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The AAPG/Datapages Combined Publications Database
Showing 2,462 Results. Searched 201,044 documents.
ABSTRACT: Risk Reduction with a Fuzzy Expert Exploration Too, by W. W. Weiss, R. Broadhead, and A. Sung; #90915 (2000)
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2000
Abstract: Source-rock Analysis of the Lower Member of the Lewis Shale, Washakie Basin, Wyoming, by Adriana V. Rigoris; #90033 (2004)
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2004
Abstract: Image Petrophysics - A New Approach to Evaluate Fractured Reservoirs, by M. Frass; #90090 (2009).
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2009
ABSTRACT: The Prediction Error Filters Applied Seismic Interpretation, by Fernandez, Alfredo; Marfurt, Kurt J.; #90142 (2012)
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2012
Correlation of Seismic Attributes and Mechanical Properties to Rate of Penetration in the Mississippi Lime, OK
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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
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... 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
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... Modeling The application of neural networks to seismic facies analysis improves the characterization of the 3-D geological model, leading to more...
2003
ABSTRACT Fracture Evaluation from Image Logs A New development: Image Petrophysics, #90104 (2010)
Frass Manfred; Harvey Nicholas
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... 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
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... 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
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... 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
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... 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).
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2015
AAPG Geosciences Technology Workshop; - Abstracts, #90245 (2016).
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2016
Abstract: Fast and Furious: Living Every Well a Millisecond at a Time;
Daniel Khan
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... 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
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... 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
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.... 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
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.... 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
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... 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
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... 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
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... 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)
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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
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..., 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)
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2005
Within the Green River Basin of Wyoming, the Cretaceous Desert Springs field has been producing oil and gas since 1958
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N/A
Constraining Geostatistical Reservoir Models with Seismic Attributes
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N/A