Integration of soft data into multiple-point statistical simulation: re-assessing the probability conditioning method for facies model calibration
Sign Up to like & getrecommendations! Published in 2019 at "Computational Geosciences"
DOI: 10.1007/s10596-019-9813-5
Abstract: Conditioning multiple-point statistical (MPS) facies simulation on dynamic flow data is complicated by the complex relationship between discrete facies distribution and the flow response data. The process can be facilitated by using the probability conditioned… read more here.
Keywords: multiple point; soft data; facies probability; point statistical ... See more keywords
Mitigating Prediction Error of Deep Learning Streamflow Models in Large Data‐Sparse Regions With Ensemble Modeling and Soft Data
Sign Up to like & getrecommendations! Published in 2021 at "Geophysical Research Letters"
DOI: 10.1029/2021gl092999
Abstract: Predicting discharge in contiguously data‐scarce or ungauged regions is needed for quantifying the global hydrologic cycle. We show that prediction in ungauged regions (PUR) has major, underrecognized uncertainty and is drastically more difficult than previous… read more here.
Keywords: prediction error; performance; soft data; error deep ... See more keywords