The complex and unique production mechanism of CBM has been examined extensively; however, production from such reservoirs requires more investigation to be well-understood, predicted and enhanced. This study is aimed at probing the significance of some controlling parameters on CBM performance by a statistical approach.

The relative impact of five CBM reservoir parameters (reservoir pressure, cleat permeability and porosity, Young's modulus and Langmuir pressure) on the performance of natural depletion as well as Enhanced Coalbed Methane (ECBM) were numerically investigated. Recovery factor (RF) for primary depletion and ECBM, original gas in place (OGIP) and CO₂ storage were the investigated responses. In order to conduct the research, a synthetic CBM reservoir model was constructed using a commercial reservoir simulator. Since the effects of reservoir parameters on CBM production are quite complicated, it was intended to explore the potential interaction effects between the parameters along with the relative impact of each parameter. Therefore, a professional statistical software, Design Expert, was selected to determine the parameters' effects.

The results show that while recovery factor value in primary recovery has positive correlations with all of the five parameters, cleat permeability and Langmuir pressure play the most significant roles. For ECBM by CO₂ injection, cleat permeability has the most significant effect on recovery factor measure, followed by cleat porosity. The predicted model for ECBM recovery factor suggests that Young's modulus, opposite to the primary recovery condition, has an adverse relationship with RF and the cleat porosity-permeability interaction has a considerable negative effect on RF measure. The predicted coalbed methane OGIP model proposes that in comparison with pressure and Langmuir pressure, the relative impacts of the other three parameters are negligible. Furthermore, results reveal that CO₂ storage is positively affected by cleat porosity and permeability, and negatively affected by Young's modulus and Langmuir pressure.

煤层气复杂而独特的生产机制已得到广泛研究。然而，从这样的油藏中开采石油需要更多的研究，以便更好地理解，预测和增强。这项研究旨在通过统计方法探讨某些控制参数对煤层气性能的重要性。

数值研究了五个煤层气储层参数（储层压力，夹层渗透率和孔隙度，杨氏模量和朗缪尔压力）对自然耗竭性能以及强化煤层气（ECBM）性能的相对影响。一次消耗和ECBM，原位天然气（OGIP）和CO _2的回收率（RF）存储是调查的反应。为了进行研究，使用商业油藏模拟器构建了一个合成的煤层气油藏模型。由于储层参数对煤层气产量的影响非常复杂，因此打算探索这些参数之间的潜在相互作用效应以及每个参数的相对影响。因此，选择了专业的统计软件“设计专家”来确定参数的效果。

结果表明，虽然初次采收率中的采收率值与所有五个参数均呈正相关，但割理渗透率和朗缪尔压力起着最重要的作用。对于通过CO ₂注入的ECBM，割理渗透率对采收率的影响最大，其次是割理孔隙率。ECBM恢复因子的预测模型表明，与主要恢复条件相反，杨氏模量与RF呈负相关，而割理孔隙度-渗透率相互作用对RF度量有相当大的负面影响。预测的煤层气OGIP模型提出，与压力和Langmuir压力相比，其他三个参数的相对影响可以忽略不计。此外，结果表明，CO ₂ 楔形孔隙度和渗透率对储层有正向影响，杨氏模量和朗缪尔压力对储层有正向影响。