%0 Journal Article %1 Knudsen2014234 %A Knudsen, Brage Rugstad %A Grossmann, Ignacio E. %A Foss, Bjarne %A Conn, Andrew R. %D 2014 %J Computers & Chemical Engineering %K conn optimization pcg_optimization %P 234 - 249 %R http://dx.doi.org/10.1016/j.compchemeng.2014.02.005 %T Lagrangian relaxation based decomposition for well scheduling in shale-gas systems %U http://www.sciencedirect.com/science/article/pii/S0098135414000374 %V 63 %X 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.

@article{Knudsen2014234, abstract = {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. }, added-at = {2016-03-15T15:24:31.000+0100}, author = {Knudsen, Brage Rugstad and Grossmann, Ignacio E. and Foss, Bjarne and Conn, Andrew R.}, biburl = {https://www.bibsonomy.org/bibtex/25dcb35658867fd452c5ddf691a7b6e98/einar90}, doi = {http://dx.doi.org/10.1016/j.compchemeng.2014.02.005}, interhash = {58eb652be8dfa06d850b38d7fa1a250c}, intrahash = {5dcb35658867fd452c5ddf691a7b6e98}, issn = {0098-1354}, journal = {Computers & Chemical Engineering }, keywords = {conn optimization pcg_optimization}, pages = {234 - 249}, timestamp = {2016-03-15T15:24:31.000+0100}, title = {Lagrangian relaxation based decomposition for well scheduling in shale-gas systems }, url = {http://www.sciencedirect.com/science/article/pii/S0098135414000374}, volume = 63, year = 2014 }