#TITLE_ALTERNATIVE#

• Main Author: PRATAMA PUTRA MR (NIM 10107068); Pembimbing : Prof. Dr. Edy Soewono dan Prof. Dr. Ir. Pudjo So, INDRA
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/14234
• Institution: Institut Teknologi Bandung

Deliverability of gas wells is very strategic in the operation plan of any gas field. Gas <br /> <br /> <br /> <br /> <br /> deliverability process includes determination of plateau rate, plateau time, inflow <br /> <br /> <br /> <br /> <br /> performance relationship, outflow performance relationship, fluid flow on the pipe, <br /> <br /> <br /> <br /> <br /> material balance and system production analysis. The main problem in multiwall <br /> <br /> <br /> <br /> <br /> system is how to allocate flow rate to each well for satisfying the contract value. In <br /> <br /> <br /> <br /> <br /> the first production period, normally the allocation in each well, which done using <br /> <br /> <br /> <br /> <br /> AOF comparison’s method. On the second production period, the allocation in each <br /> <br /> <br /> <br /> <br /> well, which done using optimization’s method. In this time, we get a condition where <br /> <br /> <br /> <br /> <br /> one or more than one gas flow rate allocation is bigger than their normal flow rate. <br /> <br /> <br /> <br /> <br /> The one way to solve this problem is reallocates flow rate with normal flow rate as a <br /> <br /> <br /> <br /> <br /> constraint for each well. Genetic algorithm is used to solve that’s optimization <br /> <br /> <br /> <br /> <br /> problem. In this final project, it will be showed that the better way for allocating flow <br /> <br /> <br /> <br /> <br /> rate on every period is using AOF comparison’s method first and then using heuristic <br /> <br /> <br /> <br /> <br /> method until the contract value is satisfied.