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A Semianalytical Method for Modeling Two-phase Flow in Coalbed Methane Reservoirs with Complex Fracture Networks

机译:复杂骨折网络中煤层气储层两相流模拟两相流的半阳性方法

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Coalbed methane (CBM) reservoirs are naturally fractured formations with face cleats and butt cleats surrounding the coal matrix. Analyzing and predicting CBM production performance is challenging, especially for early production time, because of the complex fracture networks and gas/water two phase flow. In this study, we develop an efficient semianalytical model to predict gas and water production in CBM reservoirs. The node-analysis method is used to discretize the complex fracture networks into small fracture segments. We use the superposition principle to consider the interactions between fracture segments. In addition, we incorporate the critical gas flow mechanisms such as gas desorption and diffusion in our model. A two-phase flow mechanism is considered by iteratively correcting the relative permeability to gas and water and capillary pressure for each fracture segment. Subsequently, we verify this method against a numerical reservoir simulator for scenarios with bi-wing fractures. Furthermore, we apply the model to quantify the effects of various parameters on the gas and water production performance, including matrix parameters, fracture parameters, gas transport mechanism and fracture network complexity. Modeling result shows that the peak gas value increases with matrix permeability, matrix porosity, fracture conductivity, desorption capacities, and diffusivity coefficient. Furthermore, free gas plays the significant role at early stage, adsorption phase gas becoming the dominant flow behavior at later production time. The improved connections between hydraulic fracture and cleats can enhance the gas production and shorten the dewatering time. Face cleat is the major reason of increasing the cumulative gas production and butt cleat plays important role of increasing the peak gas value and shortening the dewatering time. Due to the intensified fracture interferences in the network with the production time, the advantages of complex fracture network is decreasing. Maximizing the fracture complexity through generating large connected networks is an effective way to increase gas production. This work, for the first time, presents an accurate and fast semianalytical model to perform the two-phase flow of gas and water in CBM wells with complex fracture networks. The approach is easier to setup and less data-intensive than using a numerical reservoir simulator. To consider the recent interests in development of unconventional gas reservoirs, our approach provides a promising technique for better understanding the stimulation effectiveness in CBM reservoirs with complex fracture networks.
机译:煤层甲烷(CBM)储层是天然裂缝的形成,具有煤基质周围的脸部夹板和对接夹板。分析和预测CBM生产性能具有挑战性,特别是对于早期生产时间,因为复杂的骨折网络和气体/水两相流动。在这项研究中,我们开发了一种高效的半角质模型,以预测CBM水库的天然气和水产。节点分析方法用于将复杂的裂缝网络离散到小的断裂段中。我们使用叠加原理考虑骨折部分之间的相互作用。此外,我们纳入了临界气体流量机制,例如我们模型中的天然气解吸和扩散。通过迭代地校正每个裂缝段的气体和水和毛细管压力的相对渗透性来考虑两相流动机理。随后,我们将这种方法验证了与双翼骨折的情景的数值水库模拟器。此外,我们应用模型来量化各种参数对天然气和水生产性能的影响,包括矩阵参数,断裂参数,气体传输机制和裂缝网络复杂性。建模结果表明,峰值气体值随矩阵渗透性,基质孔隙率,断裂导电性,解吸能力和扩散系数而增加。此外,自由气在早期发挥着重要作用,吸附期气体成为后期生产时间的主要流动行为。液压骨折和夹板之间的改进连接可以增强气体生产并缩短脱水时间。面板是增加累积气体生产和对接夹板的主要原因,抗击钉在增加峰值气体值并缩短脱水时间的重要作用。由于网络中的强化骨折干扰具有生产时间,复杂骨折网络的优点是降低。通过产生大连接网络最大化裂缝复杂性是增加天然气生产的有效方法。这项工作首次提出了一种准确而快速的半角质模型,以在CBM孔中进行复杂的裂缝网络中的煤气和水的两相流。该方法更容易设置,而不是使用数字储库模拟器的数据密集较少。要考虑最近在非传统气体储层发展的利益,我们的方法提供了一种有希望的技术,以便更好地了解CBM储层中的刺激效果,复杂的骨折网络。

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