Numerical RTA Extended to Complex Fracture Systems: Part 2

Carlsen Mathias Lia, Whitson Curtis Hays
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Abstract

This paper is a continuation of the work presented in URTeC 3718584 (Carlsen & Whitson, 2022), and focuses on practical usage of ‘fractional RTA’ theory when applied to both simulated data and field data from the SPE data repository. Most of the theory presented in Part 1 is kept for completeness. An inherent assumption in most industry RTA is equally spaced fractures. However, as shown in several field studies (Raterman 2017, Gale 2018), the distance between individual fractures tends to be unevenly spaced along the wellbore (e.g., "fracture swarms"). In this paper, we extend the original numerical RTA workflow proposed by Bowie and Ewert (2020) to account for uneven fracture spacing. Acuna's (2016, 2020) heterogeneity parameter, delta (δ), is introduced to generalize the linear flow parameter (LFP) to account for complex fracture systems (LFP’ = Akδϕ1-δ = 4nfhxfkδϕ1-δ). For evenly spaced fractures, δ = 0.5, simplifying LFP’ to the familiar LFP = A√k = 4nfhxf√k. For uneven fracture systems, 0 ≤ δ ≤ 0.5. With known (a) well geometry, (b) fluid initialization (PVT and water saturation), (c) relative permeability relations, and (d) bottomhole pressure (BHP) time variation (above and below saturation pressure), three fundamental relationships exist in terms of LFP' and OOIP. Numerical reservoir simulation is used to define these relationships, providing the foundation for numerical RTA, also wells with complex fracture systems. Namely, that wells: (1) with the same value of LFP', the gas, oil and water surface rates will be identical during infinite-acting (IA) behavior; (2) with the same ratio LFP'/OOIP, producing GOR and water cut behavior will be identical for all times, IA and boundary dominated (BD); and (3) with the same values of LFP' and OOIP, rate performance of gas, oil, and water will be identical for all times, IA and BD. These observations lead to an efficient, semi-automated process to perform rigorous RTA, assisted by a symmetry element numerical model. The numerical RTA workflow proposed by Bowie and Ewert solves the inherent problems associated with complex superposition and multiphase flow effects involving time and spatial changes in pressure, compositions and PVT properties, saturations, and complex phase mobilities. This paper extends the approach to complex fracture systems that can be described by the Acuna parameter δ. Numerical RTA workflow decouples multiphase flow data (PVT, initial saturations and relative permeabilities) from well geometry and petrophysical properties (L, xf, h, nf, φ, k, δ), providing a rigorous yet efficient and semi-automated approach to define production performance for many wells. Contributions include a technical framework to perform numerical RTA for unconventional wells, irrespective of fracture spacing. Semi-analytical models, time, and spatial superposition (convolution), pseudopressure and pseudotime transforms are not required.
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数值RTA扩展到复杂断裂系统:第2部分
本文是URTeC 3718584 (Carlsen & Whitson, 2022)中提出的工作的延续,重点关注“分数RTA”理论在应用于SPE数据存储库中的模拟数据和现场数据时的实际应用。第1部分中介绍的大部分理论都是为了完整而保留的。大多数工业RTA的固有假设是等间距裂缝。然而,正如几项现场研究(Raterman 2017, Gale 2018)所示,单个裂缝之间的距离往往沿井筒分布不均匀(例如“裂缝群”)。在本文中,我们扩展了Bowie和Ewert(2020)提出的原始数值RTA工作流,以考虑裂缝间距不均匀。Acuna(2016, 2020)的非均质性参数δ (δ)被引入来推广线性流动参数(LFP),以解释复杂的裂缝系统(LFP ' = Akδϕ1-δ = 4nfhxfkδϕ1-δ)。对于均匀裂缝,δ = 0.5,将LFP '简化为我们熟悉的LFP = A√k = 4nfhxf√k。对于不均匀裂缝系统,0≤δ≤0.5。已知(a)井的几何形状,(b)流体初始化(PVT和含水饱和度),(c)相对渗透率关系,(d)井底压力(BHP)时间变化(高于和低于饱和压力),LFP'和OOIP之间存在三个基本关系。数值油藏模拟用于定义这些关系,为数值RTA以及具有复杂裂缝系统的井提供了基础。即:(1)LFP′值相同的井,在无限作用(IA)过程中,气、油、水的表面速率相同;(2)在LFP′/OOIP相同的情况下,所有时间的产油比和含水行为都是相同的,IA和边界主导(BD);(3)在LFP′和OOIP值相同的情况下,气、油和水的速率性能在所有时间(IA和BD)都是相同的。这些观察结果导致了一个高效的、半自动化的过程,可以在对称元素数值模型的辅助下执行严格的RTA。Bowie和Ewert提出的数值RTA工作流解决了与复杂叠加和多相流效应相关的固有问题,涉及压力、成分和PVT特性、饱和度以及复杂相迁移率的时间和空间变化。本文将该方法扩展到可以用Acuna参数δ描述的复杂裂缝系统。数值RTA工作流将多相流数据(PVT、初始饱和度和相对渗透率)与井的几何形状和岩石物理性质(L、xf、h、nf、φ、k、δ)解耦,为许多井的生产动态提供了一种严格而高效的半自动化方法。贡献包括对非常规井进行数值RTA的技术框架,无论裂缝间距如何。不需要半解析模型、时间和空间叠加(卷积)、伪压力和伪时间变换。
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