A novel hybrid recurrent convolutional network for surrogate modeling of history matching and uncertainty quantification

A novel method for trajectory recognition and working condition diagnosis of sucker rod pumping systems based on high-resolution representation learning

A vector-to-sequence based multilayer recurrent network surrogate model for history matching of large-scale reservoir

Both upstream and downstream intergenic regions are critical for the mob as tumor suppressor gene activity in Drosophila.

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Competitive Knowledge Transfer–Enhanced Surrogate-Assisted Search for Production Optimization

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Deep Conditional Generative Adversarial Network Combined With Data‐Space Inversion for Estimation of High‐Dimensional Uncertain Geological Parameters

Deep reinforcement learning and adaptive policy transfer for generalizable well control optimization

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Diagnosis of pumping machine working conditions based on transfer learning and ViT model

Digital Rock Mechanical Properties by Simulation of True Triaxial Test: Impact of Microscale Factors

Dynamic Pore-Scale Dissolution by CO2-Saturated Brine in Carbonates: Impact of Homogeneous Versus Fractured Versus Vuggy Pore Structure

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Effect of Pore Structure and Capillary Number on Gas-Water Flow Patterns in Carbonate Rocks

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Effect of particle content on relative permeabilities in water flooding

Fault diagnosis method for sucker rod well with few shots based on meta-transfer learning

scientific article published on 22 February 2022

Imbalanced Working States Recognition of Sucker Rod Well Dynamometer Cards Based on Data Generation and Diversity Augmentation

In-Situ Imaging of CO2 Trapping and Oil Recovery in Three-Phase Systems: Dependence on Pore Geometry and Wettability

Inversion Framework of Reservoir Parameters Based on Deep Autoregressive Surrogate and Continual Learning Strategy

Mini Review on Wettability in the Methane–Liquid–Rock System at Reservoir Conditions: Implications for Gas Recovery and Geo-Storage

Permeability prediction of considering organic matter distribution based on deep learning

Pore‐Scale Investigation of Methane Hydrate Dissociation Using the Lattice Boltzmann Method

Quantitative Statistical Evaluation of Micro Residual Oil after Polymer Flooding Based on X-ray Micro Computed-Tomography Scanning

Self-adaptive multifactorial evolutionary algorithm for multitasking production optimization

Stress Sensitivity of Fractured and Vuggy Carbonate: An X‐Ray Computed Tomography Analysis

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Study of Gas Flow Characteristics in Tight Porous Media with a Microscale Lattice Boltzmann Model

scientific article published on 02 September 2016

Surrogate-reformulation-assisted multitasking knowledge transfer for production optimization

The prediction of reservoir production based proxy model considering spatial data and vector data

Training effective deep reinforcement learning agents for real-time life-cycle production optimization

Upscaling of Transport Properties in Complex Hydraulic Fracture Systems

Viscous Dissipation and Apparent Permeability of Gas Flow in Nanoporous Media

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