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Abstract

Total E&P Qatar (TEPQ) have made a significant effort to test new approaches to improve its current production metering systems for multiphase flow conditions. New technologies are tested through pilot applications on field. One of which is the use of advanced data validation and reconciliation (DVR) in oil and gas production activities. The goal is to reconcile in real-time the measured data and estimate all new information from a plant, which are not continuously measured. In this case, the target is the three phase flow rates: oil, water and gas. The study intends to provide a summary of the achievements, benefits and lessons learned from the application of DVR pilot on multiphase flow metering in Total's field in Qatar. This field is operated by Total under a production sharing agreement with Qatar Petroleum. Theoretically, the DVR approach uses information redundancy to correct data and re-evaluate its accuracy. Direct measurements and model parameters are processed at the same time. The input data consists of pressure volume temperature measurements (fluid) and electrical power consumption (motor current, voltage & frequency). We have derived models to estimate the flow rates of the three phases on the basis of these input data. Simultaneously, thanks to the reconciliation process, the input data are corrected with respect to material and energy balances. The output results constitute a set of reconciled data and calculated information with high accuracy. The DVR pilot is currently in the process of finalization to become an operational tool. Online acquisition and processing is performed and daily reporting is shared among operational engineering teams. It was found that the major challenge was related to the modelling of production equipments. A significantly longer period of time was allocated to better understand their actual behaviour in real environments. In conclusion, this pilot study of new approaches has allowed us to enhance the reliability of our metering system and increase our efficiency for installation assessments. Moreover, these findings will allow researchers to conduct further studies with more operational challenges. Further conclusions will be presented in this paper.

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/content/papers/10.5339/qfarf.2012.EEP7
2012-10-01
2020-11-28
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http://instance.metastore.ingenta.com/content/papers/10.5339/qfarf.2012.EEP7
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