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The AAPG/Datapages Combined Publications Database
Showing 2,441 Results. Searched 200,625 documents.
2023 Middle East Oil, Gas and Geosciences Show ; - Abstracts, #91204 (2023).
Search and Discovery.com
2023
A rock physics inversion method based on physics-guided autoencoder network
Zhuofan Liu, Umair bin Waheed, Ammar El-Husseini, Jiajia Zhang
International Meeting for Applied Geoscience and Energy (IMAGE)
...- guided convolutional neural network: Interpretation, 7, no. 3, SE161–SE174, doi: https://doi.org/10.1190/INT-2018-0236.1. Bosch, M., T. Mukerji, and E. F...
2024
Extended Abstract: Managing “Big Data” and Finding the “Sweet Spots”: Principal Component Analysis and Neural Analysis of Seismic Attributes to the Rescue
Deborah King Sacrey
Houston Geological Society Bulletin
...Extended Abstract: Managing “Big Data” and Finding the “Sweet Spots”: Principal Component Analysis and Neural Analysis of Seismic Attributes...
2015
Abstract: Comparison of Image Analysis Tools in Mapping Water-Bottom Sediment Distributions from a Modern Carbonate Platform Using Multi-Spectral Landsat Data, by S. E. Kaczmarek, C. E. Harris, and S. Fullmer; #90090 (2009).
Search and Discovery.com
2009
Constructing a Geologic Model to Simulate and Optimize the Commercial Scale Injection and Storage of CO
Search and Discovery.com
N/A
Innovative 3-D Reservoir Characterization in the Papua New Guinea Fold Belt
Search and Discovery.com
N/A
A Novel Approach to Productivity Prediction of Carbonate Gas Reservoirs From Electrical Image Logs
Search and Discovery.com
N/A
Reservoir 3-D Static Modelling Using Multi-Attribute Seismic Facies Characterization: Example of a Carbonate Lacustrine System From the Kwanza Basin of Angola
Search and Discovery.com
N/A
Hybrid Strategy for Porosity Distribution Mapping on a Heterogeneous Reservoir Using Artificial Intelligence Method
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N/A
Abstract: Integration of Core, Borehole Image and Open Hole Well Log Data to Identify Hydraulic Flow Units in the Unayzah Formation; #90254 (2016)
Ivan Deshenenkov, Keith A. MacPherson
Search and Discovery.com
... routine core analysis (RCA) “porosity-permeability.” 2) Supervised neural network calibration of open hole log based rock classes with core HFU data. 3...
2016
Abstract: High-Resolution Three-Dimensional Water Saturation Prediction A Case Study from Offshore Nile Delta; #90319 (2018)
Islam A. Mohamed, Ahmed Hosny, Abdulrahman Ali Mohamed
Search and Discovery.com
... as the Lamé parameter volumes of lambda-rho (λρ) and mu-rho (μρ). Implementing probabilistic neural network, the inversion results were used to predict...
2018
Abstract: An Integrated Approach Using Seismic, Well Logs and Cores for Predicting the Depositional Architecture in Jurassic Reservoirs, South Mangyshlak Basin, Western Kazakhstan;
Michele Morosini, Juan Daniel Sanchez Mendoza, Renat Iltukov, Meirzhan Mukushev
Search and Discovery.com
... this challenge. A wide range of seismic attributes was incorporated within a probabilistic neural network particularly tailored to honor the main reservoir facies...
Unknown
Abstract: Hydrocarbon Generation and Expulsion Model for Upper Paleozoic Source Rocks in the Hangjinqi Area, Northern Ordos Basin, China;
Huijun Wang, Shuangfang Lu, Guiping Zhao
Search and Discovery.com
..., we used convolutional neural network (CNN) in the field of depth learning combined with well logging data to calculate total organic carbon (TOC...
Unknown
Constructing a Geological Model to Estimate the Capacity of Commercial Scale Injection, Utilization and Storage of CO2 in the Jacksonburg-Stringtown Field, West Virginia, USA; #80518 (2016)
Zhi Zhong, Timothy R. Carr
Search and Discovery.com
... to estimate the storage capacity and optimize simulation strategies to evaluate commercially-viable geological storage and EOR. Artificial neural network...
2016
Fractured Basement Reservoir Characterization for Fracture Distribution, Porosity and Permeability Prediction; #41106 (2012)
Marie Lefranc, Sherif Farag, Laurent Souche, and Agnes Dubois
Search and Discovery.com
... that analysis, the best possible fracture drivers are selected. Neural networks are then used to define the relationships between the ensemble of high-ranked...
2012
Applying Seismic Attribute Analysis and Inversion Techniques to Understand the Trapping Mechanism in the Gajah Abu Abu Field, West Natuna Offshore
R. Wawan Satriawan, Toby Read, Hendra Baskara
Indonesian Petroleum Association
... Stack Seismic Attributes and Neural Networks; a Case History. SEG 70th Annual Meeting, Calgary, Canada. Wawan Satriawan, 2003, Studi identifikasi...
2005
Advanced analysis of helicopter-borne microTEM data for seismic base of sand corrections
Ersan Turkoglu, Daniele Colombo, Ernesto Sandoval-Curiel
International Meeting for Applied Geoscience and Energy (IMAGE)
.... Auken, 2016, Artificial neural networks for removal of couplings in airborne transient electromagnetic data: Geophysical Prospecting, 64, 741–752...
2022
Imaging the reservoir permeability from time-lapse electromagnetic data
Taqi Alyousuf, Yaoguo Li
International Meeting for Applied Geoscience and Energy (IMAGE)
...) explored deep-learning neural networks to implement a reservoir monitoring system coupled with a dynamic fluid flow simulator. In particular, they used...
2022
Table of Contents: 32nd Annual Convention Proceedings, 2008
Indonesian Petroleum Association
... Neural Networks Technique in Facies Classification and Interpretation Jayanti Anggraini, Mega Ardhiani Puspa IPA08-G-126 Fast Track Reservoir...
2008
Extremely weak supervision inversion of multiphysical properties
Shihang Feng, Peng Jin, Xitong Zhang, Yinpeng Chen, David Alumbaugh, Michael Commer, Youzuo Lin
International Meeting for Applied Geoscience and Energy (IMAGE)
... by leveraging deep neural networks to learn a correspondence from geophysical measurements to geophysical properties (Araya-Polo et al., 2018; Wu...
2022
Use of Machine Learning on SCADA Data for Assets Prognostics Health Management
Alexandre Cesa, Elliot Press
Australian Petroleum Production & Exploration Association (APPEA) Journal
... Neighbour (K-NN), Decision Trees, Feed-forward Neural Networks (FNN) and many other methods (Aldrich and Auret 2013; Santos et al. 2016; Lei et al. 2018...
2020
Carbonate reservoir property prediction technique based on petrophysical reservoir types (PRT) identification and seismic inversion
Nie Qihai, Chen Xin, Li Jianlin, Liu Yong, Zhao Min, Qi Qunli, Xiao Dengyi, Chen Shuangting, Yan Xiaohuan, Yu Wenwen, Lv Lu, Peng Bo, Li Qiang, An Fuli, Wang Bo, Gao Xiaoli, Yang Chen
International Meeting for Applied Geoscience and Energy (IMAGE)
... wireline logs using artificial neural networks: A North Sea case study: Geophysical Prospecting, 49, 431–444, doi: https://doi.org...
2022
Unsupervised machine learning for seismic facies classification applied in presalt carbonate reservoirs of the Bzios Field, Brazil
Dbora Ribeiro Barretto, Pedro Henrique Cunha de Macedo, Wagner Moreira Lupinacci, Raisa Carvalho Silva
International Meeting for Applied Geoscience and Energy (IMAGE)
..., Neural networks for pattern recognition: Clarendon Press. Castro, T. M., 2019, Avaliação dos reservatórios carbonáticos do pré-sal no Campo de...
2022