Geophysical modeling via simultaneous joint inversion of seismic, gravity, and electromagnetic data: Application to prestack depth imaging

Colombo, Daniele; Stefano, M. De

doi:10.1190/1.2715057

Cited by 140 publications

(57 citation statements)

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“…This could be done for multiple configurations of measurements, e.g., borehole-to-borehole, borehole-to-surface and surface-to-surface. Recent reported work [12] on simultaneous inversions already lends some confirmation to this expectation. We can also foresee, generalizing the concept of 4-D seismic discussed above to include electromagnetic time-lapse data to provide almost continuous monitoring of the reservoir fluid pathways.…”

Section: Inversion Of Seismic and Electromagnetic Wavefieldssupporting

confidence: 77%

Computational challenges in the search for and production of hydrocarbons

Ullo

2008

Sci Model Simul

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The exploration and production of oil and natural gas facing unprecedented demands for a secure energy supply worldwide is continuing a long trend to develop and adopt new technologies to help meet this challenge. For many oilfield technologies mathematical modeling and simulation have played a truly enabling role throughout their development and eventually their commercial adoption. Looking ahead, the vision of data-driven "intelligent" oilfields designed and operated using simulations to reach higher recovery factors is becoming a reality. Very little of this vision would be possible let alone make sense without the capability to move information across several simulation domains. We will examine several successes of modeling and simulation as well as current limitations which need to be addressed by new developments in theory, modeling, algorithms and computer hardware. Finally, we will mention several fundamental issues affecting oil recovery for which increased understanding is needed from new experimental methods coupled to simulation.

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Section: Inversion Of Seismic and Electromagnetic Wavefieldssupporting

confidence: 77%

Computational challenges in the search for and production of hydrocarbons

Ullo

2008

Sci Model Simul

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“…Furthermore, Panzner et al (2016) use a sequential analysis of the different data sets, where inversions are performed individually, but information is exchanged between the separate inversions. These kinds of integrated workflows are often used in hydrocarbon exploration instead of full joint inversions, either because a full joint inversion is considered intractable (Um et al 2014), or because the main goal of the inversion is to generate improved models for migrating seismic reflection data (Colombo and Stefano 2007;Colombo et al 2008;De Stefano et al 2011;Colombo et al 2014;Cui et al 2015;Takam Takougang et al 2015) or full waveform inversion (Zerilli et al 2016). Heincke et al (2017), in contrast, perform a full joint inversion of all three data sets.…”

Section: Joint Inversion With Direct Parameter Couplingmentioning

confidence: 99%

Integrating Electromagnetic Data with Other Geophysical Observations for Enhanced Imaging of the Earth: A Tutorial and Review

Moorkamp

2017

Surv Geophys

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In this review, I discuss the basic principles of joint inversion and constrained inversion approaches and show a few instructive examples of applications of these approaches in the literature. Starting with some basic definitions of the terms joint inversion and constrained inversion, I use a simple three-layered model as a tutorial example that demonstrates the general properties of joint inversion with different coupling methods. In particular, I investigate to which extent combining different geophysical methods can restrict the set of acceptable models and under which circumstances the results can be biased. Some ideas on how to identify such biased results and how negative results can be interpreted conclude the tutorial part. The case studies in the second part have been selected to highlight specific issues such as choosing an appropriate parameter relationship to couple seismic and electromagnetic data and demonstrate the most commonly used approaches, e.g., the cross-gradient constraint and direct parameter coupling. Throughout the discussion, I try to identify topics for future work. Overall, it appears that integrating electromagnetic data with other observations has reached a level of maturity and is starting to move away from fundamental proof-of-concept studies to answering questions about the structure of the subsurface. With a wide selection of coupling methods suited to different geological scenarios, integrated approaches can be applied on all scales and have the potential to deliver new answers to important geological questions.

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“…Simultaneous joint inversion (Colombo and De Stefano, 2007) is an emerging tomographic technique that allows exploitation of multiple data types linked through the earth's structural or petrophysical properties. Used as static solver, the tool allows even replacement of uphole shots by more cost-effective surface soundings such as gravity, electromagnetics, and/or Rayleigh waves from the seismic data set to constrain a velocity model.…”

Section: Simultaneous Joint Inversion Staticsmentioning

confidence: 99%