Journal ArticleDOI
A self-adaptive deep learning algorithm for accelerating multi-component flash calculation
TLDR
The first self-adaptive deep learning algorithm is proposed in details to accelerate flash calculations, which can quantitatively predict the total number of phases in the mixture and related thermodynamic properties at equilibrium for realistic reservoir fluids with a large number of components under various environmental conditions.About:
This article is published in Computer Methods in Applied Mechanics and Engineering.The article was published on 2020-09-01. It has received 60 citations till now. The article focuses on the topics: Artificial neural network & Deep learning.read more
Citations
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Journal ArticleDOI
Deep-learning-based surrogate flow modeling and geological parameterization for data assimilation in 3D subsurface flow
TL;DR: In this paper, a 3D recurrent residual U-Net (referred to as recurrent R-U-Net) is proposed to capture the spatial-temporal information associated with dynamic subsurface flow systems.
Journal ArticleDOI
Efficient uncertainty quantification for dynamic subsurface flow with surrogate by Theory-guided Neural Network
TL;DR: In this article, the authors proposed a method for efficient uncertainty quantification for dynamic subsurface flow with a surrogate constructed by the theory-guided neural network (TgNN), which is specially designed for problems with stochastic parameters.
Journal ArticleDOI
A machine learning model for predicting the minimum miscibility pressure of CO2 and crude oil system based on a support vector machine algorithm approach
TL;DR: A new prediction model based on support vector machine (SVM) was developed for pure/impure CO2 and crude oil system based on 147 sets of MMP data with full information on reservoir temperature, oil composition and gas composition.
Journal ArticleDOI
Accelerating flash calculations in unconventional reservoirs considering capillary pressure using an optimized deep learning algorithm
TL;DR: An NVT flash calculation scheme is established with a thermodynamically stable evolution algorithm to generate training and testing data for the proposed deep neural network, and the trained model can be used for various fluid mixtures, which significantly accelerates flash calculations in unconventional reservoirs.
Journal ArticleDOI
Review on space energy
Tao Zhang,Yiteng Li,Yin Chen,Xiaoyu Feng,Xingyu Zhu,Zhangxing Chen,Jun Yao,Yongchun Zheng,Jianchao Cai,Hongqing Song,Shuyu Sun +10 more
TL;DR: In this paper, a critical review is conducted to identify the most potential space energy resources, to conclude on the current exploitation technologies and to suggest on the challenges and future directions, and an example of feature detection using Convolutional Neural Networks is illustrated as an example to demonstrate the application of deep learning techniques in space energy exploitation.
References
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Proceedings Article
ImageNet Classification with Deep Convolutional Neural Networks
TL;DR: The state-of-the-art performance of CNNs was achieved by Deep Convolutional Neural Networks (DCNNs) as discussed by the authors, which consists of five convolutional layers, some of which are followed by max-pooling layers, and three fully-connected layers with a final 1000-way softmax.
Posted Content
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
TL;DR: Faster R-CNN as discussed by the authors proposes a Region Proposal Network (RPN) to generate high-quality region proposals, which are used by Fast R-NN for detection.
Journal ArticleDOI
Approximation by superpositions of a sigmoidal function
TL;DR: It is demonstrated that finite linear combinations of compositions of a fixed, univariate function and a set of affine functionals can uniformly approximate any continuous function ofn real variables with support in the unit hypercube.
Journal ArticleDOI
A New Two-Constant Equation of State
Ding-Yu Peng,Donald B. Robinson +1 more
TL;DR: In this paper, the attractive pressure term of the semi-empirical van der Waals equation has been modified for predicting the vapor pressure and volumetric behavior of singie-component systems.
Journal ArticleDOI
Equilibrium constants from a modified Redlich-Kwong equation of state
TL;DR: In this article, a modified Redlich-Kwong equation of state is proposed, which can be extended successfully to multicomponent-VLE calculations for mixtures of nonpolar substances, with the exclusion of carbon dioxide.