综述了目前所有的生产数据分析方法,强调了各种方法的优势和局限性。这些方法包括Arps、Fetkovich、Blasingame和Agarwal-Gardner等人提出的方法以及一种称为流动物质平衡的新方法。有些方法可预测可采储量,有些可预测油气地质储量。在很多情况下,传统的(Arps)递减分析(指数或双曲线)可提供合理的解释,但也有不足之处,最重要的一点是它完全忽略了流动压力数据。结果就可能过高或过低地评估储量。电子数据测量的增加使得流动压力与产量数据同样易于获得。因此就出现了更为复杂的分析方法,在这种分析方法中,同时考虑流动压力和产量数据。连续而系统地采用所有这些方法可以获得一致并更为可靠的解释。 All current production data analysis methods are reviewed, highlighting the strengths and limitations of the various methods. These include the methods proposed by Arps, Fetkovich, Blasingame, and Agarwal-Gardner et al., And a new method called flow-material balance. Some methods predict recoverable reserves and some predict the oil and gas geological reserves. In many cases, the traditional (Arps) decay analysis (exponential or hyperbola) provides a reasonable explanation, but also has some shortcomings. The most important point is that it completely ignores the flow stress data. As a result, reserves may be assessed too high or too low. The increase in electronic data measurements makes flow pressure as readily available as production data. As a result, a more sophisticated analytical approach emerged, in which both flow stress and yield data were taken into account. The consistent and systematic interpretation of all these methods leads to a consistent and more reliable explanation.