Welcome to the new Datapages Archives
Datapages has redesigned the Archives with new features. You can search from the home page or browse content from over 40 publishers and societies. Non-subscribers may now view abstracts on all items before purchasing full text. Please continue to send us your feedback at emailaddress.
AAPG Members: Your membership includes full access to the online archive of the AAPG Bulletin. Please login at Members Only. Access to full text from other collections requires a subscription or pay-per-view document purchase.
Welcome to the new Datapages Archives
Search Results > New Search > Revise Search
The AAPG/Datapages Combined Publications Database
Showing 624 Results. Searched 200,756 documents.
Application of Artificial Intelligence Tools for Fault Imaging in an Unconventional Reservoir: A Case Study from the Permian Basin
H. Garcia, L. Plant
Unconventional Resources Technology Conference (URTEC)
... areas. In the current study, we used a pre-trained convolutional neural network. This foundation network can be applied to the data without providing any...
2021
Improving Microseismic Denoising Using 4D (Temporal) Tensors and High-Order Singular Value Decomposition
Keyla Gonzalez, Eduardo Gildin, Richard L. Gibson Jr.
Unconventional Resources Technology Conference (URTEC)
... of data is achieved. In this research, we implement a high-order SVD (HOSVD) model reduction method for denoising and compressing microseismic...
2021
Fracture Diagnostics in Naturally Fractured Formations: An Efficient Geomechanical Microseismic Inversion Model
Meng Cao, Mukul M. Sharma
Unconventional Resources Technology Conference (URTEC)
...Fracture Diagnostics in Naturally Fractured Formations: An Efficient Geomechanical Microseismic Inversion Model Meng Cao, Mukul M. Sharma URTeC...
2022
Predicting Hydrocarbon Production Behavior in Heterogeneous Reservoir Utilizing Deep Learning Models
Fatick Nath, Sarker Asish, Happy R. Debi, Mohammed Omar S Chowdhury, Zackary J. Zamora, Sergio Muñoz
Unconventional Resources Technology Conference (URTEC)
... of their cumbersome processing. To overcome this limitation, a supervised deep neural network (DNN) model is established in this paper to forecast hydrocarbon...
2023
A Deep Learning Workflow for Integrated Geological, Petrophysical, and Geomechanical Interpretation
Vanessa Simoes, Atul Katole, Bhuvaneswari Sankaranarayanan, Tao Zhao, Aria Abubakar
Unconventional Resources Technology Conference (URTEC)
... wells, which serve as the basis for training an DL model for marker propagation. This model predicts major markers on the remaining wells, and a marker QC...
2024
Probabilistic Modeling of Well Interference for Shale and Tight Development with Subsurface Uncertainty
Yuguang Chen, Ryan Burke, Tom Tran, Andrew Roark, Scott Hanson
Unconventional Resources Technology Conference (URTEC)
... realizations of model input parameters are considered for both petrophysical and geomechanical properties. Design of Experiments (DoE) are applied at each...
2024
Harnessing AI and Computer Vision for Efficient Geothermal Field Exploration and Prospect Evaluation
Moamen Gasser, Danny Rehg, Marcus Oesterberg, Nathan Meehan
Unconventional Resources Technology Conference (URTEC)
.... The model showed a great alliance with the experts’ prediction of the geothermal potential presence. This AI tool is an immensely powerful tool especially...
2025
An approach for three-dimensional quantitative carbonate reservoir characterization in the Pampo field, Campos Basin, offshore Brazil
Danilo Jotta Ariza Ferreira, and Wagner Moreira Lupinacci
AAPG Bulletin
... can use the convolutional model of the seismic trace-in-time domain,where s(t), r(t), ω(t), and n(t) represent, respectively, the seismic trace...
2018
Abstract: Azimuthal Fourier Coefficient Elastic Inversion; #90174 (2014)
Benjamin Roure and Jon Downton
Search and Discovery.com
... and the real data expressed as follows: Misfit R *W data i , j 2 (1) i, j The modeled data is calculated using a convolutional model where...
2014
AAPG Annual Convention and Exhibition 2020; - Abstracts, #91200 (2022).
Search and Discovery.com
2022
Abstract: Real-time Bit Wear Prediction and Deployment Validation in Challenging Hard and Heterogeneous Sandstones using 3D Detailed and Simplified Physics-Based Progressive Wear Models; #91204 (2023)
Guodong (David) Zhan, William B. Contreras Otalvora, Xu Huang, Reed Spencer, John Bomidi
Search and Discovery.com
... formulas based on decades of drilling mechanics research are implemented. The detailed physics-based model was used in the design workflow to simulate...
2023
The Role of Forward Seismic Modeling: Outcrop Analogs of Deep-Water Architectures; #51679 (2020)
Jamie K. Pringle, David A. Stanbrook
Search and Discovery.com
... Olden gave guidance on GMA™ software. Robin Westerman and Leon Barens related the convolutional model used by GMA to the wider context of wavefield...
2020
Evaluation of Empirical Correlations and Time Series Models for the Prediction and Forecast of Unconventional Wells Production in Wolfcamp A Formation
Aimen Laalam, Houdaifa Khalifa, Habib Ouadi, Mouna Keltoum Benabid, Olusegun Stanley Tomomewo, Mouad Al Krmagi
Unconventional Resources Technology Conference (URTEC)
.... Li et al. (2022) developed a hybrid production prediction model combining convolutional neural networks (CNN) and long short-term memory (LSTM...
2024
Combined P and S Waves Survey for Hydrocarbon Exploration
Basuki Puspoputro
Indonesian Petroleum Association
... velocity analysis and the convolutional model: IHRDC, Boston. Sheriff, R.E., 1984, Encyclopedic dictionary of exploration geophysics, 2nd edition...
1990
Estimation of TOC and Brittleness Volumes and Correlation with Reservoir Production
Sumit Verma, Tao Zhao, Kurt J. Marfurt, Deepak Devegowda, Dario Grana
Unconventional Resources Technology Conference (URTEC)
... criteria for step-wise multilinear regression for including well logs in the regression model (Hampson et al., 2001). Validation correlation...
2016
Estimation of Reservoir Fluid Saturation from 4D Seismic Data: Effects of Noise on Seismic Amplitude and Impedance Attributes
Rafael Souza, David Lumley, Jeffrey Shragge
Petroleum Exploration Society of Australia (PESA)
... and the inherent instability of inverse methods. These errors may compromise the geological accuracy of the reservoir model leading to incorrect reservoir model...
2016
Kerogen-Bitumen-Porosity Nexus: Insights from Multi-Basinal Collocated SEM-Optical Light Petrography
Shaina Kelly, Michelle Johnston, Bernard Lee, Richard San Martin
Unconventional Resources Technology Conference (URTEC)
... SEM stub which is then ready for Broad ION Beam milling (Fischione Model 1060 dual beam system) for a minimum of 3 hours to get past most plucks...
2019
Robust Event Recognition in Real-Time Hydraulic Fracturing Data for Live Reporting and Analysis
Samid Hoda, Jessica Iriarte
Unconventional Resources Technology Conference (URTEC)
..., transparent (white box), and extremely performant model that easily accommodates operating constraints. In turn, this enables real-time reporting...
2020
Production Forecasting in Shale Reservoirs through Conventional DCA and Machine/Deep Learning Methods
Cenk Temizel, Celal Hakan Canbaz, Onder Saracoglu, Dike Putra, Ali Baser, Tomi Erfando, Shanker Krishna, Luigi Saputelli
Unconventional Resources Technology Conference (URTEC)
...-consuming process when one tries to estimate the multi-well pad performance in the field condition. In order to correctly model the flow of fluid...
2020
Increasing The Resolution of Seismic Imaging With Spectral Blueing, Spectral Decomposition RGB And HSV Blending to Delineate The Fluvial Facies on Fluvio Deltaic Environment
Aji Darma Maulana, Nine Safira, Ongki Ari Prayoga, Egie Wijaksono, Alit Ascaria
Indonesian Petroleum Association
... of this method is a facies model with a more reasonable level of confidence and has been filtered using geological and geophysical concepts based...
2022
Well Performance and Completion Efficiency Assessment in the Delaware Basin using the Diffusive Time of Flight
Jaeyoung Park, Yuxing Ben, Vivek Muralidharan
Unconventional Resources Technology Conference (URTEC)
... et al. 2019, Park et al. 2020, Santos et al. 2020, Zalavadia and Gildin 2021), yet the numerical simulation still requires a static geologic model...
2021
Auto-identification and Real-time Warning Method of Multiple Type Events During Multistage Horizontal Well Fracturing
Mingze Zhao, Yue Li, Yuyang Liu, Bin Yuan, Siwei Meng, Wei Zhang, He Liu
Unconventional Resources Technology Conference (URTEC)
... identification and real-time warning method of multiple types of events during multi-stage fracturing. A new intelligent identification model is developed...
2023
Adapting Music Recognition Technology for Tops Picking and Quality Control
Alan Lindsey, Morgan Cox, Aaron Hugen
Unconventional Resources Technology Conference (URTEC)
... stratigraphy due to either faulting or unconformities. This can lead to false positive marker identifications. Convolutional Neural Networks (CNNs) CNNs...
2024
AAPG RM Section Meetings
Search and Discovery.com
N/A
Sedimentology and Dispersal pattern of a Cretaceous Flysch Sequence, Patagonian Andes, Southern Chile
Kevin M. Scott
AAPG Bulletin
... algunos problemas geologicos en parte de Ultima Esperanza y las expectativas petroliferas de la region: Empresa Nac. Petroleo, unpub. rept. Craig, G...
1966