Data‐Worth Analysis for Heterogeneous Subsurface Structure Identification With a Stochastic Deep Learning Framework
About:
This article is published in Water Resources Research.The article was published on 2022-11-01 and is currently open access. It has received 16 citations till now. The article focuses on the topics: Identification (biology).read more
Citations
More filters
Journal ArticleDOI
Subsurface sedimentary structure identification using deep learning: A review
Chuanjun Zhan,Zhenxue Dai,Zhijie Yang,Xiaoying Zhang,Ziqi Ma,Hung Vo Thanh,Mohamad Reza Soltanian +6 more
TL;DR: In this article , a review of deep learning-based methods for the detection of subsurface sedimentary structures is presented, and the limitations and challenges of existing methods are summarized.
Journal ArticleDOI
Supervised deep learning-based paradigm to screen the enhanced oil recovery scenarios
TL;DR: In this article , a deep learning-based classifier consisting of a one-dimensional (1D) convolutional neural network, long short-term memory (LSTM), and densely connected neural network layers is proposed to select the best EOR method based on the reservoir's rock and fluid properties (depth, porosity, permeability, gravity, viscosity), and temperature).
Journal ArticleDOI
Combining Artificial Neural Network and Seeker Optimization Algorithm for Predicting Compression Capacity of Concrete-Filled Steel Tube Column
TL;DR: In this paper , a conventional artificial neural network (ANN) is hybridized with a metaheuristic algorithm called the seeker optimization algorithm (SOA) for estimating axial compression capacity of circular concrete-filled steel tube columns.
Journal ArticleDOI
Sensitivity study of multi-field information maps of typical landslides in mining areas based on transfer learning
TL;DR: Li et al. as mentioned in this paper analyzed the main influencing factors of the landslide in the coal mine area and established the landslide sensitivity evaluation model based on transfer learning, which can achieve a transfer effect higher than 0.95.
Journal ArticleDOI
New Fuzzy-Heuristic Methodology for Analyzing Compression Load Capacity of Composite Columns
Bizhan Karimi Sharafshadeh,Mohammad Javad Ketabdari,Farhood Azarsina,Mohammad Mohammadi Amiri,Moncef L. Nehdi +4 more
TL;DR: In this paper , the adaptive neuro-fuzzy inference system (ANFIS) was trained using four metaheuristic techniques, namely earthworm algorithm (EWA), particle swarm optimization (PSO), salp swarm algorithm (SSA), and teaching learning-based optimization (TLBO).
References
More filters
ReportDOI
TOUGH2 User's Guide Version 2
TL;DR: This report is a self-contained guide to application of Tough2 to subsurface flow problems, and gives a technical description of the TOUGH2 code, including a discussion of the physical processes modeled, and the mathematical and numerical methods used.
Journal ArticleDOI
A natural gradient experiment on solute transport in a sand aquifer: Spatial variability of hydraulic conductivity and its role in the dispersion process
TL;DR: The Borden aquifer was examined in great detail by conducting permeability measurements on a series of cores taken along two cross sections, one along and the other transverse to the mean flow direction as discussed by the authors.
Journal ArticleDOI
TOUGHREACT-A simulation program for non-isothermal multiphase reactive geochemical transport in variably saturated geologic media: Applications to geothermal injectivity and CO2 geological sequestration
TL;DR: This work examines ways in which the chemical composition of reinjected waters can be modified to improve reservoir performance by maintaining or even enhancing injectivity, and uses recent European studies as a starting point to explore chemically induced effects of fluid circulation in the geothermal systems.
Journal ArticleDOI
An integrated finite difference method for analyzing fluid flow in porous media
TL;DR: The integrated finite difference method (IFDM) as mentioned in this paper is a powerful numerical technique for solving problems of groundwater flow in porous media, which combines the advantages of an integral formulation with the simplicity of finite difference gradients and is convenient for handling multidimensional heterogeneous systems composed of isotropic materials.
Journal ArticleDOI
Inverse problem in hydrogeology
TL;DR: It is argued that there is ample room for improvement in groundwater inversion: development of user-friendly codes, accommodation of variability through geostatistics, incorporation of geological information and different types of data, proper accounting of uncertainty, etc.