Academic literature on the topic 'Estimation of Telluric-magnetotelluric Parameters'
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Journal articles on the topic "Estimation of Telluric-magnetotelluric Parameters"
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Zhang, P., R. G. Roberts, and L. B. Pedersen. "Magnetotelluric strike rules." GEOPHYSICS 52, no. 3 (March 1987): 267–78. http://dx.doi.org/10.1190/1.1442301.
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The distortion of the magnetotelluric impedance tensor by complex “near‐surface” structure leads to leakage between the elements of the tensor. The magnetotelluric impedance tensor for our principal model, which has both a local and a regional strike, can be written in the long‐period limit as a sum of the regional, undistorted impedance and a perturbed impedance. The latter can be written as a product of a local distortion (which can be regarded as thin‐sheet distortion in the long‐period range) tensor and the regional impedance. Local and regional strikes are found by rotating the impedance tensor into directions in which diagonal elements are proportional and column elements are proportional, respectively. The regional impedance tensor is calculated assuming that the strikes are uniquely defined. An example from a crystalline area with well conducting fracture zones illustrates the model concepts. A weighted least‐squares procedure is used for the estimation of distortion parameters.
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Yin, Changchun. "Inherent nonuniqueness in magnetotelluric inversion for 1D anisotropic models." GEOPHYSICS 68, no. 1 (January 2003): 138–46. http://dx.doi.org/10.1190/1.1543201.
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This paper investigates the inherent nonuniqueness in the inversion of magnetotelluric (MT) measurements over an earth with a layered anisotropic resistivity distribution. This kind of nonuniqueness arises from the fact that even accurate and complete data contain insufficient information to uniquely resolve the earth parameters. For a very simple anisotropic case, where all layers in the earth have at least one horizontal principal axis in common coinciding with the x‐ or y‐axis of the Cartesian coordinate system, the resolvable parameters or parameter combinations from MT surface observations are identified by analyzing the structure of the conductivity tensor of the earth and the differential equations the electromagnetic (EM) fields satify. It is found that for a layered anisotropic earth model, several parameters can be uniquely resolved from the MT inversion while others are nonresolvable. However, particular combinations of the nonresolvable parameters can be uniquely resolved. These theoretical findings on the parameter resolvability of MT anisotropic inversion are further verified by a number of numerical experiments using synthetic data and a nonlinear parameter estimation technique. For this purpose, I parameterize the resistivity tensor assigned to each layer of the earth with three principal resistivities and three Euler angles, and then use the three Euler angles, the logarithms of three principal resistivities, and the logarithmic thickness as inverse parameters. This guarantees that the layer thickness is positive and the resistivity tensor is positive‐definite, while at the same time the inverse parameters may span the whole real axis. Numerical inversion results for different anisotropic models also reveal the fact that the resolvable parameters and parameter combinations are invariant with respect to the starting model. This means that for different starting models, the inversion results for some earth parameters might be individually quite different; however, particular combinations of these parameters remain unchanged.
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Yee, E., P. R. Kosteniuk, and K. V. Paulson. "The reconstruction of the magnetotelluric impedance tensor: An adaptive parametric time‐domain approach." GEOPHYSICS 53, no. 8 (August 1988): 1080–87. http://dx.doi.org/10.1190/1.1442544.
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Magnetotelluric (MT) data processing for the estimation of the impedance tensor is usually carried out in the frequency domain using nonparametric methods of spectral analysis. In this paper, the impedance tensor is reconstructed using an adaptive parametric time‐domain approach, whereby the observed MT data are used directly in the estimation process without the need for a frequency‐domain transformation. In such a reconstruction, the impedance tensor is represented by a rational‐form or matrix‐fraction model. The parameters for this model are determined using a recursive instrumental variables (RIV) adaptation algorithm, allowing on‐line real‐time application. This adaptation algorithm is capable of providing consistent estimates for the impedance tensor from only the observed (i.e., noisy) MT field data and auxiliary information in the form of measurements of the contemporaneous components of the magnetic field at some remote site. Hence, the RIV algorithm provides a time‐domain implementation of the remote‐reference MT method, which has been applied with good success for unbiased impedance tensor determination in the frequency domain for moderate‐to‐high‐level noise conditions.
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Boisse, I., X. Dumusque, N. C. Santos, M. Oshagh, X. Bonfils, M. Montalto, G. Boué, and C. Lovis. "Stellar Variabilities: Challenges for the Detection and Characterization of Exoplanets." Proceedings of the International Astronomical Union 8, S293 (August 2012): 388–92. http://dx.doi.org/10.1017/s1743921313013227.
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AbstractThe photometric and RV techniques, although extremely efficient to detect and characterize planets, are, however, indirect techniques (as well as astrometry). Phenomena such as stellar pulsation, inhomogeneous convection, spots or magnetic cycles can prevent us from finding planets or they might degrade the parameters estimation. We will consider the challenges related to the knowledge of stellar activity for the next decade: detect telluric planets in the habitable zone of their stars (from G to M dwarfs), understand the activity in the low-mass end of M dwarf (on which will focus future near-infrared high-resolution spectrograph like SPIRou or CARMENES), limitation to the process of summing several transit observations (in order to characterize the atmospheric components) due to the variability of stellar activity (from the ground or with Spitzer or JWST), as well as the methods proposed and used to overcome this issue.
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Aboud, Essam, Aref Lashin, Faisal Zaidi, Abdulaziz Al-Bassam, Nassir Al Arifi, Mohamed Abu Anbar, and Emad Al-Homadhi. "Audio Magnetotelluric and Gravity Investigation of the High-Heat-Generating Granites of Midyan Terrane, Northwest Saudi Arabia." Applied Sciences 13, no. 6 (March 8, 2023): 3429. http://dx.doi.org/10.3390/app13063429.
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The Midyan Terrane (northwest Saudi Arabia) is characterized by the presence of a massive belt of radioactive granitic rocks and thick sedimentary cover near the coastal areas. The area is greatly influenced by the tectonic activities of the Red Sea and Gulf of Aqaba, implying its high potentiality of geothermal energy. In the present work, geophysical surveys, including audio magnetotelluric and gravity methods, were integrated to investigate the subsurface structural pattern of the study area, which identified regional deep and shallow fault systems and detected the subsurface geometry/extension of the granitic rocks as well as detecting the thickness of the sedimentary basins near the coastal area. A total number of 80 audio magnetotelluric and 246 gravity stations were recorded, analyzed, and interpreted. Two high-potential geothermal targets were indicated: high-heat-generating granites and thick anomalous sedimentary basins near the coastal areas. High-heat-generating granites are significant in terms of enhanced geothermal systems (EGSs) whereas sedimentary basins play a crucial role in the formation of conventional geothermal systems. Both areas require more exploration plans to evaluate the energy potential of geothermal reservoirs. The results also contribute to the identification of the subsurface orientation and geometry of radioactive granites, providing the necessary parameters to enhance a volumetric estimation for geothermal reserves.
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Maryadi, M., P. Bramanthyo, A. Zarkasyi, and H. Mizunaga. "Estimation of near-surface temperature in Suwawa Geothermal Prospect, Gorontalo, Sulawesi, Indonesia, based on magnetotelluric and artificial neural network." IOP Conference Series: Earth and Environmental Science 851, no. 1 (October 1, 2021): 012018. http://dx.doi.org/10.1088/1755-1315/851/1/012018.
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Abstract A geophysical survey using broadband magnetotelluric (MT) technology was carried out in Suwawa Geothermal Prospect Area, Gorontalo Province, Sulawesi Island, Indonesia. The target of that research is to evaluate the geothermal potential hidden below the surface, based on underground resistivity distribution. However, the information about resistivity alone is not enough to get a proper understanding of the geothermal system in this area. Another important subsurface feature that could be useful for the evaluation is temperature. In this study, an attempt to predict the subsurface temperature using resistivity and limited information from a shallow borehole thermogram was carried out. Employing the dependency between resistivity and temperature an indirect temperature estimator was built, thanks to the applicability of artificial neural network (ANN) to learn the pattern connecting both parameters. Comparing some neural network training data shows that the predictive powers of the calibrated neural network highly influenced by the geological difference between the location of borehole and MT station. The best trained ANN was then used to predict the temperature below the other MT stations. The result shows that a proper ANN architecture is important to improve the deeper temperature estimation. The best ANN estimator was obtained from the BT01 and AMT39 data pair, which has the highest correlation as well. This preliminary study gives useful insight into how resistivity could be an alternative tool to delineate the near-surface temperature profile, in order to get a more comprehensive image of the subsurface geothermal system.
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Ważny, Jakub, Michał Stefaniuk, and Adam Cygal. "Estimation of electrical resistivity using artificial neural networks: a case study from Lublin Basin, SE Poland." Acta Geophysica 69, no. 2 (March 1, 2021): 631–42. http://dx.doi.org/10.1007/s11600-021-00554-0.
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AbstractArtificial neural networks method (ANNs) is a common estimation tool used for geophysical applications. Considering borehole data, when the need arises to supplement a missing well log interval or whole logging—ANNs provide a reliable solution. Supervised training of the network on a reliable set of borehole data values with further application of this network on unknown wells allows creation of synthetic values of missing geophysical parameters, e.g., resistivity. The main assumptions for boreholes are: representation of similar geological conditions and the use of similar techniques of well data collection. In the analyzed case, a set of Multilayer Perceptrons were trained on five separate chronostratigraphic intervals of borehole, considered as training data. The task was to predict missing deep laterolog (LLD) logging in a borehole representing the same sequence of layers within the Lublin Basin area. Correlation between well logs data exceeded 0.8. Subsequently, magnetotelluric parametric soundings were modeled and inverted on both boreholes. Analysis showed that congenial Occam 1D models had better fitting of TM mode of MT data in each case. Ipso facto, synthetic LLD log could be considered as a basis for geophysical and geological interpretation. ANNs provided solution for supplementing datasets based on this analytical approach.
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McNeice, Gary W., and Alan G. Jones. "Multisite, multifrequency tensor decomposition of magnetotelluric data." GEOPHYSICS 66, no. 1 (January 2001): 158–73. http://dx.doi.org/10.1190/1.1444891.
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Accurate interpretation of magnetotelluric data requires an understanding of the directionality and dimensionality inherent in the data, and valid implementation of an appropriate method for removing the effects of shallow, small‐scale galvanic scatterers on the data to yield responses representative of regional‐scale structures. The galvanic distortion analysis approach advocated by Groom and Bailey has become the most adopted method, rightly so given that the approach decomposes the magnetotelluric impedance tensor into determinable and indeterminable parts, and tests statistically the validity of the galvanic distortion assumption. As proposed by Groom and Bailey, one must determine the appropriate frequency‐independent telluric distortion parameters and geoelectric strike by fitting the seven‐parameter model on a frequency‐by‐frequency and site‐by‐site basis independently. Although this approach has the attraction that one gains a more intimate understanding of the data set, it is rather time‐consuming and requires repetitive application. We propose an extension to Groom‐Bailey decomposition in which a global minimum is sought to determine the most appropriate strike direction and telluric distortion parameters for a range of frequencies and a set of sites. Also, we show how an analytically‐derived approximate Hessian of the objective function can reduce the required computing time. We illustrate application of the analysis to two synthetic data sets and to real data. Finally, we show how the analysis can be extended to cover the case of frequency‐dependent distortion caused by the magnetic effects of the galvanic charges.
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Kushnir, Anton, Tatiana Burakhovych, Volodymyr Ilyenko, and Bogdan Shyrkov. "GEODYNAMICS." GEODYNAMICS 2(31)2021, no. 2(31) (December 29, 2021): 92–101. http://dx.doi.org/10.23939/jgd2021.02.092.
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In order to study the deep structure of the southwestern Ukrainian Carpathians, where the Carpathian conductivity anomaly is located, in 2015 and 2020, modern synchronous magnetotelluric studies were carried out on the profiles of Mukachevo-Skole, Seredne-Borynya and Karpatsky at twenty-three points and the spatiotemporal distribution and the electric field on the Earth's surface, which can be used to assess the conductivity and geoelectrical structure of the region, was obtained. Processing of experimental data was performed using the software PRC_MTMV, which provides a common noise-canceling impedance estimation for synchronous magnetotellurical recordings. Curves of apparent electrical resistivity (amplitude values and phases of impedance) from 10 to 10000 s were obtained reliably. A joint analysis of the apparent resistivity and impedance phases and the formal interpretation of the deep magnetotellurical sounding curves using the Niblett transformation indicate the presence of the spatially inhomogeneous conductor both in the earth's crust and in the upper part of the upper mantle. The chain of local conductive sections in the earth's crust coincides with the axial part of the Carpathian conductivity anomaly. High conductivity of the upper mantle was recorded in the Ukrainian Carpathians from the Transcarpathian Depression to the Skiba cover. It is shown that it is not a homogeneous layer, there is a general deepening of the upper edge to the northeast from 40-60 km (Transcarpathian depression) to 90-100 km (Krosno cover). Sharp deepening along the Porkulets and Dukla covers is revealed. Information about the existence of a deep conductor and its parameters should be the basis for quantitative interpretation and construction of the 3D deep geoelectrical model.
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LaTorraca, G. A., T. R. Madden, and J. Korringa. "An analysis of the magnetotelluric impedance for three‐dimensional conductivity structures." GEOPHYSICS 51, no. 9 (September 1986): 1819–29. http://dx.doi.org/10.1190/1.1442228.
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The eigenstate analysis of Lanczos, also known as singular value decomposition (SVD), is used to define eight parameters which uniquely describe the magnetotelluric impedance Z. These parameters are independent of a priori assumptions about Z and can be interpreted in terms of three‐dimensional conductivity structures. Through SVD, the impedance is represented by two characteristic states. These states consist of two pairs (E and H) of complex vectors and two corresponding, real, singular values which together describe the extremal properties of Z. The singular values are the maximum and minimum |E|/|H| ratios possible at the observation site and therefore yield the true maximum and minimum apparent resistivities. We use a variation of SVD analysis by incorporating phases in the singular values, which are then called characteristic values. These phases reflect the delay (caused by the earth’s conductivity) of the electric fields relative to their associated magnetic fields. In this analysis of Z, the characteristic values contain four parameters, two singular values and two phases. The characteristic vectors contain the remaining four parameters, two principal axis directions and two ellipticities. The principal axis directions for the E and H vectors need not be at right angles as in biorthogonal analysis. The deviation of these axes from orthogonality is called the “skew angle” S. From a model by Park, we have found S to be closely related to distortions in the telluric current system caused by current gathering due to a good conductor. From the same model, we have found the ellipticity parameters to be the largest in regions of high current distortion and at the shorter periods. Consequently, we speculate that the ellipticity parameters are associated with local induction.
Conference papers on the topic "Estimation of Telluric-magnetotelluric Parameters"
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Soyer, W., R. Mackie, and F. Miorelli. "Optimizing the Estimation of Distortion Parameters in Magnetotelluric 3D Inversion." In 80th EAGE Conference and Exhibition 2018. Netherlands: EAGE Publications BV, 2018. http://dx.doi.org/10.3997/2214-4609.201801399.
Full textReports on the topic "Estimation of Telluric-magnetotelluric Parameters"
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Egbert, G. D. New approaches to estimation of magnetotelluric parameters. Office of Scientific and Technical Information (OSTI), January 1991. http://dx.doi.org/10.2172/7269806.
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Egbert, G., and J. Booker. New approaches to estimation of magnetotelluric parameters. Office of Scientific and Technical Information (OSTI), January 1990. http://dx.doi.org/10.2172/6864411.
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Egbert, G. D. New approaches to estimation of magnetotelluric parameters. Final technical report, 1 August 1989--31 July 1991. Office of Scientific and Technical Information (OSTI), December 1991. http://dx.doi.org/10.2172/10176032.
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