Results 61 to 70 of about 240,017 (204)

3D Gravity Modeling of Complex Salt Features in the Southern Gulf of Mexico

International Journal of Geophysics, 2016
We present a three-dimensional (3D) gravity modeling and inversion approach and its application to complex geological settings characterized by several allochthonous salt bodies embedded in terrigenous sediments.
Mauricio Nava-Flores, Carlos Ortiz-Aleman, Mauricio G. Orozco-del-Castillo, Jaime Urrutia-Fucugauchi, Alejandro Rodriguez-Castellanos, Carlos Couder-Castañeda, Alfredo Trujillo-Alcantara   +6 more
doaj   +1 more source

Structures and Leucogranites in the Eastern Himalayan Orogen From Reprocessed INDEPTH‐I Deep Seismic Reflection Profile

Tectonics, Volume 44, Issue 6, June 2025.
Abstract The INDEPTH‐I seismic reflection transect provides a unique data set for understanding active mountain‐building processes during continental collision in the Himalaya and has played a key role in the development of ductile extrusion and channel flow concepts.
Hongqiang Li, Rui Gao, Zhanwu Lu, Jiamin Wang, Xingfu Huang, Ramon Carbonell   +5 more
wiley   +1 more source

Calibration of prestack simultaneous impedance inversion using rock physics

, 2011
This paper represents the third installment in a sequence of reservoir characterization articles that follow a workflow whose ultimate goal is to understand and predict the rock properties of a reservoir away from well control.
Rob Keirstead, Scott Singleton
core   +1 more source

Enhanced Hardrock Seismic Imaging Through Multi‐Scale Information‐Guided Unsupervised Learning

Journal of Geophysical Research: Machine Learning and Computation, Volume 2, Issue 2, June 2025.
Abstract In hardrock or crystalline rock geological settings, due to low impedance contrast, reflected energy is usually weak. In addition, often stronger surface waves and noncoherent noise are observed including high‐frequency scattering noise, which seriously covers the useful reflection signal. Therefore, imaging of hardrock seismic data with a low
Liuqing Yang, Alireza Malehmir, Magdalena Markovic   +2 more
wiley   +1 more source

Extrapolating low-frequency prestack land data with deep learning

, 2020
Missing low-frequency content in seismic data is a common challenge for seismic inversion. Long wavelengths are necessary to reveal large structures in the subsurface and to build an acceptable starting point for later iterations of full-waveform ...
Ovcharenko, Oleg, Daniel Peter, Alkhalifah, Tariq Ali, Kazei, Vladimir, Vladimir Kazei, Ilya Silvestrov, Peter, Daniel, Pavel Plotnitskiy, Andrey Bakulin, Plotnitskiy, Pavel, Silvestrov, Ilya, Oleg Ovcharenko, Tariq Alkhalifah, Bakulin, Andrey   +13 more
core   +1 more source

Duality Methods for Waveform Inversion [PDF]

, 1996
We show in this paper how the application of convex duality leads to various reformulations of the classical non optimizable least squares approach to waveform prestack inversion. These reformulations search all for i) a background velocity model and ii)
Chavent, Guy
core   +3 more sources

Slope assisted Physics‐informed neural networks for seismic signal separation with applications on ground roll removal and interpolation

Geophysical Prospecting, Volume 73, Issue 5, Page 1337-1363, June 2025.
Abstract The knowledge of the local slope field of prestack seismic data is essential in several seismic signal processing tasks. Building on our previous slope‐assisted, physics‐informed seismic interpolation framework, dubbed PINNslope, we introduce a series of enhancements that elevate the framework's versatility.
Francesco Brandolin, Matteo Ravasi, Tariq Alkhalifah   +2 more
wiley   +1 more source

Porosity Prediction in Tight Reservoirs via Elastic Decoupling Factor-Constrained Prestack Density Inversion: A Case Study from the Bohai Bay Basin

Geosciences
The Paleogene deep tight glutenite reservoirs in the Bohai Sea area feature strong heterogeneity and complex pore structures, posing significant challenges to the seismic prediction of sweet-spot reservoirs.
Cai Li, Tong Qin, Teng Liu, Dongjia Hou, Fei Ma   +4 more
doaj   +1 more source

Bayesian inference based on algorithms: MH, HMC, MALA and Lip-MALA for prestack seismic inversion [PDF]

Nonlinear Processes in Geophysics
Seismic inversion for estimating elastic properties is a key technique for reservoir characterization after drilling. The choice of inversion method strongly influences the accuracy, efficiency, and reliability of results.
R. Perez-Roa, S. Infante, S. Infante, G. Barragan, R. Manzanilla   +4 more
doaj   +1 more source

Nonlinear AVA Inversion Based on a Novel Quadratic Approximation for Fluid Discrimination

Geofluids, 2020
Fluid discrimination plays an important role in reservoir exploration and development. At present, the fluid factors used for fluid discrimination are estimated by linear AVA inversion methods based on the linear approximations of the Zoeppritz equations.
Lin Zhou, Xingye Liu, Tianchun Yang, Jianping Liao, Mingfeng Zhu, Gan Zhang   +5 more
doaj   +1 more source