Integrated Modelling of Oil Reservoirs
This project is funded from 1. September 2009 by The Danish Council
for Independent Research - Technology and Production Sciences (DKK 5.38
mill. or $1.1 mill.) and by DONG Energy (DKK 970.000 or $190.000). The
project will in the next 3 years focus on the integration of history
matching with geostatistical reservoir models and seismic data.
Significant improvement of oil recovery depends on two, very
computer-intensive numerical processes: seismic inversion and history
matching. Seismic inversion exploits reflected seismic waves from the
subsurface to calculate physical/geological structure of the reservoir.
History matching computes physical properties of the reservoir that
explain the time evolution of pressure and oil/gas/water production in
If seismic inversion and history matching could be integrated in an
efficient way, significantly improved images of the reservoir structure
could be obtained. New production wells could be located optimally, and
production planning could be optimized.
This goal is now within reach due to the discovery of an interesting
property of seismic data. Recent work by the project group has
demonstrated that most information about structure and porosity of a
reservoir is encapsulated in a limited set of characteristics derived
from the seismic data. This enables fast and accurate calculation of
reservoir properties, and opens new perspectives for integration of
seismic analysis and history matching technology. The aim of the
project is to seize this opportunity to develop the first efficient and
accurate reservoir modelling method.
(Collaborators: Prof. Ph.D. Erling H. Stenby, IVC-SEP, DTU Chemical
Engineering, Technical University of Denmark; Ph.D. Morten G. Stage,
R&D Manager, DONG Energy AS, Denmark; Prof. dr. Albert Tarantola,
IPGP, University of Paris, France; Prof. dr. Jef Caers, Energy
Resources Engineering Department, Stanford University, USA; Dr. Peter
Gerstoft, Scripps Institute of Oceanography, University of California,
San Diego, USA.)