Exact(17)
The relationship work best for well sorted reservoir samples.
In this study; different laboratory experiments on one of the Iranian heavy oil and brine reservoir samples were performed.
Single-phase high-pH corefloods were completed using Berea sandstone and reservoir samples to calibrate and validate geochemical simulations.
Heterogeneity and anisotropy of ultra-tight reservoir samples adversely influence the laboratory correlation among various measured and estimated petrophysical properties.
And the 2D visualized physical experiments and 3D physical experiments were performed with the simulated oil and brine reservoir samples in Tahe oilfield.
First, we take the thin sections of reservoir samples as the study object.
Similar(43)
We propose a novel adaptive stratified reservoir sampling algorithm designed to meet these challenges.
In this paper, we address this heterogeneity problem by stratifying the reservoir sample among the underlying sub-streams.
Reservoir sampling is a known technique for maintaining a random sample of a fixed size over a data stream of an unknown size.
In this work, we show how by switching the placement of the sample and water reservoir (sample in a sealed hydrostat and water reservoir in the ampoule) many of these drawbacks are overcome.
First, a fixed-size reservoir should be allocated to individual sub-streams optimally, specifically to have the stratified reservoir sample used to generate estimates at the level of either the whole data stream or the individual sub-streams.
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