient analysisPetroleum engineeringMechanicsMaterials scienceEnvironmental scienceGeologyTransient responseComputer scienceEngineeringPhysicsElectrical engineering

Résumé

récupéré en direct d'OpenAlex

This paper presents rate transient analysis of multiple wells system producing at constant bottomhole pressures during boundary-dominated flow period in a closed rectangular reservoir. The proposed algorithm is based on an analytical model with numerical approximation, and production decline is predicted through a series of mathematical methods such as the Laplace transform, the Dirac Delta function, convolution, the Green’s function and the superposition principle. The proposed model is validated by the Computer Modeling Group (CMG) simulation, the results show that the proposed model is accurate enough to predict the production performance of multi-well system producing under constant bottomhole pressures during boundary-dominated flow period in a closed rectangular reservoir. We conclude that at a given time, the flow rate of a well decreases as the total number of wells increases and the bottomhole pressures of adjacent wells decrease, while the total reservoir production increases as the bottomhole pressures of reservoir wells decreases. And at a given time, the greater distance between the observation well and adjacent wells, the larger the flow rate and cumulative production the observation well. In terms of the decline rate of the flow rate, it depends on the number of wells, the bottomhole pressures of adjacent wells, and the size of reservoir. The conventional models presented in the literature are mostly empirical or semi-analytical, which are not grounded in fundamental theory. Our proposed model has a solid theoretical basis, it provides a computationally efficient, accurate and convenient method for predicting transient flow rates of multiple wells producing at constant bottomhole pressures in a closed rectangular reservoir. Document Type: Original article Cited as: Lu, J., Zhai, Y., Yang, E. Rate transient analysis of multiple wells system producing at constant bottomhole pressures. Computational Energy Science, 2024, 1(3): 150-163. https://doi.org/10.46690/compes.2024.03.03 References Agarwal, R. G., Gardner, D. C., Kleinsteiber, S. W., et al. Analyzing well production data using combined type curve and decline curve analysis concepts. Paper SPE 49222 Presented at SPE Annual Technical Conference and Exhibition, New Orleans, Louisiana, 27–30 September, 1998. Agbi, B., Ng, M. C. A numerical solution to two-parameter representation of production decline curve analysis. Paper SPE 16505 Presented at Petroleum Industry Application of Microcomputers, Lake Conroe, Texas, 23–26 June, 1987. Anderson, D. M., Thompson, J. M., Behmanesh, H. Diagnosing the health of your well with rate transient analysis. Paper SPE 2902908 Presented at SPE/AAPG/SEG Unconventional Resources Technology Conference, Houston, Texas, USA, 23–25 July, 2018. Arps, J. J. Analysis of decline curves. Transactions of the American Institute of Mechanical Engineers, 1945, 160(1): 228-247. Blasingame, T. A., Lee, W. J. Variable-rate reservoir limits testing. Paper SPE 15028 Presented at Permian Basin Oil and Gas Recovery Conference, Midland, Texas, USA, 13-14 March, 1986. Blasingame, T. A., Johnston, J. L., Lee, W. J. Type curve analysis using the pressure integral method. Paper SPE 18799 Presented at California Regional Meeting, Bakersfield, California, 5-7 April, 1989. Camacho, R., Raghavan, R. Boundary-dominated flow in solution gas-drive reservoirs. Paper SPE 19009 Presented at Low Permeability Reservoirs Symposium, Denver, Colorado, 6–8 March, 1989. Cole, K., Beck, J., Haji-Sheikh, A., et al. Heat conduction using Greens functions. New York City, USA, CRC Press Taylor and Francis Group, 2010. Duong, A. N. An unconventional rate decline approach for tight and fracture-dominated gas wells. Paper SPE 137748 Presented at Canadian Unconventional Resources and International Petroleum Conference, Calgary, Alberta, Canada, 19–21 October, 2010. Ehlig-Economides, C. A., Ramey, H. J., Transient rate decline analysis for wells produced at constant pressure. Society of Petroleum Engineers Journal, 21(1): 98-104. Ezabadi, M. G., Ataei, A., Liang, T. K., et al. Production data analysis for reservoir characterization in conventional gas fields: A new workflow and case study. Paper SPE 186270 Presented at SPE/IATMI Asia Pacific Oil and Gas Conference and Exhibition, Jakarta, Indonesia, 17-19 October, 2017. Fetkovich, M. J. Decline curve analysis using type curves Paper SPE 4629 Presented at Fall Meeting of the Society of Petroleum Engineers of AIME, Las Vegas, Nevada, September 30-October 3, 1973. Hassanzadeh, H., Pooladi-Darvish, M. Comparison of different numerical Laplace inversion methods for engineering applications. Applied Mathematics and Computation, 2007, 189(2): 1966-1981. Hu, C., Lu, J., He, X. Productivity formulae of an infinite‐conductivity hydraulically fractured well producing at constant wellbore pressure based on numerical solutions of a weakly singular integral equation of the first kind. Mathematical Problems in Engineering, 2012, 2012(1): 428596. Hurst, W. Unsteady flow of fluids in oil reservoirs. Journal of Applied Physics, 1934, 5(1): 20-30. Jha, H. S., Khanal, A., Lee, W. J. Effect of errors in initial pressure measurement on rate-transient analysis in unconventional reservoirs. Paper SPE 208321 Presented at Asia Pacific Unconventional Resources Technology Conference, 16-18 November, 2021. Lee, J., Rollins, J. B., Spivey, J. P. Pressure transient testing. Texas, USA, Society of Petroleum Engineers, 2003. Lu, J., Owayed, J. F., Xu, J., et al. An analytical model on production performance of multiple wells producing at constant bottomhole pressures. Special Topics and Reviews in Porous Media: An International Journal, 2019, 10(1): 31-48. Lu, J., Shi, S. S., Rahman, M. M. New mathematical models for production performance of a well producing at constant bottomhole pressure. Special Topics and Reviews in Porous Media: An International Journal, 2018, 9(3): 261-278. Lu, J., Ghedan, S., Tiab, D. Productivity equations for a multiple-well system in circular and rectangular reservoirs. Special Topics and Reviews in Porous Media: An International Journal, 2012, 3(4): 297-306. Moore, T. V., Schilthuis, R. J., Hurst, W. The determination of permeability from field data. American Petroleum Institute Bulletin, 1933, 211(4). Marhaendrajana, T., Blasingame, T. A. Decline curve analysis using type curves-evaluation of well performance behavior in a multiwell reservoir system. Paper SPE 71517 Presented at Annual Technical Conference and Exhibition, New Orleans, Louisiana, September 30-October 3, 2001. Myint-U, T., Debnath, L. Green’s functions and boundary-value problems. Linear Partial Differential Equations for Scientists and Engineers, 2007, 407-437. } Palacio, J. C., Blasingame, T. A. Decline-curve analysis using type curves-analysis of gas well production data. Paper SPE 25909 Presented at Rocky Mountain Regional Meeting, Denver, Colorado, USA, 12-14 April, 1993. Stehfest, H. Algorithm 368: Numerical inversion of Laplace transforms. Communications of the ACM, 1970, 13(1): 47-49. Tuma, J. J. Engineering mathematics handbook. Technometrics, 1971, 13(3). Umnuayponwiwat, S., Ozkan, E., Raghavan, R. Pressure transient behavior and inflow performance of multiple wells in closed systems. Paper SPE 62988 Presented at Annual Technical Conference and Exhibition, Dallas, Texas, 1-4 October, 2000. Valko, P. P., Doublet, L. E., Blasingame, T. A. Development and application of the Multiwell Productivity Index (MPI). SPE Journal, 2000, 5(1): 21-31. Yang, Z. Analysis of production decline in waterflood reservoirs. Paper SPE 124613 Presented at Annual Technical Conference and Exhibition, New Orleans, Louisiana, 4-7 October, 2009. Zakian, V. Numerical inversion of Laplace transform. Electronics Letters, 1969, 5(6): 120-121. Zwillinger, D. CRC standard mathematical tables and formulae. CRC Press Taylor and Francis Group, New York City, USA, 1996.

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: Simulation ou modélisation · Signal consensuel: Simulation ou modélisation
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,249
Score d'incertitude au seuil0,413

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,002
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 Opus0,007
Tête enseignante GPT0,213
Écart entre enseignants0,206 · 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'étudeSimulation ou modélisation
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
Publié2024
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueComputational energy science.Même sujetHydraulic Fracturing and Reservoir AnalysisTravaux en français237 207