Method for estimating and/or reducing uncertainty in reservoir models of potential petroleum reservoirs
AssigneeBHP Billiton Innovation Pty Ltd.
InventorsJames Stuart Gunning, Michael Edwin Glinsky, Christopher David White
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Abstract
A method for estimating and/or reducing uncertainty in reservoir models of potential petroleum reservoirs comprises receiving the results of a stochastic seismic inversion, and transforming the inversion data into a form suitable for reservoir modelling and flow simulations, while honoring inter-property and inter-layer correlations in the inversion data as well as measured well data and other geological constraints.
Claims21
A method for estimating and/or reducing uncertainty in reservoir models of potential petroleum reservoirs, the method comprising the steps of:
- (a) receiving the results of a stochastic seismic inversion which provides output ensembles in respect of a plurality of properties on the basis of imaged seismic data obtained at points on an imaged seismic input grid over a region to be modelled, the output ensembles including information regarding the values of the plurality of properties at points on the input grid for a sequence of model layers, including means and covariances for the properties,
- (b) assembling information regarding an observed fault structure in the region,
- (c) assembling well log data in respect of one or more properties, obtained from well locations within the region,
- (d) modifying the geometry of the input grid to form an output grid for each layer, based on the observed fault structure and the seismic inversion results,
- (e) interpolating the values of the plurality of properties from the points on the input grid onto the output grid,
- (f) spatially smoothing the means and covariances of the output ensembles to produce a smooth trend map for each property and a smooth inter-property trend covariance,
- (g) performing a kriging adjustment of the property trends on the basis of the well log data so that the trends pass through the well log data,
- (h) simulating a set of spatially correlated random fields on the output grid for each property, and generating a set of realisations for each property on the basis of the random fields, the smooth inter-property trend covariance and the property trend maps, which honour inter-property and inter-layer correlations from the seismic inversion and measured well data, and
- (i) using the generated realisations in a reservoir model to conduct flow simulation and/or volumetric calculations in respect of the region.
Dependencies are inferred from the claim text.