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The AAPG/Datapages Combined Publications Database
Showing 57,483 Results. Searched 200,357 documents.
Self-organizing mapping neural network analysis on seismic-sedimentary facies
Tianyun Wang, Yuan Li, Xiaoping Sun, Pei Ke, Tao Li, Hongxiao Ning, Wei Liu, Xiaofeng Han
International Meeting for Applied Geoscience and Energy (IMAGE)
... excavates the classification information of seismic facies reflected by post stack seismic data, and carries out the study of seismicsedimentary facies...
2022
Integrated Petrophysical Characterization of Hydrocarbon Shale Unconventional Reservoirs Using a Rock Typing Approach: Case Study, Vaca Muerta Play, Neuquén Basin, Argentina
Rafael D. Panesso, Alfonso M. Quaglia, Guillermo A. Alzate, Juan C. Porras
Unconventional Resources Technology Conference (URTEC)
... and hydrocarbon prices in shale plays in the USA and Africa. The calculation of the indicator using different machine learning techniques. According...
2023
VMD Based Sedimentary Cycle Division for Unconventional Facies Analysis
Fangyu Li, Tao Zhao, Yin Zhang, Kurt J. Marfurt
Unconventional Resources Technology Conference (URTEC)
... consent of U RTeC is prohibited. Summary Seismic facies analysis is an important tool for quantitative interpretation. It is usually based on machine...
2016
The power of the crowd and open data learnings from the OZ Minerals Explorer open innovation challenge
Holly Bridgwater, Jess Robertson, Ian Anderson
Petroleum Exploration Society of Australia (PESA)
... industry is also beginning to adopt new tools which are being developed in the fields of machine learning and data science to broaden and redefine...
2019
Geological Association of Canada, Newfoundland and Labrador Section Abstracts: Technical Meeting 2020
Jared Butler, Anne Westhues
Atlantic Geology
... Geology 2020TCT 101 ATLANTIC GEOLOGY · VOLUME 56 · 2020 Applications of machine learning to seismic facies classification Michael W. Dunham, Alison...
2020
The Application of Semi-supervised Geobody Detection Technique using Multiple Seismic Attributes in Petroleum Exploration; #41165 (2013)
Lei Li, Xianhua Ran, Chunfeng Tao, Zhonghong Wan, and Shifan Zhan
Search and Discovery.com
... and reserves of a hydrocarbon reservoir. In this article, we present a semi-supervised methodology using seismic multi-attributes for the classification...
2013
Stratigraphic Partitioning and Distribution of Reservoir Attributes Within the Late Devonian Duvernay Formation, Western Canada Sedimentary Basin
Anna M. Thorson, Stacy C. Atchley, John A.W. Weissenberger, David W. Yeates, Elisabeth G. Rau
Unconventional Resources Technology Conference (URTEC)
... potential, and (4) serve as the sequence stratigraphic foundation for ongoing, complimentary studies into the utility of “machine learning” approaches...
2019
Electronic Storage, Retrieval, and Processing of Well Data
E. L. Dillon
AAPG Bulletin
... from the written document into machine coding. This generally means that the information must be retyped using a keypunch machine. 2. We must...
1964
Leveraging Regional Geology and Sequence Stratigraphic Concepts at Field and Reservoir Scales: Building More Reliable Earth Models Under Sparse Data
Kate C.S. Evans, Jeffrey M. Yarus, Elham Mohsenian, Jose Montero, Jiazuo Zhang,, Alex Bromhead
Unconventional Resources Technology Conference (URTEC)
... petrophysical evaluation, and difficulties arise when data are inconsistent temporally and spatially. Machine-learning algorithms (ML), 3D basin facies models...
2019
Table of Contents: GEOGULF TRANSACTIONS 69th Annual GCAGS Convention and 66th Annual GCSSEPM Meeting
James J. Willis, Norman C. Rosen, Dorene B. West, Jill C. Willis, Tony D’Agostino, Garrett Goettel, Kate Kipper
GCAGS Transactions
... Flood Tidal Delta: Impact of Storms on the Texas Coast 393 Carolina Ramon-Duenas and Julia S. Wellner Machine Learning Facies Classification...
2019
Shale Lithofacies Classification and Modeling: Case Studies From the Bakken and Marcellus Formations, North America
Search and Discovery.com
N/A
A Novel Method to Develop Chemostratigraphy Using X-Ray Fluorescence Spectral Raw Data
M. Hussain, A. Amao, K. Al-Ramadan, L. Babalola, J. Humphrey
Unconventional Resources Technology Conference (URTEC)
... highly homogenous formations. Introduction Dimensionality reduction is widely used in machine learning and big data analytics, especially in analyzing...
2021
Survival Analysis Predicts Flow Regime Changes for Permian Basin Tight Oil Wells
Frank Male, Robin Dommisse
Unconventional Resources Technology Conference (URTEC)
... of Completions Over Time Across the Bakken, Eagle Ford, and Wolfcamp Using a Multi-Target Machine Learning Model and SHAP Values. In SPE/AAPG/SEG Unconventional...
2023
Using High Resolution Geomechanical Data and Machine Learning to Inform Drilling Decisions and Completions Operations in the Wolfcamp, Delaware Basin
Jason Edwards, Carrie Glaser, Eric Romberg
Unconventional Resources Technology Conference (URTEC)
...Using High Resolution Geomechanical Data and Machine Learning to Inform Drilling Decisions and Completions Operations in the Wolfcamp, Delaware Basin...
2019
Integrating Experiments and Well Logs to Predict Caney Shale Static Mechanical Properties During Production with Supervised Machine Learning
Sherif M. Kholy, Hunjoo P. Lee, Mileva Radonjic
Unconventional Resources Technology Conference (URTEC)
... the measured dynamic mechanical properties and further assess the key features for predicting the static Young’s modulus using machine learning models...
2024
Shale brittleness prediction using machine learning—A Middle East basin case study
Ayyaz Mustafa, Zeeshan Tariq, Abdulazeez Abdulraheem, Mohamed Mahmoud, Shams Kalam, and Rizwan Ahmed Khan
AAPG Bulletin
...Shale brittleness prediction using machine learning—A Middle East basin case study Ayyaz Mustafa, Zeeshan Tariq, Abdulazeez Abdulraheem, Mohamed...
2022
Multivariate Analysis and Machine Learning Modeling of Permian Unconventional Decline Curve Analysis
Mei Han, Yuxing Ben, Markus Emsermann, James Cassanelli, Yongfeng Li, Stephanie Noonan, Xueying Xie, Soodabeh Esmaili, Osama Raba
Unconventional Resources Technology Conference (URTEC)
... Formations (Permian), Midland Basin, Texas. AAPG Bulletin, 65(9): 1602-1616. Maguire, M., Cui, A., Witham, T.E., et al. 2022. Using Machine Learning...
2025
Behind-the-outcrop outcrop: A creative machine learning application for ground-penetrating radar data visualization as an artificial photorealistic rock volume
Ahmad Ramdani, Andika Perbawa, Ingrid Puspita, Volker Vahrenkamp
International Meeting for Applied Geoscience and Energy (IMAGE)
...Behind-the-outcrop outcrop: A creative machine learning application for ground-penetrating radar data visualization as an artificial photorealistic...
2022
A denoising diffusion probabilistic modeling (DDPM) approach for predicting CO2 plume evolution from seismic shot gathers
Alexander Y. Sun, Zi Xian Leong, Tieyuan Zhu
International Meeting for Applied Geoscience and Energy (IMAGE)
... studies are deterministic, offering none or very limited prediction uncertainty estimation. Here we present a probabilistic machine learning method...
2023
Seismic Facies Analysis Using Generative Topographic Mapping; #41717 (2015)
Satinder Chopra, Kurt Marfurt
Search and Discovery.com
...Seismic Facies Analysis Using Generative Topographic Mapping; #41717 (2015) Satinder Chopra, Kurt Marfurt Seismic Facies Analysis Using Generative...
2015
AAPG Southwest Section Annual Convention
Search and Discovery.com
N/A
Abstract: Facies Prediction Workflow for a Heterogeneous Carbonate Formation; #91204 (2023)
Cengiz Vur, Mustafa Mahdi, Syed Alam, Raed Dukhayyil
Search and Discovery.com
... to predict the depositional facies for heterogeneous carbonate reservoirs at the wellbore scale to non-cored wells using the detailed sedimentological...
2023
Statistical Characterization and Geological Correlation of Wells Using Automatic Learning Gaussian Mixture Models
David, Lubo, Vikram Jayaram
Unconventional Resources Technology Conference (URTEC)
...Statistical Characterization and Geological Correlation of Wells Using Automatic Learning Gaussian Mixture Models David, Lubo, Vikram Jayaram URTeC...
2014
Architecture and variability of Lower Wilcox sand prone slope deposits, South Central Texas
Mariana I. Olariu, Hongliu Zeng
International Meeting for Applied Geoscience and Energy (IMAGE)
..., lithofacies, and seismic facies information. We used a random-forest machine learning (ML) algorithm to predict acoustic impedance from poststack 3D...
2022
Unlocking Whole Core CT Data for Advanced Description and Analysis
Search and Discovery.com
N/A