Two dimensional joint inversion of direct current resistivity, radio-magnetotelluric and seismic refraction data: An application from Bafra Plain, Turkey

Demirci, Ismail; Candansayar, M. Emin; Vafidis, A.; Soupios, Pantelis

doi:10.1016/j.jappgeo.2017.03.002

Cited by 32 publications

(10 citation statements)

References 48 publications

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“…We apply the Gauss–Newton optimization algorithm to estimate the model parameter correction vector, and cooling approximation is used to estimate the regularization parameters [ 46 ]. Regarding the joint inversion approach, the cross-gradient (structural) constraint is applied as suggested by Gallardo and Meju [ 11 ] and Ismail et al [ 16 , 17 ]. The cross-gradient algorithm considers that the gradient of the model parameters in the joint inversion must be parallel, non-parallel, or equal to zero, which are essential criteria required to satisfy the algorithm.…”

Section: Methodsmentioning

confidence: 99%

“…However, it is unusual to have a unique solution due to the ill-posed characteristics of the most geophysical inverse problem. To reduce uncertainties associated with the inversion of a dataset belonging to a single geophysical method, many researchers have applied the concept of local optimization methods and joint inversion [ 11 , 12 , 13 , 14 , 15 , 16 , 17 ] or data integration of more than one method, which provides better model resolutions than individual inversions [ 18 , 19 , 20 , 21 , 22 ]. For the local optimization method, the structural data coupling approach, which involves the cross-gradient constraint method, was applied [ 11 ].…”

Section: Introductionmentioning

confidence: 99%

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Application of Combined Local and Global Optimization Algorithms in Joint Interpretation of Direct Current Resistivity and Seismic Refraction Data: A Case Study of Dammam Dome, Eastern Saudi Arabia

Edigbue

Demirci

Akca

et al. 2022

Sensors

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The main geological structures in the Dammam Dome are defined by integrating geophysical measurements and applying new methodological approaches. Dammam Dome is characterized by a well-developed fracture/joints system; thus, high complexity of the subsurface is expected. Direct Current Resistivity (DCR) and Seismic Refraction (SR) geophysical survey aimed to map the Dammam dome’s near-surface features. The geophysical data were acquired along two profiles in the northern part of Dammam Dome. To maximize the results from conducting DCR and SR measurements over a complex area, a combined local and global optimization algorithm was used to obtain high-resolution near-surface images in resistivity and velocity models. The local optimization technique involves individual and joint inversion of the DCR and SR data incorporating appropriate regularization parameters, while the global optimization uses single and multi-objective genetic algorithms in model parameter estimation. The combined algorithm uses the output from the local optimization method to define a search space for the global optimization algorithm. The results show that the local optimization produces satisfactory inverted models, and that the global optimization algorithm improves the local optimization results. The joint inversion and processing of the acquired data identified two major faults and a deformed zone with an almost N–S direction that corresponds with an outcrop were mapped in profile one, while profile two shows similar anomalies in both the resistivity and velocity models with the main E–W direction. This study not only demonstrates the capability of using the combined local and global optimization multi-objectives techniques to estimate model parameters of large datasets (i.e., 2D DCR and SR data), but also provides high-resolution subsurface images that can be used to study structural features of the Dammam Dome.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Application of Combined Local and Global Optimization Algorithms in Joint Interpretation of Direct Current Resistivity and Seismic Refraction Data: A Case Study of Dammam Dome, Eastern Saudi Arabia

Edigbue

Demirci

Akca

et al. 2022

Sensors

Self Cite

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“…These assumptions can be proven by comparison of SR data with borehole measurements, such as seismic crosswell tomography. Actually, the SR method is commonly used in groundwater and contaminated site investigation (Carpenter et al, 1991;Elgamal et al, 2004;Soupios et al, 2007;Carpenter et al, 2013;Vafidis et al, 2014;Demirci et al, 2017) because of its relative simplicity and adaptability for shallow zone investigation. Moreover, when the target of the investigation is the definition of possible velocity anomalies related to localized geological or geo-mechanical variations within the survey area, the seismic tomography (ST) represents an additional tool to be used.…”

Section: Sr and St Explorationmentioning

confidence: 99%

3D geophysical imaging for site-specific characterization plan of an old landfill

et al. 2018

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“…For example, the magnetotelluric data will have reasonable sensitivity to the thickness of the top layer, and this information will help to constrain the seismic model, which in turn helps to constrain the thickness of the second layer. Thus in a real-world joint inversion, it is not always as clear which method dominates the resolution properties, and in many cases, different methods drive the inversion in different part of the model domain (Jegen et al 2009;Heincke et al 2014;Demirci et al 2017). I will discuss some of these issues in the application section; for now I will continue with this simplistic example, as it distils many important aspects of joint inversion.…”

Section: Structural 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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Two dimensional joint inversion of direct current resistivity, radio-magnetotelluric and seismic refraction data: An application from Bafra Plain, Turkey

Cited by 32 publications

References 48 publications

Application of Combined Local and Global Optimization Algorithms in Joint Interpretation of Direct Current Resistivity and Seismic Refraction Data: A Case Study of Dammam Dome, Eastern Saudi Arabia

Application of Combined Local and Global Optimization Algorithms in Joint Interpretation of Direct Current Resistivity and Seismic Refraction Data: A Case Study of Dammam Dome, Eastern Saudi Arabia

3D geophysical imaging for site-specific characterization plan of an old landfill

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

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