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The AAPG/Datapages Combined Publications Database
Showing 2,442 Results. Searched 200,691 documents.
ABSTRACT Fracture Evaluation from Image Logs A New development: Image Petrophysics, #90104 (2010)
Frass Manfred; Harvey Nicholas
Search and Discovery.com
... is a dynamic interference test among two or more wells, another is the use of seismic attributes and neural networks to correlate with image logs and/or core...
2010
ABSTRACT: Construction of a Software Tool for Improving the Well Placement for the Development of a Mature Hydrocarbon Field Using Neurosumulation; #90108 (2010)
Hector E. Barrios Molano and Elkin R. Santafé
Search and Discovery.com
... is neurosimulation, this technique forms a bridge between artificial neural networks (ANN) and numerical reservoir simulation (NRS). This work describes...
2010
Emerging and Future Trends in Seismic Attributes
Search and Discovery.com
... correlated to well control using multivariate analysis, geostatistics, or neural networks. Seismic attributes such as coherence, Sobel filter edge...
2013
Abstract: Seismic Facies Classification Using a Visual-Based Method, Part 1: Theoretical Basis; #90211 (2015)
Ivan Marroquin, Jean Jules Brault, and Bruce Hart
Search and Discovery.com
... in an effort to define and analyze stratigraphic features of interest. Automated seismic facies analysis, using unsupervised or supervised neural networks...
2015
AAPG Education Directorate Forum, Oklahoma City, Oklahoma, February 19, 2015; - Abstracts, #90239 (2015).
Search and Discovery.com
2015
AAPG Geosciences Technology Workshop; - Abstracts, #90245 (2016).
Search and Discovery.com
2016
Abstract: Fast and Furious: Living Every Well a Millisecond at a Time;
Daniel Khan
Search and Discovery.com
... analytics and neural networks. Sometimes a quick solution is a higher priority than the perfect solution. (4) Automate when possible. Look for those...
Unknown
Abstract: A Transfer Learning Approach to Rock Property Estimation Workflows;
Ahmad Mustafa, Motaz Alfarraj, Ghassan Alregib
Search and Discovery.com
... in seismic data. In this work, we also propose designing a specialized deep learning architecture based on sequence modeling and convolutional neural networks...
Unknown
Abstract: The Use of Artificial Intelligence for the Evaluation of Structural Controls on Reservoir Development and Well Placement; #91202 (2022)
Mark Sofield
Search and Discovery.com
.... The human brain comprises a connected network of neurons so the aim of the Artificial Neural Network (ANN) is to simulate this network, allowing...
2022
Abstract: Seismic Characterization of Complex Salt Dome Structures using Machine Learning; #91204 (2023)
Osama Alsalmi, Saleh Dossary, Gino Ananos
Search and Discovery.com
.... Convolutional Neural Networks (CNNs) gained popularity in image segmentation tasks. In this study, a machine learning model based on U-Net architecture is used...
2023
Abstract: Geological Control in Machine Learning based Seismic Facies Recognition; #91204 (2023)
Sihai Zhang
Search and Discovery.com
... of seismic attributes results in a huge amount of data redundancy. Machine learning (ML) technologies such as Artificial Neural Networks (ANNs...
2023
Abstract: Geochemists Need Supervision: A Case for Expanding the Use of Supervised Machine Learning in Petroleum Geochemical Interpretation; #91205 (2023)
Benjamin Kirkland and Bao Nguyen
Search and Discovery.com
... confident following a supervised analysis. One key reason is because supervised techniques such as regressions or neural networks can be trained...
2023
Abstract: Machine Learning Application for Shear Velocity Prediction in Unconventional Reservoirs; #91206 (2023)
Nassim Bouabdallah, Abdeldjalil Latrach, Aimene Aihar
Search and Discovery.com
... developed and tested on the dataset, namely: XGBoost, Random Forest regression, AdaBoost regression, Gaussian process regression, and artificial neural...
2023
Automated Analysis of Gridded Geologic Map Data, by Susan M. Schrader and Robert S. Balch; #90052 (2006)
Search and Discovery.com
2006
The Prediction Error Filters Applied to the Seismic Interpretation Process of a Mississippian Tripolitic Chert Reservoir, #40964 (2012)
Alfredo Fernandez, Ben Dowdell, Kurt J. Marfurt
Search and Discovery.com
..., Self-Organizing Maps (SOM) and Applied Neural Networks (ANN) are the two most popular methods in classifying seismic stratigraphic patterns. We compare...
2012
LWD Density-Neutron Image Logs in Clastic Facies Evaluation - Example From Offshore Niger Delta, by Mohammed Doghmi, Taofeek Ogunyemi, and Peter Schlicht; #90037 (2005)
Search and Discovery.com
2005
Within the Green River Basin of Wyoming, the Cretaceous Desert Springs field has been producing oil and gas since 1958
Search and Discovery.com
N/A
Constraining Geostatistical Reservoir Models with Seismic Attributes
Search and Discovery.com
N/A
Neural network-based seismic data conditioning: Case study of engineering seismic survey data
Juan Lee, Yongchae Cho
International Meeting for Applied Geoscience and Energy (IMAGE)
... reconstruction has been successfully achieved using U-Net++ (Huang et al., 2022). The attention module (Bahdanau et al., 2014) enables neural networks to focus...
2024
Abstract: Use of Artificial Neural Network to Identify Turbidite Deposit Gradation Generated in Laboratory; #90063 (2007)
Search and Discovery.com
2007
ABSTRACT: Determination of Carbonate Permeability Category using Hybrid Neural Network and Fuzzy Inference Systems; #90049 (2005)
H-C. Chang, H-C. Chen, D. C. Kopaska-Merkel
Search and Discovery.com
... nor stable. For this reason, ART neural networks, with topological effects and dynamic architectures (e.g., increasing the output nodes if needed...
Unknown
Convolutional neural networks as an aid to biostratigraphy and micropaleontology: a test on late Paleozoic microfossils
Rafael Pires De Lima, Katie F. Welch, James E. Barrick, Kurt J. Marfurt, Roger Burkhalter, Murphy Cassel, Gerilyn S. Soreghan
PALAIOS
...Convolutional neural networks as an aid to biostratigraphy and micropaleontology: a test on late Paleozoic microfossils Rafael Pires De Lima, Katie F...
2020
Geoscientific reasoning via graph neural networks
Grant Seastream, Huseyin Denli
International Meeting for Applied Geoscience and Energy (IMAGE)
...Geoscientific reasoning via graph neural networks Grant Seastream, Huseyin Denli Geoscientific reasoning via graph neural networks Grant Seastream...
2022
Viable Solutions to Overcome Weaknesses of Deep Learning Applications in Production Forecasting: A Comprehensive Review
Y. Kocoglu, S. Gorell
Unconventional Resources Technology Conference (URTEC)
..., 2000), Multilayer Perceptron (MLP) (Rosenblatt, 1958), and Recurrent neural networks (RNN) (Rumelhart et al., 1986). In regards to the data-driven...
2022
Evaluation Method of Low Permeability Reservoirs Based on Logging Petrophysical Facies Identification: A Case Study of the Upper Member of Mengyin Formation in Gaoqing Area, Dongying Depression; #42448 (2019)
Ya Wang, Shaochun Yang, Yan Lu
Search and Discovery.com
... is an unsupervised artificial neural networks invented in 1982 by Kohonen. The network structure consists of input layer and competition layer (Fig. 3...
2019