On a Robust Data Modelling Approach for Managing the Fractured Reservoirs in an Onshore Colombian Oil & Gas Field
S.L. Nimmagadda, L. Chavez, J. Castaneda and A. Lobo
Event name: Third EAGE Workshop on High Performance Computing for Upstream
Publication date: 01 October 2017
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Neither the limits of elements and processes of the petroleum systems of Colombian sedimentary basins are known nor interpreted without ambiguities undermining the reservoir complexities and hampering the data integration in the upstream business. Partly it is due to poor understanding of the datasets and poorly articulated data modelling, visualization and interpretation artefacts in complex geological regimes. We propose an ontology based multidimensional warehouse repository approach with ontology constructs and models for various data sources, acquired from multiple domains of upstream business. We choose several data volumes, variety of multidimensional data attributes and their fact instances for interpreting seismically integrated geological horizons. Structure and fracture attribute map views are computed to ascertain the density of fractures and their orientations, calibrating the fracture signatures with production data existing within the interpreted faulted compartments. Field development plans are assessed based on new knowledge, obtained from domain ontology descriptions, exploring connections among multi-stacked fractured reservoirs. Though we find no structural bearing on the accumulations of oil and gas in the study area, the fracture density and orientation appear to have definite bearing on production. Integrated framework minimizes the ambiguity involved in the interpretation of fractures, their density and orientations in the study area.