DURI CRUDE PRIMARY ALLOCATION FACTOR PERFORMANCE IMPROVEMENT BY SIX SIGMA METHODE

Primary Allocation Factor (PAF) is a number that represent the performance of measurement and crude oil transportation from production field to shipping facility at Dumai. Crude oil production from oil field, after corrected by PAF, will be used as formal and official number for optimum crude oil re...

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Main Author: SHALAHUDDIN (NIM : 29106358); Pembimbing Akademik : Dr. Ir. Dermawan Wibisono, M. Eng., ARIF
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/15012
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:15012
spelling id-itb.:150122017-09-27T15:30:48ZDURI CRUDE PRIMARY ALLOCATION FACTOR PERFORMANCE IMPROVEMENT BY SIX SIGMA METHODE SHALAHUDDIN (NIM : 29106358); Pembimbing Akademik : Dr. Ir. Dermawan Wibisono, M. Eng., ARIF Indonesia Theses INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/15012 Primary Allocation Factor (PAF) is a number that represent the performance of measurement and crude oil transportation from production field to shipping facility at Dumai. Crude oil production from oil field, after corrected by PAF, will be used as formal and official number for optimum crude oil reservoir management, performance evaluation of production teams, even as reference for production sharing calculation to be shared to crude producers districts (Kabupaten). The accuracy of this process raises full attention of all stake holders. <br /> <br /> <br /> With crude oil production declining nowadays, the performance of PAF is even more important that before, and getting attention from management of PT XYZ. Therefore, it is initiated to conduct an effort to improve PAF performance use Six Sigma method, which is one of corporate base business initiative. The goals of this effort are mainly to reduce variation of PAF value and to understand the current PAF process. Six Sigma methods organized the process to become some phases abbreviated as DMAIC. They are Define, Measure, Analyze, Improve and Control. <br /> <br /> <br /> The solusions captured in this Six Sigma process are catagorized in two catagories, short term and long term solusions. The short term solutions are implementing seal system to meter and proving equipment, develop proving verification procedure, develop a procedure to ensure proving si conducted at operation condition, develop meter factor performance monitoring procedure, develop pipeline stock change due to temperature, pressure and S&W change procedure, develop procedure to ensure meter ticket collection at hour 24:00, develop procedure and provide a manner to record ticket collection time, improve meter maintenance program, develop waterdraw procedure, provide S&W reading tools, improve lighting at tank measurement area and change temperature measurement method by using eletronic thermometer. All of the solutions are develop with their implementation strategy, and each will be executed by Six Sigma team. The long term solusions are installation of flow computer, installation of automatic sampling system, tank measurement area improvement, and inventory system, free water calculation, tank filling effect calculation and tank shrinkage/expansion compensation improvement in PT XYZ’s tank and shipment management database system named DOSIS. Long term solusions will be executed by separated team appointed by management. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description Primary Allocation Factor (PAF) is a number that represent the performance of measurement and crude oil transportation from production field to shipping facility at Dumai. Crude oil production from oil field, after corrected by PAF, will be used as formal and official number for optimum crude oil reservoir management, performance evaluation of production teams, even as reference for production sharing calculation to be shared to crude producers districts (Kabupaten). The accuracy of this process raises full attention of all stake holders. <br /> <br /> <br /> With crude oil production declining nowadays, the performance of PAF is even more important that before, and getting attention from management of PT XYZ. Therefore, it is initiated to conduct an effort to improve PAF performance use Six Sigma method, which is one of corporate base business initiative. The goals of this effort are mainly to reduce variation of PAF value and to understand the current PAF process. Six Sigma methods organized the process to become some phases abbreviated as DMAIC. They are Define, Measure, Analyze, Improve and Control. <br /> <br /> <br /> The solusions captured in this Six Sigma process are catagorized in two catagories, short term and long term solusions. The short term solutions are implementing seal system to meter and proving equipment, develop proving verification procedure, develop a procedure to ensure proving si conducted at operation condition, develop meter factor performance monitoring procedure, develop pipeline stock change due to temperature, pressure and S&W change procedure, develop procedure to ensure meter ticket collection at hour 24:00, develop procedure and provide a manner to record ticket collection time, improve meter maintenance program, develop waterdraw procedure, provide S&W reading tools, improve lighting at tank measurement area and change temperature measurement method by using eletronic thermometer. All of the solutions are develop with their implementation strategy, and each will be executed by Six Sigma team. The long term solusions are installation of flow computer, installation of automatic sampling system, tank measurement area improvement, and inventory system, free water calculation, tank filling effect calculation and tank shrinkage/expansion compensation improvement in PT XYZ’s tank and shipment management database system named DOSIS. Long term solusions will be executed by separated team appointed by management.
format Theses
author SHALAHUDDIN (NIM : 29106358); Pembimbing Akademik : Dr. Ir. Dermawan Wibisono, M. Eng., ARIF
spellingShingle SHALAHUDDIN (NIM : 29106358); Pembimbing Akademik : Dr. Ir. Dermawan Wibisono, M. Eng., ARIF
DURI CRUDE PRIMARY ALLOCATION FACTOR PERFORMANCE IMPROVEMENT BY SIX SIGMA METHODE
author_facet SHALAHUDDIN (NIM : 29106358); Pembimbing Akademik : Dr. Ir. Dermawan Wibisono, M. Eng., ARIF
author_sort SHALAHUDDIN (NIM : 29106358); Pembimbing Akademik : Dr. Ir. Dermawan Wibisono, M. Eng., ARIF
title DURI CRUDE PRIMARY ALLOCATION FACTOR PERFORMANCE IMPROVEMENT BY SIX SIGMA METHODE
title_short DURI CRUDE PRIMARY ALLOCATION FACTOR PERFORMANCE IMPROVEMENT BY SIX SIGMA METHODE
title_full DURI CRUDE PRIMARY ALLOCATION FACTOR PERFORMANCE IMPROVEMENT BY SIX SIGMA METHODE
title_fullStr DURI CRUDE PRIMARY ALLOCATION FACTOR PERFORMANCE IMPROVEMENT BY SIX SIGMA METHODE
title_full_unstemmed DURI CRUDE PRIMARY ALLOCATION FACTOR PERFORMANCE IMPROVEMENT BY SIX SIGMA METHODE
title_sort duri crude primary allocation factor performance improvement by six sigma methode
url https://digilib.itb.ac.id/gdl/view/15012
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