评估孔隙弹性生产驱动机制:量化对井速的潜在贡献和岩心处理损害的风险,膨胀孔隙体积压缩性测量

Ruud Weijermars
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引用次数: 0

摘要

通过分析墨西哥湾海上油藏的岩心数据并开发分析解决方案,可以证明孔隙体积压缩性的实验室测量结果存在伪影,从而导致对孔隙度和渗透率趋势的错误解释。对孔隙体积孔隙弹性变化的系统评价(以及对储层压实过程中随之产生的流体排出量进行量化)表明,孔隙弹性松弛可能使深层储层的产液率提高25%。如果用于孔隙体积压缩性测量的岩心样品受到处理损坏,则该值可能会无意中膨胀。尽管如此,从生产油藏孔隙中排出的孔隙弹性流体可以提供额外的举升,从而可以提高采收率。因此,在储量估计中应该仔细评估孔隙弹性生产驱动机制对油井性能的可能贡献。相反,由于弹性阻力,注水井可能会遇到孔隙弹性抑制注入能力的问题,这将对储层系数产生不利影响。通过将储层地质力学响应与传统的流体生产模型相结合,储层模型在压力耗尽和注入条件下的产量预测将更加准确。本文报道的新见解对于优化油井性能、改善油藏管理和延长地质油藏的经济寿命至关重要。然而,对于孔隙体积压缩性的测量需要谨慎。孔体积压缩率的实验室测量在多大程度上测量了真实值或主要记录了处理损伤,目前的研究还不能确定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Evaluating poro-elastic production drive mechanisms: Quantifying the potential contribution to well-rates and risk of core handling damage inflating pore-volume compressibility measurements

Evaluating poro-elastic production drive mechanisms: Quantifying the potential contribution to well-rates and risk of core handling damage inflating pore-volume compressibility measurements
By analyzing core data from an offshore Gulf of Mexico reservoir and developing analytical solutions, it can be demonstrated that laboratory measurements on pore-volume compressibility include artifacts, leading to a misinterpretation of porosity and permeability trends. A systematic evaluation of poro-elastic changes in pore volumes (and quantifying any consequent fluid expulsion during reservoir compaction) suggests that poro-elastic relaxation may enhance fluid production rates from deep reservoirs by up to 25 %. This value may be inadvertently inflated if the core samples used for pore-volume compressibility measurements suffered from handling damage. Nonetheless, poro-elastic fluid expulsion from the pores in producing reservoirs can provide additional lift and thus may enhance the recovery factor. Therefore, the possible contribution to well performance from poro-elastic production drive mechanisms ought to be carefully evaluated in reserves estimation. Reversely, injection wells may encounter poro-elastic suppression of injectivity due to elastic resistance, which would adversely affect the storage coefficient. By integrating geomechanical reservoir response with traditional fluid production models, reservoir model predictions of production under pressure depletion and injection conditions will be more accurate. The new insights reported here are essential for optimizing well performance, improving reservoir management, and extending the economic life of geological reservoirs. However, caution is warranted regarding pore-volume compressibility measurements. To what degree laboratory measurements of pore-volume compressibility measure true values or mainly record handling damage could not be conclusively settled in the present study.
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