Imaging CSEM data in the presence of electrical anisotropy

Newman, Gregory A.; Commer, Michael; Carazzone, James J.

doi:10.1190/1.3295883

Cited by 145 publications

(56 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…However, with the underlying material averaging scheme of the forward modeling operator, outlined in detail in an earlier work , an anisotropic formulation of the forward problem falls in place (Newman et al, 2010). Therefore, our method also allows simulating fields from an anisotropic complex conductivity distribution.…”

Section: Methodsmentioning

confidence: 99%

3D induced-polarization data inversion for complex resistivity

et al. 2011

Self Cite

View full text Add to dashboard Cite

The conductive and capacitive material properties of the subsurface can be quantified through the frequency-dependent complex resistivity. However, the routine three-dimensional interpretation of voluminous induced polarization (IP) data sets still poses a challenge due to large computational demands and solution non-uniqueness. In this work, we propose a flexible methodology for three-dimensional (spectral) IP data inversion. Our inversion algorithm is adapted from a frequency-domain electromagnetic (EM) inversion method primarily developed for large-scale hydrocarbon and geothermal energy exploration purposes. The method has proven to be efficient by implementing the non-linear conjugate gradient method with hierarchical parallelism and by using an optimal finite-difference forward modeling mesh design scheme.The method allows for a large range of survey scales, providing a tool for both exploration and environmental applications. We experiment with an image focusing technique in order to improve the poor depth resolution of surface data sets with small survey spreads. The algorithm's underlying forward modeling operator properly accounts for EM coupling effects, thus traditionally used EM coupling correction procedures are not needed. The methodology is applied to both synthetic and field data. The benefit of directly inverting EM coupling contaminated data is demonstrated on a synthetic large-scale exploration data set. Afterwards, we demonstrate the monitoring capability of our method by inverting time-lapse data from an environmental remediation experiment near Rifle, Colorado. Similar trends observed in both our solution and another two-dimensional inversion are in accordance with previous findings about the IP effects due to subsurface microbial activity.

show abstract

Section: Methodsmentioning

confidence: 99%

3D induced-polarization data inversion for complex resistivity

et al. 2011

Self Cite

View full text Add to dashboard Cite

show abstract

“…Figure 1 978-1-4799-7639-3/15/$31.00 c 2015 IEEE depicts the marine CSEM. Marine CSEM is nowadays a well-known geophysical prospecting tool in the offshore environment and a commonplace in industry, examples of that can be found in [7], [9], [16], [21], [25]. …”

Section: Methodsmentioning

confidence: 99%

Parallel and numerical issues of the edge finite element method for 3D controlled-source electromagnetic surveys

Castillo-Reyes

Puente

Puzyrev

et al. 2015

2015 International Conference on Computing Systems and Telematics (ICCSAT)

View full text Add to dashboard Cite

Abstract-This paper deals with the most relevant parallel and numerical issues that arise when applying the Edge Element Method in the solution of electromagnetic problems in exploration geophysics. In this sense, in recent years the application of land and marine controlled-source electromagnetic (CSEM) surveys has gained tremendous interest among the offshore exploration community. This method is especially significant in detecting hydrocarbon in shallow/deep waters. On the other hand, in Finite Element Methods for solving electromagnetic field problems, the use of Edge Elements has become very popular. In fact, Edge Elements are often said to be a cure to many difficulties that are encountered (particularly eliminating spurious solutions) and are claimed to yield accurate results. CSEM, linear vectorial edge basis functions and its implementation on unstructured tetrahedral meshes are discussed. The use of it's kind of discretisation enables the representation of complex geological structures and allows local refinement in order to improve the solution's accuracy. A parallel shared memory approach is proposed to meet the high computational cost of EM modeling. Performance results and an convergence study are presented in order to validate our numerical method.

show abstract

“…1, and enhance formation-fluid tracking (Rector III 1995;Hoversten et al 2003;MacGregor et al 2007;Chen et al 2007;Hu et al 2009;Newman et al 2010;Moorkamp et al 2011;Abubakar et al 2012;Gao et al 2012;Lien 2013).…”

Section: Introductionunclassified

Synergizing Crosswell Seismic and Electromagnetic Techniques for Enhancing Reservoir Characterization

2016

View full text Add to dashboard Cite

SummaryIncreasing complexity of hydrocarbon projects and the request for higher recovery rates have driven the oil-and-gas industry to look for a more-detailed understanding of the subsurface formation to optimize recovery of oil and profitability. Despite the significant successes of geophysical techniques in determining changes within the reservoir, the benefits from individually mapping the information are limited. Although seismic techniques have been the main approach for imaging the subsurface, the weak density contrast between water and oil has made electromagnetic (EM) technology an attractive complement to improve fluid distinction, especially for high-saline water. This crosswell technology assumes greater importance for obtaining higher-resolution images of the interwell regions to more accurately characterize the reservoir and track fluid-front developments. In this study, an ensemble-Kalman-based history-matching framework is proposed for directly incorporating crosswell time-lapse seismic and EM data into the history-matching process. The direct incorporation of the time-lapse seismic and EM data into the history-matching process exploits the complementarity of these data to enhance subsurface characterization, to incorporate interwell information, and to avoid biases that may be incurred from separate inversions of the geophysical data for attributes. An extensive analysis with 2D and realistic 3D reservoirs illustrates the robustness and enhanced forecastability of critical reservoir variables. The 2D reservoir provides a better understanding of the connection between fluid discrimination and enhanced history matches, and the 3D reservoir demonstrates its applicability to a realistic reservoir. Historymatching enhancements (in terms of reduction in the historymatching error) when incorporating both seismic and EM data averaged approximately 50% for the 2D case, and approximately 30% for the 3D case, and permeability estimates were approximately 25% better compared with a standard history matching with only production data.

show abstract

Imaging CSEM data in the presence of electrical anisotropy

Cited by 145 publications

References 29 publications

3D induced-polarization data inversion for complex resistivity

3D induced-polarization data inversion for complex resistivity

Parallel and numerical issues of the edge finite element method for 3D controlled-source electromagnetic surveys

Synergizing Crosswell Seismic and Electromagnetic Techniques for Enhancing Reservoir Characterization

Contact Info

Product

Resources

About