Workflow for improvement of 3D anisotropic CSEM resistivity inversion and integration with seismic using cross-gradient constraint to reduce exploration risk in a complex fold-thrust belt in offshore northwest Borneo
被引:14
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作者:
Meju, Max A.
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Petronas Upstream, Kuala Lumpur, MalaysiaPetronas Upstream, Kuala Lumpur, Malaysia
Meju, Max A.
[1
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Saleh, Ahmad Shahir
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Petronas Upstream, Kuala Lumpur, Malaysia
Univ Sains Malaysia, George Town, MalaysiaPetronas Upstream, Kuala Lumpur, Malaysia
Saleh, Ahmad Shahir
[1
,2
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Mackie, Randall L.
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CGG Multiphys Imaging, Milan, ItalyPetronas Upstream, Kuala Lumpur, Malaysia
Mackie, Randall L.
[3
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Miorelli, Federico
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CGG Multiphys Imaging, Milan, ItalyPetronas Upstream, Kuala Lumpur, Malaysia
Miorelli, Federico
[3
]
Miller, Roger V.
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Petronas Upstream, Kuala Lumpur, MalaysiaPetronas Upstream, Kuala Lumpur, Malaysia
Miller, Roger V.
[1
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Mansor, Noor Kartini S.
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Petronas Upstream, Kuala Lumpur, MalaysiaPetronas Upstream, Kuala Lumpur, Malaysia
The focus of hydrocarbon exploration has now moved into frontier regions where structural complexity, heterogeneous overburden, and hydrocarbon system fundamentals are significant challenges requiring an integrated exploration approach. Three-dimensional controlled-source electromagnetic (CSEM) anisotropic resistivity imaging is emerging as a technique to combine with seismic imaging in such regions. However, the typically reconstructed horizontal resistivity rho(h) and vertical resistivity rho(v) models often have conflicting depth structures that are difficult to explain in terms of subsurface geology. It is highly desirable to reduce ambiguity or subjectivity in depth interpretation of rho(h) and rho(v) models and also achieve comparability with other coincidentally located subsurface models. We have developed a workflow for integrating information from seismic well-based inversion, interpreted seismic horizons, and resistivity well logs in a cross-gradient-guided simultaneous 3D CSEM inversion for geologically realistic rho(h) and rho(v) models whose parameter estimates for a selected reservoir interval can then be better optimized to aid reservoir characterization. We developed our workflow using exploration data from a complex fold-thrust belt. We found that the integrated cross-gradient approach led to rho(h) and rho(v) models that have a common depth structure, are consistent with seismic and resistivity logs, and are hence less ambiguous for geologic interpretation and reservoir parameter estimation.