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The AAPG/Datapages Combined Publications Database

Showing 55,891 Results. Searched 195,354 documents.

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The Machine Learning's Classification Methods Comparison to Estimate Electrofacies Type, Lithology and Hydrocarbon Fluids from Geophysical Well Log Data

Dimas Andreas Panggabean, Jihan Hardiyanti Arief, Lucky Kriski Muhtar, MN Alamsyah

Indonesian Petroleum Association

...The Machine Learning's Classification Methods Comparison to Estimate Electrofacies Type, Lithology and Hydrocarbon Fluids from Geophysical Well Log...

2021

Abstract: Machine Learning and Deep Learning in Oil and Gas Industry: A Review Ofapplications, Opportunities and Challenges; #91204 (2023)

Tejas Balasaheb Sabale, Syed Aaquib Hussain, Mohd Zuhair, Mohammad Saud Afzal, Arnab Ghosh

Search and Discovery.com

..., “Supervised machine learning for lithology estimation using spectral induced polarization data,” 2018 SEG Int. Expo. Annu. Meet. SEG 2018, pp. 1898–1902...

2023

Abstract: Mapping Massive (up to 500 m) Sandstones in Intraslope Subbasins with a Machine-Learning Enhanced Workflow: Guadalupe A Section, Lower Wilcox, South-Central Texas Coast; #91205 (2023)

Hongliu Zeng and Mariana I. Olariu

Search and Discovery.com

...Abstract: Mapping Massive (up to 500 m) Sandstones in Intraslope Subbasins with a Machine-Learning Enhanced Workflow: Guadalupe A Section, Lower...

2023

Applying Machine Learning Methods to Study Compartmentalization in Complex Reservoirs Based on Static Pressure Information; #42473 (2019)

Jose Victor Contreras

Search and Discovery.com

... al., 2013, Active learning algorithms in seismic facies classification: SEGAM 2013-0769, presented at the SEG Houston 2013 Annual Meeting, Houston...

2019

Applying Machine Learning Technologies in the Niobrara Formation, DJ Basin, to Quickly Produce an Integrated Structural and Stratigraphic Seismic Classification Volume Calibrated to Wells

Carolan Laudon, Jie Qi, Yin-Kai Wang

Unconventional Resources Technology Conference (URTEC)

... Classification Volume Calibrated to Wells Carolan Laudon, Jie Qi, Yin-Kai Wang URTeC: 3701806 Applying Machine Learning Technologies in the Niobrara...

2022

3D Seismic Facies Classification on CPU and GPU HPC Clusters

Sergio Botelho, Vishal Das, Davide Vanzo, Pandu Devarakota, Vinay Rao, Santi Adavani

Unconventional Resources Technology Conference (URTEC)

... on the expertise of the interpreter. With the advancements in machine learning, several researchers have attempted to solve the seismic facies classification problem...

2021

Machine Learning Identification of TOC–Rich Zones in the Eagle Ford Shale

Adewale Amosu, Mohamed Imsalem, Yuefeng Sun

GCAGS Transactions

... applications of machine learning methods to well logs have focused on synthesizing synthetic well logs or facies identification and classification (Amosu...

2020

Rock Thin-section Analysis and Mineral Detection Utilizing Deep Learning Approach

Fatick Nath, Sarker Asish, Shaon Sutradhar, Zhiyang Li, Nazmul Shahadat, Happy R. Debi, S M Shamsul Hoque

Unconventional Resources Technology Conference (URTEC)

... classification of calcite, quartz, and chlorite minerals by geological facies and depth from Mancos shale thin-section images using deep learning...

2023

The Pematang Group Sand Analysis Using Growing Neural Network Machine Learning

Rizky Hidayat, Duddy Lastawan, Fadhli Ruzi, Roby Oksuanandi, L.T.Hardanto

Indonesian Petroleum Association

... the robustness of ML methods for facies classification, using a quantitative measure of the seismic dataset. The underlying strength of machine learning...

2022

Machine Learning Applied to 3-D Seismic Data from the Denver-Julesburg Basin Improves Stratigraphic Resolution in the Niobrara

Carolan Laudon, Sarah Stanley, Patricia Santogrossi

Unconventional Resources Technology Conference (URTEC)

...Machine Learning Applied to 3-D Seismic Data from the Denver-Julesburg Basin Improves Stratigraphic Resolution in the Niobrara Carolan Laudon, Sarah...

2019

Seismic geomorphology analysis of coal-bearing reservoirs using waveform classification: A case study from the Northern Malay Basin

Ismailalwali A. M. Babikir, Ahmed M. A. Salim, Deva P. Ghosh

Geological Society of Malaysia (GSM)

... author email address: [email protected] Abstract:The waveform classification is a machine learning method for pattern recognition, aims...

2019

Abstract: Seismic Facies Classification Using Bayesian Networks; #90172 (2014)

Gu Yuan, Zhu Peimin, Rong Hui, Hai Yang, Zeng Fanping

Search and Discovery.com

...Abstract: Seismic Facies Classification Using Bayesian Networks; #90172 (2014) Gu Yuan, Zhu Peimin, Rong Hui, Hai Yang, Zeng Fanping AAPG Search...

2014

GeoSHAP: A Novel Method of Deriving Rock Quality Index from Machine Learning Models and Principal Components Analysis

T. Cross, K. Sathaye, K. Darnell, J. Ramey, K. Crifasi, D. Niederhut

Unconventional Resources Technology Conference (URTEC)

...GeoSHAP: A Novel Method of Deriving Rock Quality Index from Machine Learning Models and Principal Components Analysis T. Cross, K. Sathaye, K...

2020

Seismic Avo Attributes and Machine Learning Technique to Characterize A Distributed Carbonate Build Up Deposit System in Salawati Basin Eastern Indonesia

Yudistira Effendi, Edi Suwandi Utoro, Sri Lestari, Lilik T. Hardanto

Indonesian Petroleum Association

... for clustering the seismic facies using an unsupervised learning machine learning method to find new insight instead of traditional approaches. AVO...

2022

Production Diagnostics with Time Lapse Geochemistry

Yishu Song, Eric Michael

Unconventional Resources Technology Conference (URTEC)

.... Figure 12. Production facility foulings due to wax deposition A machine learning classification model with LogisticRegression (scikit-learn...

2021

Unsupervised Learning Applied to Hydraulic Flow Unit Identification Based on Wireline Formation Pressure Data; #42260 (2018)

Jose Victor Contreras

Search and Discovery.com

... fields of studies like medical applications. Successful utilizations have been described in seismic facies classification (Roy et al., 2013) and image...

2018

Using Machine Learning Techniques for Mapping Dolomitic Facies in a Triple Porosity Calcareous Reservoir. Campeche Sound, Gulf of Mexico; #42472 (2019)

Antonio Cervantes-Velazquez, Jerson J. Tellez, Karelia La Marca, Kurt Marfurt

Search and Discovery.com

...Using Machine Learning Techniques for Mapping Dolomitic Facies in a Triple Porosity Calcareous Reservoir. Campeche Sound, Gulf of Mexico; #42472...

2019

Abstract: The Application of Machine Learning for Automatic Carbonate Facies Interpretation in Outcrops - An Example from the Jurassic Hanifa Fm., Saudi Arabia; #91204 (2023)

Andika Perbawa, Ahmad Ramdani, Ingrid Puspita, Volker Vahrenkamp

Search and Discovery.com

... and geologist experience. This study presents a machine learning application using a Generative Adversarial Network (GAN) to identify carbonate facies from...

2023

Natural Fracture Presence Prediction in Unconventional Reservoirs Using Machine Learning and Geostatistical Methods - Workflow and HFTS1 Case

Peace C. Eze, Lin Y. Hu

Unconventional Resources Technology Conference (URTEC)

...Natural Fracture Presence Prediction in Unconventional Reservoirs Using Machine Learning and Geostatistical Methods - Workflow and HFTS1 Case Peace C...

2022

Unconventional Reservoir Microstructural Analysis Using SEM and Machine Learning

Amanda S. Knaup, Jeremy D. Jernigen, Mark E. Curtis, John W. Sholeen, John J. Borer IV, Carl H. Sondergeld, Chandra S. Rai

Unconventional Resources Technology Conference (URTEC)

...Unconventional Reservoir Microstructural Analysis Using SEM and Machine Learning Amanda S. Knaup, Jeremy D. Jernigen, Mark E. Curtis, John W. Sholeen...

2019

Well Log Prediction Using Machine Learning

Sundeep Sharma

Oklahoma City Geological Society

...Well Log Prediction Using Machine Learning Sundeep Sharma 2021 50 55 Vol. 72 (2021) No. 2. (March/April) Bergen, K. J., Johnson, P. A., Maarten, V...

2021

Seismic Interpretation with Machine Learning

Rocky Roden, Deborah Sacrey

GEO ExPro Magazine

...Seismic Interpretation with Machine Learning Rocky Roden, Deborah Sacrey GEO Physics Seismic Interpretation with Machine Learning Machine learning...

2016

Statistical Analysis of the Petrophysical Properties of the Bakken Petroleum System

Aimen Laalam, Habib Ouadi, Ahmed Merzoug, Abderraouf Chemmakh, Aldjia Boualam, Sofiane Djezzar, Ilyas Mellal, Meriem Djoudi

Unconventional Resources Technology Conference (URTEC)

...in Using Big Data Analysis and Robust Machine Learning Algorithms. Lefever, Julie A. 2007. “Bakken Formation Middle Member Lithofacies 2.” North Dako...

2022

Abstract: Recognizing facies in the Red River Formation of North Dakota using a Convolutional Neural Network; #90301 (2017)

Stephan H. Nordeng, Ian E. Nordeng, Jeremiah Neubert, Emily G. Sundell

Search and Discovery.com

...Abstract: Recognizing facies in the Red River Formation of North Dakota using a Convolutional Neural Network; #90301 (2017) Stephan H. Nordeng, Ian E...

2017

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