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   Articles with "seismic inversion" as a keyword



PNN Enhanced Seismic Inversion for Porosity Modeling and Delineating the Potential Heterogeneous Gas Sands via Comparative Inversion Analysis in the Lower Indus Basin

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recommendations! Published in 2024 at "Pure and Applied Geophysics"

DOI: 10.1007/s00024-024-03562-5

Abstract: Seismic inversion has been in use for the last two decades to measure inverted impedances using an integrated data set approach. This research focuses on the application of multi-attribute seismic inversion and the geostatistical probabilistic… read more here.

Keywords: pnn; lower indus; indus basin; seismic inversion ... See more keywords

Iterative geostatistical seismic inversion incorporating local anisotropies

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recommendations! Published in 2020 at "Computational Geosciences"

DOI: 10.1007/s10596-020-09966-1

Abstract: Geostatistical seismic inversion methods use stochastic sequential simulation as the model generation and perturbation technique. These stochastic simulation methods use a global variogram model to express the expected spatial continuity pattern of the subsurface elastic… read more here.

Keywords: inversion; variogram; geostatistical seismic; seismic inversion ... See more keywords

Geostatistical Seismic Inversion with Self-Updating of Local Probability Distributions

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recommendations! Published in 2020 at "Mathematical Geosciences"

DOI: 10.1007/s11004-020-09896-9

Abstract: Three-dimensional subsurface elastic models inverted from seismic reflection data are the basis of the geo-modeling workflow. These models are often used to predict the spatial distribution of reservoir rock properties such as porosity, volume of… read more here.

Keywords: self updating; inversion; geostatistical seismic; seismic inversion ... See more keywords

Estimating the safe mud weight window for drilling operations through pre-stack seismic inversion, a case study in one of the Southwestern Iran oil fields

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recommendations! Published in 2025 at "Journal of Petroleum Exploration and Production Technology"

DOI: 10.1007/s13202-024-01921-5

Abstract: One of the paramount parameters in the drilling industry is the determination of the safe drilling mud window. Incorrect specification of this parameter can lead to significant hazards such as blowouts, loss of personnel, and… read more here.

Keywords: pressure; seismic inversion; pre stack; mud ... See more keywords

Utilizing post-stack seismic inversion for delineation of gas-bearing sand in a pleistocene reservoir, baltim gas field, nile delta, Egypt

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recommendations! Published in 2024 at "Scientific Reports"

DOI: 10.1038/s41598-024-78186-9

Abstract: Given useful rock properties, gas sands generally appear as bright events on seismic data. Unfortunately, partially saturated gas sands tend to be of similar brightness to fully saturated gas sands so cannot be distinguished easily.… read more here.

Keywords: baltim; stack; reservoir; seismic inversion ... See more keywords

A Hybrid Regularization Operator and Its Application in Seismic Inversion

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recommendations! Published in 2021 at "IEEE Access"

DOI: 10.1109/access.2021.3106912

Abstract: Seismic inversion is an effective tool to estimate the properties of subsurface strata from seismograms. However, the intrinsic ill-posedness of the inversion problem causes the inverted subsurface properties to be easily polluted by inversion errors… read more here.

Keywords: inversion; regularization operator; seismic inversion; regularization ... See more keywords

Hybrid Global Stochastic and Bayesian Linearized Acoustic Seismic Inversion Methodology

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recommendations! Published in 2017 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2017.2692388

Abstract: Seismic inversion is an important technique for reservoir modeling and characterization due to its potential in inferring the spatial distribution of the subsurface elastic properties of interest. Two of the most common seismic inversion methodologies… read more here.

Keywords: bayesian linearized; methodology; inversion; inversion methodology ... See more keywords

Deep Learning Seismic Inversion Based on Prestack Waveform Datasets

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recommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2022.3195858

Abstract: Prediction of elastic parameters (e.g., P-, S-wave velocity, and density) from observed seismic data is one of the most common means of reservoir characterization. Recently, deep learning (DL), as a data-driven approach, has been attracting… read more here.

Keywords: inversion; seismic inversion; training dataset; data driven ... See more keywords

Seismic Inversion Based on Acoustic Wave Equations Using Physics-Informed Neural Network

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recommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2023.3236973

Abstract: Seismic inversion is a significant tool for exploring the structure and characteristics of the underground. However, the conventional inversion strategy strongly depends on the initial model. In this work, we employ the physics-informed neural network… read more here.

Keywords: wave equations; inversion; physics; seismic inversion ... See more keywords

Joint Laplace- and Fourier-Domain Seismic Inversion for Orthorhombic Medium Parameter Estimates

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recommendations! Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2024.3355216

Abstract: Two sets of rotationally invariant, horizontal, and vertical fractures permeated in a homogeneous isotropic background rock can yield a long-wavelength effective orthorhombic medium. Amplitude variation with angle and azimuth (AVAZ) inversion is an effective tool… read more here.

Keywords: laplace; orthorhombic medium; fourier domain; domain seismic ... See more keywords

Seismic Inversion Based on Fusion Neural Network for the Joint Estimation of Acoustic Impedance and Porosity

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recommendations! Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2024.3426563

Abstract: Seismic inversion and petrophysical inversion are the most common methods used in exploration geophysics to obtain elastic and petrophysical parameters, which are essential for reservoir characterization. However, they are commonly ill-posed problems and both are… read more here.

Keywords: fusion neural; seismic inversion; network; inversion ... See more keywords