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Abstrak :
Seiring dengan perkembangan zaman, gas bumi terus menjadi sumber energi yang penting dalam pergantian dari energi yang bersumber dari minyak bumi. Kebutuhan gas bumi semakin meningkat dari tahun ke tahun sehingga membutuhkan peningkatan produksi gas bumi guna memenuhi kebutuhan di masyarakat. Selain meningkatkan produksi gas bumi, optimisasi infrastruktur gas bumi seperti jaringan pipa transmisi perlu dilakukan untuk mengoptimalkan kinerja infrastruktur gas yang sudah dibangun. Dalam penelitian ini, optimisasi dilakukan untuk mendapatkan solusi optimum dari dua fungsi obyektif, yaitu laju alir gas dan linepack pada sistem perpipaan dengan keadaan sebelum dan sesudah penambahan titik suplai dan delivery. Optimisasi dilakukan dengan menggunakan permodelan algoritma genetika yang hasilnya dianalisis menggunakan Pareto Optimally Solution sehingga diperoleh beberapa solusi optimum. Penambahan titik suplai dan delivery meningkatkan nilai laju alir optimum tetapi menurunkan nilai linepack optimum pada sistem perpipaan. Hasil optimisasi dengan permodelan algoritma genetika kemudian dibandingkan dengan uji simulasi pada Pipeline Studio. Hasil optimisasi yang didapatkan dengan permodelan algoritma genetika lebih optimum dibandingkan dengan uji simulasi pada Pipeline Studio.

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As the time flies, natural gas continues to be an important energy source in the turnover from energy sourced from petroleum. The need for natural gas is increasing from year to year so it requires an increase in natural gas production to meet the natural gas demand. In addition to increasing natural gas production, optimization of gas infrastructure such as the natural gas transmission pipeline network need to be done to optimize the performance of the gas infrastructure that has been built. In this research, optimization has been done by multi-objective optimization to get optimum solutions for gas flowrate and linepack for pipeline system before and after additional supply and delivery points. Optimization has been done by genetic algorithm modelling and the result was analyzed by Pareto Optimally Solution so there are several optimum solutions. An additional supply and delivery points increase the optimum flowrate but decrease the linepack. The result of optimization by genetic algorithm modelling then compared with simulation in Pipeline Studio. The result of this comparison is optimum solution from genetic algorithm modelling is better than simulation in Pipeline Studio.

Abstrak :
Tesis ini dilatarbelakangi oleh tiadanya prediksi tingkat reliabilitas sistem perpipaan transmisi gas bumi Sumatera ? Jawa Phase 1. Prediksi tingkat reliabilitas perlu untuk diketahui sebagai dasar manajemen operasi dan pemeliharaan dalam mengembangkan sistemnya agar dapat mengantisipasi kegagalan dan menjaga reliabilitas di masa depan. Untuk menghitung tingkat reliabilitas tersebut menggunakan metode Fault Tree Analysis yang mendasarkan perhitungannya pada laju kegagalan komponen penyusun sistem perpipaan. Laju kegagalan komponen mengacu pada data operasi dan pemeliharaan yang tersedia dan OREDA (Offshore Reliability Data Handbook). Kualitas hasil perhitungan reliabilitas dengan metode FTA ditentukan oleh seberapa baik pemodelan sistem, keakuratan pohon kegagalan (fault tree) berikut rangkaian gerbang logikanya (logic gate) serta ketepatan penerapan modus kegagalan komponen berikut laju kegagalannya. Dengan metode FTA ini diperoleh besaran reliabilitas total sistem perpipaan sekaligus sub-sistemnya sehingga dapat digunakan untuk melihat subsistem mana yang paling besar pengaruhnya terhadap reliabilitas total sistem. Dari perhitungan reliabilitas didapatkan hasil tingkat reliabilitas total sistem sebesar 99,5%. Data reliabilitas dan analisanya digunakan untuk mengevaluasi program operasi dan pemeliharaan saat ini dan melihat efektifitasnya untuk menjaga reliabilitas sistem yang tinggi. Rekomendasi diberikan untuk mengembangkan program operasi dan pemeliharaan untuk fokus pada reliabilitas.

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The background of this thesis is the absence of prediction on reliability of Phase 1 Gas Transmission Sumatera ? Jawa pipeline system. The predictive reliability is needed by operation and maintenance management to develop their system in order to anticipate potential failure in future and to maintain required level of reliability of their system. Reliability is calculated by using Fault Tree Analysis based on the failure of components in the system. Failure rate of components are determined from historical operation & maintenance data and OREDA (Offshore Reliability Data Handbook). The quality of reliability calculation by using FTA are depending on the validity of system modeling, the accuracy of fault-tree developed with proper logic-gate and the choice of relevant component-failuremode and its failure rate. Reliability calculation using FTA gives the total reliability of system and sub-system, therefore it is able to see the sub-system which has big contribution to the total reliability of system. The calculation gives the total reliability of system of 99,5%. The reliability data and the analysis is used to evaluate the effectiveness of the existing operation & maintenance program in maintaining the reliability. Recommendation is given to improve the operation & maintenance program in order to focus on reliability.;The background of this thesis is the absence of prediction on reliability of Phase 1 Gas Transmission Sumatera ? Jawa pipeline system. The predictive reliability is needed by operation and maintenance management to develop their system in order to anticipate potential failure in future and to maintain required level of reliability of their system. Reliability is calculated by using Fault Tree Analysis based on the failure of components in the system. Failure rate of components are determined from historical operation & maintenance data and OREDA (Offshore Reliability Data Handbook). The quality of reliability calculation by using FTA are depending on the validity of system modeling, the accuracy of fault-tree developed with proper logic-gate and the choice of relevant component-failuremode and its failure rate. Reliability calculation using FTA gives the total reliability of system and sub-system, therefore it is able to see the sub-system which has big contribution to the total reliability of system. The calculation gives the total reliability of system of 99,5%. The reliability data and the analysis is used to evaluate the effectiveness of the existing operation & maintenance program in maintaining the reliability. Recommendation is given to improve the operation & maintenance program in order to focus on reliability.