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"Kebocoran atau kegagalan operasi pipa penyalur akan menimbulkan bahaya bagi manusia dan lingkungan sekitarnya. Kegagalan ini seringkali terjadi dibawah umur teknis yang direncanakan. Analisa sisa umur pakai pipa penyalur yang tepat akan membantu pengguna dalam membuat perencanaan inspeksi berikutnya. Pada penelitian ini, sisa umur pakai dianalisa dengan melakukan pengujian laboratorium dan pengkajian data lapangan. Sampel uji yang digunakan adalah material spesifikasi API 5L gr. B baru standar pabrik dan material pipa unknown spec, dengan pengaruh laju korosi pada lingkungan atmosfer dan air tanah. Hasil pengujian lab dan pengkajian data lapangan menunjukkan bahwa sisa umur pakai terendah berturut-turut adalah 1,5 tahun dan 8,7 tahun. Berdasarkan regresi linier antara sisa umur pakai dan laju korosi pada pengujian lab dan pengkajian data lapangan menunjukkan bahwa keduanya memiliki hubungan dengan koefisien korelasi (r) berturut-turut sebesar 0,93 dan 0,97.

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Leakage or failure of the operation of the pipeline would pose a danger to humans and the surrounding environment. This failure often occurs under the thickness designed. A proper remaining life analysis of the pipeline will assist users in planning the next inspection. In this study, the remaining life analyzed by laboratory testing and assessment of field data. The sample used is a new API 5L gr. B material specification and unknown spec pipe material, with the effect of the corrosion rate in atmospheric environment and groundwater.

The test results and assessment of field data showed that the remaining life of the lowest row is 1.5 years and 8.7 years. Based on linear regression, remaining life and corrosion rate between lab testing and assessment of the field data show that both have a relationship with a correlation coefficient (r) respectively of 0.93 and 0.97."

"Gas turbin engine akan mengalami degradasi sejalan dengan waktu menjadi perhatian utama perusahaan oil dan gas karena akan berpengaruh terhadap engine reliability, availability, dan maintenance cost.Time based maintenance mengabaikan kondisi performance gas turbin apakah dalam kondisi sehat atau rusak, tetap dilakukan overhaul jika telah tercapai TBO Time Between Overhaul antara 25.000 jam. Kerusakan pada gas turbin sebelum TBO sulit terdeteksi. Performance monitoring mampu mendeteksi degradasi gas turbin sehingga membantu penggunanya untuk beralih dari Time based ke Condition Based Maintenance. Dari pola degradasi gas turbin, dapat ditentukan prediksi sisa umur pakai dengan menggunakan metode regresi dan analisa resiko.

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Gas turbine will experience performance degradation align with operation time. The degradation of gas turbine performance will be main focus in oil and gas company since its affecting to the reliability, availability, and maintenance cost.Time based maintenance was ignoring gas turbine performance whether it still can be running or it will be failed, gas turbine overhaul is still carried out when running hours reached Time Between Overhaul TBO at 25.000 hours. Gas turbine failure before overhauling schedule is difficult to predict when time based maintenance strategy applied.

Performance monitoring can detect gas turbine degradation so that assist oil and gas company as the user to change their maintenance program from Time Based to Condition Based Maintenance.Based on gas turbine performance degradation pattern. It can be determined the remaining useful life of gas turbine prior to overhauling by using regression method and carry out risk analysis."

"ABSTRACTRig mast structures in Indonesia are faced with a problem of aging. The current solution of detailed maintenance, inspection and load capacity rating assessment has been employed to ensure the safety of use and structural feasibility, however, taking into consideration of the service life of the equipment, a new method of assessment is needed to answer lingering time-driven questions such as how long the structure will last. The new solution to this problem is Remaining Life Assessment (RLA) based on fatigue and corrosion using SN-approach and API 510. The result of the remaining life assessment both by fatigue and corrosion analysis has proved that the structure is more than capable to be used for future operations under the current operational load condition. Two fatigue life prediction was given in this research denoted as normal and extreme prediction. The remaining life was estimated to be approximately 1265 years and 74 years respectively according to the current operational loading condition. Remaining life based on corrosion provides a shorter prediction with 23 years of remaining life and corrosion rate of 0,0119 mm/year. However, it was found during this research that due to various reasons, API 510 approach is not very suitable to be used to conduct remaining life assessment for onshore rig mast. Using trailing analysis for corrosion, it was found that the remaining life of the structure is 88 years. Furthermore, this research also proved that it is possible to conduct remaining life assessment using data obtained through inspection and other supporting documents owned by rig owner.

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ABSTRACTDewasa ini, banyak struktur menara rig di Indonesia yang sedang mengalami penuaan. Metode-metode yang ada untuk saat ini seperti maintenance inspection, dan hanya dapat menjamin kelayakan struktur tanpa memberikan kepastian secara waktu. Oleh karena itu skripsi ini fokus terhadap menjawab pertanyaan tersebut dengan cara mengkaji sisa umur dari struktur menara rig (Remaining Life Assessment). Menurut hasil dari kajian sisa umur pakai berdasarkan kelelahan dan korosi, dapat disimpulkan bahwa struktur masih aman untuk dioperasikan di masa depan dengan kondisi pembebanan seperti saat ini. Dua prediksi kelelahan diberikan dalam skripsi ini yang dilambangkan sebagai prediksi normal dan ekstrem. Sisa umur dari struktur diperkirakan sekitar 1265 tahun dan 74 tahun berdasarkan prediksi normal dan ekstrem. Umur sisa berdasarkan korosi menghasilkan prediksi lebih singkat dengan hasil 23 tahun dan laju korosi 0,0119 mm/tahun. Namun, pendekatan menggunakan API 510 diputuskan tidak terlalu sesuai untuk digunakan sebagai metode memprediksi sisa umur terhadap menara rig dikarenakan berbagai alasan yang telah diutarakan. Metode trailing analysis juga turut digunakan untuk memprediksi umur struktur dimana hasil sisa umur adalah 88 tahun. Lebih dari itu, skripsi ini berhasil membuktikan bahwa pengkajian sisa umur menara rig dapat dilakukan menggunakan data hasil inspeksi dan dokumen menara rig lainnya."