西南石油大学学报(自然科学版) ›› 1999, Vol. 21 ›› Issue (4): 26-29.DOI: 10.3863/j.issn.1000-2634.1999.04.008
• 油气藏工程 • Previous Articles Next Articles
HU Xue-tao LI Yun
Received:
Revised:
Online:
Published:
Contact:
Abstract:
It is the key and also very difficult point to gain flowing parameters of fine reservoir simulation. Based on the hierarchy and textural feature of geological events, stochastic simulation in micro networks is used in this article to acquire the flowing parameters by transforming macro phenomena into a study in micro- mechanism. In the paper, stochastic network model built with oriented percolation is flexible and convenient. Different kinds of pore structures and wettability of sand rock can be easily structured using the stochastic network model. The model can truly present the micro-character of porous media, and it can also be used to simulation flowing parameters quickly and effectively. It has been proved with case study that stochastic simulation in networks is an effective new approach to gain flowing parameter of small dimensions in fine reservoir simulation.
Key words: microcosmic, network model, stochastic simulation, and flowing parameter
CLC Number:
TE313.2 TE319
HU Xue-tao LI Yun. A NEW APPROACH TO GAIN FLOWING PARAMETERS OF FINE RESERVOIR NUMERICAL SIMULATION—MICRO NETWORK SIMULATION[J]. 西南石油大学学报(自然科学版), 1999, 21(4): 26-29.
0 / / Recommend
Add to citation manager EndNote|Ris|BibTeX
URL: http://journal15.magtechjournal.com/Jwk_xnzk/EN/10.3863/j.issn.1000-2634.1999.04.008
http://journal15.magtechjournal.com/Jwk_xnzk/EN/Y1999/V21/I4/26