text:
@article{hermans2016,
  title = {Covariance-Constrained Difference Inversion of Time-Lapse Electrical Resistivity Tomography Data},
  volume = {81},
  doi = {10.1190/geo2015-0491.1},
  number = {5},
  journal = {GEOPHYSICS},
  author = {Hermans, Thomas and Kemna, Andreas and Nguyen, Fr\'ed\'eric},
  year = {2016},
  pages = {E311-E322},
  eprint = {http://dx.doi.org/10.1190/geo2015-0491.1}
}

@article{zhang2012,
  title = {A Regularized Three-Dimensional Magnetotelluric Inversion with a Minimum Gradient Support Constraint},
  volume = {189},
  number = {1},
  journal = {Geophysical Journal International},
  author = {Zhang, Luolei and Koyama, Takao and Utada, Hisashi and Yu, Peng and Wang, Jialin},
  year = {2012},
  pages = {296-316},
  publisher = {{Oxford University Press}}
}

@article{blaschek2008,
  title = {A New Sensitivity-Controlled Focusing Regularization Scheme for the Inversion of Induced Polarization Data Based on the Minimum Gradient Support},
  volume = {73},
  number = {2},
  journal = {Geophysics},
  author = {Blaschek, R and H\"ordt, A and Kemna, A},
  year = {2008},
  pages = {F45-F54},
  publisher = {{Society of Exploration Geophysicists}}
}

@article{zhdanov1999,
  title = {Focusing Geophysical Inversion Images},
  volume = {64},
  doi = {10.1190/1.1444596},
  number = {3},
  journal = {GEOPHYSICS},
  author = {Portniaguine, Oleg and Zhdanov, Michael S.},
  year = {1999},
  pages = {874-887},
  eprint = {http://dx.doi.org/10.1190/1.1444596}
}

@inproceedings{denli2009,
  title = {Double-Difference Elastic Waveform Tomography in the Time Domain},
  booktitle = {2009 {{SEG Annual Meeting}}},
  author = {Denli, Huseyin and Huang, Lianjie and others},
  year = {2009},
  organization = {{Society of Exploration Geophysicists}}
}

@article{asnaashari2015,
  title = {Time-Lapse Seismic Imaging Using Regularized Full-Waveform Inversion with a Prior Model: Which Strategy?},
  volume = {63},
  number = {1},
  journal = {Geophysical prospecting},
  author = {Asnaashari, Amir and Brossier, Romain and Garambois, St\'ephane and Audebert, Fran{\c c}ois and Thore, Pierre and Virieux, Jean},
  year = {2015},
  pages = {78-98}
}

@inproceedings{watanabe2004,
  title = {Differential Waveform Tomography for Time-Lapse Crosswell Seismic Data with Application to Gas Hydrate Production Monitoring},
  booktitle = {2004 {{SEG Annual Meeting}}},
  author = {Watanabe, Toshiki and Shimizu, Shoshiro and Asakawa, Eiichi and Matsuoka, Toshifumi and others},
  year = {2004},
  organization = {{Society of Exploration Geophysicists}}
}

@article{hicks2016,
  title = {Time-Lapse Full-Waveform Inversion as a Reservoir-Monitoring Tool \textemdash{}- {{A North Sea}} Case Study},
  volume = {35},
  number = {10},
  journal = {The Leading Edge},
  author = {Hicks, Erik and Hoeber, Henning and Houbiers, Marianne and Lescoffit, S\'everine Pannetier and Ratcliffe, Andrew and Vinje, Vetle},
  year = {2016},
  pages = {850-858},
  publisher = {{Society of Exploration Geophysicists}}
}

@inproceedings{felixes2015,
  title = {Using Common Information in Compressive Time-Lapse Full-Waveform Inversion},
  booktitle = {77th {{EAGE Conference}} and {{Exhibition}} 2015},
  author = {Oghenekohwo, Felix and Kumar, Rajiv and Esser, Ernie and Herrmann, Felix J},
  year = {2015}
}

@article{zhdanov2002,
  title = {Geophysical Inverse Theory and Regularization Problems},
  author = {Zhdanov, M S},
  year = {2002},
  publisher = {{Elsevier}}
}

@article{maharramov2016,
  title = {Time-Lapse Inverse Theory with Applications},
  volume = {81},
  number = {6},
  journal = {Geophysics},
  author = {Maharramov, Musa and Biondi, Biondo L and Meadows, Mark A},
  year = {2016},
  pages = {R485-R501},
  publisher = {{Society of Exploration Geophysicists}}
}

@inproceedings{reparametrized2016,
  title = {Joint Reparametrized Time-Lapse Full-Waveform Inversion},
  doi = {10.1190/segam2016-13879371.1},
  booktitle = {{{SEG Technical Program Expanded Abstracts}} 2016},
  author = {Alemie, Wubshet and Sacchi, Mauricio},
  year = {2016},
  pages = {1309-1314},
  eprint = {http://library.seg.org/doi/pdf/10.1190/segam2016-13879371.1}
}

@article{surTotalVariationMinimization2015,
  title = {Total Variation Minimization for Spectrum Interpolation in Quasiperiodic Noise Removal},
  journal = {https://members.loria.fr/FSur/software/ACARPENOS/note\_TVmin.pdf},
  author = {Sur, Frederic},
  year = {2015},
  pages = {6},
  file = {/home/kazeiv/Zotero/storage/KC7JA6CB/Sur - Total variation minimization for spectrum interpol.pdf;/home/kazeiv/Zotero/storage/LWCNQI54/Sur - Total variation minimization for spectrum interpol.pdf}
}

@inproceedings{kurzmann2016,
  address = {Cham},
  title = {Seismic {{Applications}} of {{Full Waveform Inversion}}},
  isbn = {978-3-319-47066-5},
  abstract = {Full waveform inversion (FWI) is a powerful imaging technique which exploits the richness of seismic waveforms. We further developed FWI to obtain multi-parameter images at high resolution. Here, we involve physical parameters, such as velocities and attenuation of seismic waves as well as mass density, which are essential for a reliable petrophysical characterization of subsurface structures in hydrocarbon exploration, geotechnical applications and underground constructions. Referring to this, we successfully applied FWI to field datasets recorded in the Black Sea and in the shallow-water area of a river delta in the Atlantic Ocean. We obtained detailed subsurface images containing rock formations which might be potential gas deposits. Additionally, we performed synthetic studies as preparatory steps to verify methodological improvements for further field-data applications. Here, we demonstrate resolution capabilities of FWI for imaging geological structures beneath salt bodies, investigate strategies to recover attenuation information from seismic data and perform a joint inversion of surface waves to image the very shallow subsurface.},
  booktitle = {High {{Performance Computing}} in {{Science}} and {{Engineering}} 16},
  publisher = {{Springer International Publishing}},
  author = {Kurzmann, A. and Ga\ss{}ner, L. and Thiel, N. and Kunert, M. and Shigapov, R. and Wittkamp, F. and Bohlen, T. and Metz, T.},
  editor = {Nagel, Wolfgang E. and Kr\"oner, Dietmar H. and Resch, Michael M.},
  year = {2016},
  pages = {647-665}
}

@book{claerbout1985fundamentals,
	title={Fundamentals of geophysical data processing},
	author={Claerbout, Jon F},
	year={1985},
	publisher={Blackwell scientific publications}
}

@book{claerbout1985,
  title = {Imaging the {{Earth}}'s {{Interior}}},
  abstract = {@book\{claerbout1985imaging,
  title=\{Imaging the earth's interior\},
  author=\{Claerbout, Jon F\},
  volume=\{1\},
  year=\{1985\},
  publisher=\{Blackwell scientific publications Oxford\}
\}},
  publisher = {{Blackwell scientific publications}},
  author = {Claerbout, Jon F},
  year = {1985},
  file = {/home/kazeiv/Zotero/storage/RBLKRXYN/Claerbout - Imaging the Earth's Interior.pdf}
}

@book{zotero-246,
  type = {Book}
}

@article{xuAnellipticApproximationGeometric2018,
  title = {An Anelliptic Approximation for Geometric Spreading in Transversely Isotropic and Orthorhombic Media},
  volume = {83},
  issn = {0016-8033, 1942-2156},
  doi = {10.1190/geo2017-0038.1},
  language = {en},
  number = {1},
  journal = {GEOPHYSICS},
  author = {Xu, Shibo and Stovas, Alexey and Sripanich, Yanadet},
  month = jan,
  year = {2018},
  pages = {C37-C47},
  file = {/home/kazeiv/Zotero/storage/WJNKS3Y7/Xu et al. - 2018 - An anelliptic approximation for geometric spreadin.pdf}
}

@article{xuNewParameterizationAcoustic2017,
  title = {A New Parameterization for Acoustic Orthorhombic Media},
  volume = {82},
  issn = {0016-8033, 1942-2156},
  doi = {10.1190/geo2017-0215.1},
  abstract = {We have defined a group of new parameterizations for P-wave in acoustic orthorhombic (ORT) media with three cross-term normal moveout velocities and three cross-term anellipticity parameters. The corresponding perturbationbased approximations for traveltime in ORT model are developed using the new parameterizations. The perturbation coefficients are computed by solving the eikonal equation in corresponding parameterization. Eight types of parameterization are defined based on the different elliptical background model and selection of anellipticity parameters. As the traveltime can be converted from the group velocity inverse, the sensitivity of the group velocity inverse to anellipticity parameters is analyzed for different parameterizations and different range of offsets. To stabilize the perturbation series and improve the accuracy, the Shanks transform is applied. From the comparison of traveltime after the Shanks transform using different parameterizations, we have concluded that the parameterization with vertical, two horizontal velocities, and three cross-term anellipticity parameters results in the best accuracy of traveltime function for P-wave in acoustic ORT medium.},
  language = {en},
  number = {6},
  journal = {GEOPHYSICS},
  author = {Xu, Shibo and Stovas, Alexey},
  month = nov,
  year = {2017},
  pages = {C229-C240},
  file = {/home/kazeiv/Zotero/storage/AI4KRY2C/Xu and Stovas - 2017 - A new parameterization for acoustic orthorhombic m.pdf}
}

@article{stovasAzimuthallyDependentKinematic2015,
  title = {Azimuthally Dependent Kinematic Properties of Orthorhombic Media},
  volume = {80},
  issn = {0016-8033, 1942-2156},
  doi = {10.1190/geo2015-0288.1},
  abstract = {An orthorhombic velocity model covers anisotropy and vertical/horizontal heterogeneity in the uniform 3D framework. It is important to define the azimuthal dependence of kinematic parameters of this model in the phase and group domains. I have derived equations for azimuthal dependent anellipticity in orthorhombic media and a simple equation to link the group and phase azimuths at zero horizontal slowness projection (zero offset). I found that the orthorhombic media cannot be treated as azimuthally dependent transversely isotropic media. To define the effective kinematic properties from a multilayered orthorhombic medium is a nontrivial task, and I have developed an approximate leastsquares solution for that problem. Numerical examples with the orthorhombic model and its special cases (a transversely isotropic model with vertical and horizontal symmetry axes and an elliptical isotropic model) were used to illustrate the effect of the individual orientation of symmetry planes on the effective kinematic properties.},
  language = {en},
  number = {6},
  journal = {GEOPHYSICS},
  author = {Stovas, Alexey},
  month = nov,
  year = {2015},
  pages = {C107-C122},
  file = {/home/kazeiv/Zotero/storage/XP7UTAXI/Stovas - 2015 - Azimuthally dependent kinematic properties of orth.pdf}
}

@article{schoenbergOrthorhombicMediaModeling1997,
  title = {Orthorhombic Media: {{Modeling}} Elastic Wave Behavior in a Vertically Fractured Earth},
  volume = {62},
  issn = {0016-8033, 1942-2156},
  shorttitle = {Orthorhombic Media},
  doi = {10.1190/1.1444297},
  abstract = {Vertical fractures and horizontal fine layering combine to form a long-wavelength equivalent orthorhombic medium. Such media constitute a subset of the set of all orthorhombic media. Orthorhombic elastic symmetry is the lowest symmetry for which the slowness surface (the solution of the Christoffel equation) is bicubic rather than sextic. Various properties of orthorhombic media, such as the number and location of conical points and longitudinal directions, may be derived from the slowness surface or, because of its bicubic character, the squared slowness surface, which is a cubic surface. From the occurrence and angular orientation of some of these distinctive features, conclusions can be drawn with respect to the properties of the medium and to the parameters of the assumed underlying causes of the anisotropy. The estimation of these more subtle properties gains greater importance with the proliferation of multiazimuthal seismic surveys and the ability to drill along ever-more complicated 3-D well trajectories.},
  language = {en},
  number = {6},
  journal = {GEOPHYSICS},
  author = {Schoenberg, Michael and Helbig, Klaus},
  month = nov,
  year = {1997},
  pages = {1954-1974},
  file = {/home/kazeiv/Zotero/storage/QE8KC4VV/Schoenberg and Helbig - 1997 - Orthorhombic media Modeling elastic wave behavior.pdf}
}

@article{prieuxMultiparameterFullWaveform2013,
  title = {Multiparameter Full Waveform Inversion of Multicomponent Ocean-Bottom-Cable Data from the {{Valhall}} Field. {{Part}} 2: Imaging Compressive-Wave and Shear-Wave Velocities},
  volume = {194},
  issn = {0956-540X},
  shorttitle = {Multiparameter Full Waveform Inversion of Multicomponent Ocean-Bottom-Cable Data from the {{Valhall}} Field. {{Part}} 2},
  doi = {10.1093/gji/ggt178},
  abstract = {Multiparameter elastic full waveform inversion (FWI) is a promising technology that allows inferences to be made on rock and fluid properties, which thus narrows the gap between seismic imaging and reservoir characterization. Here, we assess the feasibility of 2-D vertical transverse isotropic visco-elastic FWI of wide-aperture multicomponent ocean-bottom-cable data from the Valhall oil field. A key issue is to design a suitable hierarchical data-driven and model-driven FWI workflow, the aim of which is to reduce the nonlinearity of the FWI. This nonlinearity partly arises because the shear (S) wavespeed can have a limited influence on seismic data in marine environments. In a preliminary stage, visco-acoustic FWI of the hydrophone component is performed to build a compressional (P)-wave velocity model, a density model and a quality-factor model, which provide the necessary background models for the subsequent elastic inversion. During the elastic FWI, the P and S wavespeeds are jointly updated in two steps. First, the hydrophone data are inverted to mainly update the long-to-intermediate wavelengths of the S wavespeeds from the amplitude-versus-offset variations of the P\textendash{}P reflections. This S-wave velocity model is used as an improved starting model for the subsequent inversion of the better-resolving data recorded by the geophones. During these two steps, the P-wave velocity model is marginally updated, which supports the relevance of the visco-acoustic FWI results. Through seismic modelling, we show that the resulting visco-elastic model allows several P-to-S converted phases recorded on the horizontal-geophone component to be matched. Several elastic quantities, such as the Poisson ratio, and the ratio and product between the P and S wavespeeds, are inferred from the P-wave and S-wave velocity models. These attributes provide hints for the interpretation of an accumulation of gas below lithological barriers.},
  language = {en},
  number = {3},
  journal = {Geophysical Journal International},
  author = {Prieux, Vincent and Brossier, Romain and Operto, St\'ephane and Virieux, Jean},
  month = sep,
  year = {2013},
  pages = {1665-1681},
  file = {/home/kazeiv/Zotero/storage/LDH9QHR2/Prieux et al_2013_Multiparameter full waveform inversion of multicomponent ocean-bottom-cable.pdf}
}

@article{brossierSeismicImagingComplex2009,
  title = {Seismic Imaging of Complex Onshore Structures by {{2D}} Elastic Frequency-Domain Full-Waveform Inversion},
  volume = {74},
  issn = {0016-8033},
  doi = {10.1190/1.3215771},
  abstract = {Quantitative imaging of the elastic properties of the subsurface at depth is essential for civil engineering applications and oil- and gas-reservoir characterization. A realistic synthetic example provides for an assessment of the potential and limits of 2D elastic full-waveform inversion (FWI) of wide-aperture seismic data for recovering high-resolution P- and S-wave velocity models of complex onshore structures. FWI of land data is challenging because of the increased nonlinearity introduced by free-surface effects such as the propagation of surface waves in the heterogeneous near-surface. Moreover, the short wavelengths of the shear wavefield require an accurate S-wave velocity starting model if low frequencies are unavailable in the data. We evaluated different multiscale strategies with the aim of mitigating the nonlinearities. Massively parallel full-waveform inversion was implemented in the frequency domain. The numerical optimization relies on a limited-memory quasi-Newton algorithm thatoutperforms the more classic preconditioned conjugate-gradient algorithm. The forward problem is based upon a discontinuous Galerkin (DG) method on triangular mesh, which allows accurate modeling of free-surface effects. Sequential inversions of increasing frequencies define the most natural level of hierarchy in multiscale imaging. In the case of land data involving surface waves, the regularization introduced by hierarchical frequency inversions is not enough for adequate convergence of the inversion. A second level of hierarchy implemented with complex-valued frequencies is necessary and provides convergence of the inversion toward acceptable P- and S-wave velocity models. Among the possible strategies for sampling frequencies in the inversion, successive inversions of slightly overlapping frequency groups is the most reliable when compared to the more standard sequential inversion of single frequencies. This suggests that simultaneous inversion of multiple frequencies is critical when considering complex wave phenomena.},
  number = {6},
  journal = {GEOPHYSICS},
  author = {Brossier, R. and Operto, S. and Virieux, J.},
  month = nov,
  year = {2009},
  pages = {WCC105-WCC118},
  file = {/home/kazeiv/Zotero/storage/FMQX73NH/Brossier et al_2009_Seismic imaging of complex onshore structures by 2D elastic frequency-domain.pdf}
}

@inproceedings{vegard2017,
  title = {Parameter Resolution and Cross-Talk for {{Elastic Full Wavefrom Inversion}}},
  volume = {19},
  abstract = {Elastic Full Waveform Inversion (EFWI) is a computationally intensive method for iteratively estimating elastic subsurface model parameters. A cornerstone of EFWI is the numerical solution of the elastic wave equation, which is used as a tool to quantify the discrepancy between the synthetic (modelled) and true (real) measured seismic data at the receiver locations. The difference between the modelled and real recorded data is subsequently used to update the synthetic model to yield a better match between the modelled and true receiver data. A common approach to the EFWI problem is to use a non-linear conjugate gradient search method for the updates. The resolution and
cross-coupling for the estimated parameters can then be found by computing the Hessian matrix. For application to exploration seismic data, resolution of the estimated model parameters depend on the chosen parametrisation, acquisition geometry and temporal frequency range. Although some experience has been gained, it is still not clear which elastic parameters can be reliably estimated. Previous analyses, with some exception, have been based on simplistic arguments using radiation pattern analysis. We use a known adjoint-state technique to compute the Hessian for realistic exploration cases and analyse parameter resolution and cross-coupling for different selections of models, acquisition geometries and data types, including streamer and Ocean Bottom Seismic recordings. The information on resolution obtained from the exact Hessian is essential for evaluating the quality of estimated parameters due to the strong influence of source-receiver geometry and frequency content. For typical exploration type models and acquisition parameters unbiased estimates of pressure- and shear wave velocities can be obtained, but density appears to be coupled strongly to other
parameters.},
  booktitle = {{{EGU General Assembly Conference Abstracts}}},
  author = {Stenhjem Hagen, Vegard and Arntsen, B\o{}rge},
  month = apr,
  year = {2017},
  pages = {7013},
  file = {/home/kazeiv/Zotero/storage/UVGJTME5/Stenhjem Hagen_Arntsen_2017_Parameter resolution and cross-talk for Elastic Full Wavefrom Inversion.pdf}
}

repository: vkazei/deeplogs

repo_name: vkazei/deeplogs


text:
DESCRIPTION = "Music Player Daemon library"
LICENSE = "GPLv2"
LIC_FILES_CHKSUM = "file://COPYING;md5=751419260aa954499f7abaabaa882bbe"
HOMEPAGE ="http://sourceforge.net/projects/musicpd"
DEPENDS = "glib-2.0"

SRC_URI = "${SOURCEFORGE_MIRROR}/musicpd/${PN}/${PV}/${PN}-${PV}.tar.gz"
SRC_URI[md5sum] = "5ae3d87467d52aef3345407adb0a2488"
SRC_URI[sha256sum] = "fe20326b0d10641f71c4673fae637bf9222a96e1712f71f170fca2fc34bf7a83"

inherit autotools

license: MIT

repository: ExorEmbedded/exor-workspace

license_type: permissive

repo_name: ExorEmbedded/exor-workspace

gha_language: Python

extension: bb


text:
package mssql

func (mdb *MsSQL) getValByStmt(query string, param ...interface{}) (interface{}, error) {
	stmt, err := mdb.dbConn.Prepare(query)
	printErrors(err)
	if err != nil {
		return "", nil
	}
	defer stmt.Close()
	row := stmt.QueryRow(param...)
	var value interface{}
	err2 := row.Scan(&value)
	printErrors(err2)
	return value, err2
}

//GetVal get single value
func (mdb *MsSQL) GetVal(query string, param ...interface{}) (interface{}, error) {
	lastQuery = getQuery(query, param...)
	var value interface{}
	var err error
	value, found := checkCache()
	if found {
		return value, nil
	}
	value, err = mdb.getValByStmt(query, param...)
	b, ok := value.([]byte)
	if ok {
		value = string(b)
	}
	setCache(value)
	return value, err
}

repository: JimYJ/easysql

repo_name: JimYJ/easysql

branch_name: refs/heads/master

extension: go


text:
@article{MAGNAIN2014524,
title = "Blockface histology with optical coherence tomography: A comparison with Nissl staining",
journal = "NeuroImage",
volume = "84",
pages = "524 - 533",
year = "2014",
issn = "1053-8119",
doi = "https://doi.org/10.1016/j.neuroimage.2013.08.072",
url = "http://www.sciencedirect.com/science/article/pii/S1053811913009403",
author = "Caroline Magnain and Jean C. Augustinack and Martin Reuter and Christian Wachinger and Matthew P. Frosch and Timothy Ragan and Taner Akkin and Van J. Wedeen and David A. Boas and Bruce Fischl",
}

gha_license_id: MIT

gha_language: TeX

extension: bib