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researcher

A. Roubícková

3 papers here

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

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • physics.geo-ph1

identity via Semantic Scholar / OpenAlex

most citedMachine learning on Crays to optimise petrophysical workflows in oil and gas exploration

22 citations · 22 across the 1 of their papers we have counts for

collaborators

3 papers

cs.LG2020

Using machine learning to reduce ensembles of geological models for oil and gas exploration

Anna Roubícková, Lucy MacGregor, Nick Brown +2

Exploration using borehole drilling is a key activity in determining the most appropriate locations for the petroleum industry to develop oil fields. However, estimating the amount…

cs.LG2020

Machine Learning for Gas and Oil Exploration

Vito Alexander Nordloh, Anna Roubícková, Nick Brown

Drilling boreholes for gas and oil extraction is an expensive process and profitability strongly depends on characteristics of the subsurface. As profitability is a key success fac…

physics.geo-ph2020★ 22 cited

Machine learning on Crays to optimise petrophysical workflows in oil and gas exploration

Nick Brown, Anna Roubickova, Ioanna Lampaki +3

The oil and gas industry is awash with sub-surface data, which is used to characterize the rock and fluid properties beneath the seabed. This in turn drives commercial decision mak…

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