Integrating deep learning and logging data analytics for lithofacies classification and 3D modeling of tight sandstone reservoirs

An intelligent approach for reservoir quality evaluation in tight sandstone reservoir using gradient boosting decision tree algorithm - A case study of the Yanchang Formation, mid-eastern Ordos Basin, China

(2021) Jing-Jing Liu et al.   MARINE AND PETROLEUM GEOLOGY

The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation

(2020) Davide Chicco et al.   BMC GENOMICS

A gradient boosting decision tree algorithm combining synthetic minority over-sampling technique for lithology identification

(2020) Kaibo Zhou et al.   GEOPHYSICS

A Data-Driven Approach for Lithology Identification Based on Parameter-Optimized Ensemble Learning

(2020) Zhixue Sun et al.   Energies

An improved method for lithology identification based on a hidden Markov model and random forests

(2020) Pu Wang et al.   GEOPHYSICS

Evaluation of deep learning algorithms for national scale landslide susceptibility mapping of Iran

(2020) Phuong Thao Thi Ngo et al.   Geoscience Frontiers

Lithofacies classification of a geothermal reservoir in Denmark and its facies-dependent porosity estimation from seismic inversion

(2020) Runhai Feng et al.   GEOTHERMICS

Motion trajectory prediction based on a CNN-LSTM sequential model

(2020) Guo Xie et al.   Science China-Information Sciences

3D Reservoir Geological Modeling Algorithm Based on a Deep Feedforward Neural Network: A Case Study of the Delta Reservoir of Upper Urho Formation in the X Area of Karamay, Xinjiang, China

(2020) Jianpeng Yao et al.   Energies

Deep learning neural networks for spatially explicit prediction of flash flood probability

(2020) Mahdi Panahi et al.   Geoscience Frontiers

A new method of lithologic identification and distribution characteristics of fine - grained sediments: A case study in southwest of Ordos Basin, China

(2019) Qiqi Lyu et al.   Open Geosciences

Machine learning for data-driven discovery in solid Earth geoscience

(2019) Karianne J. Bergen et al.   SCIENCE

A Deep-Learning-Based Geological Parameterization for History Matching Complex Models

(2019) Yimin Liu et al.   Mathematical Geosciences

Multi-Imbalance: An open-source software for multi-class imbalance learning

(2019) Chongsheng Zhang et al.   KNOWLEDGE-BASED SYSTEMS

Optimization of models for a rapid identification of lithology while drilling - A win-win strategy based on machine learning

(2019) Jian Sun et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Generating geologically realistic 3D reservoir facies models using deep learning of sedimentary architecture with generative adversarial networks

(2019) Tuan-Feng Zhang et al.   Petroleum Science

Predicting residential energy consumption using CNN-LSTM neural networks

(2019) Tae-Young Kim et al.   ENERGY

A deep residual convolutional neural network for automatic lithological facies identification in Brazilian pre-salt oilfield wellbore image logs

(2019) Manuel Blanco Valentín et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Data-Driven In-Situ Sonic-Log Synthesis in Shale Reservoirs for Geomechanical Characterization

(2019) Jiabo He et al.   SPE RESERVOIR EVALUATION & ENGINEERING

Lithology identification using well logs: A method by integrating artificial neural networks and sedimentary patterns

(2019) Xiaoxu Ren et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Depositional regimes and reservoir architecture characterization of alluvial fans of Karamay oilfield in Junggar basin, Western China

(2019) Shunming Li et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Rock-Type Definition and Pore Characterization of Tight Carbonate Rocks Based on Thin Sections and MICP and NMR Experiments

(2018) Fei Tian et al.   APPLIED MAGNETIC RESONANCE

The Controls of Pore-Throat Structure on Fluid Performance in Tight Clastic Rock Reservoir: A Case from the Upper Triassic of Chang 7 Member, Ordos Basin, China

(2018) Yunlong Zhang et al.   GEOFLUIDS

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

(2018) Liang-Chieh Chen et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary

(2018) Alberto Fernandez et al.   JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH

A lithology identification method for continental shale oil reservoir based on BP neural network

(2018) Luo Han et al.   Journal of Geophysics and Engineering

A Deep CNN-LSTM Model for Particulate Matter (PM2.5) Forecasting in Smart Cities

(2018) Chiou-Jye Huang et al.   SENSORS

EL_LSTM: Prediction of DNA-binding residue from Protein sequence by Combining Long Short-Term Memory and Ensemble Learning

(2018) Jiyun Zhou et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

The effect of carbonate reservoir heterogeneity on Archie's exponents (a and m), an example from Kangan and Dalan gas formations in the central Persian Gulf

(2018) Maziyar Nazemi et al.   Journal of Natural Gas Science and Engineering

Improved SMOTE Algorithm to Deal with Imbalanced Activity Classes in Smart Homes

(2018) Shikai Guo et al.   NEURAL PROCESSING LETTERS

Lithological facies classification using deep convolutional neural network

(2018) Yadigar Imamverdiyev et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Data mining and machine learning for identifying sweet spots in shale reservoirs

(2017) Pejman Tahmasebi et al.   EXPERT SYSTEMS WITH APPLICATIONS

Ensemble machine learning: An untapped modeling paradigm for petroleum reservoir characterization

(2017) Fatai Adesina Anifowose et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

LSTM: A Search Space Odyssey

(2017) Klaus Greff et al.   IEEE Transactions on Neural Networks and Learning Systems

New simulation technique to estimate the hydrocarbon type for the two untested members of Belayim Formation in the absence of pressure data, Badri Field, Gulf of Suez, Egypt

(2016) A. M. Abudeif et al.   Arabian Journal of Geosciences

Learning Rotation-Invariant Convolutional Neural Networks for Object Detection in VHR Optical Remote Sensing Images

(2016) Gong Cheng et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

A survey on the application of recurrent neural networks to statistical language modeling

(2015) Wim De Mulder et al.   COMPUTER SPEECH AND LANGUAGE