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The AAPG/Datapages Combined Publications Database
Showing 57,453 Results. Searched 200,293 documents.
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
2010
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
Bayesian uncertainty quantification for reservoir parameter changes estimated from time-lapse machine learning
Jinsong Chen, Chang Li, Lei Wei, Anusha Sekar, Maisha Amaru
International Meeting for Applied Geoscience and Energy (IMAGE)
.... It is worth noting that the quality of machine learning estimates is important and should be carefully justified before using them for Bayesian...
2024
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
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
Machine learning and seismic attributes for prospect identification and risking: An example from offshore Australia
Mohammed Farfour, Douglas Foster
International Meeting for Applied Geoscience and Energy (IMAGE)
... and encouraged interpreters to adopt machine learning in many interpretation operations such as pattern recognition, facies classification, logs and lithology...
2022
Quantifying uncertainty in unsupervised machine learning methods for seismic facies using outcrop-derived 3D models and synthetic seismic data
Karelia La Marca, Heather Bedle, Lisa Stright, Rafael Pires de Lima, Kurt J. Marfurt
International Meeting for Applied Geoscience and Energy (IMAGE)
...Quantifying uncertainty in unsupervised machine learning methods for seismic facies using outcrop-derived 3D models and synthetic seismic data...
2022
An Innovative Machine Learning-Based Workflow for Leveraging the Success Ratio of Reservoir Fluid Identification Using Gas while Drilling Data in Mutiara Field, Kutai Basin
Rama Ardhana, Putri Nur, Desianto Payung Battu, Dwi Kurniawan Said, Hendra Halomoan Pasaribu
Indonesian Petroleum Association
...An Innovative Machine Learning-Based Workflow for Leveraging the Success Ratio of Reservoir Fluid Identification Using Gas while Drilling Data...
2024
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
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
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
Seismic facies analysis method based on spectral clustering machine learning
Kaiheng Sang, Nanying Lan, Fanchang Zhang
International Meeting for Applied Geoscience and Energy (IMAGE)
...Seismic facies analysis method based on spectral clustering machine learning Kaiheng Sang, Nanying Lan, Fanchang Zhang Seismic facies analysis method...
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
Regionally consistent depositional models using data analytics and machine learning: A Gulf of Mexico case study
Arpana Sarkar, Dan Ferdinand Fernandez, Daniel Smith
International Meeting for Applied Geoscience and Energy (IMAGE)
.../10.1190/segam2020-3422650.1. Chopra, S., K. Marfurt, and R. K. Sharma, 2019, Unsupervised machine learning facies classification in the Delaware Basin...
2024
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
Insight from keywords co-occurrence in SEG annual meetings: A bibliometric study
Changcheng Liu, Srichand Prajapati
International Meeting for Applied Geoscience and Energy (IMAGE)
... network and machine learning have significantly increased. The bibliometric analysis provides the perception of exploration geophysics although it has...
2022
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
Volumetric supervised contrastive learning for seismic semantic segmentation
Kiran Kokilepersaud, Mohit Prabhushankar, Ghassan AlRegib
International Meeting for Applied Geoscience and Energy (IMAGE)
..., doi: https://doi.org/10.1071/ASEG2012ab120. Alaudah, Y., P. Michalowicz, M. Alfarraj, and G. AlRegib, 2019a, A machine-learning benchmark for facies...
2022
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