Statistical prediction is often required in reservoir simulation to quantify production uncertainty or assess potential risks. Most existing quantification procedures aim decompose the input random field independent variables, and may suffer from curse of dimensionality if correlation scale small compared domain size. In this work, we develop test a new approach, K-means clustering assisted emp...

In petroleum domain, optimizing hydrocarbon production is essential because it does not only ensure the economic prospects of companies, but also fulfills increasing global demand energy. However, applying numerical reservoir simulation (NRS) to optimize can induce high computational footprint. Proxy models are suggested alleviate this challenge they computationally less demanding and able yiel...

In recent years, with the progress of science and technology development times, it has brought great opportunities for protection Tibetan resources in our country. Many reservoirs are located very complex fault blocks small many faults, coupled strong heterogeneous media. After years waterflooding development, they have entered high water cut oil recovery stage. view this, this paper will focus...

Abstract Low salinity waterflooding has gained significant attention and importance in the last decade, as it is seen an impactful method for recovery of additional oil from carbonate reservoirs. Existing literature does not do justice to underlying mechanisms that aid such rock types. In this paper, we present a comprehensive review research conducted on low carbonates further provide detailed...