Petroleum Science >2021,??lssue 4:??- DOI: https://doi.org/10.1016/j.petsci.2021.07.008
An improved data space inversion method to predict reservoir state fields via observed production data Open?Access
文章信息
作者：Deng Liu, Xiang Rao, Hui Zhao, Yun-Feng Xu, Ru-Xiang Gong
作者單位：
投稿時(shí)間：
引用方式：Deng Liu, Xiang Rao, Hui Zhao, Yun-Feng Xu, Ru-Xiang Gong, An improved data space inversion method to predict reservoir state fields via observed production data, Petroleum Science, Volume 18, Issue 4, 2021, Pages 1127-1142, https://doi.org/10.1016/j.petsci.2021.07.008.
文章摘要
A data-space inversion (DSI) method has been recently proposed and successfully applied to the history matching and production prediction of reservoirs. Based on Bayesian theory, DSI can directly and effectively obtain good posterior flow predictions without inversion of geological parameters of reservoir model.
關(guān)鍵詞
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Fossil fuels；Oil and gas reservoirs；Reservoir state fields