欧洲应用科学、工程和技术期刊》 www.ejaset.com 26 根据储层流体样本实验室实验构建布拉-达尼兹天然气凝析气田数值 PVT 模型

Mehdi Huseynov, Natig Hamidov, J. Eyvazov
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引用次数: 0

摘要

PVT 分析对于整个油田的优化和开发非常重要。这是因为我们必须了解流体从储层到生产和加工设施,最终到炼油厂的整体行为。现代计算机软件使用状态方程(EOS)模型来模拟实验并说明流体相位特征,这促使其发展成为一个独特的研究领域。为了找到能以最低可行成本获得最大表面液体含量并延长生产高原持续时间的操作参数,需要进行 PVT 模拟。这些模拟利用实验室数据对 EOS 模型进行微调,并将结果纳入储层模拟和研究中。数据的质量对于 EOS 与实验室数据的良好匹配至关重要,而对于逆行气体凝析物来说,由于其复杂的相态行为,这一点尤为困难。在储层模拟中使用时,不适当的匹配会导致计算错误和不具代表性的结果,从而危及储层管理决策。
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European Journal of Applied Science, Engineering and Technology www.ejaset.com 26 Construction of Numerical PVT-Models for the Bulla-Daniz Gas-Condensate Field Based on Laboratory Experiments on Reservoir Fluid Samples
PVT analysis is important for field-wide optimization and development. This is because we must understand the fluid's overall behavior from the reservoir to the production and processing facilities, and ultimately to the refinery. Modern computer software that uses equation of state (EOS) models to simulate experiments and illustrate fluid phase characteristics has contributed to its growth as a distinct field of study. To find the operating parameters that will maximize the surface liquid content and prolong the production plateau duration at the lowest feasible cost, PVT simulations are run. These simulations employ laboratory-derived data to fine-tune the EOS models, with the outcomes being integrated into reservoir simulation and research. The quality of the data is crucial to getting a good match between EOS and laboratory data, and for retrograde gas condensates, this can be particularly difficult because of their complex phase behavior. When utilized in reservoir simulations, an inadequate match leads to computational mistakes and unrepresentative findings, endangering the reservoir management decisions that depend on it.
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