Reservoir parameter inversion based on weighted statistics

• Published in: Applied geophysics Vol. 12; no. 4; pp. 523 - 532
• Main Authors: Gui, Jin-Yong, Gao, Jian-Hu, Yong, Xue-Shan, Li, Sheng-Jun, Liu, Bin-Yang, Zhao, Wan-Jin
• Format: Journal Article
• Language: English
• Published: Beijing Chinese Geophysical Society 01.12.2015; Springer Nature B.V; Research Institute of Petroleum Exploration & Development-Northwest Branch,Petrochina,Lanzhou 730020,China
• Subjects: Bayesian analysis; Computer simulation; Density; Earth and Environmental Science; Earth Sciences; Geophysics; Geophysics/Geodesy; Geostatistics; Geotechnical Engineering & Applied Earth Sciences; Inversions; Markov chains; Mathematical models; Monte Carlo simulation; Natural gas exploration; Objective function; Physical properties; Physics; Reservoirs; Rock; Rocks; Statistical methods; Uncertainty; stochastic simulation; inversion; weighted statistics; Reservoir parameters; Bayesian framework

Variation of reservoir physical properties can cause changes in its elastic parameters. However, this is not a simple linear relation. Furthermore, the lack of observations, data overlap, noise interference, and idealized models increases the uncertainties of the inversion result. Thus, we propose a...