Field Development Optimization of Haynesville Shale Wells

S. Morsy, M. McClure, G. Fowler, D. Ratcliff
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Abstract

Field development relies on understanding geological changes across a shale asset, adopting a successful landing zone strategy, and optimizing completion designs specific to each landing zone. Different areas may require different landing zone strategies or completion designs as a function of lithological and geological changes across the asset. Depletion effects also impact optimal landing and completion designs among pads. Therefore, a comprehensive field development plan is needed to address uncertainties and challenges that are associated with shale well development. In this study, a simulation model is calibrated against field data, and then used for field development optimization. The plan first screens a wide range of development scenarios that include different landing strategies, frac zippering order, fluid intensity, proppant loading, cluster spacing, stage length, well spacing, and depletion levels. The screening is helpful to narrow the list of the key effective parameters to optimize. Tornado charts reveal relative importance of all tested parameters. The results reveal that, within the constraints of this particular study, stage length has largest impact on estimated ultimate recovery (EUR). Well spacing, landing, and fluid loading have a moderate effect. Proppant loading has the least impact. The majority of EUR uplift is associated with higher fluid intensity, shorter stage length, and wider well spacing. Optimal stage length is shown to change as a function of landing depth and is related to geology, geomechanics, and stress shadowing. All tested scenarios provide different EURs, with different economic outcomes. Opportunity charts are used to identify the most economic field development scenarios. The best opportunities provide similar or higher EUR as of the current base design, but at a lower cost and/or higher rate of return. The best economical cases were recommended for field trials.
Haynesville页岩井开发优化
油田开发依赖于了解整个页岩资产的地质变化,采用成功的着陆层策略,并针对每个着陆层优化完井设计。由于整个资产的岩性和地质变化,不同的区域可能需要不同的着陆区策略或完井设计。损耗效应也会影响垫层之间的最佳着陆和完井设计。因此,需要制定一个全面的油田开发计划,以应对页岩井开发中的不确定性和挑战。在本研究中,模拟模型根据现场数据进行校准,然后用于油田开发优化。该计划首先筛选了一系列开发方案,包括不同的着陆策略、压裂拉紧顺序、流体强度、支撑剂加载、簇间距、级长、井距和枯竭程度。筛选有助于缩小关键有效参数列表进行优化。龙卷风图表显示了所有测试参数的相对重要性。结果表明,在本研究的约束下,段长对估计的最终采收率(EUR)影响最大。井距、着陆和流体载荷的影响一般。支撑剂载荷的影响最小。大部分EUR隆起与较高的流体强度、较短的段长和较宽的井距有关。最佳分段长度随着着陆深度的变化而变化,并与地质、地质力学和应力阴影有关。所有测试的场景都提供了不同的欧元,具有不同的经济结果。机会图用于确定最经济的油田开发方案。最好的机会提供与当前基础设计相似或更高的欧元,但成本较低和/或回报率较高。推荐最经济的案例进行田间试验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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