Constrained inversion
WebIn this paper, we consider the optimization of the quantum circuit for discrete logarithm of binary elliptic curves under a constrained connectivity, focusing on the resource expenditure and the optimal design for quantum operations such as the addition, binary shift, multiplication, squaring, inversion, and division included in the point addition on binary … WebMay 4, 2024 · It forms a new iterative facies-constrained seismic inversion technique. Compared with conventional facies-constrained seismic inversion, the proposed method not only can reduces the non-uniqueness of seismic inversion results but also can …
Constrained inversion
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WebAbstract. Deep learning (DL) algorithms have shown incredible potential in many applications. The success of these data-hungry methods is largely associated with the availability of large-scale datasets, as millions of observations are often required to achieve acceptable performance levels. Recently, there has been an increased interest in … WebMay 1, 2024 · During single-point inversion, the late-time data are greatly affected by noise, and introducing noise-containing data also causes a transverse mutation of the inversion results. The laterally constrained inversion (LCI) method was proposed by …
Webgeologically constrained inversion is to modify the cell properties in accordance with a chosen algorithm (Figure 4). For example; only physical rock properties may be changed during the inversion, or geological units (geometries) may be modified during the … WebFeb 12, 2024 · These differences are similar to what is found when comparing 2D and 1D forward responses over conductive 2D anomalies without considering IP. We evaluate an effective robust inversion scheme to recover the 2D IP parameters using the 1D laterally constrained inversion (LCI) scheme.
WebJan 29, 2024 · Magnetotelluric (MT) inversion algorithms are an essential tool in exploration geophysics because they provide us with resistivity models of the subsurface. Inverse problems are ill-posed and non-unique. Resistivity models produced by geologically unconstrained MT inversions are typically smooth, which means that the geological … WebNov 11, 2024 · For constrained inversion, because of the cross-gradient constraints of resistivity and velocity models, the structure of the density model was closer to the real model, but this result was unstable, and the smoothness of the model was not maintained. This was because the gradient of the model was small or even close to zero in the deep …
WebApr 14, 2024 · UAV (unmanned aerial vehicle) remote sensing provides the feasibility of high-throughput phenotype nondestructive acquisition at the field scale. However, accurate remote sensing of crop physicochemical parameters from UAV optical measurements still needs to be further studied. For this purpose, we put forward a crop phenotype …
WebJan 27, 2024 · The inversion resolves the pitfall of basic EEI inversion in inverting below-tuning seismic data. The resolution, dimensionality and absolute value of basic EEI inversion are improved by employing stochastic perturbation constrained by integrated energy spectra attribute in a Bayesian Markov Chain Monte Carlo framework. floating apps apkpurefloating aortic thrombusWebApr 8, 2024 · Physics-Constrained Deep Learning of Geomechanical Logs. 地震数据点云上采样. Deep Learning for Irregularly and Regularly Missing 3-D Data Reconstruction. 地震检测. Intelligent Real-Time Earthquake Detection by Recurrent Neural Networks. 地震数据反演. Well-Logging Constrained Seismic Inversion Based on Closed-Loop ... floating anxietyWebAbstract. We present a potential-field-constrained inversion procedure based on a priori information derived exclusively from the analysis of the gravity and magnetic data (self-constrained inversion). The procedure is designed to be applied to underdetermined problems and involves scenarios where the source distribution can be assumed to be of … floating anxiety definitionWebdashed box, as the magnitude spectrum constrained transform (M-constrained transform). In each iteration the G&L algorithm concurrently applies the M-constrained transform to all the frames and overlap- adds them to get a new estimate of x(n). 2.2. RTISI algorithm In G&L, the phase estimate for a given frame is dependent floating anxiety disorderWebMay 25, 2024 · In our constrained inversion of the synthetic examples, the prior model M3 is constructed by replacing the four deep anomalies in model M2 with homogeneous bodies of 100 Ωm resistivity. Figure 7 shows the constrained inversion result using distorted … floating ant raftWebMay 11, 2024 · Inversion is a numerical technique to estimate physical properties in the subsurface from observed data. The computational burden for inversion usually increases dramatically with the size of a study region. In addition, inversion results suffer from strong ambiguity because of limited distribution of observation points and inevitable errors. floating apple candles