Nowadays, the unconventional gas-bearing system plays an increasingly important role in energy market. The performances of the current history-matching techniques are not satisfied when applied to such systems. To overcome this shortfall, an alternative approach was developed and applied to investigate production data from an unconventional gas-bearing system. In this approach, the fluid flow curve obtained from the field is the superposition of a series of Gaussian functions. An automatic computing program was developed in the MATLAB, and both gas and water field data collected from a vertical well in the Linxing Block, Ordos Basin, were used to present the data processing technique. In the reservoir study, the automatic computing program was applied to match the production data from a single coal seam, multiple coal seams and multiple vertically stacked reservoirs with favourable fitting results. Compared with previous approaches, the proposed approach yields better results for both gas and water production data and can calculate the contributions from different reservoirs. The start time of the extraction for each gas-containing unit can also be determined. The new approach can be applied to the field data prediction and designation for the well locations and patterns at the reservoir scale.

中文翻译：

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匹配非常规含气系统的现场生产数据的替代方法

如今，非常规的含气系统在能源市场中扮演着越来越重要的角色。当应用于这样的系统时，当前的历史匹配技术的性能不能令人满意。为了克服这一不足，开发了一种替代方法并将其应用于调查来自非常规含气系统的生产数据。在这种方法中，从该场获得的流体流动曲线是一系列高斯函数的叠加。在MATLAB中开发了一个自动计算程序，并使用了从鄂尔多斯盆地临兴区块垂直井收集的气田和水田数据来介绍数据处理技术。在储层研究中，应用了自动计算程序来匹配单个煤层的生产数据，多个煤层和多个垂直堆叠的储层，拟合效果良好。与以前的方法相比，该方法对于天然气和水的生产数据都产生了更好的结果，并且可以计算来自不同储层的贡献。还可以确定每个气体容纳单元的提取开始时间。该新方法可以应用于油藏规模的井位置和模式的现场数据预测和指定。