On a robust data modelling approach for managing the fractured reservoirs in an onshore colombian oil & gas field

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 datase...

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Main Authors: Nimmagadda, Shastri, Chavez, L., Castaneda, J., Lobo, A.
Format: Conference Paper
Published: 2017
Online Access:http://hdl.handle.net/20.500.11937/66280
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author Nimmagadda, Shastri
Chavez, L.
Castaneda, J.
Lobo, A.
author_facet Nimmagadda, Shastri
Chavez, L.
Castaneda, J.
Lobo, A.
author_sort Nimmagadda, Shastri
building Curtin Institutional Repository
collection Online Access
description 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.
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spelling curtin-20.500.11937-662802018-04-30T02:40:02Z On a robust data modelling approach for managing the fractured reservoirs in an onshore colombian oil & gas field Nimmagadda, Shastri Chavez, L. Castaneda, J. Lobo, A. 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. 2017 Conference Paper http://hdl.handle.net/20.500.11937/66280 restricted
spellingShingle Nimmagadda, Shastri
Chavez, L.
Castaneda, J.
Lobo, A.
On a robust data modelling approach for managing the fractured reservoirs in an onshore colombian oil & gas field
title On a robust data modelling approach for managing the fractured reservoirs in an onshore colombian oil & gas field
title_full On a robust data modelling approach for managing the fractured reservoirs in an onshore colombian oil & gas field
title_fullStr On a robust data modelling approach for managing the fractured reservoirs in an onshore colombian oil & gas field
title_full_unstemmed On a robust data modelling approach for managing the fractured reservoirs in an onshore colombian oil & gas field
title_short On a robust data modelling approach for managing the fractured reservoirs in an onshore colombian oil & gas field
title_sort on a robust data modelling approach for managing the fractured reservoirs in an onshore colombian oil & gas field
url http://hdl.handle.net/20.500.11937/66280