Dynamic Formation Evaluation to Reduce Uncertainty and Confirm Completed Intervals in Brown Fields

Muhamad Aizat B Kamaruddin, A. Ashqar, Muhammad Haniff Suhaimi, F. A. Salleh
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Abstract

Uncertainties in fluid typing and contacts within Sarawak Offshore brown field required a real time decision. To enhance reservoir fluid characterisation and confirm reservoir connectivity prior to well final total depth (TD). Fluid typing while drilling was selected to assure the completion strategy and ascertain the fluvial reservoir petrophysical interpretation. Benefiting from low invasion, Logging While Drilling (LWD) sampling fitted with state of ART advanced spectroscopy sensors were deployed. Pressures and samples were collected. The well was drilled using synthetic base mud. Conventional logging while drilling tool string in addition to sampling tool that is equipped with advanced sensor technology were deployed. While drilling real time formation evaluation allowed selecting the zones of interest, while fluid typing was confirmed using continually monitored fluids pump out via multiple advanced sensors, contamination, and reservoir fluid properties were assessed while pumping. Pressure and sampling were performed in drilling mode to minimise reservoir damage, and optimise rig time, additionally sampling while drilling was performed under circulation conditions. Pressures were collected first followed by sampling. High success in collecting pressure points with a reliable fluid gradient that indicated a virgin reservoir allowed the selection of best completion strategy without jeopardising reserves, and reduced rig time. Total of seven samples from 3 different reservoirs, four oil, and three formation water. High quality samples were collected. The dynamic formation evaluation supported by while drilling sampling confirmed the reservoir fluid type and successfully discovered 39ft of oil net pay. Reservoir was completed as an oil producer. The Optical spectroscopy measurements allowed in situ fluid typing for the quick decision making. The use of advanced optical sensors allowed the sample collection and gave initial assessment on reservoir fluids properties, as a result cost saving due to eliminating the need for additional Drill Stem Test (DST) run to confirm the fluid type. Sample and formation pressures has confirmed reservoir lateral continuity in the vicinity of the field. The reservoir developed as thick and blocky sandstone. Collected sample confirmed the low contamination levels. Continuous circulation mitigated sticking and potential well-control risks. This is the first time in surrounding area, advanced optical sensors are used to aid LWD sampling and to finalize the fluid identification. The innovative technology allowed the collection of low contamination. The real-time in-situ fluid analysis measurement allowed critical decisions to be made real time, consequently reducing rig downtime. Reliable analysis of fluid type identification removed the need for additional run/service like DST etc.
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棕地动态地层评价减少不确定性,确定完井层段
砂拉越近海棕地流体类型和接触的不确定性需要实时决策。提高储层流体特征,并在最终井总深度(TD)之前确认储层连通性。为了确定完井策略和确定河流储层岩石物理解释,选择了随钻流体类型。得益于低侵入性,随钻测井(LWD)采样采用了最新的先进光谱传感器。收集压力和样品。这口井是用合成基钻井液钻井的。除了配备先进传感器技术的采样工具外,还部署了常规随钻测井工具串。钻井实时地层评估允许选择感兴趣的层位,同时通过多个先进的传感器连续监测泵出的流体来确认流体类型,在泵送的同时评估污染和储层流体性质。在钻井模式下进行压力和采样,以尽量减少对油藏的损害,并优化钻机时间,此外,在循环条件下进行钻井时进行采样。首先收集压力,然后取样。通过可靠的流体梯度,成功地收集了压力点,这表明该油藏为未开发油藏,可以在不损害储量的情况下选择最佳完井策略,并缩短了钻机时间。总共7个样品来自3个不同的储层,4个油层和3个地层水。采集了高质量的样品。随钻取样支持的动态地层评价确认了储层流体类型,并成功发现了39英尺的油净产层。该油藏作为采油井完成。光谱学测量允许现场流体类型快速决策。使用先进的光学传感器可以收集样品,并对储层流体性质进行初步评估,从而节省了成本,因为无需进行额外的钻柱测试(DST)来确认流体类型。样品和地层压力证实了油田附近储层的横向连续性。储层发育为厚而块状的砂岩。收集的样本证实污染水平较低。连续循环降低了卡钻和潜在的井控风险。这是在周边地区首次使用先进的光学传感器来辅助LWD采样并完成流体识别。这项创新技术使低污染的收集成为可能。实时现场流体分析测量可以实时做出关键决策,从而减少钻机停机时间。流体类型识别的可靠分析消除了额外的运行/服务,如DST等。
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