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Lagrangian relaxation based decomposition for well scheduling in shale-gas systems

Identifieur interne : 005312 ( Main/Exploration ); précédent : 005311; suivant : 005313

Lagrangian relaxation based decomposition for well scheduling in shale-gas systems

Auteurs : Brage Rugstad Knudsen [Norvège] ; Ignacio E. Grossmann [États-Unis] ; Bjarne Foss [Norvège] ; Andrew R. Conn [États-Unis]

Source :

Computers & chemical engineering [ 0098-1354 ] ; 2014.

RBID : Pascal:14-0110927

Descripteurs français

Pascal (Inist)
- Puits gaz, Ordonnancement, Système réparti, Champ gaz, Fréquence accord, Temps calcul, Chute, Industrie gazière, Méthode relaxation, Multiplicateur Lagrange, Méthode décomposition, Court terme, Modélisation, Programmation partiellement en nombres entiers, Navigation inertie, Estimation paramètre, ., Gaz de schiste.

English descriptors

KwdEn :
- Computation time, Decomposition method, Distributed system, Fall, Gas field, Gas industry, Gas well, Inertial navigation, Lagrange multiplier, Mixed integer programming, Modeling, Parameter estimation, Relaxation method, Scheduling, Shale gas, Short term, Tuning frequency.

Abstract

Suppressing the effects of liquid loading is a key issue for efficient utilization of mid and late-life wells in shale-gas systems. This state of the wells can be prevented by performing short shut-ins when the gas rate falls below the minimum rate needed to avoid liquid loading. In this paper, we present a Lagrangian relaxation scheme for shut-in scheduling of distributed shale multi-well systems. The scheme optimizes shut-in times and a reference rate for each multi-well pad, such that the total produced rate tracks a given short-term gas demand for the field. By using simple, frequency-tuned well proxy models, we obtain a compact mixed-integer formulation which by Lagrangian relaxation renders a decomposable structure. A set of computational tests demonstrates the merits of the proposed scheme. This study indicates that the method is capable of solving large field-wide scheduling problems by producing good solutions in reasonable computation times.

Affiliations:

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Le document en format XML

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<front><div type="abstract" xml:lang="en">Suppressing the effects of liquid loading is a key issue for efficient utilization of mid and late-life wells in shale-gas systems. This state of the wells can be prevented by performing short shut-ins when the gas rate falls below the minimum rate needed to avoid liquid loading. In this paper, we present a Lagrangian relaxation scheme for shut-in scheduling of distributed shale multi-well systems. The scheme optimizes shut-in times and a reference rate for each multi-well pad, such that the total produced rate tracks a given short-term gas demand for the field. By using simple, frequency-tuned well proxy models, we obtain a compact mixed-integer formulation which by Lagrangian relaxation renders a decomposable structure. A set of computational tests demonstrates the merits of the proposed scheme. This study indicates that the method is capable of solving large field-wide scheduling problems by producing good solutions in reasonable computation times.</div>
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Lagrangian relaxation based decomposition for well scheduling in shale-gas systems

Lagrangian relaxation based decomposition for well scheduling in shale-gas systems

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri