Готові списки джерел за темами / Seismic reflectivity

Добірка наукової літератури з теми "Seismic reflectivity"

Автор: Grafiati
Опубліковано: 10 грудня 2022
Оновлено: 29 січня 2023

Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями

Оберіть тип джерела:

Зміст

Ознайомтеся зі списками актуальних статей, книг, дисертацій, тез та інших наукових джерел на тему "Seismic reflectivity".

Біля кожної праці в переліку літератури доступна кнопка «Додати до бібліографії». Скористайтеся нею – і ми автоматично оформимо бібліографічне посилання на обрану працю в потрібному вам стилі цитування: APA, MLA, «Гарвард», «Чикаго», «Ванкувер» тощо.

Також ви можете завантажити повний текст наукової публікації у форматі «.pdf» та прочитати онлайн анотацію до роботи, якщо відповідні параметри наявні в метаданих.

Статті в журналах з теми "Seismic reflectivity"

1

Dey, Ayon K., and Larry R. Lines. "Reflectivity randomness revisited." GEOPHYSICS 64, no. 5 (September 1999): 1630–36. http://dx.doi.org/10.1190/1.1444668.

Повний текст джерела
Анотація:
In seismic exploration, statistical wavelet estimation and deconvolution are standard tools. Both of these processes assume randomness in the seismic reflectivity sequence. The validity of this assumption is examined by using well‐log synthetic seismograms and by using a procedure for evaluating the resulting deconvolutions. With real data, we compare our wavelet estimations with the in‐situ recording of the wavelet from a vertical seismic profile (VSP). As a result of our examination of the randomness assumption, we present a fairly simple test that can be used to evaluate the validity of a randomness assumption. From our test of seismic data in Alberta, we conclude that the assumption of reflectivity randomness is less of a problem in deconvolution than other assumptions such as phase and stationarity.
Стилі APA, Harvard, Vancouver, ISO та ін.
2

Li, Yanqin, and Guoshan Zhang. "A Seismic Blind Deconvolution Algorithm Based on Bayesian Compressive Sensing." Mathematical Problems in Engineering 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/427153.

Повний текст джерела
Анотація:
Compressive sensing in seismic signal processing is a construction of the unknown reflectivity sequence from the incoherent measurements of the seismic records. Blind seismic deconvolution is the recovery of reflectivity sequence from the seismic records, when the seismic wavelet is unknown. In this paper, a seismic blind deconvolution algorithm based on Bayesian compressive sensing is proposed. The proposed algorithm combines compressive sensing and blind seismic deconvolution to get the reflectivity sequence and the unknown seismic wavelet through the compressive sensing measurements of the seismic records. Hierarchical Bayesian model and optimization method are used to estimate the unknown reflectivity sequence, the seismic wavelet, and the unknown parameters (hyperparameters). The estimated result by the proposed algorithm shows the better agreement with the real value on both simulation and field-data experiments.
Стилі APA, Harvard, Vancouver, ISO та ін.
3

Dai, Ronghuo, Cheng Yin, and Da Peng. "An Application of Elastic-Net Regularized Linear Inverse Problem in Seismic Data Inversion." Applied Sciences 13, no. 3 (January 24, 2023): 1525. http://dx.doi.org/10.3390/app13031525.

Повний текст джерела
Анотація:
In exploration geophysics, seismic impedance is a physical characteristic parameter of underground formations. It can mark rock characteristics and help stratigraphic analysis. Hence, seismic data inversion for impedance is a key technology in oil and gas reservoir prediction. To invert impedance from seismic data, one can perform reflectivity series inversion first. Then, under a simple exponential integration transformation, the inverted reflectivity series can give the final inverted impedance. The quality of the inverted reflectivity series directly affects the quality of impedance. Sparse-spike inversion is the most common method to obtain reflectivity series with high resolution. It adopts a sparse regularization to impose sparsity on the inverted reflectivity series. However, the high resolution of sparse-spike-like reflectivity series is obtained at the cost of sacrificing small reflectivity. This is the inherent problem of sparse regularization. In fact, the reflectivity series from the actual impedance well log is not strictly sparse. It contains not only the sparse major large reflectivity, but also small reflectivity between major reflectivity. That is to say, the large reflectivity is sparse, but the small reflectivity is dense. To combat this issue, we adopt elastic-net regularization to replace sparse regularization in seismic impedance inversion. The elastic net is a hybrid regularization that combines sparse regularization and dense regularization. The proposed inversion method was performed on a synthetic seismic trace, which is created from an actual well log. Then, a real seismic data profile was used to test the practice application. The inversion results showed that it provides an effective new alternative method to invert impedance.
Стилі APA, Harvard, Vancouver, ISO та ін.
4

Ursin, Bjørn. "Methods for estimating the seismic reflection response." GEOPHYSICS 62, no. 6 (November 1997): 1990–95. http://dx.doi.org/10.1190/1.1444299.

Повний текст джерела
Анотація:
The convolutional model of the seismic trace consists of a seismic pulse convolved with a reflectivity series plus measurement noise. The seismic deconvolution problem is to estimate the reflectivity series, given the data and an estimate of the seismic pulse. The classical solution to this problem is a weighted least‐squares estimate of the reflectivity series, which is optimal when the noise covariance matrix is known and there are no errors in the pulse. The seismic convolutional model has been reformulated, taking into account errors in the pulse and measurement noise, which is taken to be white noise filtered by a finite‐impulse‐response filter. All variables are assumed to be Gaussian, with known a priori mean values and covariance matrices. The unknown parameters may be the reflectivity series, the noise‐filter coefficients, and the white noise variance or, when the noise covariance matrix is known, just the reflectivity series. This results in maximum a posteriori (MAP) and maximum likelihood (ML) estimates of the reflectivity series that take into account uncertainty in the seismic pulse and colored noise. These estimates generally can be computed by solving a nonlinear minimization problem. The constrained total least‐squares (CTLS) estimate of the reflectivity series is found by minimizing a function that contains one less term than does the function that gives the ML estimate. When there is no uncertainty in the pulse and the noise covariance matrix is known all estimates are linear functions of the data corresponding to weighted least squares. The stabilized least‐squares (SLS) estimate of the reflectivity series is a special case of the MAP estimate with a simple statistical model. The problem of estimating the seismic pulse, given seismic data and an estimate of the reflectivity series, is identical to the problem of estimating the reflectivity series, except that the initial conditions in the convolutional model are slightly different.
Стилі APA, Harvard, Vancouver, ISO та ін.
5

Chen, Fubin, Zhaoyun Zong, and Man Jiang. "Seismic reflectivity and transmissivity parametrization with the effect of normal in situ stress." Geophysical Journal International 226, no. 3 (May 4, 2021): 1599–614. http://dx.doi.org/10.1093/gji/ggab179.

Повний текст джерела
Анотація:
SUMMARY In situ stress has a significant effect on the properties of underground formations, including seismic wave velocity, porosity and permeability, and further affects seismic reflectivity and transmissivity. Research works on the effect of in situ stress are helpful to construct more precise seismic reflection and transmission coefficient equations. However, previous studies on seismic reflectivity equations did not take the effect of normal in situ stress into consideration. The mechanism of stress on seismic reflectivity and transmissivity is still ambiguous. In this study, we propose new explicit equations to help analyse the changes of seismic reflectivity and transmissivity under the effect of normal in situ stress. First, we deduce the Christoffel equation on the basis of solid acoustoelastic theory. Then, we utilize appropriate boundary conditions to formulate analytical equations of the reflectivity at the interface between two stressed formations, which can provide some new insights into the role of in situ stress. The shear wave birefringence will vanish because we assume that the wave propagates in the X–Z plane. Different rock models with different lithology and saturation are used to analyse the variation of seismic reflectivity and transmissivity with normal stress and incident angle at the interface. The main effect of normal stress on reflection and transmission coefficients is to change amplitude and critical incident angle. When the upper and lower layers are sandstones, the critical incident angle decreases with the increase of normal in situ stress, which is consistent with previous studies. In addition, the reflectivity equation can be degenerated to the Zoeppritz equation when the normal in situ stress vanishes, which further validates that the equation proposed is correct. Seismic reflectivity equations that couple the effect of stress can lay a foundation for direct prediction of in situ stress.
Стилі APA, Harvard, Vancouver, ISO та ін.
6

Liang, Chen, John Castagna, and Marcelo Benabentos. "Reflectivity decomposition: Theory and application." Interpretation 9, no. 2 (April 21, 2021): B7—B23. http://dx.doi.org/10.1190/int-2020-0203.1.

Повний текст джерела
Анотація:
Sparse reflectivity inversion of processed reflection seismic data is intended to produce reflection coefficients that represent boundaries between geologic layers. However, the objective function for sparse inversion is usually dominated by large reflection coefficients, which may result in unstable inversion for weak events, especially those interfering with strong reflections. We have determined that any seismogram can be decomposed according to the characteristics of the inverted reflection coefficients that can be sorted and subset by magnitude, sign, and sequence, and new seismic traces can be created from only reflection coefficients that pass the sorting criteria. We call this process reflectivity decomposition. For example, original inverted reflection coefficients can be decomposed by magnitude, large ones removed, the remaining reflection coefficients reconvolved with the wavelet, and this residual reinverted, thereby stabilizing inversions for the remaining weak events. As compared with inverting an original seismic trace, subtle impedance variations occurring in the vicinity of nearby strong reflections can be better revealed and characterized when only the events caused by small reflection coefficients are passed and reinverted. When we apply reflectivity decomposition to a 3D seismic data set in the Midland Basin, seismic inversion for weak events is stabilized such that previously obscured porous intervals in the original inversion can be detected and mapped, with a good correlation to the actual well logs.
Стилі APA, Harvard, Vancouver, ISO та ін.
7

Wang, Lingling, Qian Zhao, Jinghuai Gao, Zongben Xu, Michael Fehler, and Xiudi Jiang. "Seismic sparse-spike deconvolution via Toeplitz-sparse matrix factorization." GEOPHYSICS 81, no. 3 (May 2016): V169—V182. http://dx.doi.org/10.1190/geo2015-0151.1.

Повний текст джерела
Анотація:
We have developed a new sparse-spike deconvolution (SSD) method based on Toeplitz-sparse matrix factorization (TSMF), a bilinear decomposition of a matrix into the product of a Toeplitz matrix and a sparse matrix, to address the problems of lateral continuity, effects of noise, and wavelet estimation error in SSD. Assuming the convolution model, a constant source wavelet, and the sparse reflectivity, a seismic profile can be considered as a matrix that is the product of a Toeplitz wavelet matrix and a sparse reflectivity matrix. Thus, we have developed an algorithm of TSMF to simultaneously deconvolve the seismic matrix into a wavelet matrix and a reflectivity matrix by alternatively solving two inversion subproblems related to the Toeplitz wavelet matrix and sparse reflectivity matrix, respectively. Because the seismic wavelet is usually compact and smooth, the fused Lasso was used to constrain the elements in the Toeplitz wavelet matrix. Moreover, due to the limitations of computer memory, large seismic data sets were divided into blocks, and the average of the source wavelets deconvolved from these blocks via TSMF-based SSD was used as the final estimation of the source wavelet for all blocks to deconvolve the reflectivity; thus, the lateral continuity of the seismic data can be maintained. The advantages of the proposed deconvolution method include using multiple traces to reduce the effect of random noise, tolerance to errors in the initial wavelet estimation, and the ability to preserve the complex structure of the seismic data without using any lateral constraints. Our tests on the synthetic seismic data from the Marmousi2 model and a section of field seismic data demonstrate that the proposed method can effectively derive the wavelet and reflectivity simultaneously from band-limited data with appropriate lateral coherence, even when the seismic data are contaminated by noise and the initial wavelet estimation is inaccurate.
Стилі APA, Harvard, Vancouver, ISO та ін.
8

Wang, Ruo, and Yanghua Wang. "Multichannel algorithms for seismic reflectivity inversion." Journal of Geophysics and Engineering 14, no. 1 (December 2, 2016): 41–50. http://dx.doi.org/10.1088/1742-2132/14/1/41.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
9

Barnes, Arthur E. "Moho reflectivity and seismic signal penetration." Tectonophysics 232, no. 1-4 (April 1994): 299–307. http://dx.doi.org/10.1016/0040-1951(94)90091-4.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
10

Ker, S., Y. Le Gonidec, L. Marié, Y. Thomas, and D. Gibert. "Multiscale seismic reflectivity of shallow thermoclines." Journal of Geophysical Research: Oceans 120, no. 3 (March 2015): 1872–86. http://dx.doi.org/10.1002/2014jc010478.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
Більше джерел

Дисертації з теми "Seismic reflectivity"

1

Al-Moqbel, Abdulrahman Mohammad Saleh 1974. "Reservoir characterization using seismic reflectivity and attributes." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/51665.

Повний текст джерела
Анотація:
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Earth, Atmospheric, and Planetary Sciences, 2002.
Includes bibliographical references (leaves 81-82).
The primary objective of this thesis is to obtain reservoir properties, such as porosity from surface seismic data complemented by available well logs. To accomplish this a two-step procedure is followed. First, reflectivity and acoustic impedance profiles are obtained from the inversion of post-stack seismic data. Second, a multi-attribute analysis, calibrated using well logs, is used to obtain porosity. This procedure is applied to a 40x40 sq. km field data set from the eastern region of Saudi Arabia. The 3-D seismic data are of good quality. Twenty-one wells have a good suite of logs. The analysis is focused on the reflections from the reservoir. The outcome of the thesis is an improved subsurface image of the seismic data, a porosity prediction for the reservoir, and a reservoir quality map obtained by similarity analysis using one of the wells as reference.
by Abdulrahman Mohammad Saleh Al-Moqbel.
S.M.
Стилі APA, Harvard, Vancouver, ISO та ін.
2

Wang, Ruo. "Seismic reflectivity and impedance inversion in multichannel fashion." Thesis, Imperial College London, 2014. http://hdl.handle.net/10044/1/45497.

Повний текст джерела
Анотація:
Seismic reflectivity inversion is an important step in both signal processing and quantitative interpretation since reflectivity contains the information of impedance and other elastic parameters. Conventional methods assume stratified media and perform deconvolution on seismic data trace by trace. However, when using these single-channel methods, the lateral coherency of the result may be affected when the input seismic traces have low signal-to-noise ratios (SNRs) or complex structures. In this thesis, the development of multichannel inversion algorithms will be investigated to improve the continuity of the reflectivity profiles and suppress the noise. An example of a widely-used seismic reflectivity inversion method that is applied to single-channel seismic trace is the basis pursuit method. In this thesis, an FX prediction filter is incorporated with the conventional BP method, to investigate the potential benefit of multichannel implementation. Since the dictionary used in BP is huge in size, the matrix operations are very time consuming, yielding a long overall computational time. To improve the efficiency, a GPU-accelerated basis pursuit method is further implemented under CUDA architecture. Numerical results with the same accuracy are obtained and a speedup factor up to 145 for the whole process has been achieved. To implement a multichannel reflectivity inversion, the curvelet transform is employed. A comparative study on the performance of the curvelet deconvolution with two other widely used methods, the least-squares method and Lp-norm deconvolution, is further conducted. Since the deconvolution based on the curvelet transform offers a good trade-off between the lateral continuity and sparseness, the curvelet deconvolution result is used as the initial model to enhance the Lp-norm deconvolution. Numerical results show that the lateral continuity of the spiky reflectivity profile can be further improved. Moreover, I develop a proper multichannel deconvolution method based on the Cauchy constraint. In this algorithm, a multichannel prediction operator is integrated into the iteration process. In this way, the information of the adjacent traces is exploited during the inversion procedure. This method can provide results with improved lateral coherency, better structure characterisation ability and lower residual energy ratio. I also develop two modified processes based on the original Cauchy constrained multichannel method. These two modifications can give better quality for the reflectivity inversion results, when compared with the original algorithm. Finally, using a similar concept as the multichannel deconvolution method with the Cauchy constraint, I apply the multichannel inversion algorithm to seismic impedance inversion, with the input reflectivity series obtained from the previous inversion steps. Numerical results show impedance profiles with better structure identification and lateral continuity.
Стилі APA, Harvard, Vancouver, ISO та ін.
3

Okure, Maxwell Sunday. "Upper mantle reflectivity beneath an intracratonic basin : insights into the behavior of the mantle beneath Illinois basin /." Diss., CLICK HERE for online access, 2005. http://contentdm.lib.byu.edu/ETD/image/etd865.pdf.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
4

Ay, Erkan. "Origin of crustal reflectivity and influence of fluids and fractures on velocity at the Kola superdeep borehole." Laramie, Wyo. : University of Wyoming, 2007. http://proquest.umi.com/pqdweb?did=1453231711&sid=4&Fmt=2&clientId=18949&RQT=309&VName=PQD.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
5

Tango, Gerard Joseph. "Applications of a Direct Fast Field/Reflectivity Method to Wave Propagation Modeling in Underwater Acoustic and Solid Earth Seismic Environments." ScholarWorks@UNO, 1985. https://scholarworks.uno.edu/td/2684.

Повний текст джерела
Анотація:
A new method is discussed for exact rapid computation of the depth-dependent Green's function occuring in full integral solutions to the acoustic and elastic Helmholtz wave equation, allowing calculations of underwater acoustic propagation loss and full wavefield synthetic seismograms, in range-independent plane stratified media.
Стилі APA, Harvard, Vancouver, ISO та ін.
6

Ehsan, Jamali Hondori. "Full waveform inversion of supershot-gathered data for optimization of turnaround time in seismic reflection survey." Kyoto University, 2016. http://hdl.handle.net/2433/217744.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
7

Herrmann, Felix J., and Peyman P. Moghaddam. "Curvelet-domain preconditioned "wave-equation" depth-migration with sparseness and illumination constraints." Society of Exploration Geophysicists, 2004. http://hdl.handle.net/2429/430.

Повний текст джерела
Анотація:
A non-linear edge-preserving solution to the least-squares migration problem with sparseness & illumination constraints is proposed. The applied formalism explores Curvelets as basis functions. By virtue of their sparseness and locality, Curvelets not only reduce the dimensionality of the imaging problem but they also naturally lead to a dense preconditioning that almost diagonalizes the normal/Hessian operator. This almost diagonalization allows us to recast the imaging problem into a ’simple’ denoising problem. As such, we are in the position to use non-linear estimators based on thresholding. These estimators exploit the sparseness and locality of Curvelets and allow us to compute a first estimate for the reflectivity, which approximates the least-squares solution of the seismic inverse scattering problem. Given this estimate, we impose sparseness and additional amplitude corrections by solving a constrained optimization problem. This optimization problem is initialized and constrained by the thresholded image and is designed to remove remaining imaging artifacts and imperfections in the estimation and reconstruction.
Стилі APA, Harvard, Vancouver, ISO та ін.
8

Lumley, David Edward. "A generalized Kirchhoff-WKBJ depth migration theory for multi-offset seismic reflection data : reflectivity model construction by wavefield imaging and amplitude estimation." Thesis, University of British Columbia, 1989. http://hdl.handle.net/2429/27588.

Повний текст джерела
Анотація:
This thesis embodies a mathematical, physical, and quantitative investigation into the imaging and amplitude estimation of subsurface earth reflectivity structure within the framework of pre stack wave-equation depth migration of multi-offset seismic reflection data. Analysis is performed on five prestack depth migration reflectivity "imaging conditions" with respect to image quality and quantitative accuracy of recovered reflectivity amplitudes. A new computationally efficient and stable prestack depth migration imaging method is proposed which is based upon a geometric approximation to the theoretically correct, but unstable, "dynamic" imaging condition. The "geometric" imaging condition has the desirable property of true-amplitude reflectivity recovery in regions of both 1-D and 2-D velocity variation, while fully retaining and optimizing the favorable imaging characteristics of current, non-true amplitude formulations. The currently predominant "crosscorrelation" and "excitation-time" migration imaging methods are shown to possess significantly less accurate imaging and amplitude-recovery characteristics relative to the proposed geometric migration. The respective signal-to-noise recovery of their imaged amplitudes deteriorates approximately linearly (excitation-time) and quadratically (crosscorrelation) with depth. As a necessary prerequisite to the imaging analysis, a true-amplitude prestack depth migration equation is derived which appears to be new to the literature. This result is obtained in the form of a 2.5-D farfield Kirchhoff integral solution to the acoustic wave equation, after the application of a dynamic imaging condition to the reconstructed upgoing and downgoing wavefields. This solution is in harmony with zeroth order asymptotic ray theory (ART) assumptions, and depends upon WKBJ Green's functions which can be numerically evaluated for arbitrary migration models by raytracing methods. A new and "generalized" Kirchhoff prestack depth migration equation is subsequently obtained by the introduction of a weighting function into the true-amplitude migration integral. The weight is a function of both the reconstructed upgoing and downgoing wavefields, and is determined analytically by a mathematical application of each specific reflectivity imaging condition. This generalized equation is significant in that it provides a common mathematical, physical and computational basis for the comparative analytical and quantitative analysis of reflectivity image quality and amplitude recovery among current prestack migration philosophies and variants of those migration themes. In addition, three ancillary research objectives are achieved. The first achievement is the development of a Kirchhoff prestack depth migration computer algorithm to implement the generalized imaging of surface-recorded seismic reflection data. This algorithm can be readily modified to perform seismic wavefield imaging for other recording geometries such as cross-borehole or vertical seismic profiling, and may be suitable to non-seismic applications such as the imaging of electromagnetic wavefields and satellite-acquired synthetic aperture radar data. The second result is the development of a fast two-point raytracing computer algorithm which provides accurate computation of a subsurface grid of traveltimes and 1.5-D zeroth order ART amplitudes in a 1-D acoustic medium. This algorithm is useful for subsurface wavefield reconstruction and imaging, and for inversion applications such as geotomography. The third objective is the detailed quantitative examination of migration imaging quality and true relative-amplitude normal-incidence reflectivity recovery from numerically migrated depth images. This is achieved successfully in an extensive 2.5-D synthetic data analysis, using a challenging 2-D structural model, synthetic multifold reflection seismogram shot gathers, and the numerical imaging and modelling algorithms developed as part of this thesis research.
Science, Faculty of
Earth, Ocean and Atmospheric Sciences, Department of
Graduate
Стилі APA, Harvard, Vancouver, ISO та ін.
9

Adedeji, Elijah A. "3D Post-stack Seismic Inversion using Global Optimization Techniques: Gulf of Mexico Example." ScholarWorks@UNO, 2016. http://scholarworks.uno.edu/td/2231.

Повний текст джерела
Анотація:
Seismic inversion using a global optimization algorithm is a non-linear, model-driven process. It yields an optimal solution of the cost function – reflectivity/acoustic impedance, when prior information is sparse. The inversion result offers detailed interpretations of thin layers, internal stratigraphy, and lateral continuity and connectivity of sand bodies. This study compared two stable and robust global optimization techniques, Simulated Annealing (SA) and Basis Pursuit Inversion (BPI) as applied to post-stack seismic data from the Gulf of Mexico. Both methods use different routines and constraints to search for the minimum error energy function. Estimation of inversion parameters in SA is rigorous and more reliable because it depends on prior knowledge of subsurface geology. The BPI algorithm is a more robust deterministic process. It was developed as an alternative method to incorporating a priori information. Results for the Gulf of Mexico show that BPI gives a better stratigraphic and structural actualization due to its capacity to delineate layers thinner than the tuning thickness. The SA algorithm generates both absolute and relative impedances, which provide both qualitative and quantitative characterization of thin-bed reservoirs.
Стилі APA, Harvard, Vancouver, ISO та ін.
10

Merrett, H. D. "2D lithospheric imaging of the Delamerian and Lachlan Orogens, southwestern Victoria, Australia from Broadband Magnetotellurics." Thesis, 2016. http://hdl.handle.net/2440/121124.

Повний текст джерела
Анотація:
This item is only available electronically.
A geophysical study utilising the method of magnetotellurics (MT) was carried out across southwestern Victoria, Australia, imaging the electrical resistivity structure of the lithosphere beneath the Delamerian and Lachlan Orogens. Broadband MT (0.001-1000 Hz) data were collected along a 160 km west-southwest to east-northeast transect adjacent to crustal seismic profiling. Phase tensor analyses from MT responses reveal a distinct change in electrical resistivity structure and continuation further southwards of the Glenelg and Grampians-Stavely geological zones defined by the Yarramyljup Fault, marking the western limit of exploration interest for the Stavely Copper Porphyries. The Stawell and Bendigo Zones also show change across the Moyston and Avoca faults, respectively. Results of 2D modelling reveal a more conductive lower crust (10-30 Ωm) and upper mantle beneath the Lachlan Orogen compared to the Delamerian Orogen. This significant resistivity gradient coincides with the Mortlake discontinuity and location of the Moyston fault. Broad-scale fluid alteration zones were observed through joint analysis with seismic profiling, leaving behind a signature of low-reflectivity, correlating to higher conductivities of the altered host rocks. Isotopic analysis of xenoliths from western Victoria reveal the lithospheric mantle has undergone discrete episodes of modal metasomatism. This may relate to near-surface Devonian granite intrusions constrained to the Lachlan Orogen where we attribute the mid to lower crustal conductivity anomaly (below the Stawell Zone) as fossil metasomatised ascent paths of these granitic melts. This conductivity enhancement may have served to overprint an already conductive lithosphere, enriched in hydrogen from subduction related processes during the Cambrian. A predominately reflective upper crust exhibits high resistivity owing to turbidite and metasedimentary rock sequences of the Lachlan Orogen, representative of low porosity and permeability. Conductive sediments of the Otway Basin have also been imaged down to 3 km depth southwest of Hamilton.
Thesis (B.Sc.(Hons)) -- University of Adelaide, School of Physical Sciences, 2016
Стилі APA, Harvard, Vancouver, ISO та ін.

Книги з теми "Seismic reflectivity"

1

Lee, Myung W. Statistical property of the earth reflectivity and fractal seismic deconvolution. [Denver, CO]: U.S. Geological Survey, 1995.

Знайти повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.

Частини книг з теми "Seismic reflectivity"

1

Sen, Mrinal K. "Seismic, Reflectivity Method." In Encyclopedia of Solid Earth Geophysics, 1–12. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-10475-7_50-1.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
2

Sen, Mrinal K. "Seismic, Reflectivity Method." In Encyclopedia of Solid Earth Geophysics, 1269–79. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-90-481-8702-7_50.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
3

Sen, Mrinal K. "Seismic, Reflectivity Method." In Encyclopedia of Solid Earth Geophysics, 1592–602. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-58631-7_50.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
4

Bittner, R., and Th Wever. "Reflectivity variations of Variscan terranes in Germany." In Continental Lithosphere: Deep Seismic Reflections, 87–90. Washington, D. C.: American Geophysical Union, 1991. http://dx.doi.org/10.1029/gd022p0087.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
5

Wu, Jianjun, and Robert F. Mereu. "Seismic reflectivity patterns of the Kapuskasing structural zone." In Continental Lithosphere: Deep Seismic Reflections, 47–52. Washington, D. C.: American Geophysical Union, 1991. http://dx.doi.org/10.1029/gd022p0047.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
6

Siegesmund, S., M. Fritzsche, and G. Braun. "Reflectivity caused by texture-induced anisitropy in mylonites." In Continental Lithosphere: Deep Seismic Reflections, 291–98. Washington, D. C.: American Geophysical Union, 1991. http://dx.doi.org/10.1029/gd022p0291.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
7

Sadowiak, Petra, Rolf Meissner, and Larry Brown. "Seismic reflectivity patterns: Comparative investigations of Europe and North America." In Continental Lithosphere: Deep Seismic Reflections, 363–69. Washington, D. C.: American Geophysical Union, 1991. http://dx.doi.org/10.1029/gd022p0363.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
8

Picetti, Francesco. "How Deep Learning Can Help Solving Geophysical Inverse Problems." In Special Topics in Information Technology, 141–52. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15374-7_12.

Повний текст джерела
Анотація:
AbstractThis brief summarizes some of the main results I obtained during my Ph.D. studies at Politecnico di Milano, under the supervision of Professor Stefano Tubaro. The thesis provides contributions to understanding the advantages, and limitations, of data-driven deep learning approaches to geophysical inverse problems, with a special focus on Convolutional Neural Networks (CNNs). Exploration Geophysics aims at estimating accurate physical properties of the Earth subsurface from seismic data acquired close to the surface. Seismic data show a great variety of statistically relevant and independent patterns. I devise Deep Learning methods to solve several geophysical tasks by learning such patterns. First, I devise generative networks as a post-processing operator for refining reflectivity images. When trained on pure image datasets, these networks suffer from the lack of physical knowledge. Then, I show a different approach named Deep Priors, which are CNNs that precondition the inverse problem. In particular, I develop a scheme to interpolate seismic data. Finally, I leverage the features extraction ability of CNNs for buried landmine detection on Ground Penetrating Radar (GPR) acquisitions. While the presented methods are effective compared to the state of the art, improvements can be achieved by integrating pure data-driven algorithms within general inverse problems theory through a-priori information derived from domain knowledge.
Стилі APA, Harvard, Vancouver, ISO та ін.
9

Howie, John M., Tom Parsons, and George A. Thompson. "High-resolution P- and S-wave deep crustal imaging across the edge of the Colorado Plateau, USA : Increased reflectivity caused by initiating extension." In Continental Lithosphere: Deep Seismic Reflections, 21–29. Washington, D. C.: American Geophysical Union, 1991. http://dx.doi.org/10.1029/gd022p0021.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
10

Nowack, Robert L., and Stephen M. Stacy. "Synthetic Seismograms and Wide-angle Seismic Attributes from the Gaussian Beam and Reflectivity Methods for Models with Interfaces and Velocity Gradients." In Seismic Waves in Laterally Inhomogeneous Media, 1447–64. Basel: Birkhäuser Basel, 2002. http://dx.doi.org/10.1007/978-3-0348-8146-3_4.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.

Тези доповідей конференцій з теми "Seismic reflectivity"

1

Zhang, Rui, and Bo Zhang. "Seismic reflectivity attributes." In SEG Technical Program Expanded Abstracts 2015. Society of Exploration Geophysicists, 2015. http://dx.doi.org/10.1190/segam2015-5746900.1.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
2

Yang, Z., and H. Cao. "Reflectivity Dispersion for Gas Detection." In EAGE Workshop on Seismic Attenuation. Netherlands: EAGE Publications BV, 2013. http://dx.doi.org/10.3997/2214-4609.20131860.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
3

Whitmore, N. D., J. Ramos-Martinez, Y. Yang, and A. A. Valenciano. "Seismic modeling with vector reflectivity." In SEG Technical Program Expanded Abstracts 2020. Society of Exploration Geophysicists, 2020. http://dx.doi.org/10.1190/segam2020-3424516.1.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
4

Wang, Y., and X. Lu. "Sparseness of Seismic Reflectivity Inversion." In 71st EAGE Conference and Exhibition incorporating SPE EUROPEC 2009. European Association of Geoscientists & Engineers, 2009. http://dx.doi.org/10.3997/2214-4609.201400067.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
5

Li, C., and X. Liu. "Seismic Reflectivity Inversion Using an Adaptive FISTA." In Second EAGE Conference on Seismic Inversion. European Association of Geoscientists & Engineers, 2022. http://dx.doi.org/10.3997/2214-4609.202229010.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
6

Portniaguine, Oleg, Yili Wang, and He Chen. "Building electromagnetic model using seismic reflectivity." In SEG Technical Program Expanded Abstracts 2006. Society of Exploration Geophysicists, 2006. http://dx.doi.org/10.1190/1.2370387.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
7

Jakobsen, A. F., and H. J. Hansen. "Direct Probabilistic Inversion for Facies Using Zoeppritz Reflectivity Model." In First EAGE Conference on Seismic Inversion. European Association of Geoscientists & Engineers, 2020. http://dx.doi.org/10.3997/2214-4609.202037034.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
8

Russell, B., J. Downton, and T. Colwell. "Sparse Layer Reflectivity with FISTA for Post-Stack Impedance Inversion." In First EAGE Conference on Seismic Inversion. European Association of Geoscientists & Engineers, 2020. http://dx.doi.org/10.3997/2214-4609.202037018.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
9

Kong, Dehui, and Zhenming Peng. "Seismic reflectivity inversion using spectral compressed sensing." In 2016 2nd IEEE International Conference on Computer and Communications (ICCC). IEEE, 2016. http://dx.doi.org/10.1109/compcomm.2016.7924859.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
10

Wang, R., and Y. Wang. "Seismic Reflectivity Inversion in a Multichannel Manner." In 75th EAGE Conference and Exhibition incorporating SPE EUROPEC 2013. Netherlands: EAGE Publications BV, 2013. http://dx.doi.org/10.3997/2214-4609.20130053.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.

Звіти організацій з теми "Seismic reflectivity"

1

Schetselaar, E. M., G. Bellefleur, and P. Hunt. Integrated analyses of density, P-wave velocity, lithogeochemistry, and mineralogy to investigate effects of hydrothermal alteration and metamorphism on seismic reflectivity: a summary of results from the Lalor volcanogenic massive-sulfide deposit, Snow Lake, Manitoba. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/327999.

Повний текст джерела
Анотація:
We present herein a summary of integrated data analyses aimed at investigating the effects of hydrothermal alteration on seismic reflectivity in the footwall of the Lalor volcanogenic massive-sulfide (VMS) deposit, Manitoba. Multivariate analyses of seismic rock properties, lithofacies, and hydrothermal alteration indices show an increase in P-wave velocity for altered volcanic and volcaniclastic lithofacies with respect to their least-altered equivalents. Scanning electron microscopy-energy dispersive X-ray spectrometry analyses of drill-core samples suggest that this P-wave velocity increase is due to the high abundance of high P-wave velocity aluminous minerals, including cordierite, Fe-Mg amphibole, and garnet, which in volcanic rocks are characteristic of VMS-associated hydrothermal alteration metamorphosed in the amphibolite facies. A seismic synthetic profile computed from a simple amphibolite-facies mineral assemblage model, consisting of mafic-felsic host rock contacts, a sulfide ore lens, and a discordant hydrothermal conduit, show enhanced seismic reflections at conduit-host rock contacts in comparison to the equivalent greenschist facies mineral assemblage model. Collectively our results suggest that VMS footwall hydrothermal alteration zones metamorphosed under middle- to upper-amphibolite facies conditions have enhanced potential for seismic detection.
Стилі APA, Harvard, Vancouver, ISO та ін.
Також вас можуть зацікавити розширені добірки на тему "Seismic reflectivity" для конкретних типів джерел:
Статті в журналах
Ми пропонуємо знижки на всі преміум-плани для авторів, чиї праці увійшли до тематичних добірок літератури. Зв'яжіться з нами, щоб отримати унікальний промокод!

До бібліографії