裂缝-溶洞油藏高压循环注水远井筒采油机理研究

SPE Journal Pub Date : 2024-06-01 DOI:10.2118/221464-pa
Beibei Jiang, Guoqiang Zhang, Dong Wang, Jiabo Liu, Haitao Li, Hongwen Luo, Yong Chen, Dong Liu
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引用次数: 0

摘要

在裂缝溶洞油藏注采井中应用高压循环注水技术进行胡喷采油时,有效判断油藏类型、准确计算油藏参数、合理设置高压注水参数是关键,可有效解决由于裂缝溶洞的差异性和空间发育的复杂性导致的注采井采收率低、产油量下降快等问题。然而,由于现有技术体系的不完善,导致无法保证高压循环注水参数设置的合理性和有效性,加之注采井多轮注水采油后的增油评价困难,极大地限制了该技术的深度应用。为了解决这个问题,我们以塔河油田(中国典型的裂缝-溶洞油藏)为例。首先,我们分析了塔河油田众多高压注水指示曲线的形态特征,并采用差异化分类方法提取了四种典型的指示曲线。其次,基于体积平衡方程,建立了两个数学模型--岩溶洞穴注水指示曲线数学模型和裂缝-洞穴注水指示曲线数学模型。最后,通过对这两个数学模型的求解和对提取的四条典型指示曲线所属特征参数的相关性分析,完成注采井的储层类型识别和储层关键参数的定量计算。该技术在 TH1021XX 井的应用表明,该井远井筒原油储量为 69.80×104 m3,互联裂缝活化压力为 6.25 MPa 至 8.25 MPa,经过四轮高压注水采油,实际累计产油量与预测值误差小于 4%。同时,众多油井的误差评估结果均在 10%以内,验证了本文研究成果的有效性和实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Study on the Mechanism of High-Pressure Cyclic Water Injection for Far-Wellbore Oil Extraction in Cracks-Caverns Reservoirs
When applying the high-pressure cyclic water injection technique in injection and production wells belonging to cracks-caverns reservoirs for huff and puff oil production, it is crucial to effectively judge the reservoir type, accurately calculate the reservoir parameters, and reasonably set the high-pressure water injection parameters, which can effectively solve the low recovery efficiency and rapid oil production decline of the injection and production wells due to the differences in cracks and caverns and its complexity in spatial development. However, the imperfection of the existing technical system, resulting in the inability to ensure the rationality and effectiveness of high-pressure cyclic water injection parameter settings, followed by the difficulty in evaluating oil increment of the injection and production wells after multiple rounds of water injection and oil production, greatly limit the deep application of this technique. To solve this problem, we take the Tahe Oilfield (a typical cracks-caverns reservoir in China) as an example. First, we analyze the morphological characteristics of numerous high-pressure water injection indicating curves in Tahe Oilfield, and extract four typical indicating curves using differentiated classification. Second, based on the volume balance equations, we establish two mathematical models—the karst cavern mathematical model of water injection indicating curve and the cracks-caverns mathematical model of water injection indicating curve. Finally, by solving the two mathematic models and the correlation analysis of characteristic parameters belonging to the four extracted typical indicating curves, we can fulfill the reservoir types identification and quantitative calculation of the key reservoir parameters in the injection and production wells. Application of this technique in Well TH1021XX indicates that its far-wellbore crude oil reserves are 69.80×104 m3, its activation pressure of the interconnected fractures ranges from 6.25 MPa to 8.25 MPa, and the error between the actual accumulated oil production and its predictive value is less than 4% after four rounds of high-pressure water injection and oil production. Meanwhile, the error assessment results of numerous wells are all within 10%, which validates the effectiveness and practicality of the research findings in this article.
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