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Real-Time Production Logs Surveillance: Automated Workflow TechnologyAllows Synthetic Sensing of Oilfield Downhole Production

机译:实时生产日志监控:自动化工作流程技术可使油田井下生产的合成传感

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One goal for oil fields of the future is acquiring continuous and on-demand data as required for fieldand reservoir management.Synthetic time-lapse production methods are becoming a way of providingthis information at and away from wells.Time-lapse production log data acquired over oil fields is usedto monitor water sweep in the reservoir.Production logs provide a direct measure of the fluid flowingdownhole and detect the unwanted fluid entries.In field applications,this advanced scanning of fluidprofiling successfully derisked several infill well locations and identified new workover candidates anddrilling opportunities in the fields.Synthetic time-lapse production logging is a useful complement to understanding reservoir heterogeneityand complexity through tailored synthetic and real data integration.A computer-based workflow hasbeen developed to automate the downhole production flow profile.Production performance of the well isassessed,considering the dynamic time-lapse logging data.A synthetic flow profile is constructed to showthe change in water production signature,and the well is further examined if it undergoes remedial actions.Reservoir characterization is a continuous process during the life of the oil field.As new data are available,the model is updated and contains more details.The incorporation of all data allows increased accuracy andreduced uncertainty in characterizing the reservoir.The proposed methodology requires the acquisition of dynamic production logging data to establish asolid workflow and validate the model.Uncertainty can be eliminated with the acquisition of additionalproduction logs.Recommendations for improvement of the current well condition can be made to reducethe well water cut and improve oil production from the well.Consequently,well classification and candidateselection for workover can be achieved.The results of this work demonstrate the strength of applyingmultidisciplinary team efforts to develop automated workflows that are relevant to reservoir and productionengineers who deal with complex reservoirs with numerous wells.
机译:未来油田的一个目标是根据Fieldand Reservoir Management的需要获取连续和按需数据。合成延期的生产方法正在成为在井中提供的信息.Time-ay-aift生产日志数据用于监测水库中的水扫描的油田。生产日志提供了一种直接测量流体流动的流体流动,检测了不需要的流体条目。在现场应用中,这种高级扫描流体精制成功播放了几个填充井位置,并确定了新的工人候选人候选机会在田地中。合成时间流逝生产测井是了解储层异质性和通过量身定制的合成和实际数据集成的复杂性的有用补充。基于计算机的工作流程,已开发出用于自动化井下生产流程配置文件。考虑到井的井下生产流程。生产性能,考虑到动态时间间隔日志记录数据.A合成流程图构造成显示水生产特征的变化,如果经历补救措施,则进一步检查井.Reservoir表征在油田的寿命期间是一个连续的过程。可以使用新数据,模型是更新并包含更多详细信息。所有数据的内容允许提高准确性并且在表征储存器时的不确定度。所提出的方法需要获取动态生产测井数据以建立ASOLID工作流程并验证模型可以通过获取额外生产来消除模型。可以提高当前井条件改进的日志。可以使井水切割并从井中改善石油生产。可以实现对工作同事的良好分类和候选人。这项工作的结果表明了应用程序的力量努力开发自动化工作流程与储层和厂家有关,他们与众多井处理复杂的储层。

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