Cristin-resultat-ID: 1767740
Sist endret: 7. januar 2020, 13:46
Resultat
Vitenskapelig foredrag
2019

Data assimilation and control of subsurface reservoirs

Bidragsytere:
  • Dean Oliver

Presentasjon

Navn på arrangementet: International Workshop on Data-Centric Engineering
Sted: Cambridge, Massachusetts
Dato fra: 9. desember 2019
Dato til: 12. desember 2019

Arrangør:

Arrangørnavn: Alan Turing Institute, Massachusetts Institute of Technology

Om resultatet

Vitenskapelig foredrag
Publiseringsår: 2019

Beskrivelse Beskrivelse

Tittel

Data assimilation and control of subsurface reservoirs

Sammendrag

Petroleum reservoirs are typically located deep in the earth where direct observations are expensive and sparse. The amount of indirect data that can be collected from the surface and from well locations, however, is massive. Using all data effectively to forecast future behavior under different constraints is a challenge, as is quantifying the uncertainty in those forecasts. I will survey the types of data that may be collected, and the relationships of those observations to properties of the subsurface. I will also discuss methods for assimilating data into models for forecasting, methods for estimating uncertainty in forecasts and model parameters, and methods for optimizing the expected value of a cost function. During the talk, i will try to identify limitations in current methodologies. Many of the challenges in control of petroleum reservoirs are closely related to problems of underground sequestration of co2 and removal of pollutants from aquifers.

Bidragsytere

Dean Oliver

  • Tilknyttet:
    Forfatter
    ved NORCE Energi og teknologi ved NORCE Norwegian Research Centre AS
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