2019
DOI: 10.1016/j.petrol.2019.106288
|View full text |Cite
|
Sign up to set email alerts
|

Probing the roots of Arps hyperbolic relation and assessing variable-drive mechanisms for improved DCA

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

0
3
0
1

Year Published

2019
2019
2024
2024

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 7 publications
(4 citation statements)
references
References 15 publications
0
3
0
1
Order By: Relevance
“…Empirical models are simple, but they also are mere curve fits, whose parameters have little physical meaning and cannot be generalized. In hyperbolic DCA, for example, the exponent b is adjusted to fit production data, notwithstanding several studies that have tried to elucidate its physical meaning [18][19][20]. Another limitation of most empirical models is their inability to capture the two regimes of oil and gas production in shales that are transient-linear flow at early times and boundary-dominated flow at later times on production [21].…”
Section: Introductionmentioning
confidence: 99%
“…Empirical models are simple, but they also are mere curve fits, whose parameters have little physical meaning and cannot be generalized. In hyperbolic DCA, for example, the exponent b is adjusted to fit production data, notwithstanding several studies that have tried to elucidate its physical meaning [18][19][20]. Another limitation of most empirical models is their inability to capture the two regimes of oil and gas production in shales that are transient-linear flow at early times and boundary-dominated flow at later times on production [21].…”
Section: Introductionmentioning
confidence: 99%
“…A pesar de ser antigua, esta metodología continúa siendo uno de los métodos de estimación más usados para el cálculo de reservas remanentes en yacimientos convencionales (Can y Kabir, 2014although grid-based models are also often used. This paper examines the performance of some commonly used tools, such as the water-oil ratio (WOR; Sharma et al, 2019). Una de las principales ventajas del método es que no requiere parámetros del yacimiento y resulta eficaz para diferentes tipos de campos convencionales, por lo que se considera la herramienta de predicción del rendimiento de producción más sencilla, rápida y menos intensiva desde el punto de vista computacional (Yehia et al, 2023).…”
Section: Escenarios De Evolución De Las Reservas Y De La Producción F...unclassified
“…The Arps method was not originally intended to predict gas production [13]. There are several fall curve analysis models used for gas wells, including exponential fall, hyperbolic fall, harmonic fall [14], Duong model, Fetkovich analysis [15].…”
Section: Introductionmentioning
confidence: 99%