- author = "Nuo Li and Hao Chen and Jian-qiang Han",
- title = "Application of Multigene Genetic Programming for Estimating Elastic Modulus of Reservoir Rocks",
- booktitle = "2019 13th Symposium on Piezoelectrcity, Acoustic Waves and Device Applications (SPAWDA)",
- year = "2019",
- month = "11-14 " # jan,
- publisher = "IEEE",
- address = "Harbin, China",
- keywords = "genetic algorithms, genetic programming",
- isbn13 = "978-1-7281-0614-4",
-
DOI = "
doi:10.1109/SPAWDA.2019.8681879",
- abstract = "Based on the Multigene genetic programming (MGGP) method, the static elastic moduli (Young's moduli) of reservoir sandstones are estimated with the bulk densities, porosities and P-wave velocities data. A analytical expression for static moduli is obtained by evolution according to the method, and the static moduli are calculated by the expression. Then the calculation results are compared with those obtained by experimental and empirical methods. It shows that MGGP method is more accurate than the traditional empirical relation between dynamic and static parameters. Furthermore, MGGP requires less input parameters. For example, S-wave velocities are not necessary. So the method reduce the error induced by the inaccurate or missing of S-wave velocities.",
-
notes = "University of Chinese Academy of Sciences, Beijing,
China
Also known as \cite{8681879}",
