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An Integrated Probabilistic Workflow For Primary And Thermal Performance Prediction Of A Large Extra-Heavy Oil Field

机译:大超重油田的初级和热性能预测的综合概率工作流程

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Extra-heavy oil (XHO) reservoirs in South America represent some of the largest hydrocarbon accumulations (> 500 billion barrels) in the world. Primary production using long horizontal wells is a commercially proven technology for XHO reservoirs. The expected ultimate recovery with primary production is generally limited to less than 12% of original-oil-in-place (OOIP) and thermal EOR is critical for increasing recovery to 30-60% OOIP. Economic and environmentally viable thermal development of these reservoirs will require the use of horizontal steam injectors. Our results reveal that a continuous steam injection with a horizontal injector placed vertically above a horizontal producer (CSI-HIHP) is a very effective method for XHO reservoirs, with high peak oil rate and significantly high recovery. This study, first of its kind for an XHO reservoir, outlines an integrated workflow to evaluate production potential of a large XHO green-field using primary production followed by thermal exploitation. The workflow, based on a probabilistic framework (involving designs of experiments, proxy methods and Monte Carlo simulations), evaluates reservoir performance for the whole lifecycle of the field under a range of uncertainties and quantifies the impact of key parameters affecting the reservoir performance. XHO reservoirs usually have significantly higher pressures than those of typical conventional heavy oil reservoirs, where continuous steam injection (CSI) has been applied commercially. Therefore, pressure in these reservoirs must be reduced before CSI can begin. Cyclic-steam-stimulation (CSS) after initial stage of primary production can be used to accelerate pressure reduction in the reservoir, while providing additional recovery. Our results demonstrate that geological features such as shale baffles have a significant impact on delaying pressure reduction during primary and CSS. In all the cases investigated, primary production for one year followed by CSS for four years has been found to be successful in reducing pressure to the target pressure for CSI. High pressure-drop in the horizontal steam injector can cause pressure near the toe region of the injector to be lower than the producer pressure. This results in poor steam injection and poor steam-chest development in that region, thus, greatly reducing efficiency of the thermal recovery process. We quantify pressure drop in a horizontal steam injector and its impact on the thermal performance and suggest a novel well configuration that uses two injectors for every long producer during CSI. The proposed configuration with a sequential development plan can significantly improve economics of the projects. A novel probabilistic workflow for a full-field development plan (primary, CSS and CSI) of XHO reservoirs provides robust production forecast over the entire lifecycle. The workflow developed and the insights obtained would be very valuable in preparing effective exploitation plans and optimal facility design, a key economic variable in large projects of developing giant XHO reservoirs.
机译:在南美超重油(XHO)水库代表了世界上最大的油气藏(:> 500个十亿桶)的。使用长水平井的初级生产是一种商业上的成熟技术为XHO水库。与初级生产预期的最终恢复通常被限制在原始油地质储量(OOIP)和热EOR的小于12%是用于提高回收到30-60%OOIP关键的。这些水库的经济和环境上可行的热开发将需要使用卧式蒸汽喷射器。我们的结果表明,连续的蒸汽注射上方的水平生产者(CSI-HIHP)垂直放置的水平喷射器是用于XHO储层的非常有效的方法,以高的峰值油率和显著高回收率。这项研究,首创了一个XHO水库,勾勒出一个集成的工作流程,以评估使用初级生产,随后热利用大XHO绿色领域的生产潜力。工作流,基于概率框架(涉及的实验中,代理方法和Monte Carlo模拟设计),评估水库领域的下一个范围的不确定性的整个生命周期的性能和量化影响储层性能的关键参数的影响。 XHO储层通常具有比典型的常规的重油储层,在那里连续的蒸汽喷射(CSI)已经在商业上应用的显著更高的压力。因此,在这些水库的压力必须降低之前CSI可以开始。循环蒸汽刺激(CSS)后初级生产的初始阶段可用于加速该储层压力降低,同时提供额外的恢复。我们的研究结果表明,地质特征,如页岩挡板对在小学和CSS延迟减压一个显著的影响。在所有的情况调查,其次是CSS四年期为一年的初级生产已被发现能够成功地减少压力对CSI的目标压力。高压力降在水平蒸汽喷射器能引起喷射器的脚趾区域附近的压力为比生产者压力低。这个结果在蒸汽注入差和差的蒸汽胸部发育在该区域中,从而,大大降低了热回收过程的效率。我们量化水平蒸汽喷射器及其对散热性能的影响压降,并提出一个新的井身结构,它使用两个喷油器的CSI过程中每一段生产商。用连续的发展计划所提出的配置可以显著提高项目的经济性。对于XHO储层的全油田开发规划(伯,CSS和CSI)一种新颖的概率工作流提供了强大的生产预测在整个生命周期。工作流开发中获得的认识将是准备有效开发计划和优化设施设计,开发巨头XHO水库大项目的一个关键变量的经济非常有价值的。

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