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The AAPG/Datapages Combined Publications Database
Showing 2,442 Results. Searched 200,756 documents.
Elastic-AdjointNet: A physics-guided deep autoencoder to overcome crosstalk effects in multiparameter full-waveform inversion
Arnab Dhara, Mrinal Sen
International Meeting for Applied Geoscience and Energy (IMAGE)
... as recurrent neural networks (RNNs) (Wang et al., 2021; Zhang et al., 2021). This reimplementation of PDEs may not be an attractive option...
2022
Seismic inversion with dictionary learning using unsupervised machine learning
Debajeet Barman, Mrinal K. Sen
International Meeting for Applied Geoscience and Energy (IMAGE)
...., and G. AlRegib, 2018, Petrophysical property estimation from seismic data using recurrent neural networks: 88th Annual International Meeting, SEG...
2022
Detect Oil Spill in Offshore Facility Using Convolutional Neural Network and Transfer Learning
Dharmawan Raharjo, Muhamad Solehudin
Indonesian Petroleum Association
... in oil spill detection using deep convolutional neural networks and transfer learning. We develop an “artificial eye” to automatically classify...
2021
New Insights into the Petroleum Potential of the Onshore Otway Basin, Victoria Australia
Lucas McLean-Hodgson, Bruce McConachie
Petroleum Exploration Society of Australia (PESA)
.... and de Groot, P. 2006 Neural networks and soft computing techniques, with applications in the oil industry. EAGE Publishing. Connolly, D., Aminzadeh, F...
2016
Data-driven Approach to Handling High-dimensional Data Input Space using Feature Selection Based Hybrid Machine Learning Methodology
Search and Discovery.com
N/A
Abstract: Improving Resolution of a Fault Probability Map by a Deep Learning Generative Adversarial Network;
Fan Jiang, Phil Norlund
Search and Discovery.com
... prediction results. GANs are deep neural net architectures composed of two networks, the generator (which generates new data instances...
Unknown
Abstract: Forecasting Water Production from Oil and Gas Wells Using Machine Learning Models, a Case Study from the Paradox Basin, Utah; #91208 (2024)
Omar Bakelli, Rohit Ramgire, Ting Xiao, Eric Edelman, Brian McPherson
Search and Discovery.com
.... This study investigates the application of Long Short-Term Memory (LSTM) networks and AutoRegressive Integrated Moving Average (ARIMA) models to forecast...
2024
Synthetic Well Log Generation Using Machine Learning Techniques
Oyewande Akinnikawe, Stacey Lyne, Jon Roberts
Unconventional Resources Technology Conference (URTEC)
... competition among a suite of machine learning algorithms such as Linear Regression, Artificial Neural Networks (ANNs), Decision Trees, Gradient...
2018
A fuzzy logic approach for the estimation of facies from wire-line logs
M. M. Saggaf, Ed L. Nebrija
AAPG Bulletin
... from their logs. The method has advantages when contrasted with other techniques that rely on multivariate statistics and neural networks. Compared...
2003
The Hybrid Theory-Guided Data Science-Based Method: Unlocking the Full Potential of Seismic Reservoirs Characterization
Rino Saputra, Akash Mathur, Awal Mandong
Indonesian Petroleum Association
... Saputra* Akash Mathur* Awal Mandong* ABSTRACT Machine learning has been used for many decades, particularly for deep neural networks that were...
2023
Separation of simultaneous source wavefields using convolutional neural network
Zhehao Li, Hua-Wei Zhou, Kang Fu
International Meeting for Applied Geoscience and Energy (IMAGE)
... to that by state-of-the-art inversion algorithms. The computational time of the deblending via neural networks can be significantly faster than...
2022
Abstract: Petrophysical Studies in the Characterization of Carbonate Reservoirs of Campos Basin – Brazil, by A. Carrasquilla, G. Nocchi, V. Briones, M. Torres, N. Franco Filho, F. Schuab, and P. Sanchez; #120034 (2012)
Search and Discovery.com
2012
Fast Track Reservoir Characterisation of a Subtle Paleocene Deep Marine Turbidite Field Using a Rock Physics and Seismic Modelling Led Workflow
H.J.S. Morris, R. Christensen, D. Gawith, M. Millwood-Hargrave
Indonesian Petroleum Association
.... Supervised Neural Nets The supervised neural networks used here works as a Multi-layer Perceptron (MLP). This network works by building up a number of many...
2008
Abstract: Correlation of swath bathymetric images with metrics derived from seismic and sidescan data
B. Nichols, R. Courtney, G. Fader, R. Parrott
Atlantic Geology
.... The tasks of preparing metrics, correlation and interpretation are forms of feature classification. A number of simple neural networks have been...
1993
Improving 3D seismic facies interpretation with an advanced deep learning method utilizing both spatial and temporal dependencies
Miao Tian, Sumit Verma, Yining Gao
International Meeting for Applied Geoscience and Energy (IMAGE)
... and recurrent neural networks: Journal of Petroleum Science and Engineering, 196, 107598, doi: https://doi.org/10.1016/j.petrol.2020.107598. Fourth...
2024
Abstract: The Future of Artificial Intelligence (AI) Applications in Geology
Edward R. Jones
Houston Geological Society Bulletin
... cluster analysis, artificial neural networks, decision trees text mining, and many resampling methods such as random forests and ensemble models...
2018
Abstract: Artificial Intelligence and Mathematical Modeling Applied to Wireline Log Interpretation, by K. Amin Khan; #90956 (1995).
Search and Discovery.com
1995
Abstract: Rapid, Wireline Log Assessment Of Shale Properties For Basin Modelling, by A. C. Aplin, Y. Yang, and S. R. Larter; #90928 (1999).
Search and Discovery.com
1999
ABSTRACT: Risk Reduction with a Fuzzy Expert Exploration Too, by W. W. Weiss, R. Broadhead, and A. Sung; #90915 (2000)
Search and Discovery.com
2000
Abstract: Source-rock Analysis of the Lower Member of the Lewis Shale, Washakie Basin, Wyoming, by Adriana V. Rigoris; #90033 (2004)
Search and Discovery.com
2004
Abstract: Image Petrophysics - A New Approach to Evaluate Fractured Reservoirs, by M. Frass; #90090 (2009).
Search and Discovery.com
2009
ABSTRACT: The Prediction Error Filters Applied Seismic Interpretation, by Fernandez, Alfredo; Marfurt, Kurt J.; #90142 (2012)
Search and Discovery.com
2012
Correlation of Seismic Attributes and Mechanical Properties to Rate of Penetration in the Mississippi Lime, OK
Search and Discovery.com
N/A
ABSTRACT: Tuning 3D volumes to geology: the use of 'reservoir metrics` in the processing of seismic data for the development of non- to marginal amplitude plays; #90007 (2002)
Steven Tobias, Johan B. Roosma, Michael S. Benrud, Dr. Robert V. Schneider
Search and Discovery.com
... approach uses neural networks to create pseudo-logs from one or more 3D volumes and then compares these to the actual logs from existing wells. In both...
2002
ABSTRACT: Incorporation of Seismic Facies Analysis in 3-D Geological Modeling; #90013 (2003)
Patricia G. Pistoun, R. E. Sheriff, Grover Gonzales
Search and Discovery.com
... Modeling The application of neural networks to seismic facies analysis improves the characterization of the 3-D geological model, leading to more...
2003