通过试点学习优化大气顶开发计划,显著节约成本

Pawan Agrawal, O. Keshtta, E. Draoui
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摘要

该油田位于阿布扎比海上,是一个由多层储层组成的巨型非均质碳酸盐岩油田。它由一个非常大的富气顶和油环组成。目前的开发方案是油环采油,外围注水,顶部注气。该油田的长期开发计划“LTDP”包括油环(通过在GOC注水)和气顶(通过部分天然气回收)的共同开发,以最大限度地提高石油、凝析油和天然气的价值。LTDP的详细信息见参考文献7。为了进一步实现凝析油价值最大化,中期计划是通过位于构造下端的气顶产气器生产富气,通过位于顶部的注气器注入干气来完成天然气的再循环。为了降低中期计划的风险,在一个高产储层中进行了气顶生产试点。产气井试点的主要目标是降低CGR的不确定性,评估气井产能,评估油环产气影响。本文通过对气顶试验资料的学习,从井数、轨迹、位置、完井等方面对气顶开发进行了优化。文献资料表明,在露点压力下,凝析气藏在井筒周围形成凝析气库,有效降低了相对渗透率和气井容量。近井筒区域的流动也受到与饱和度相关的惯性力(非达西流)的影响。另一方面,在毛细管数较高时,气体相对渗透率的提高抵消了PI的降低。所有这些影响都在气顶开发中得到了考虑。利用从全油田模型中提取的拟合扇区模型,对直井、斜井和水平井等不同井眼轨迹的非达西效应、凝析油堵塞和高毛细数下的相对渗透率提高三种现象进行了研究。根据模拟结果,选择水平井进行先导,最大限度地减少凝析油堵塞、气湍流效应的影响,提高凝析气藏的开采效率。在试验结果的基础上对扇区模型进行了微调,在全场模拟中进一步扩大了扇区模型的规模。基于试验学习井眼轨迹,针对不同流量单元优化了位置和完井,从而显著节省了成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimization Of Large Gas Cap Development Plan Though Pilot Learning Leading to Significant Cost Saving
Field presented here is giant heterogeneous carbonate field consist of multi-stacked reservoirs, located in offshore Abu Dhabi. It consists of a very large rich gas cap with oil rim. Current development plan is oil production from oil rim with peripheral water injection & crestal gas injection. Long Term Development Plan "LTDP" of field consists of co-development of oil rim (through water injection at GOC) and gas cap (through partial gas recycling) to maximize oil, condensate & gas value. Details of LTDP are in Ref. 7. To further maximize condensate value, mid-term plan is complete gas recycling by production of rich gas through gas cap producer located downdip of structure and injection of dry gas through gas injector located in the crest. To de-risk midterm plan, a gas cap producer pilot has been drilled in one of prolific reservoir. Main objectives of gas producer pilot were to reduce uncertainty of CGR, assess gas well capacity & assess gas offtake impact on oil rim. This paper presents optimization of gas cap development in terms of number of wells, trajectory, location & completion based on learning of gas cap pilot. Literature data indicate that below dew point pressure, gas condensate reservoirs exhibit growth of a condensate bank around the wellbore, which effectively reduce the relative permeability to gas flow & well capacity. Flow in near wellbore region is also impacted by saturation dependent inertial forces (non-Darcy flow). On the other hand at high capillary number improvement in gas relative permeability counteracts the PI reduction. All this effects have been considered in gas cap development. In this study using a fit for purpose sector model extracted from full field model, all the three phenomenon's non-Darcy effect, condensate blockage and relative permeability improvement at higher capillary number has been studied for different well trajectories such as vertical well, deviated well and horizontal well. Based on simulation results horizontal well was chosen for piloting to minimize impact of condensate blockage, gas turbulent effect and produce the condensate reservoir more efficiently. Sector model was fine-tuned based on pilot results which were further upscaled in the full field simulation. Based on pilot learning well trajectory, location & completion has been optimized for different flow units which leads to significant cost saving.
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