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Deliverability of gas wells is very strategic in the operation plan of any gas field. Gas deliverability process includes determination of plateau rate, plateau time, inflow performance relationship, outflow performance relationship, fluid flow on the pipe, material balance and system production ana...
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Online Access: | https://digilib.itb.ac.id/gdl/view/16060 |
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id-itb.:160602017-09-27T11:43:09Z#TITLE_ALTERNATIVE# PRATAMA PUTRA MR (NIM : 10107068); Pembimbing : Prof. Dr. Edy Soewono Prof. Dr. Ir. Pudjo Soe, INDRA Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/16060 Deliverability of gas wells is very strategic in the operation plan of any gas field. Gas deliverability process includes determination of plateau rate, plateau time, inflow performance relationship, outflow performance relationship, fluid flow on the pipe, material balance and system production analysis. The main problem in multiwall <br /> <br /> system is how to allocate flow rate to each well for satisfying the contract value. In the first production period, normally the allocation in each well, which done using AOF comparison’s method. On the second production period, the allocation in each well, which done using optimization’s method. In this time, we get a condition where one or more than one gas flow rate allocation is bigger than their normal flow rate. The one way to solve this problem is reallocates flow rate with normal flow rate as a constraint for each well. Genetic algorithm is used to solve that’s optimization problem. In this final project, it will be showed that the better way for allocating flow <br /> <br /> rate on every period is using AOF comparison’s method first and then using heuristic method until the contract value is satisfied. text |
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Deliverability of gas wells is very strategic in the operation plan of any gas field. Gas deliverability process includes determination of plateau rate, plateau time, inflow performance relationship, outflow performance relationship, fluid flow on the pipe, material balance and system production analysis. The main problem in multiwall <br />
<br />
system is how to allocate flow rate to each well for satisfying the contract value. In the first production period, normally the allocation in each well, which done using AOF comparison’s method. On the second production period, the allocation in each well, which done using optimization’s method. In this time, we get a condition where one or more than one gas flow rate allocation is bigger than their normal flow rate. The one way to solve this problem is reallocates flow rate with normal flow rate as a constraint for each well. Genetic algorithm is used to solve that’s optimization problem. In this final project, it will be showed that the better way for allocating flow <br />
<br />
rate on every period is using AOF comparison’s method first and then using heuristic method until the contract value is satisfied. |
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Final Project |
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PRATAMA PUTRA MR (NIM : 10107068); Pembimbing : Prof. Dr. Edy Soewono Prof. Dr. Ir. Pudjo Soe, INDRA |
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PRATAMA PUTRA MR (NIM : 10107068); Pembimbing : Prof. Dr. Edy Soewono Prof. Dr. Ir. Pudjo Soe, INDRA #TITLE_ALTERNATIVE# |
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PRATAMA PUTRA MR (NIM : 10107068); Pembimbing : Prof. Dr. Edy Soewono Prof. Dr. Ir. Pudjo Soe, INDRA |
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PRATAMA PUTRA MR (NIM : 10107068); Pembimbing : Prof. Dr. Edy Soewono Prof. Dr. Ir. Pudjo Soe, INDRA |
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https://digilib.itb.ac.id/gdl/view/16060 |
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