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Optimizing Oil Rim Development in a Tight, Fractured Carbonate Field: Khuff Formation, Yibal Field, Sultanate of Oman

机译:优化油轮型碳酸盐田的油轮型发育:Khuff Chordation,Yibal Field,阿曼苏丹国

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The Khuff formation in the Yibal field is currently undergoing one of the largest field development campaigns in PDO. While the main project driver is securing gas production (highly sour) at a stable plateau rate, maximizing oil rim recovery and production is the main objective of the presented study. This is challenging as all wells are pre-drilled as per FDP recommendation and any later development optimization is expected to be difficult and costly. Newly available static (seismic, well log, borehole images) and dynamic (well test) data were utilized in a decision driven modelling approach to update existing static and dynamic models to confirm the robustness of subsurface development decisions, oil production promises and EUR. Updated structural and property modeling results were utilized to optimize placement of 2/3 of the remaining wells in order to improve drainage. Reservoir rock typing and fracture interpretation, along with cased-hole surveillance data acquired in all wells, were used to optimize production intervals and to confirm the productivity of the different intervals (dolostone/ limestone/ fractures); which were then integrated to confirm the perforation strategy going forward. This study describes the first development of Khuff carbonates in Sultanate of Oman, with limited historical production data and no analogues in Sultanate of Oman. The study highlights the importance of continuous integration of new data in a decision driven modelling approach to ensure robustness of project decisions with timely project adjustments to prevent NPV erosion.
机译:伊伯瓦领域的Khuff形成目前正在进行PDO中最大的现场开发活动之一。虽然主要项目驾驶员正在以稳定的高原速率保护天然气生产(高度酸),但最大化石油轮辋恢复和生产是本研究的主要目标。这是具有挑战性,因为根据FDP推荐,所有井都预先钻探,并且任何后来的开发优化都预计困难且昂贵。新可用的静态(地震,井数,钻孔图像)和动态(井测试)数据以决策驱动的建模方法利用,以更新现有的静态和动态模型,以确认地下开发决策的稳健性,石油生产承诺和欧元。更新的结构和性能建模结果用于优化2/3的剩余井的放置,以改善排水。储层岩石打字和骨折解释以及在所有井中获得的套孔监测数据,用于优化生产间隔,并确认不同间隔的生产率(Dolostone /石灰石/骨折);然后整合到确认穿孔策略前进。本研究描述了阿曼苏丹酸盐的第一次发展,历史生产数据有限,阿曼苏丹酸盐没有类似物。该研究强调了在决策驱动的建模方法中持续整合新数据的重要性,以确保项目决策的鲁棒性及时的项目调整,以防止NPV侵蚀。

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