In recent years the Industry are busy talking about the subject of mature field development, lots of opportunity and approaches has been applied to enhanced reserves and production, in the other hand efficiency and technology also can be the answer of the subject, big volume of data at high frequency produced every second, searching relevant information from those data are quite complex and time consuming, not to mention processing huge data volume for many particular solution, it is complicating the decision making process. The objective of this paper is addressing the process and technical challenges in building digital oil field platform at offshore mature asset to speed up the decision making and make operation activities more efficient. The design of the workflows and business processes are tailored to accommodate any kind of input across all the disciplines from reservoir, production, drilling and completion to produce output as desired. The early stage process of building digital oil field system starts from data utilization that produced by downhole sensors, it is attached with Electric Submersible Pump that installed at all wells. The data transformed into information for real-time production monitoring & optimization, these workflows allow production enhancement by continuous monitoring of production parameters such as pressure, temperature, flow rates, choke settings and target. Analysis of these parameters carried out using trend, in case of anomalies happens in the process, the system will provide the information and possible solution. Digital Oil Field technology can be a game changer for the mature field development in the future. Integration of technology, process and people together to achieve financial objective is the major initiative of digital project, but applying digital technology is easier said than done as our companies are finding out, in our case we faced several difficulties that need time and complex algorithm to find the solution. But this early stage of digital oil field will answer the challenges in managing offshore mature asset efficiently, because it will reduce downtime, optimize production, and reduce cost. The future development of digital oil field in SES Block will allow all parties to grab the information in present time and also the forecast prediction of asset performance in the future. SES Block is a mature oil field that has produced for more than 50 years, peak production rate almost reached 250,000 BOPD in 1991, while current production rate around 30,000 BOPD. One of the major problems in this asset is the excessive use of Electric Submersible Pump that generates high operating cost, this is the reason why efficiency during daily operation process using digital oil field application is smart answer to reduce cost and optimize company profit.
In a field offshore Sumatra, several wells were experiencing pump failures because of loss of flow, sand erosion on pump stages, pump shaft rotation, broken shafts, and motor burnout. The remote offshore location of the wells was an additional hindrance, making it difficult to quickly respond to pump performance issues. This paper will show that the combination of abrasion-resistant pumps and accessibility and analysis of electric submersible pump (ESP) data are critical parameters for responsiveness and efficiency in troubleshooting. The ESP reliability initiative began with well candidate selection to identify the most challenging wells with a known history of short run life primarily due to excessive sand and gas production. A new abrasion-resistant pump with enhanced compression design was installed in four wells as a pilot project. This count increased to 11 by Q2 2016. In addition, all these wells were put under 24/7 real-time surveillance to ensure that the pump performance issues were noticed immediately and acted upon much faster than in the manual troubleshooting process, which could take 2 to 3 days, at best. A right combination of technical solution for pumps enabled better run life performance, and remote surveillance enabled faster troubleshooting and optimization of ESP peformance. These improvements are sustained through defined end-to-end workflows for performing root cause analysis of incidents performed jointly by the operators and ESP suppliers.
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