Oil and gas
Oil and gas
NR has a long history of developing statistical and mathematical methods used in the upstream part of the petroleum industry. We have developed many geostatistical methods that have been commercialized and are now in daily use within oil companies. This gives more flexible and realistic reservoir models and improved analysis and use of measurements and data. Computers and data are constantly improving and our challenge is to fully utilize all the new possibilities. We are committed to do so in the future.
Research areas
Efficient depletion of oil and gas reservoirs require an accurate description of geometric shapes and the petrophysical properties of the sedimentary rocks. We use statistical methods to integrate all available data and stochastic models to describe the remaining uncertainty.
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NR has long experience in stochastic modeling faults and surfaces. This is done to integrate seismic and well data with geological knowledge, and to study the uncertainty both in reservoir volume and in flow within the reservoir.
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We use Bayesian approach for inversion of geophysical data. This provides a common framework when integrating rock physics and structural geology with geophysical data. We do work on seismic and electromagnetic data.
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The oil and gas industry has lot of data from different sources. These data can give valuable information to decision-makers about uncertainty. Statistical methods are valuable tools to estimate uncertainty and thereby give important decision support.
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The use of statistical methods for using historical production data to improve petroleum reservoir models.
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