区间压力瞬变测试(IPTT)常见问题及深度瞬变测试(DTT)的下一步是什么

S. Daungkaew, A. Gisolf, D. Ling
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引用次数: 0

摘要

过去几年,油气行业一直面临挑战。许多流程和操作需要适应部分由COVID-19大流行造成的石油和天然气价格下跌。了解油藏产能和探明储量是制定油藏开发计划(FDP)的关键。然而,获得这些答案的不同过程在很大程度上取决于成本。信息的价值是作业者决定是否继续其发现的一个极其重要的标准。在段间压力瞬变测试(IPTT)中,地层测试仪用于将流体从地层的单点或小段段泵入井筒。感兴趣的区域可以被隔离,一个区域一个区域地单独测试。通过井下泵连续泵送泥浆滤液和储层流体,并使用井下流体分析仪(DFA)监测流体净化过程。泵送后的压力积累可以用与传统试井分析类似的方式进行分析。这种IPTT自1980年代以来就有了;然而,直到21世纪初,IPTT与实际试井和其他渗透率测量数据的比较才得以公布。在过去的20年里,IPTT被广泛使用,特别是与双封隔器结合使用,最近与单封隔器结合使用。运行效率和安全性显著提高。然而,对IPTT获得的瞬态压力的解释并不总是很好地理解。常见问题包括:什么是IPTT或垂直干扰测试(VIT)?如何将IPTT与其他渗透率测量相比较?压力瞬态数据的不同尺度是什么?如何将储层渗透率提升至整个储层?下一步是什么?本文将利用油藏模拟和现场数据来解决这些问题。现场实例来自不同的环境,从浅海到浊积岩再到深水环境,具有不同的流体系统,如黑油、重油、蜡质油、天然气和凝析油。从地理位置上看,现场数据包括东南亚和中东的例子。通过预试、IPTT、核磁共振(NMR)、岩心分析和试井获得的渗透率将进行比较。近年来,深度瞬态测试(DTT)技术在工业上得到了应用。与以前的地层测试器相比,使用DTT可以更快、更长时间地进行流动,从而可以在更高渗透率和更厚的地层中进行压力瞬态分析。与智能电缆地层测试平台配合使用的新型高分辨率测量仪进一步提高了数据质量。本文通过几个现场实例对数字地面电视方法进行了综述。最后,相对于测试目标,讨论了不同测试方法的优缺点,旨在提供一种具有成本效益的数据选择方法,以确保足够的FDP输入,并证明相关利益相关者的投资价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Frequently asked Questions in the Interval Pressure Transient Test (IPTT) and what is Next with Deep Transient Test (DTT)
The past few years have been challenging for the oil and gas industry. Many processes and operations have needed to adapt to lower oil and gas prices, caused in part by the COVID-19 pandemic. Understanding reservoir producibility and proving reserves are keys to generating a reservoir field development plan (FDP). However, the different processes to obtain such answers are strongly dependent on cost. The value of information is an extremely important criterion for operators to decide whether to proceed with their discoveries. In an interval pressure transient test (IPTT), a formation tester is used to pump a fluid from a single point or small interval of the formation into the wellbore. Zones of interest can be isolated and tested separately zone by zone. Mud filtrate and reservoir fluids are pumped continuously using the downhole pump, and a downhole fluid analyzer (DFA) is used to monitor the fluid cleanup process. The post-pumping p pressure buildup can be analyzed in a similar manner to traditional well test analysis. Such IPTT have been available since 1980s; however, comparisons of IPTT to actual well tests and other permeability measurements were rarely published until the early 2000s. IPTT have been widely used in the past 20 years, especially in combination with dual packers, and more recently with single packers. Operation efficiency and safety have improved significantly. However, interpretation of the pressure transient obtained from an IPTT is not always well understood. Frequently asked questions (FAQs) include the following: What is an IPTT or a vertical interference test (VIT)?How does an IPTT compare with other permeability measurements?What are the different scales of pressure transient data?How do we upscale zone permeability to an entire reservoir interval?What is next? This paper will address these questions using both reservoir simulation and field data. The field examples are from different environments, ranging from shallow marine to turbidite to deepwater environments, with different fluid systems, such as black oil, heavy oil, waxy oil, gas, and gas condensate. Geographically, the field data include examples from South East Asia and the Middle East. Permeability obtained from pretests, IPTT, nuclear magnetic resonance (NMR), core analyses, and well testing will be compared. Recently deep transient testing (DTT) has been introduced in the industry. With DTT, we can flow faster and longer than previously possible with formation testers, enabling pressure transient analysis in higher permeability and thicker formation. Further data quality improvements come from new, high-resolution gauges deployed with an intelligent wireline formation testing platform. This paper includes a review of the DTT method with several field examples. Finally, the advantages and disadvantages of the different testing methods are discussed relative to the test objectives, with the intent to provide a cost-effective data selection method to ensure sufficient FDP input and to justify the value of investment to the relevant stakeholder.
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