..., the standard procedure begins by seeking the adjoint operator. However, the adjoint operator is not the inverse of the modeling operator, and thus, it often needs many iterations to approach the inverse effect, with each iteration involving substantial computational cost. Alternatively, we can seek...

...Taqi Alyousuf; Daniele Colombo; Ersan Turkoglu; Muhammad Almajid; Mohammed Shawaf; Mohammed Ali Abstract We evaluate an effective and cost-efficient multiphysics approach for long-term monitoring of carbon storage in carbonate reservoirs. A key focus of our study is to advocate for a cost-effective...

... possible, the local mesh method has been developed to avoid solving large matrix equations in 3D AEM modeling. However, the local mesh only saves the computational cost and memory during forward modeling and Jacobian calculations. When the survey area is very large, the cost for storing and solving...

... one new data point at a time. The computational cost of estimating a streaming PEF is reduced to the cost of a single convolution. In other words, the cost of the PEF design while filtering is equivalent to the cost of applying the filter. Moreover, the nonlinear operation of finding and applying...

... with multiple right-hand side vectors for 3D frequency-domain seismic wave modeling. We have adopted the preconditioned conjugate gradient iterative algorithms as the foundation for our research, introducing two highly cost-effective parallel iterative solvers: the parallel symmetric successive overrelaxation...

..., 2022, p. 11) This figure does not include the associated value or cost of social and environmental effects (RMG Consulting, Stockholm Sweden, pers. commun., 2023). At its core, mining is driven by some 25,000 companies worldwide ( Table 1 ). Of these, about 14,000 are producers, 8,500...

... or instrument errors ( Oropeza and Sacchi, 2011 ). Reconstruction becomes especially challenging when exploring resources in complex geologic structures. Thus, reconstruction techniques, which are low-cost approaches to upsample and interpolate seismic data, are of significant interest and have been extensively...

.... However, the iterative process of simulated annealing entails high computational cost, first because of the large number of iterations needed to explore the variables space, and second because of the large number of simulations needed to adjust the simulation parameters. Although the first issue...

... without increasing computational costs. 2024 Society of Exploration Geophysicists distributed acoustic sensing denoising knowledge distillation signal-to-noise ratio enhancement signal recovery Science and Technology Development Plan of Jilin Province 20210201027GX National...

...Xintong Dong; Shaoping Lu; Jun Lin; Shukui Zhang; Kai Ren; Ming Cheng ABSTRACT Dense shots can improve the fold of subsurface imaging points, which is essential for the resolution of imaging results. However, dense shots significantly increase the cost of data acquisition, which is one of the major...

... restricts the improvement of numerical accuracy. In contrast, the implicit FD (IFD) method approximates the spatial derivatives in the form of rational functions and thus can obtain much higher numerical accuracy with relatively low orders; however, its computational cost is expensive due to the need...

... and the solution of the inverse problem is generally not unique. As a possible alternative to traditional stochastic optimization methods, we develop a method to adopt machine-learning algorithms by estimating relations between data and unknown variables from a training data set with limited computational cost. We...

... is crucial for seismic imaging, particularly the most common anisotropy in geophysics: the transversely isotropic medium. However, this also means a considerable increase in the computational cost of reverse time migration (RTM). Thus, a new pseudoacoustic wave equation for pure qP-wave in tilted...

...Rune Mittet; Anna Avdeeva ABSTRACT The Gauss-Newton method has good convergence properties when used for the solution of seismic and electromagnetic inversion problems. One main issue is the high numerical cost. The numerical cost can be reduced if the optimization domain can be decoupled from...

... the image volume into four complementary volumes are well established in the literature (low-frequency noise separation and turning wave imaging); however, its use has been limited by the computational cost. Despite using two source propagations to decompose the source wavefield, we reduce the computations...

... project, including future commodity prices, labour costs, access to water and energy, etc. Box 1. GEOSTATISTICS FOR MODELLING GEOSPATIAL UNCERTAINTY Geostatistics provides a set of tools to find local estimates ( predictions ) and to characterise uncertainty for spatially distributed continuous...

... ( Steenkamp et al. 2020 ). The price of electricity is a key cost driver for SAF smelting of the Mn ores, accounting for 45%–50% of smelter costs. Energy consumption, which is mostly influenced by solid-state reactions in the pre-reduction zone of the SAF, therefore becomes an important parameter to minimize...

... necessitating the segmentation of the seismic data set into shallow and deep segments via a user-defined phantom horizon. Notably, this approach is comprehensive in nature and has the capability to predict all potential internal multiples concurrently. Considering the computational cost, the current...

... with superior interpolation capabilities at nearly the same computational cost of the industry-standard POCS method. 20 4 2023 4 7 2023 17 8 2023 2024 Society of Exploration Geophysicists King Abdullah University of Science and Technology http://dx.doi.org/10.13039/501100004052...

...Ming Cheng; Jun Lin; Xintong Dong; Shaoping Lu; Tie Zhong ABSTRACT Distributed acoustic sensing (DAS) has been moderately used in seismic exploration as a consequence of its advantages, such as low cost, high resolution, high sensitivity, and strong resistance to high temperatures. Nonetheless...