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researcher

M. Spremić

2 papers hereh-index 28 citations8 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • stat.AP1
  • stat.ME1

identity via Semantic Scholar / OpenAlex

most citedA practical and efficient approach for Bayesian reservoir inversion: Insights from the Alvheim field data

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

stat.AP2024★ 1 cited

A practical and efficient approach for Bayesian reservoir inversion: Insights from the Alvheim field data

Karen S Auestad, The Tien Mai, Mina Spremic +1

Stochastic reservoir characterization, a critical aspect of subsurface exploration for oil and gas reservoirs, relies on stochastic methods to model and understand subsurface prope…

stat.ME2023

The Spatial Kernel Predictor based on Huge Observation Sets

Henning Omre, Mina Spremić

Spatial prediction in an arbitrary location, based on a spatial set of observations, is usually performed by Kriging, being the best linear unbiased predictor (BLUP) in a least-squ…

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