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Predicting Barik Formation Production from Seismic,Khazzan Field,North Oman

机译:预测地震,赫拉泽斯田,北阿曼的地震形成生产

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Prediction of areas of good reservoir deliverability has been achieved by the integration of production data,petrophysical analysis,palaeocurrent analyses,core data and 3D seismic data.The key data in this comparative analysis are derived from a petrophysical workflow,which is calibrated to surveillance data and dynamic well test data.These data include porosity,porosity-thickness(PhiH),permeability,and permeability-thickness(KH). The results of this initial integration are compared with extractions from numerous seismically- generated attribute maps at each well location and used to define preferred seismic PhiH and KH maps. These can be utilised for well planning and further integrated with geocelluar reservoir models. Additional geological interpretation confirms that trends within the Barik depositional system can be recognised on seismic,defining areas which have the potential to have similar thickness,depositional facies and most likely,similar potential production within them. This has led to optimisation of the drilling schedule,allowing rescheduling of wells from areas that are now understood to be potentially poor to areas having higher potential,thus increasing efficiency. Additionally,this work indicates that wells having low production on test conform to areas where low production is predicted,but some wells in the predicted areas of moderate to high production show higher prediction errors than other wells within the same area.This methodology clarifies where differences between predicted and actual measurements occur,allowing the second phase of integration aimed at improving predictions and mitigating risks.
机译:通过生产数据的整合,岩石物理分析,古代电流分析,核心数据和3D地震数据的集成来实现了良好的储层可交付能力的预测。该比较分析中的关键数据来自岩石物理工作流程,该流程校准监控数据和动态良好的测试数据。这些数据包括孔隙率,孔隙率厚度(PHIH),渗透性和渗透性 - 厚度(KH)。将该初始集成的结果与来自每个阱位置的许多地震生成的属性地图的提取进行了比较,并且用于定义优选的地震phih和kh地图。这些可以用于井规划,并进一步与地理恐吓储层模型集成。额外的地质解释证实,可以在地震下识别Barik沉积系统内的趋势,限定区域具有具有相似厚度,沉积相和最有可能的潜在产量的潜力。这导致了钻井时间表的优化,允许从现在被理解的区域重新安排井中,从而潜在地差,从而提高效率。此外,这项工作表明,在预测低生产的区域,具有低生产的井具有低产生的区域,但预测区域中的一些孔比同一地区内的其他井的预测误差显示出更高的预测误差。本方法阐明了差异的差异在预测和实际测量之间发生之间,允许第二阶段集成旨在提高预测和减轻风险。

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