水库

油井测试-2024

随着运营商不断认识到了解和监测油藏动态性能的价值,近期试井活动和兴趣有所增加。

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作为一年中最短的月份,二月还以JPT的试井技术聚焦为特色,回顾了有关该主题的最新行业出版物。随着运营商不断认识到了解和监测油藏动态性能的价值,近期试井活动和兴趣有所增加。无论是涉及常规石油和天然气的输送能力还是碳捕获和封存的封存潜力,大规模动态数据仍然是地下难题中最令人垂涎​​的部分之一。

储层表征没有灵丹妙药。相反,正确的表征始终是整合以不同尺度收集的静态和动态数据以及宏观地质理解的结果。

技术有助于收集上述数据。随着最新技术突破了所能实现的极限,地下工程师必须严格评估哪些储层表征技术和工具适合项目目标。地层测试 (FT) 平台为操作员提供了多种选择,可以让操作员首先了解动态油藏性能,并且几乎总是在试井之前进行。在消化完字母汤中的缩略词后,存在如此多的 FT 选项,以至于人们可能会遇到心理学家所说的“选择过载”。FT 的目标也可能开始与传统上为演习测试 (DST) 保留的目标重叠,从而缩小了长期的选择范围。 - 长期存在的技术差距。当前 FT 工具的进步令人兴奋,使用 FT 工具执行“ini-DST”可以实现出色的营销。然而,“迷你”可能意味着产量减少多达 10,000 倍,这无疑会影响被认为重叠的目标。

通过定义明确的目标并执行数据收集计划来减少不确定性,可以减轻地下复杂性。在选择如何动态测试水库时应谨慎。无论硬件变得多么先进,可实现的目标始终取决于岩石和流体特性、储层几何形状以及当地监管和环境考虑等关键因素。

本月的论文重点介绍了嵌套学科不同领域的持续发展。

深入研究从前沿碳捕获、利用和封存项目中汲取的宝贵经验教训,并以令人印象深刻的数据集和对多相效应的深入审查为支持。该案例研究涵盖了井眼区域周围的不同饱和度和作业中的流体类型,应该具有全球应用性。

了解压力瞬态分析中非等温效应的局限性和潜在缺陷,这对地热井储层表征提出了挑战。对储层岩石性质的热效应的敏感性提供了有趣的见解。完井效率也可能受到热效应的影响,导致砂面额外的压降。

最后,使用功能强大的新型 FT 工具来赶上最近添加到经过良好测试的武器库中的一种武器,这些工具具有行业改进功能,可实现更大的灵活性和更高的数据可靠性。

本月的技术论文

CO2注入测试证明CCUS油田开发理念

动态仿真平台助力深度瞬态测试,井控安全

储层模拟预测冷水注入对地热 PTA 的影响

推荐补充阅读

OTC 32610 复杂领域中的多相流量计比较, 作者:Saudi Aramco 的 Mohammed Alqahtani 等人。

IPTC 23050 间隔压力瞬态测试中的常见问题以及深度瞬态测试的下一步,作者:Saifon Daungkaew、SLB 等人。

Jeffrey Gagnon, SPE,是埃克森美孚瞬态试井主题专家。他和他的团队负责监督埃克森美孚的全球勘探和评估测试(包括设计和规划、现场运营监督以及数据解释和集成),同时支持生产资产的压力瞬态分析。Gagnon 与人合着了有关储层表征和模拟的 SPE 手稿。他分别拥有罗伯特戈登大学和德克萨斯农工大学石油工程硕士学位和硕士学位,以及新罕布什尔大学土木工程学士学位。Gagnon 是JPT编辑审查委员会的成员,可以通过jeffrey.gagnon@exxonmobil.com联系。

原文链接/jpt
Reservoir

Well Testing-2024

Well testing has enjoyed a recent uptick in activity and interest as operators continually realize the value in understanding and monitoring the dynamic performance of their reservoirs.

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Standing alone as the shortest month of the year, February also features JPT’s Well Testing Technology Focus, reviewing the latest industry publications on the subject. Well testing has enjoyed a recent uptick in activity and interest as operators continually realize the value in understanding and monitoring the dynamic performance of their reservoirs. Whether it pertains to the deliverability of conventional oil and gas or the storage potential for carbon capture and storage, large-scale dynamic data remains one of the more coveted pieces to the subsurface puzzle.

There is no silver bullet for reservoir characterization. Instead, proper characterization will always be the result of integrating static and dynamic data, collected at varying scales, with a macro geological understanding.

Technology facilitates the collection of the aforementioned data. With the latest technologies pushing limits of what can be achieved, subsurface engineers must rigorously evaluate what reservoir characterization techniques and tools are suited for project objectives. Formation testing (FT) platforms provide many options for operators to get a first look at dynamic reservoir performance and nearly always precede a well test. After digesting the alphabet soup of acronyms, so many FT options exist that one may encounter what psychologists refer to as “choice overload.” FT objectives also may begin to overlap with objectives traditionally reserved for drillstem tests (DSTs), narrowing a long-standing technology gap. The current advances in FT tools are exciting, and using FT tools to perform a “mini-DST” makes for brilliant marketing. However, “mini” could mean up to 10,000 times less produced volume, which undoubtedly affects objectives thought to overlap.

Subsurface complexity is mitigated by defining clear objectives and executing data-collection programs to reduce uncertainty. Caution should be taken in selecting how to dynamically test your reservoirs. Regardless of how advanced hardware becomes, achievable objectives always will be dependent on key factors such as rock and fluid properties, reservoir geometry, and local regulatory and environmental considerations.

This month’s papers highlight ongoing developments from different segments of the well‑testing discipline.

Dive into valuable lessons learned from a frontier carbon capture, use, and storage project, backed by an impressively sized data set and an in‑depth review of multiphase effects. This case study covers differing saturations around the wellbore region and fluid types in operations and should have global applications.

Learn about the limitations and potential pitfalls of nonisothermal effects in pressure transient analysis, which pose challenges in the reservoir characterization of geothermal wells. Sensitivities to thermal effects on reservoir rock properties provide intriguing insights. Completion efficiency also may be affected by thermal effects, resulting in additional pressure drop at sandface.

Finally, catch up on one of the weapons most recently added to the well-testing arsenal with powerful new FT tools that feature industry improvements for greater flexibility and improved data reliability.

This Month’s Technical Papers

CO2 Injectivity Test Proves Concept of CCUS Field Development

Dynamic Simulation Platform Aids Deep Transient Tests, Well-Control Safety

Reservoir Modeling Predicts Effect of Cold-Water Injection on Geothermal PTA

Recommended Additional Reading

OTC 32610 Multiphase Flowmeter Comparison in a Complex Field by Mohammed Alqahtani, Saudi Aramco, et al.

IPTC 23050 Frequently Asked Questions in the Interval Pressure Transient Test and What Is Next With Deep Transient Testby Saifon Daungkaew, SLB, et al.

Jeffrey Gagnon, SPE, is a subject-matter expert of transient well testing at ExxonMobil. He and his team oversee ExxonMobil’s worldwide exploration and appraisal testing (including design and planning, onsite operations supervision, and data interpretation and integration) while supporting pressure transient analysis for producing assets. Gagnon has co-authored SPE manuscripts regarding reservoir characterization and simulation. He holds MS and ME degrees in petroleum engineering from Robert Gordon University and Texas A&M University, respectively, and an undergraduate degree in civil engineering from the University of New Hampshire. Gagnon is a member of the JPT Editorial Review Board and can be reached at jeffrey.gagnon@exxonmobil.com.