Sub‐basalt depth imaging using simultaneous joint inversion of seismic and electromagnetic (MT) data: A CRB field study

Colombo, Daniele; Mantovani, M.; Hallinan, S.; Virgilio, M.

doi:10.1190/1.3063900

Cited by 24 publications

(7 citation statements)

References 9 publications

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“…For example, Colombo et al (2008), Hu et al (2009), and Moorkamp et al (2011) introduced the joint inversion approach to enforce the structural similarity between seismic velocity and resistivity of the inversion domain. Hoversten et al (2006), Chen et al (2007), and Gao et al (2012) presented another joint inversion approach that links the seismic properties and resistivity using a variety of petrophysical relations.…”

Section: Introductionmentioning

confidence: 99%

Simultaneous estimation of permeability and porosity from joint inversion of time-lapse seismic, electromagnetic, and production data

Liang

Abubakar

Habashy

2013

SEG Technical Program Expanded Abstracts 2013

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We present an approach for the simultaneous estimation of permeability and porosity from time-lapse seismic, time-lapse electromagnetic, and production data. Permeability and porosity are some of the most important parameters for reservoir characterization because of their significant influence over oil recovery. Both permeability and porosity has a big footprint on the distribution of saturation and pressure in the reservoir during production, which can be snapshot by the time-lapse seismic and time-lapse electromagnetic measurements. Production data is the traditional source used for reservoir model conditioning but only provides limited constraint to the reservoir model that is very localized to the near-wellbore regions. In contrast, time-lapse seismic and time-lapse electromagnetic can impose additional constraints to the reservoir model conditioning problem covering the inter-well regions. We have developed a reservoir centric workflow to allow jointly invert these multiphysical data. The non-uniqueness of this inverse problem is hence effectively reduced. We use a synthetic case to demonstrate that the proposed approach can significantly improve the estimation of permeability and porosity as well as the fluid-front movement monitoring.

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Section: Introductionmentioning

confidence: 99%

Simultaneous estimation of permeability and porosity from joint inversion of time-lapse seismic, electromagnetic, and production data

Liang

Abubakar

Habashy

2013

SEG Technical Program Expanded Abstracts 2013

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“…The structure similarity among models is encouraged by constraining the gradients to be parallel to each other (Gallardo and Meju 2004, Tryggvason and Linde 2006. This approach has been the most successful with several applications performed in the framework of velocity model building for seismic imaging , Colombo et al 2008, Mantovani and Dugoujard 2011, Ceci et al 2014, near-surface characterization (Colombo et al 2016) and hydrological studies (Doetsch et al 2010). The relatively weak constraints introduced by the cross-gradient operator provide one of the most robust approaches for performing geophysical joint inversion.…”

Section: Introductionmentioning

confidence: 99%

Analysis of inter-domain coupling constraints for multi-physics joint inversion

Rovetta¹,

Colombo²

2018

Inverse Problems

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We illustrate and compare mathematical methods used to perform joint interpretation, or inversion, of multiple geophysical data for a common Earth model with linked properties. The joint inversion methodology is described from the point of view of a linearized inversion approach subject to various types of structure and rock-physics operators. Covariance matrixes are used to take care of data, model and constraints uncertainties in the inversion process. Demonstration of the effectiveness of the various approaches is performed by means of synthetic data from a complex near-surface model where the limitations of using one single geophysical method and the benefits deriving from the integration of multiple methods can be easily assessed. The combination of multiple operators, acting on the structure and property similarities of the parameter distributions through defined functions, provides the best reconstruction results and helps the convergence of the solution toward the global minima of the multimodal objective function.

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“…Marine CSEM data have traditionally been used to map resistivity anomalies due to hydrocarbon accumulations or salt structures in the upper few kilometers of the subsurface (e.g., Eidesmo et al, 2002;Morten et al, 2013). Colombo et al (2008) managed to improve subsurface imaging by jointly inverting land seismic and MT data to derive the subbasalt velocity structure. Marine subbasalt imaging incorporating seismic traveltime, gravity, and marine MT data is demonstrated by Jegen et al (2009) and Heincke et al (2014), using 1D and 3D joint inversion algorithms, respectively.…”

Section: Introductionmentioning

confidence: 99%

Integrated seismic and electromagnetic model building applied to improve subbasalt depth imaging in the Faroe-Shetland Basin

et al. 2016

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Subbasalt imaging has gained significant interest in the last two decades, driven by the urge to better understand the geologic structures beneath volcanic layers, which can be up to several kilometers thick. This understanding is crucial for the development and risking of hydrocarbon play models in these areas. However, imaging based on the reflection seismic data alone suffers from severe amplitude transmission losses and interbed multiples in the volcanic sequence, as well as from poor definition of the subbasalt velocity structure. We have considered a sequential imaging workflow, in which the resistivity model from joint controlled-source electromagnetic and magnetotelluric data inversion was used to update the velocity model and to improve the structural definition in the migrated seismic image. The quantitative link between resistivity and velocity was derived from well data. The workflow used standard procedures for seismic velocity analysis, electromagnetic data inversion, and well analysis, and thereby allowed detail control and input based on additional geophysical knowledge and experience in each domain. Using real data sets from the Faroe-Shetland Basin, we can demonstrate that the integration of seismic and electromagnetic data significantly improved the imaging of geologic structures covered by up to several-kilometer-thick extended volcanic sequences. The improved results might alter the interpretation compared with the imaging results from seismic data alone.

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Sub‐basalt depth imaging using simultaneous joint inversion of seismic and electromagnetic (MT) data: A CRB field study

Cited by 24 publications

References 9 publications

Simultaneous estimation of permeability and porosity from joint inversion of time-lapse seismic, electromagnetic, and production data

Simultaneous estimation of permeability and porosity from joint inversion of time-lapse seismic, electromagnetic, and production data

Analysis of inter-domain coupling constraints for multi-physics joint inversion

Integrated seismic and electromagnetic model building applied to improve subbasalt depth imaging in the Faroe-Shetland Basin

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