From multi-source field data to multi-scaled 3D models: methodology and applications to a carbonate reservoir analogue

Sophie Viseur and Jean Borgomano and Juliette Lamarche and S. Nardon. ( 2006 )
in: 26th gOcad Meeting, ASGA

Abstract

As carbonate rocks contain almost 65% of the global hydrocarbon reserves, the 3D modelling of carbonate reservoir analogues is, therefore, of paramount importance for petroleum applications. Simultaneously, because of their high heterogeneity, carbonate sediments are especially complex to model. The 3D spatial repartition of their petrophysical properties is difficult to capture as it results from superimposed factors (depositional facies, fracture networks or diagenetic effects). In order to partly tackle this complexity, we have built a multi-scaled 3D model of a carbonate system embedding several complex sedimentary bodies. The case study is located in the calcareous Provence which provides an interesting area as carbonate rocks crop largely out. Moreover, within the last twenty years, numerous sedimentological studies have been performed supplying important geological knowledge and database. For this study, additional digital data sources have been acquired such as structural data (plunge/azimuth), GPS measurements, maps, DEM and orthophotos. However, 3D modelling workflows commonly rely on subsurface data (well and seismic). Thus, they are not really adequate to utilize field data. The main difficulty comes from the high diversity of field data nature and precision. Our objective is to explore and exploit the whole field data and geological knowledge into a consistent 3D model. In this paper, we propose procedures and tools to integrate several field data types into a multi-scaled relevant 3D model. Using this approach, we have built small-scale precise 3D models of complex sedimentary bodies imbricated into a large scale model. In this scope, one of our challenges has been to generate stratigraphic grids for geostatistical simulation that fit multi-digit complex geobody geometry. We finally conclude by addressing some encountered issues and the future works.

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    BibTeX Reference

    @inproceedings{ViseurRM2006,
     abstract = { As carbonate rocks contain almost 65% of the global hydrocarbon reserves, the 3D modelling of carbonate reservoir analogues is, therefore, of paramount importance for petroleum applications. Simultaneously, because of their high heterogeneity, carbonate sediments are especially complex to model. The 3D spatial repartition of their petrophysical properties is difficult to capture as it results from superimposed factors (depositional facies, fracture networks or diagenetic effects). In order to partly tackle this complexity, we have built a multi-scaled 3D model of a carbonate system embedding several complex sedimentary bodies. The case study is located in the calcareous Provence which provides an interesting area as carbonate rocks crop largely out. Moreover, within the last twenty years, numerous sedimentological studies have been performed supplying important geological knowledge and database. For this study, additional digital data sources have been acquired such as structural data (plunge/azimuth), GPS measurements, maps, DEM and orthophotos. However, 3D modelling workflows commonly rely on subsurface data (well and seismic). Thus, they are not really adequate to utilize field data. The main difficulty comes from the high diversity of field data nature and precision. Our objective is to explore and exploit the whole field data and geological knowledge into a consistent 3D model. In this paper, we propose procedures and tools to integrate several field data types into a multi-scaled relevant 3D model. Using this approach, we have built small-scale precise 3D models of complex sedimentary bodies imbricated into a large scale model. In this scope, one of our challenges has been to generate stratigraphic grids for geostatistical simulation that fit multi-digit complex geobody geometry. We finally conclude by addressing some encountered issues and the future works. },
     author = { Viseur, Sophie AND Borgomano, Jean AND Lamarche, Juliette AND Nardon, S. },
     booktitle = { 26th gOcad Meeting },
     month = { "june" },
     publisher = { ASGA },
     title = { From multi-source field data to multi-scaled 3D models: methodology and applications to a carbonate reservoir analogue },
     year = { 2006 }
    }