Rank reduction strategies can be employed to attenuate noise and for prestack seismic data regularization. We present a fast version of Cadzow reduced-rank reconstruction method. is implemented by embedding 4D spatial into level-four block Toeplitz matrix. this matrix via the Lanczos bidiagonalization algorithm used recover missing observations random noise. The computational cost dominated multiplying vector. This efficiently Fourier transform. proposed significantly decreases...

ABSTRACT A reconstruction method known as Projection Onto Convex Sets (POCS) is an effective, uncomplicated and robust for the recovery of irregularly missing seismic traces. However, slow convergence POCS could jeopardize its computational appeal. For this reason, we investigate performance in terms different threshold schedules present a new data driven that leads to efficient implementation method. In particular, show high quality solutions can be obtained few iterations. addition,...

Tensors, also called multilinear arrays, have been receiving attention from the seismic processing community. Tensors permit us to generalize methodologies multidimensional structures that depend on more than 2D. Recent studies data reconstruction via tensor completion led new and interesting results. For instance, fully sampled noise-free can be represented by a low-rank tensor. Missing traces random noise increase rank of Hence, prestack denoising tackled with tools studied in field...

The midstream of the Hei River Basin (HRB). study investigated changes in hydrological elements at different time scales basin from 1982 to 2020. We used Budyko coupled balance equation quantitatively assess contributions climate change and human activity-induced land surface runoff during periods. In addition, driving factors flow consumption within were analyzed using wavelet coherence generalized additive model (GAM). Prior 2001, there was a significant decrease annual-scale midstream....

Seismic data acquired by geophones are processed to estimate images of the earth's interior that used explore, develop, and monitor resources study shallow structure crust for geological, environmental, geotechnical purposes. These multidimensional sets often irregularly sampled incomplete in so-called midpoint offset acquisition coordinates. Multidimensional seismic reconstruction can be viewed as a low-rank matrix or tensor completion problem. In this paper, we introduce fast efficient...

   During the acquisition of seismic data offshore, due to complex seabed terrain, ocean currents, and costs instruments, multicomponent recorded by OBS or OBN are usually sparsely irregularly sampled. Sparse sampling irregular missing traces generate severe spatial aliasing, which disturbs subsequent migration processing. Furthermore, collected both in nature. Regarding reconstruction data, current methods mainly scalar-based, treating as several independent components...

We have evaluated a fast and memory efficient implementation of the multidimensional singular spectrum analysis (MSSA) method for seismic data reconstruction. The new algorithm makes use random projections structure Hankel matrices to avoid construction large trajectory matrices. Through tests with synthetic real examples, we find that presented significantly decreases computational costs MSSA recovery without compromising its accuracy.

The three categories of the seafloor highs provided for in Article 76 1982 United Nations Convention on Law Sea should be interpreted from legal perspective and light principle natural prolongation. “Oceanic ridges deep ocean floor,” which are not part prolongation land territory coastal state, submarine features that have no geomorphological continuity with landmass state. “Submarine elevations,” only state but also component continental margin, those as well geological ridges,” There some...

Rank reduction strategies can be employed to attenuate noise and as a basic template for pre‐stack regularization of seismic data. We propose utilize the rank method Multichannel Singular Spectrum Analysis (MSSA) implement fast 5D data reconstruction by embedding 4D spatial into block Toeplitz matrix reduce this via Lanczos bidiagonalization algorithm, rather than using Value Decomposition (SVD). The computational cost is dominated multiplying vector. latter efficiently implemented...

Multicomponent seismic exploration provides more wavefield information for imaging complex subsurface structures and predicting reservoirs. Ground roll is strongly coherent noise in land multicomponent data exhibits similar features, which are strong energy, low frequency, velocity dispersion, each component. attenuation an important step processing. In this study, we utilized multivariate empirical mode decomposition to attenuating ground roll. By adding extra components containing...

Multicomponent seismic exploration as a powerful geophysical technology has attracted more and attention in seeking identifying subtle oil gas reservoirs. However, like traditional single-component acquisition, multicomponent data acquisition also encounters sparse irregular sampling problems. The conventional reconstruction methods treat independent components recover the missing traces component-by-component manner. These componentwise approaches ignore internal mutual relationships among...

Summary Research in the area of data analytics and recommendation systems have lead to important efforts toward solving problem matrix completion. The latter entails estimating missing elements a by assuming low-rank representation. aforementioned can be extended recovery multilinear array or tensor. Prestack seismic midpoint-offset domain represented 5th order Therefore, tensor completion methods applied unrecorded traces. Furthermore, methodologies also for multidimensional...

Summary Multidimensional seismic data reconstruction can be viewed as a low rank matrix or tensor completion problem. Different rank-reduction approaches employed to perform interpolation and denoising. For these methods, the computational cost quality are two important aspects that must carefully considered. In this paper, we present new fast economic method named Parallel Square Matrix Factorization (PSMF). We apply algorithm ubiquitous 5D regularization entails reconstructing series...

In recent years, a variety of algorithms for multidimensional seismic survey reconstruction have been proposed. Projection onto Convex Sets (POCS) trace appears to be an affective, uncomplicated and robust algorithm the recovery unrecorded traces. Its slow convergence, however, could jeopardize its computational appeal. For this reason, we investigate performance POCS in terms different threshold schedules. We show that data driven schedule leads efficient implementation where high-quality...

The Timor Sea Conciliation is the first experience with compulsory conciliation under Annex V of 1982 United Nations Convention on Law Sea. Commission addressed objections to its competence as a preliminary matter and rendered separate decision. This article examines approach in dealing issues understandings regards relevant provisions Convention.