Thank you for your time and effort Dr. Michael. This course has been very helpful. I got slightly confused with the following: if we are assuming stationarity, then why would the expected value at the unknown locations be that of the kriging estimate, and not zero just like that of the known data points ?
I think he explained that the value of the unknown location is away from the known location, and there’s a range. Kriging is used to estimate value away from the known location! I don’t know if this answers your questions..
The motivation for simulation is that it could reproduce the variability which kriging estimation might underestimate, but the simulation model needs to be upscaled before flow simulation and the upscaling will even out some hetergeneity and decrease the variance. Would be interesting to look at kriging model VS. upscaled simulation model.
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The way you explain is fantastic. Thank you for making it available for the public!
Thank you Dr. Michael for your efforts in explaining the these concepts!
Thank you for your very nice lectures, I love the speed and voice that you explained. Very clear and understandable!!!!
I am longhorn and I am working as petrophysicist. Thanks Dr Michael. Awesome video.
god bless you! Thanks a million for your really excellent lectures!:)
Thanks for sharing your knowledge. Amazing Lectures.
Excellent Lecture.
Nice lecture! Thank you for sharing your knowledge this way. It would be great a lecture covering turning bands method for simulation.
Thank you for your time and effort Dr. Michael. This course has been very helpful.
I got slightly confused with the following: if we are assuming stationarity, then why would the expected value at the unknown locations be that of the kriging estimate, and not zero just like that of the known data points ?
I think he explained that the value of the unknown location is away from the known location, and there’s a range. Kriging is used to estimate value away from the known location! I don’t know if this answers your questions..
Very nice explanation
Thank you. I hope it is helpful.
The motivation for simulation is that it could reproduce the variability which kriging estimation might underestimate, but the simulation model needs to be upscaled before flow simulation and the upscaling will even out some hetergeneity and decrease the variance. Would be interesting to look at kriging model VS. upscaled simulation model.
i guess it's kinda randomly asking but does anybody know a good site to watch newly released series online?
Morning very nice course
Thank you! I hope that the lecture is helpful.