JOURNEY OF PURSUING 1% LOSS PRODUCTION OPPORTUNITY IN FIELD X
Loss Production is inevitable process of oil and gas operation including field X. Field X is a mature field that operates for over 50 years and currently operates with about 4% production loss due to well down. Most of well down or off due 2 major reasons: proactive job or intentional programs to im...
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Format: | Theses |
Language: | Indonesia |
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Online Access: | https://digilib.itb.ac.id/gdl/view/77429 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | Loss Production is inevitable process of oil and gas operation including field X. Field X is a mature field that operates for over 50 years and currently operates with about 4% production loss due to well down. Most of well down or off due 2 major reasons: proactive job or intentional programs to improve well performance such as pump replacement, workover or stimulation and reactive job or unintentional well down due to pump failure, power outage, pipe leak, etc.
Current condition most of loss production is contributed from reactive well down due to pump failure. In fact current failure rate is relatively low about 0.2/ year or in other words in average pump failure happens once in 5 years or about 1600 mean time between failure (MTBF).
Since the production in field X is part of top producers in Indonesia, 4% of loss is relatively intriguing since volume of oil loss is almost as big as production of a field in Indonesia. Historically, the 4% itself is a result of long journey of effort and improvement. With high oil demand, will 4% is low enough or will 1% is achievable?
Simple method to assess the opportunity is to do comparative studies with analogue fields around the globe and statistical approach to review historical performance of field X including wedges for each reason of failure. Novelty method to asses the opportunity is by developing loss oil model with simple model and regression model using Phyton (RMP) approach. RMP is selected since the field has already historical big data that makes it visible to run. Result of assessment is then verified with its “doability”, what kind of the circumstance or operation condition required to meet the potential improvement compare with existing condition is assessed and calculate the economic trade off.
Results shows that field X shows possibility to achieve 1% with certain condition and surely extra cost and potential redundant resources. The economic assessment with future dynamic oil price will define true “doability” of getting 1% loss or answering the questions, should the company pursuing the 1% ?
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