4.7 Article

Data-Worth Analysis for Heterogeneous Subsurface Structure Identification With a Stochastic Deep Learning Framework

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Environmental Sciences

Nitrates in the environment: A critical review of their distribution, sensing techniques, ecological effects and remediation

Simranjeet Singh et al.

Summary: Nitrate pollution is a growing concern, impacting both organisms and human health. Sensing nitrate is an effective way to monitor nitrate distribution in water bodies. Estimating nitrate contamination from different sources and using various techniques for nitrate removal can effectively improve environmental quality.

CHEMOSPHERE (2022)

Article Engineering, Civil

Use of convolutional neural networks with encoder-decoder structure for predicting the inverse operator in hydraulic tomography

A. Jardani et al.

Summary: In this manuscript, the capabilities of a deep learning algorithm called CNN-HT to characterize hydraulic properties of aquifers were discussed. The method relies on an adaptation of the SegNet network for predicting hydraulic tomography, and has shown effectiveness in reconstructing main heterogeneities in hydraulic properties.

JOURNAL OF HYDROLOGY (2022)

Review Energy & Fuels

Machine learning in subsurface geothermal energy: Two decades in review

Esuru Rita Okoroafor et al.

Summary: This study reviews the trends of applying machine learning to subsurface geothermal resource development over the past 20 years, showing a steady increase in applications, especially in reservoir characterization, but also highlighting opportunities and challenges in exploration, drilling, and seismicity, such as data access and training needs.

GEOTHERMICS (2022)

Article Geosciences, Multidisciplinary

Bridging Deep Convolutional Autoencoders and Ensemble Smoothers for Improved Estimation of Channelized Reservoirs

Bogdan Sebacher et al.

Summary: This paper presents a new methodology that combines deep convolutional autoencoder with ensemble-based method for estimating and quantifying uncertainty of facies fields in channelized reservoirs. The proposed methodology reconstructs the geometry of channels inside the parameterization, preserving geological plausibility and achieving good results in experiments.

MATHEMATICAL GEOSCIENCES (2022)

Review Environmental Sciences

A review on magnetic sensors for monitoring of hazardous pollutants in water resources

Akbar Hojjati-Najafabadi et al.

Summary: This study reviews the idea of using magnetic sensors to control and monitor hazardous pollutants in water resources. It discusses water pollutants and toxicology in different water sources and emphasizes the potential of magnetic materials as sensors for pollutant control. The study highlights the importance of controlling hazardous pollutants and the environmental applications of magnetic nano sensors in water resources.

SCIENCE OF THE TOTAL ENVIRONMENT (2022)

Article Engineering, Civil

An integrated inversion framework for heterogeneous aquifer structure identification with single-sample generative adversarial network

Chuanjun Zhan et al.

Summary: This study develops an integrated inversion framework for efficiently generating heterogeneous aquifer structures. The framework is shown to generate heterogeneous aquifer structures with geostatistical characteristics and has a shorter training time compared to traditional methods.

JOURNAL OF HYDROLOGY (2022)

Article Computer Science, Interdisciplinary Applications

Recent developments combining ensemble smoother and deep generative networks for facies history matching

Smith W. A. Canchumuni et al.

Summary: Ensemble smoothers are effective in history matching, but their performance degrades in complex geology. This study explores the use of autoencoders and proposes two strategies to overcome limitations.

COMPUTATIONAL GEOSCIENCES (2021)

Article Computer Science, Interdisciplinary Applications

Hydrogeophysical model calibration and uncertainty analysis via full integration of PEST/PEST plus plus and COMSOL

Andres Gonzalez-Quiros et al.

Summary: Groundwater model calibration is often hindered by limited hydrogeological data availability, but non-intrusive geophysical methods can provide higher spatio-temporal resolution datasets to identify hydrological processes and estimate hydraulic properties. Coupled inversion methods supplement hydrogeological datasets with auxiliary geophysical data, offering multiple calibration and uncertainty analysis options for a broad range of environmental models.

ENVIRONMENTAL MODELLING & SOFTWARE (2021)

Article Geosciences, Multidisciplinary

Capillary Heterogeneity Linked to Methane Lateral Migration in Shallow Unconfined Aquifers

Reza Ershadnia et al.

Summary: The study highlights the importance of capillary pressure heterogeneity in sedimentary architecture for the lateral migration of CH4 in aquifers. It shows that meter-scale sedimentary stratification plays a significant role in CH4 plume migration compared to finer scale strata. Understanding sedimentary architecture and capillary pressure heterogeneity is crucial for accurately assessing the extent of gaseous CH4 leakage and its impacts on groundwater quality and global warming.

GEOPHYSICAL RESEARCH LETTERS (2021)

Review Energy & Fuels

A critical review of distributed fiber optic sensing for real-time monitoring geologic CO2 sequestration

Yankun Sun et al.

Summary: Geologic CO2 sequestration is considered a viable option for reducing greenhouse gas emissions, but can also lead to issues such as reservoir expansion and fault reactivation. Distributed fiber optic sensing technologies can effectively monitor these issues in real-time.

JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING (2021)

Article Energy & Fuels

Machine learning assisted history matching for a deepwater lobe system

Honggeun Jo et al.

Summary: This study introduces a rule-based subsurface modeling method to support comprehensive characterization of geological features in deepwater reservoirs by simulating sediment dynamics to calculate reservoir architecture. Additionally, a machine learning-assisted history matching workflow is proposed to optimize geological models and production forecasts.

JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2021)

Review Chemistry, Analytical

From Fully Physical to Virtual Sensing for Water Quality Assessment: A Comprehensive Review of the Relevant State-of-the-Art

Thulane Paepae et al.

Summary: The paper reviews the feasibility of virtual sensing for water quality assessment, highlighting the importance of a comprehensive virtual sensing system in monitoring water quality. By evaluating modeling approaches and the use of machine learning techniques, it provides new perspectives for water quality assessment.

SENSORS (2021)

Article Environmental Sciences

Automatic Calibration of Groundwater Models With Bias Correction and Data Filtering: Working With Drawdown Data

Michela Trabucchi et al.

Summary: This paper presents a method to filter systematic errors in drawdown data during the calibration of a groundwater model. By introducing a bias correction term and combining a natural head model with a drawdown model for optimization, parameters can be effectively estimated and the best conditional estimate can be obtained.

WATER RESOURCES RESEARCH (2021)

Article Environmental Sciences

Spatiotemporal Dynamics of Nitrous Oxide Emission Hotspots in Heterogeneous Riparian Sediments

Corey D. Wallace et al.

Summary: The study examines the impact of riparian floodplains on N2O production, finding that N2O production is highest in intermediate-K sediments and emissions increase significantly during storms. Sensitivity analysis reveals that denitrification rate is the most influential factor for N2O flux.

WATER RESOURCES RESEARCH (2021)

Article Environmental Sciences

An Improved Tandem Neural Network Architecture for Inverse Modeling of Multicomponent Reactive Transport in Porous Media

Junjun Chen et al.

Summary: This paper introduces a deep learning approach called tandem neural network architecture (TNNA) to estimate input parameters for reactive transport models (RTMs). An adaptive updating strategy (AUS) is proposed to enhance TNNA by reducing approximation error, resulting in decreased inversion bias and improved computational efficiency and accuracy. The TNNA-AUS was validated on a cation exchange example and applied to a real-world RTM problem, showing promising results in understanding complex subsurface hydrogeochemical processes and estimating reaction parameters.

WATER RESOURCES RESEARCH (2021)

Article Engineering, Multidisciplinary

Deep-learning-based surrogate flow modeling and geological parameterization for data assimilation in 3D subsurface flow

Meng Tang et al.

Summary: A deep-learning-based surrogate model for two-phase flow in 3D subsurface formations is presented, along with a CNN-PCA procedure for parameterizing complex geomodels. By training the surrogate model and combining it with the CNN-PCA procedure, a challenging data assimilation problem involving a channelized system is successfully addressed.

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2021)

Article Engineering, Civil

Underlying riparian lithology controls redox dynamics during stage-driven mixing

Corey D. Wallace et al.

Summary: The interactions between surface water-groundwater exchange and sediment lithology influence redox conditions, with high-conductivity sediments taking longer to recover redox potential following storms. The spatial and temporal dynamics of aquifer redox conditions are ultimately governed by sediment lithology.

JOURNAL OF HYDROLOGY (2021)

Article Water Resources

Geophysical mapping of hyporheic processes controlled by sedimentary architecture within compound bar deposits

Jeffery Tyler McGarr et al.

Summary: This study combined geophysical techniques with physical and chemical sediment analyses to investigate the influence of sedimentary architecture on hyporheic exchange dynamics within a compound bar deposit. Results from electromagnetic induction and time-lapse electrical resistivity imaging revealed variability in electrical conductivity and solute mixing dynamics within the compound bar.

HYDROLOGICAL PROCESSES (2021)

Article Computer Science, Interdisciplinary Applications

Simulator-free solution of high-dimensional stochastic elliptic partial differential equations using deep neural networks

Sharmila Karumuri et al.

JOURNAL OF COMPUTATIONAL PHYSICS (2020)

Article Water Resources

The Traveling Pilot Point method. A novel approach to parameterize the inverse problem for categorical fields

Prashanth Khambhammettu et al.

ADVANCES IN WATER RESOURCES (2020)

Article Engineering, Civil

Dilution enhancement in hierarchical and multiscale heterogeneous sediments

Mohamad Reza Soltanian et al.

JOURNAL OF HYDROLOGY (2020)

Article Geosciences, Multidisciplinary

Transport Upscaling in Highly Heterogeneous Aquifers and the Prediction of Tracer Dispersion at the MADE Site

Marco Dentz et al.

GEOPHYSICAL RESEARCH LETTERS (2020)

Article Environmental Sciences

Modeling Influence of Sediment Heterogeneity on Nutrient Cycling in Streambeds

Eugenio Pescimoro et al.

WATER RESOURCES RESEARCH (2019)

Article Computer Science, Interdisciplinary Applications

Parametric generation of conditional geological realizations using generative neural networks

Shing Chan et al.

COMPUTATIONAL GEOSCIENCES (2019)

Article Environmental Sciences

Hydrogeological Model Selection Among Complex Spatial Priors

C. Brunetti et al.

WATER RESOURCES RESEARCH (2019)

Article Environmental Sciences

Minimum Hydraulic Resistance Uncertainty and the Development of a Connectivity-Based Iterative Sampling Strategy

Calogero B. Rizzo et al.

WATER RESOURCES RESEARCH (2019)

Article Engineering, Chemical

Reduced-Order Modeling of Subsurface Multi-phase Flow Models Using Deep Residual Recurrent Neural Networks

J. Nagoor Kani et al.

TRANSPORT IN POROUS MEDIA (2019)

Article Environmental Sciences

Training-Image Based Geostatistical Inversion Using a Spatial Generative Adversarial Neural Network

Eric Laloy et al.

WATER RESOURCES RESEARCH (2018)

Article Engineering, Civil

Model-data interaction in groundwater studies: Review of methods, applications and future directions

Mohammad Mandi Rajabi et al.

JOURNAL OF HYDROLOGY (2018)

Article Environmental Sciences

Stochastic estimation of hydraulic transmissivity fields using flow connectivity indicator data

G. Freixas et al.

WATER RESOURCES RESEARCH (2017)

Article Physics, Fluids & Plasmas

Reconstruction of three-dimensional porous media using generative adversarial neural networks

Lukas Mosser et al.

PHYSICAL REVIEW E (2017)

Article Environmental Sciences

Reactive transport in the complex heterogeneous alluvial aquifer of Fortymile Wash, Nevada

Mohamad Reza Soltanian et al.

CHEMOSPHERE (2017)

Article Green & Sustainable Science & Technology

Reduced order models for assessing CO2 impacts in shallow unconfined aquifers

Elizabeth H. Keating et al.

INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL (2016)

Article Engineering, Civil

Data-worth analysis through probabilistic collocation-based Ensemble Kalman Filter

Cheng Dai et al.

JOURNAL OF HYDROLOGY (2016)

Review Computer Science, Hardware & Architecture

Data quality in internet of things: A state-of-the-art survey

Aimad Karkouch et al.

JOURNAL OF NETWORK AND COMPUTER APPLICATIONS (2016)

Editorial Material Environmental Sciences

Debates-Stochastic subsurface hydrology from theory to practice: A geologic perspective

Graham E. Fogg et al.

WATER RESOURCES RESEARCH (2016)

Review Water Resources

Geological realism in hydrogeological and geophysical inverse modeling: A review

Niklas Linde et al.

ADVANCES IN WATER RESOURCES (2015)

Article Geosciences, Multidisciplinary

Characterization and quantification of aquifer heterogeneity using outcrop analogs at the Canadian Forces Base Borden, Ontario, Canada

G. S. Weissmann et al.

GEOLOGICAL SOCIETY OF AMERICA BULLETIN (2015)

Review Engineering, Chemical

Data cleaning in the process industries

Shu Xu et al.

REVIEWS IN CHEMICAL ENGINEERING (2015)

Review Environmental Sciences

Persistent questions of heterogeneity, uncertainty, and scale in subsurface flow and transport

Peter K. Kitanidis

WATER RESOURCES RESEARCH (2015)

Article Environmental Sciences

Hydrophobic organic contaminant transport property heterogeneity in the Borden Aquifer

Richelle M. Allen-King et al.

WATER RESOURCES RESEARCH (2015)

Article Environmental Sciences

Influence of small-scale fluvial architecture on CO2 trapping processes in deep brine reservoirs

Naum I. Gershenzon et al.

WATER RESOURCES RESEARCH (2015)

Article Engineering, Environmental

Transport of kinetically sorbing solutes in heterogeneous sediments with multimodal conductivity and hierarchical organization across scales

Mohamad Reza Soltanian et al.

STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2015)

Article Engineering, Environmental

An Integrated Framework for Optimizing CO2 Sequestration and Enhanced Oil Recovery

Zhenxue Dai et al.

ENVIRONMENTAL SCIENCE & TECHNOLOGY LETTERS (2014)

Article Engineering, Civil

Controlling scaling metrics for improved characterization of well-head protection regions

Felipe P. J. de Barros et al.

JOURNAL OF HYDROLOGY (2013)

Article Computer Science, Interdisciplinary Applications

TOUGHREACT Version 2.0: A simulator for subsurface reactive transport under non-isothermal multiphase flow conditions

Tianfu Xu et al.

COMPUTERS & GEOSCIENCES (2011)

Article Geosciences, Multidisciplinary

Quantifying Data Worth Toward Reducing Predictive Uncertainty

Alyssa M. Dausman et al.

GROUND WATER (2010)

Article Engineering, Civil

A geostatistical approach to the estimation of a solute trajectory through porous formations

Ilaria Butera et al.

JOURNAL OF HYDROLOGY (2009)

Article Geosciences, Multidisciplinary

Aquifer structure identification using stochastic inversion

Dylan R. Harp et al.

GEOPHYSICAL RESEARCH LETTERS (2008)

Review Geochemistry & Geophysics

Representative hydraulic conductivities in saturated groundwater flow

Xavier Sanchez-Vila et al.

REVIEWS OF GEOPHYSICS (2006)

Review Geosciences, Multidisciplinary

Inverse problem in hydrogeology

J Carrera et al.

HYDROGEOLOGY JOURNAL (2005)

Article Environmental Sciences

An effective Bayesian model for lithofacies estimation using geophysical data

JS Chen et al.

WATER RESOURCES RESEARCH (2003)

Article Geosciences, Multidisciplinary

Ground water model calibration using pilot points and regularization

J Doherty

GROUND WATER (2003)