Carbonate reservoirs usually consist of multiple units each with different degrees of layer-bound fracture density, height, length, and angular scatter. Some units may have finite fracture networks (FFNs), and some others may contain only isolated fractures. FFNs are islands of interconnected fractures within a sea of isolated fractures. The fracture volume can be estimated from the initial surge in production if a wellbore intersects only a single FFN. Combining with fracture density and aperture measurements from borehole images, FFN volume, drainage area, and other relevant attributes can be calculated. If, however, a slanted well intersects an unknown number of FFNs each in a different unit, it is not possible to estimate each FFN fracture volume from initial fracture production. Because the connectivity threshold for initiation of FFNs is not known or cannot be calculated, it is not possible to determine how many FFNs the borehole intersects. One way is to set an arbitrary threshold of fracture connectivity, _𝜆c.

Based on this initial value, a fracture-flow model can be generated and adjusted until the inferred rate time and cumulative time curves converge to observed values. The adjustment is accomplished by changing the number of FFNs using different connectivity threshold 𝜆_c and estimating their size by modifying unknown or uncertain parameters such as fracture aperture. The final model yields the mostly likely number and size of all FFNs and provides an approximate forecast for future production performance.

The ability to match production performance without taking pressure into consideration shows that rate decrease in fractured reservoirs with FFNs is not only related to pressure drawdown but also, perhaps more importantly, to depletion of FFNs starting from the smallest size or the one with highest drainage efficiency.

One drawback of the method is that different numbers of FFNs may have similar inferred production performance and cumulative production. This is an inevitable drawback inherent in most models that must rely on multiple uncertain or unknown parameters. The only way to decrease the range of possible solutions is to decrease the uncertainties in the underlying input parameters. In any case, alternative results may be presented as a range of possible solutions.

碳酸盐岩储层通常由多个单元组成，每个单元具有不同程度的层约束裂缝密度，高度，长度和角散射。一些单元可能具有有限的裂缝网络（FFN），而另一些单元可能仅包含孤立的裂缝。FFN是孤立裂缝海中相互连接的裂缝的孤岛。如果井眼仅与单个FFN相交，则可以根据生产的初始浪涌估算裂缝体积。结合从井眼图像获得的裂缝密度和孔径测量值，可以计算出FFN体积，排水面积和其他相关属性。但是，如果倾斜的井与不同单位的未知数量的FFN相交，则无法从初始裂缝产生量估算每个FFN裂缝量。由于启动FFN的连通性阈值未知或无法计算，因此无法确定钻孔相交的FFN数。一种方法是设置任意的裂缝连通性阈值，_𝜆c。

基于该初始值，可以生成并调整裂缝流动模型，直到推断出的速率时间和累积时间曲线收敛到观测值。通过使用不同的连接阈值𝜆 _c改变FFN的数量，并通过修改未知或不确定的参数（例如裂缝口）来估计FFN的大小，即可完成调整。最终模型将得出所有FFN的最可能数量和大小，并提供对未来生产绩效的近似预测。

在不考虑压力的情况下匹配生产性能的能力表明，带FFN的裂缝性储层速率降低不仅与压力下降有关，而且可能更重要的是，从最小尺寸或排水效率最高的FFN开始枯竭。

该方法的一个缺点是不同数量的FFN可能具有相似的推断生产性能和累积生产。这是大多数模型中固有的不可避免的缺点，必须依赖多个不确定或未知参数。减小可能解的范围的唯一方法是减小基础输入参数的不确定性。在任何情况下，替代结果都可以表示为一系列可能的解决方案。