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
|
作者
Meju, Max A. [1 ]
Saleh, Ahmad Shahir [1 ,2 ]
Mackie, Randall L. [3 ]
Miorelli, Federico [3 ]
Miller, Roger V. [1 ]
Mansor, Noor Kartini S. [1 ]
机构
[1] Petronas Upstream, Kuala Lumpur, Malaysia
[2] Univ Sains Malaysia, George Town, Malaysia
[3] CGG Multiphys Imaging, Milan, Italy
关键词
DC RESISTIVITY;
D O I
10.1190/INT-2017-0233.1
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
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.
引用
收藏
页码:SG49 / SG57
页数:9
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