Sensitivity analysis is required for the different geological settings of methane hydrate–bearing reservoirs in order to understand the effects of reservoir parameters (such as permeability, porosity, sediment grain density) as well as the role of production parameters (such as injection rate, injected fluid salinity) during methane production. In this study, a sensitivity analysis was conducted using the one-factor-at-a-time (OFAT) approach of thermal stimulation in a Class 3 reservoir. A 2–D cylindrical grid was chosen such that mesh convergence was reached in both radial and vertical directions. Upon analysis, injection flow rate was obtained to be the most crucial parameter since the process of dissociation was driven thermally and this parameter dictated the net thermal energy supplied to the reservoir. The second most important parameter was identified as permeability in the range of 10mD to 30mD. Incidentally, permeability in the range of 50mD to 100mD was the least crucial parameter. This was because increase of permeability in the lower ranges significantly increased the dissociated methane volume due to improved thermal energy distribution due to improved fluid flow. However, at higher permeability, further improvements in fluid flow did not lead to increased dissociation since the thermal energy was limited by the injection flow rate. Thus, artificially increasing permeability in the hydrate bearing reservoir is crucial up to an optimal permeability value, beyond which the dissociated volume would be limited by the net thermal energy available. Multiple production scenarios were also studied using the huff and puff method with varying injection duration, soaking times and production rates w.r.t their recovery efficiency. The scenario which did not include any soaking stage outperformed all the other scenarios. Also, prolonging the duration of the injection duration exhibited a decline in gas produced. The energy efficiency was calculated for the most optimal scenario, but even that was found to be economically infeasible.

为了了解含甲烷水合物的储层的不同地质环境，需要进行敏感性分析，以便了解储层参数（如渗透率，孔隙度，沉积物颗粒密度）的影响以及生产参数（如注入速率，注入量）的作用甲烷生产过程中的流体盐度）。在这项研究中，使用3类储层中的热刺激一次一因素（OFAT）方法进行了敏感性分析。选择二维圆柱网格，以便在径向和垂直方向都达到网格收敛。经过分析，由于解离过程是由热驱动的，因此注入流速是最关键的参数，该参数决定了提供给储层的净热能。第二个最重要的参数被确定为10mD至30mD的渗透率。顺便提及，在50mD至100mD范围内的磁导率是最不关键的参数。这是因为在较低范围内渗透率的增加由于流体流动性的改善而改善了热能分布，从而显着增加了离解甲烷的体积。但是，在较高的渗透率下，由于热能受到注入流速的限制，流体流动的进一步改善不会导致离解增加。因此，人为地增加含水合物储层中的渗透率对于达到最佳渗透率值至关重要，超过该值时，解离的体积将受到可用净热能的限制。还使用吞吐和吹法研究了多种生产方案，其中注入时间，浸泡时间和生产率随注入效率的变化而变化。不包含任何浸泡阶段的方案比所有其他方案都好。同样，延长注入时间的持续时间显示出产生的气体减少。能量效率是针对最佳方案进行计算的，但即使在经济上也不可行。