Uncertainty in Reservoir Evaluation (URE)

• Provide creative mathematically based solutions to recognized challenges in reservoir evaluation.
• Develop methodologies for analysis of spatial and spatio-temporal phenomena.

Identify, develop and evaluate mathematically and physically based models for assessment of uncertainties in reservoir evaluation, and distribute information and provide training about these models through education, publishing and seminars.

The activity in the programme is inspired by the problem complexes:

• Assessment of seismic velocities from seismic data.
• Lithology, fracture and fluid inversion from well and seismic data.
• Fluid monitoring from time-lapse seismic and production data.

Prediction of gas and oil. Within the red and green volumes the probabilities are above 0.5 for sand with gas or sand with oil, respectively. The results in (a) and (b) are for a model with and without rock physics depth trends, respectively. Click on the above image to see a movie that shows the results from different angles. For more information, see "Rimstad, K., Avseth, P. and Omre, H. (2012), Hierarchical Bayesian lithology/fluid prediction: A North Sea case study, Geophysics, 77, B69-B85".

• Head of URE: Professor Henning Omre, Department of Mathematical Sciences, NTNU.
• Professor Børge Arntsen, Department of Petroleum Engineering & Applied Geophysics, NTNU.
• Professor Per Avseth, Department of Petroleum Engineering & Applied Geophysics, NTNU.
• Professor Jo Eidsvik, Department of Mathematical Sciences, NTNU.
• Professor Håkon Tjelmeland, Department of Mathematical Sciences, NTNU.
• Professor Bjørn Ursin, Department of Petroleum Engineering & Applied Geophysics, NTNU.