Digital carbonate rock physics [PDF]
Solid Earth, 2016 Modern estimation of rock properties combines imaging with advanced numerical simulations, an approach known as digital rock physics (DRP). In this paper we suggest a specific segmentation procedure of X-ray micro-computed tomography data with two ...
E. H. Saenger +6 more
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Prediction method of physical parameters based on linearized rock physics inversion
Petroleum Exploration and Development, 2020 A linearized rock physics inversion method is proposed to deal with two important issues, rock physical model and inversion algorithm, which restrict the accuracy of rock physics inversion.
Jiajia ZHANG +4 more
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Rock Physics Modeling of Acoustic Properties in Gas Hydrate-Bearing Sediment
Journal of Marine Science and Engineering, 2022 Gas hydrates (GH) are well known to have an influential effect on the velocity and attenuation of gas hydrate-bearing sediments (GHBS). Based on rock physics modeling, sediment velocity has been extensively used to characterize the distribution of gas ...
Linsen Zhan +3 more
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Downtown Partnership Board/Annual Meetings/Top of the Rock Award
, 2023 This file contains a photograph of Jack Turner and Rick Beard at the Downtown Little Rock Partnership annual meeting.This project was supported in part by a Humanities Collections and Reference Resources Implementation Grant from the National Endowment ...
The Downtown Little Rock Partnership
core +20 more sources
Machine Learning-Based Prediction of Well Logs Guided by Rock Physics and Its Interpretation [PDF]
SensorsThe refinement of acquired well logs has traditionally relied on predefined rock physics models, albeit with their inherent limitations and assumptions. As an alternative, effective yet less explicit machine learning (ML) techniques have emerged.
Ji Zhang +5 more
doaj +2 more sources
A bayesian approach to inclusion based rock physics modeling with multiple statistical ensembles [PDF]
Scientific ReportsA statistics-based approach to rock physics often includes the calculation of a series of simulations to fit data along with probability associated with the modeling to characterize uncertainty.
Kyle T. Spikes, Mrinal K. Sen
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Estimation of Equivalent Pore Aspect Ratio in Rock Physics Models and Validation Using Digital Rocks
GeosciencesComplex pore structures with multiple inclusions challenge the predictive accuracy of rock physics models. This study introduces a novel method for estimating a single equivalent pore aspect ratio that optimizes rock physics model predictions by ...
Luiz Eduardo Queiroz +5 more
doaj +3 more sources
Physical and Physiological Determinants of Rock Climbing [PDF]
International Journal of Sports Physiology and Performance, 2020 Purpose: Rock climbing performance relies on many characteristics. Herein, the authors identified the physical and physiological determinants of peak performance in rock climbing across the range from lower grade to elite. Methods: Forty four male and 33 female climbers with onsight maximal climbing grades 5a–8a and 5a–7b+, respectively, were tested ...
MacKenzie, Robert +6 more
openaire +2 more sources
Bayesian Analysis to Determine Relative Significance of Inputs of a Rock-Physics Model
Frontiers in Earth Science, 2021 Rock-physics models relate rock properties to elastic properties through non-unique relationships and often in the presence of seismic data that contain significant noise.
Kyle T. Spikes +2 more
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Rock Physics Modeling and Fracture Prediction of Double Porosity Media in the Hutubi Area
CT Lilun yu yingyong yanjiu, 2023 The deep target strata K1q, J3k and J2t in the Hutubi area have large-scale reservoirs and abundant oil and gas resources, but the traditional rock physics modeling of porous media cannot effectively distinguish oil and gas desserts from mudstones. Based
Liming QIN +6 more
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