吉姆萨页岩油三维井网-压裂网耦合压裂参数优化研究

Shuiqing Hu , Yue Wu , Yiqun Yan , Tingwang Huo , Ziyi Xu , Yingyan Li , Jixiang He , Wei Zhang , Daobing Wang
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摘要

新疆吉木萨尔页岩油藏甜点勘探涉及通过三维井网和先进的压裂技术创造复杂的裂缝网络,这对页岩油藏的成功开发至关重要。然而,页岩油极低的渗透率和原油有限的天然流动能力带来了巨大挑战。三维井网与人工裂缝网络之间的相互联系,以及压裂参数与裂缝形态之间的关系仍不清楚。本研究侧重于卢卡沟地层的 P2l12-2 和 P2l12-3 层。利用 Petrel 地质工程集成平台和 Kinetix 压裂模块,我们进行了数值模拟,以探索不同甜点的耦合压裂,重点是井网和压裂网耦合。这项研究确定了相关的优化工程参数。研究结果表明,在单井单因素优化过程中,二类油藏的粘度优化范围小于一类油藏。然而,对于其他因素,如注入率、液量、支撑剂浓度、簇数等,II 类储层的优化范围要大于 I 类储层。在对井网进行单因素优化时,井距的增加会导致支撑剂浓度和射孔数量的优化范围增大。在相同井距的情况下,与直接相对的井筒布置相比,交替井筒布置的支撑剂浓度优化范围较小,但射孔数量优化范围较大。此外,本文还对优化范围进行了总结,并提供了相关图表,旨在为现场施工提供指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Parameter optimization study of three-dimensional well network-fracture network coupled fracturing in jimsar shale oil

The exploration of sweet spots in the Jimsar shale oil reservoir in Xinjiang involves creating a complex fracture network through three-dimensional well networks and advanced fracturing technology, crucial for successful shale oil reservoir development. However, the extremely low permeability of shale oil and limited natural flow capacity of crude oil pose significant challenges. The interconnection between three-dimensional well networks and artificial fracture networks, and the relationship between fracturing parameters and fracture morphology, remain unclear. This study focuses on the P2l12−2 and P2l12−3 layers of the Lucaogou Formation. Utilizing the Petrel geological engineering integrated platform and the Kinetix fracturing module, we conducted numerical simulations to explore coupled fracturing in different sweet spots, with a specific emphasis on well network and fracture network coupling. This study identified relevant optimized engineering parameters. Research findings indicate that, during single-well single-factor optimization, the viscosity optimization range for Class II reservoirs is smaller compared to Class I reservoirs. However, for other factors such as injection rate, liquid volume, proppant concentration, cluster count, etc., the optimization ranges are greater for Class II reservoirs than for Class I reservoirs. In the case of single-factor optimization for well networks, increasing well spacing leads to larger optimization ranges for proppant concentration and perforation numbers. Under the same well spacing, an alternating wellbore arrangement results in a smaller optimization range for proppant concentration but a larger range for perforation numbers compared to a directly opposite wellbore arrangement. Additionally, this paper summarizes the optimization ranges and provides relevant tables and figures, aiming to offer guidance for on-site construction.

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