Application of Monte Carlo to Improve the Accuracy of Identifying Fracture by Conventional Logs

Abstract:

Because of the limitation of logging instrument and tools resolution and response characteristics, the accuracy of identifying fracture is relatively low. This gives severe impact on accurate interpretation and evaluation of reservoir. In this paper, Monte Carlo simulation is applied to take its advantage on solving uncertain and stochastic problem to improve the accuracy of conventional logs identifying fracture of Carbonate reservoir in Middle East. According to the contrast result with core and image logging and well test data, this method is proved to be effective. It has an important significance for fracture identification in the situation of lack of image logging data but only conventional logs.

• Periodical: Applied Mechanics and Materials (Volumes 295-298)
• Pages: 3237-3242
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.295-298.3237
• Online since: February 2013
• Authors: Hou Yi Luo, Yong Mei Tang
• Keywords: Carbonate Rock, Conventional Logs, Fracture, Monte Carlo, Probability

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