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The AAPG/Datapages Combined Publications Database
Showing 56,515 Results. Searched 201,044 documents.
Data Integration through a Standard Classification Data Model – Example: Permian Basin Stratigraphy
Mark R. Vining
West Texas Geological Society
...Data Integration through a Standard Classification Data Model – Example: Permian Basin Stratigraphy Mark R. Vining 2001 177 187 A model...
2001
Complementary Results on Experiment-Derived Classification of Submarine Sediment Gravity Flows; #51386 (2017)
Carolina H. Boffo, Rafael Manica, Ana Luiza de Oliveira Borges, Marco A. S. Moraes, Paulo L. B. Paraizo
Search and Discovery.com
... Density [kg.m-3] D10 [μm] D50 [μm] D90 [μm] Dm [μm] Inner visualization of the – (medical ultrasound) Dip and strike section of the deposit Process-Based...
2017
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
... in multiple real-time trial tests. Detailed 3D and Simplified Progressive Wear Model Figure 1 Detailed 3D representation of bit-rock interaction A detailed...
2023
Reservoir models selection based on volumetric and connectivity metrics
Peng Li, Dario Grana, Leonardo Azevedo
International Meeting for Applied Geoscience and Energy (IMAGE)
... coordinates associated with the representation of the model realizations in a low dimensional space obtained by applying dimensionality reduction...
2022
Beneath the surface: 3D geological model of northern Bowen Basin
Mojtaba Rajabi, Renate Sliwa, Joan Esterle
Australian Energy Producers Journal
...Beneath the surface: 3D geological model of northern Bowen Basin Mojtaba Rajabi, Renate Sliwa, Joan Esterle SUPPLEMENT | EXTENDED ABSTRACT https...
2025
Solution for Anomaly Detection in Oil & Gas Well Drilling Sensors Based on Recurrent Neural Networks: A Big Data Approach
María Yamile Orellano, Marilyn Vargas, Julián Benavidez
Unconventional Resources Technology Conference (URTEC)
... the operations. The AI model utilized in this study empowers users to adapt and configure it effectively, ensuring a more accurate representation of specific...
2023
Velocity model building from 3D surface seismic data at the Utah FORGE EGS site
Yun-Ha Jung, Nori Nakata, Sea-Eun Park, Ju-Won Oh
International Meeting for Applied Geoscience and Energy (IMAGE)
...Velocity model building from 3D surface seismic data at the Utah FORGE EGS site Yun-Ha Jung, Nori Nakata, Sea-Eun Park, Ju-Won Oh Velocity model...
2024
A Two-Phase Well Test Analysis for Water Injection Wells
Takao Namba
Indonesian Petroleum Association
.... In this study a power-law model representation is used for the relative permeability curves as follows: where nw and no represent the shapes...
1989
Simultaneous inversion of velocity and angle-dependent reflectivity
Nizar Chemingui, Yang Yang, Jaime Ramos-Martinez, Guanghui Huang, Dan Whitmore, Sean Crawley, Elena Klochikhina, Sriram Arasanipalai
International Meeting for Applied Geoscience and Energy (IMAGE)
... significantly enhances our understanding of subsurface and reservoir properties. The outcomes of our approach encompass the velocity model, reflectivity...
2023
Seismic imaging profile noise suppression based on self supervised deep learning: a case study in the Yellow Sea
Qiang Xu
International Meeting for Applied Geoscience and Energy (IMAGE)
... network to suppress spatial aliasing and random noise in seismic imaging stacked profiles. This article designs an autoencoder model, mainly composed...
2024
Probabilistic Reservoir Characterization via Seismic Elastic Inversion in East Andaman Basin; #40880 (2012)
Mahendra Kishore, Pritam Jha, Dino Ros, and Alfonso Iunio Marini
Search and Discovery.com
... volume of East Andaman Basin Lithological calibration of Inversion output volumes Probabilistic Lithological Model Depth Conversion of Litho...
2012
Geostatistical Modelling of Hydrothermal Dolomite by PluriGaussian Simulation from Digital Outcrop Dataset (Latemar, N-Italy); #41844 (2016)
Nadya Kulyukina, Olivier Dubrule, Carl Jacquemyn
Search and Discovery.com
... instances to model carbonate reservoirs and is an improvement of previous effort to model the Latemar dolomites by Sequential Indicator Simulation...
2016
Predicting Structural Permeability in the Deep Coal Play, Tirrawarra-Gooranie fields, Cooper Basin
C.J. Bowker, B.A. Camac, S.A. Fraser
Petroleum Exploration Society of Australia (PESA)
... balance between runtime and model resolution could be achieved. Figure 1(b) shows the UDEC representation of the structural framework, including...
2018
Predicting horizons for salt body models using machine learning from neighboring seismic surveys: A case study from the northern Gulf of Mexico
Andrew Reisdorf, Dan Ferdinand Fernandez, Hugo Enrique Munoz Cuenca, Ryan King, David Manzano, Gavin Menzel-Jones
International Meeting for Applied Geoscience and Energy (IMAGE)
... and manual effort are required to provide horizons that are input into the earth model building process. The quality of these horizons determines...
2022
Earth Model Building in Real-Time with an Automated Machine Learning Framework - A Midland Basin Example
Altay Sansal, Muhlis Unaldi, Edward Tian, Gareth Taylor
Unconventional Resources Technology Conference (URTEC)
...Earth Model Building in Real-Time with an Automated Machine Learning Framework - A Midland Basin Example Altay Sansal, Muhlis Unaldi, Edward Tian...
2021
Quantifying Reservoir Performance for Deepwater Slope Channel Deposits
Thomas Smith
GEO ExPro Magazine
... Reservoir Performance “Within the oil industry, reservoir model cell sizes and resolution of available data do not typically allow for the direct...
2016
Introduction to Deep Learning: Part I
Hongbo Zhou, Lasse Amundsen, Martin Landrø
GEO ExPro Magazine
... – grows more useful as the amount of data in the world grows. This image is NVIDIA’s brand representation of their AI podcast, where experts discuss...
2017
Extended Abstract: How Multibeam Data Complement and Improve Structural 2D Seismic Interpretation: Examples from the Mexican Gulf of Mexico
Roel Dirkx, Kevin Goldsmith, Jennifer Halliday, Cian O’Reilly
GCAGS Transactions
... knolls, minibasins, fault escarpments, gas and fluid escape features, and submarine channeling and slumping. Digital elevation model (DEM) attributes (Fig...
2017
The Evolution of FWI and its Perceived Benefits
Tony Martin, Andrew Long
Australian Petroleum Production & Exploration Association (APPEA) Journal
... between the modelled (dm) and recorded data (do) (Martin et al. 2017). The model update is then computed as a scaled representation of its gradient. Despite...
2019
Stochastic-based Coupling of Static and Dynamic Models: An Example From the Meremac Formation in the STACK Play
Mouin Almasoodi, Soodabeh Esmaili, Trevor Ingle
Unconventional Resources Technology Conference (URTEC)
... model (static model). To incorporate the geological and petrophysical uncertainties, multiple realizations were generated using the base earth model...
2017
The Role of Technology and Decision Analysis in Reservoir Management
Ganesh C. Thakur
Indonesian Petroleum Association
... results with other reservoir descriptions and static data and changing the model, if necessary. Thus, it is now possible for geoscientists and engineers...
1996
Abstract: Application of Artificial Intelligence for Run-time Well Placement Optimization in Reservoir Simulation; #91204 (2023)
Babatope Kayode, Karl Stephen, Saeed Muhammad
Search and Discovery.com
... vertical wells that penetrate from the top to the bottom of a reservoir model and coincide with the topmost perforation of each simulated historic well...
2023
Fault facies modeling: Technique and approach for 3-D conditioning and modeling of faulted grids
N. Fredman, J. Tveranger, N. Cardozo, A. Braathen, H. Soleng, P. Roe, A. Skorstad, A. R. Syversveen
AAPG Bulletin
... fault model. FF modeling is performed by first generating a 3-D grid of the fault envelope, which includes the conventional fault plane. Second...
2008
Automated Field Development Planning for Unconventional Shale Gas or Oil
Peter Tilke, Wentao Zhou, Yinli Wang, Shalini Krishnamurthy, Mahesh Bhanushali, Boris Samson, Greg Grove, Jeff Spath, Michael Thambynayagam
Unconventional Resources Technology Conference (URTEC)
... be evaluated. For every trial, the reservoir simulation forecast must be evaluated for each realization of the uncertain reservoir model. Therefore...
2015
Utilizing Machine Learning for Enhanced Energy Efficiency and Emission Reduction in Air-Cooled Exchangers through Heat Duty Monitoring and Fin Fan Motor Control Optimization in the North Belut Facility
Yasin Cahyono, Fadhila Tanjungsari
Indonesian Petroleum Association
... analytics. In terms of security, the data used for machine learning model training is done offline, where the data is downloaded into an Excel file...
2024