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Synergy in Maximizing Value on Deepwater Development: Employing Fluid Sampling and Subsea Processing

机译:在深水开发上最大化价值的协同作用:采用流体采样和海底加工

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The acquisition of accurate subsea fluid samples for deep and ultra-deepwater development is crucial for the correct evaluation of oil reserves. This would enable design optimisation of subsea production and processing facilities in order to maximize asset value. Obtaining fluid samples from actual flow stream being measured subsea is one of the operational requirements to acquire accurate measurement for calibration of Subsea Multiphase Flowmeter (SMPFM). To achieve this, sufficient sample volumes are collected through Remote Operated Vehicle (ROV) deployed fluid sampling to ensure statistically valid characterisation of the sampled fluids. A virtual fluid sampling model has been developed, using the fluid properties that are equivalent to the flow stream being measured, to predict reliable reservoir fluid characteristics. This is applicable even under conditions where significant variations in the reservoir fluid composition occur in transient production operations. Another benefit is the value it adds in deciding when to employ subsea processing to manage water breakthrough as the field matures. This can be achieved through efficient processing of the fluid delivered to the topside facilities or for water re-injection to the reservoir. The failure to obtain representative samples can have considerable impact on the Operational Expenditure (OPEX) and consequently the asset value to sustain production volume or enhance financial returns over the life of the field. Hence, the virtual model provide a predictive tool to mitigate the risk of obtaining unrepresentative samples from measurement instruments in the field, with considerable cost saving on intervention of subsea sampling operations. Therefore, the combination of SMPFM, ROV deployed fluid sampling system and the virtual fluid sampling model, provides a balanced approach for reservoir performance monitoring. The present paper explores the synergy in successful application of subsea fluid sampling to maximize asset value in implementing subsea processing on deep and ultra-deepwater development.
机译:采集精确的海底流体样品用于深度和超深水开发对于正确评估石油储备来说至关重要。这将实现海底生产和加工设施的设计优化,以最大化资产价值。从测量的实际流动流获得流体样品是用于获取准确测量的用于校准海底多相流量计(SMPFM)的操作要求之一。为了实现这一点,通过远程操作车辆(ROV)部署的流体采样收集足够的样品体积,以确保采样流体的统计有效表征。使用相当于测量的流动流的流体性质开发了虚拟流体采样模型,以预测可靠的储层流体特性。即使在储层流体组合物在瞬态生产操作中发生显着变化的条件下,这也适用。另一个好处是它在决定何时采用海底处理以管理作为现场成熟的水突破时的价值。这可以通过有效地处理输送到顶部设施或用于水库的水重新注入的流体来实现。未能获得代表性样本可能对运营支出(OPEX)产生相当大的影响,从而在现场生命中维持生产体积或加强财务回报的资产价值。因此,虚拟模型提供了一种预测工具,以减轻从场中的测量仪器获得不成绩样本的风险,其在海底采样操作的干预方面具有相当大的成本节省。因此,SMPFM,ROV部署的流体采样系统和虚拟流体采样模型的组合提供了储层性能监测的平衡方法。本文探讨了普通液采样的成功应用协同作用,以最大限度地实现深层和超深水开发的海底加工的资产价值。

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