以页岩储层为中心的完井

J. Spaid, J. Dahl, R. Dusterhoft, S. Siddiqui, E. Holderby, B. McDaniel
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引用次数: 1

摘要

在北美,从传统储层到致密、以盆地为中心的天然气,再到现在的页岩气,已经导致行业改变了储层性能评估、测量和记录的方式。在传统油藏中,为了确定适当的储量和开发计划,必须对每口井的储层质量进行仔细的检查。然而,对于非常规油藏来说,这些区块的商业化很快就集中在长分支的水平钻井上,并结合了大体积、高速率的多级水力压裂。在这种环境下,完井设计和水力压裂更像是一个统计过程;此外,采用渐进式改进和创新来制定一套通常在整个油田复制的处理方案,而不考虑横向油藏的可变性。根据直井经验,可以通过确定井内最适合射孔的位置来仔细选择裂缝起裂点。然而,在水平井中,分支的位置决定了井中任何地方的裂缝起裂点,因此在非均质页岩区,井分支的地层位置变得至关重要。为了解决这个问题,工程师和地球科学家可以确定最佳完井设计所需的重要参数,然后将地球建模作为一种工具,用于捕获和模拟整个资产的这些属性,从而为钻井、完井和生产操作提供所需的关键信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Shale Reservoir-Centric Completions
In North America, the transition from more conventional reservoirs into tight, basin-centered gas and now source shales has caused the industry to change the way reservoir performance is being assessed, measured, and documented. Historically in conventional reservoirs the reservoir quality was carefully examined on a well by well basis to determine reserves in place and exploitation plans. For unconventional reservoirs, however, the commercializing of such plays quickly became centered on horizontal drilling of long laterals combined with massive volume, high rate multi-stage hydraulic fracturing. In that environment, completion design and hydraulic fracturing have become more of a statistical process; additionally, incremental improvement and innovation are used to create a treatment schedule often replicated across an entire field without consideration of reservoir variability across a lateral. Based upon vertical well experience, the fracture initiation points can be carefully selected by identifying the locations within the well that are best to perforate. In a horizontal well, however, the location of the lateral defines the fracture initiation points anywhere along the well, so the stratigraphic location of the well lateral becomes critical in non-homogeneous shale plays. To address this, engineers and geoscientists can identify important parameters necessary for optimum completion design, and earth modelling can then be used as a tool to capture and model these properties across the asset making critical information available as needed for drilling, completion, and production operations.
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