作者: Abbas Firoozabadi , Huanquan Pan
DOI: 10.2118/77299-PA
关键词: Stability test 、 Surface (mathematics) 、 Space (mathematics) 、 Computer science 、 Stability (learning theory) 、 Algorithm 、 Transformation (function) 、 Robustness (computer science) 、 State (functional analysis) 、 Feature (computer vision)
摘要: Given pressure, temperature, and composition of a fluid, one desires to determine whether the single phase state is stable. This problem is, in principle, much simpler than phase-behavior calculations. For certain applications such as compositional-reservoir modeling, stability testing can be most important item for efficient In this paper, we use tangent-plane-distance (TPD) reduced space perform analysis testing. The results reveal that there are major advantages space. One interesting feature transformation TPD surface becomes smooth has minimum. combination minimum smoothness contributes remarkable robustness