Delivery Massager: A tool for propagating seismic inversion information into reservoir models

نویسندگان

  • James Gunning
  • Michael E. Glinsky
  • Chris White
چکیده

We introduce a new open-source program for transforming inversion data from the open-source Delivery seismic inversion software to industry-standard cornerpoint grid formats suitable for reservoir modelling and flow simulations. The seismic inversion data produced by Delivery is an array of trace-local stochastic samples from a Bayesian posterior distribution of reservoir layer parameters, which contains complex correlations between layers boundaries, rock properties and fluid information, but no transverse correlations. This correlation structure is merged with lateral correlation requirements imposed by geological modelling inputs to the conversion process, thus producing cornerpoint grid models of the reservoir that honour seismic inversion, well data, and the desired lateral continuities. Realisations from the joint ‘structural-stochastic’, multi-property 3D correlated model can be drawn using a generalised p-field simulation algorithm. Distribution of volumetric quantities of commercial interest (e.g. net-hydrocarbon) can be directly generated. The software can produce both most-likely cornerpoint grids, and stochastic grids, which can be carried forward into production forecast studies for risking and uncertainty studies. r 2006 Elsevier Ltd. All rights reserved.

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عنوان ژورنال:
  • Computers & Geosciences

دوره 33  شماره 

صفحات  -

تاریخ انتشار 2007