Zhao Wen, Jia Chengzao, Song Yan, Li Xiangfang, Hou Lianhua, Jiang Lin, Lu Xuesong
Research Institute of Petroleum Exploration and Development, PetroChina, Beijing 100083, PR China.
Research Institute of Petroleum Exploration and Development, PetroChina, Beijing 100083, PR China; PetroChina Company Ltd, Beijing 100011, China.
Adv Colloid Interface Sci. 2025 Aug;342:103523. doi: 10.1016/j.cis.2025.103523. Epub 2025 Apr 27.
The simulation of hydrocarbon migration and accumulation is critical for understanding petroleum systems, yet existing methods face significant limitations, particularly in unconventional reservoirs. Traditional physical experiments are constrained by scale, complexity, and difficulty in reproducing real subsurface conditions, while conventional numerical simulation models struggle to capture the multi-scale dynamics of fluid flow in low-permeability formations. Many current approaches fail to incorporate key microscopic mechanisms, such as capillary effects, wettability alterations, and multi-phase interactions, leading to inaccuracies in predicting hydrocarbon accumulation. To address these challenges, this study provides a comprehensive review of HMA simulation techniques and proposes a novel multi-scale quantitative numerical simulation method. The approach integrates the lattice Boltzmann method for pore-scale fluid dynamics, pore network modeling for core-scale characterization, and geological modeling methods for reservoir-scale simulations. The results demonstrate that wettability, influenced by high-temperature and high-pressure conditions, plays a critical role in hydrocarbon accumulation by reducing capillary pressure and enhancing migration efficiency. This integrated framework significantly improves the accuracy and predictive capability of HMA simulations, offering a more reliable methodology for unconventional resource exploration and development.
烃类运移和聚集的模拟对于理解石油系统至关重要,但现有方法存在显著局限性,尤其是在非常规油藏中。传统物理实验受到规模、复杂性以及再现真实地下条件难度的限制,而传统数值模拟模型难以捕捉低渗透地层中流体流动的多尺度动态。许多当前方法未能纳入关键的微观机制,如毛细管效应、润湿性改变和多相相互作用,导致预测烃类聚集时出现不准确情况。为应对这些挑战,本研究对烃类运移和聚集(HMA)模拟技术进行了全面综述,并提出了一种新颖的多尺度定量数值模拟方法。该方法整合了用于孔隙尺度流体动力学的格子玻尔兹曼方法、用于岩心尺度表征的孔隙网络建模以及用于油藏尺度模拟的地质建模方法。结果表明,受高温高压条件影响的润湿性通过降低毛细管压力和提高运移效率,在烃类聚集中起着关键作用。这种综合框架显著提高了HMA模拟的准确性和预测能力,为非常规资源勘探和开发提供了一种更可靠的方法。