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The AAPG/Datapages Combined Publications Database
Showing 15,635 Results. Searched 200,693 documents.
Abstract: A Comprehensive Facies Prediction Workflow for a Heterogeneous Carbonate Reservoir, Saudi Arabia; #90319 (2018)
Cengiz T. Vur, Waseem A. Bogary, Fahad T. Wahbo, Raed K. Dukhayyil
Search and Discovery.com
...Abstract: A Comprehensive Facies Prediction Workflow for a Heterogeneous Carbonate Reservoir, Saudi Arabia; #90319 (2018) Cengiz T. Vur, Waseem...
2018
S-wave velocity prediction using a deep learning scheme and attention mechanism
Gang Feng, Wen-Qin Liu, Zhe Yang, Wei Yang, Jian-Hua Wang
International Meeting for Applied Geoscience and Energy (IMAGE)
...S-wave velocity prediction using a deep learning scheme and attention mechanism Gang Feng, Wen-Qin Liu, Zhe Yang, Wei Yang, Jian-Hua Wang S-wave...
2024
Comparative Algorithm Machine Learning Approaches for Predictive Analysis of Well Log Data: A Case Study in the Central Sumatra Basin
Nungga Saputra, Hafid Rizki Nur Rohman, Puspa Alifya, Patria Ufaira Aprina
Indonesian Petroleum Association
.... The data comprises of caliper (CAL), gamma ray (GR), self-potential (SP), and density (RHOB) logs. Data Prediction Predictive Estimation is a technique used...
2024
Evaluating DSU Orientation in the Bakken Basin: Integrating Machine Learning and Physics-Based Models for Optimal Development
Miguel Jakymec, Amir Kianinejad, Michael McKimmy, Carlos Miranda, Sebastien Matringe
Unconventional Resources Technology Conference (URTEC)
... coefficient close to 0.7. However, the wide spread of the predicted data was deemed insufficiently accurate for forward prediction. The hypothesis...
2025
Detecting Permeability Gradients in Sandstone Complexes--Quantifying the Effect of Diagenesis on Fabric
Robert Ehrlich, Mark C. Bowers, Virginia L. Riggert, Christopher M. Prince
AAPG Special Volumes
.... Riggert, Christopher M. Prince 1997 103 114 AAPG Memoir 69: AAPG Memoir 69: Reservoir Quality Prediction in Sandstones and Carbonates, 1997 Matrix...
1997
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
...Abstract: Real-time Bit Wear Prediction and Deployment Validation in Challenging Hard and Heterogeneous Sandstones using 3D Detailed and Simplified...
2023
A Statistical Approach to Assessing Depth Conversion Uncertainty on a Regional Dataset: Cooper-Eromanga Basin, Australia
David Kulikowski, Catherine Hochwald, Dennis Cooke, Khalid Amrouch
Petroleum Exploration Society of Australia (PESA)
... uncertainty the most were; location (3d survey), formation, distance to the nearest well, and the spatial location of the predicted well relative...
2016
Diffusion regularization for multi-parameter near-surface elastic full-waveform inversion
Mohammad Hasyim Taufik, Fu Wang, Tariq Alkhalifah
International Meeting for Applied Geoscience and Energy (IMAGE)
... of the diffusion training is to minimize the distributional distance between the noises. To do this, a re-weighted variant of the estimated lower bound (ELBO...
2024
A Fast Horizontal-Well Coning Evaluation Method
P. Permadi
Southeast Asia Petroleum Exploration Society (SEAPEX)
... prediction. This effort is made by considering that the available published correlations are based on a uniform flux model, which may not be the case...
1996
Improving Depth Prediction Accuracy of Quantified Drilling Hazards
W. Scott Leaney, William H. Borland
Geological Society of Malaysia (GSM)
...Improving Depth Prediction Accuracy of Quantified Drilling Hazards W. Scott Leaney, William H. Borland Ceo!. Soc. MalaYJia, Bulletill 39, July 1996...
1996
The Effects of Topography on Sedimentation from Particle-Laden Turbulent Density Currents
Marcus I. Bursik , Andrew W. Woods
Journal of Sedimentary Research (SEPM)
... created deposits that thinned exponentially with distance. As long as a current was not blocked to produce a bore, topographic features consisting...
2000
Quantification of Connectivity in Images
Yaokun Wu, Siddharth Misra
Unconventional Resources Technology Conference (URTEC)
... as a function of separation distance between two randomly selected pixels belonging to a specific constituent type. On the other hand, a fast-marching...
2020
Formalizing Geological Knowledge--With an Example of Modeling Stratigraphy Using Fuzzy Logic
Ulf Nordlund
Journal of Sedimentary Research (SEPM)
... to the example application. The potential of fuzzy logic in geological classification and prediction are briefly discussed, as are aspects...
1996
Comprehensive Probabilistic Pressure Prediction for Water Management in the Permian Basin
Mike McGarvey, Dylan Vennes, Chung-Kan Huang, Nuny Rincones, Hui Zhou, Qin Lu, Michael Burkard, Ana-Paula Maynard, Luis Baez
Unconventional Resources Technology Conference (URTEC)
...Comprehensive Probabilistic Pressure Prediction for Water Management in the Permian Basin Mike McGarvey, Dylan Vennes, Chung-Kan Huang, Nuny Rincones...
2025
A Machine Learning Approach to Basin Scale Inventory Forecasting and Development Planning that Accounts for Complex Well Interactions
Charles Connell, Kyle LaMotta, Clark Munger, Joe Wicker
Unconventional Resources Technology Conference (URTEC)
... are calculated. Horizontal offset distance is calculated along the orientation of Shmax, rather than simply orthogonal to the wellbore. This provides...
2024
Research on borehole time-domain electromagnetic ultra-far detection method of electrical source
Zhanshan Xiao, Haitao Hu, Xiaoyu Zhang, Yonghao Zhang, Jianbin Zhao, Chaoqiang Fang, Kun Shao, Chunming Yao, Junjie Yan
International Meeting for Applied Geoscience and Energy (IMAGE)
..., the distribution of residual oil between wells and the prediction of water-driven leading edge, and the fine delineation of geological structure in far...
2023
An Innovative and Simple Approach to Spatially Evaluate a Proxy for Stress Shadow Effect of Unconventional Reservoir Completion Activity
Shane J. Prochnow, Alena Grechishnikova, Paymon Hossaini, Mohamed Ibrahim, Sandra Saldana
Unconventional Resources Technology Conference (URTEC)
... machines component. Popa and Connel (2019) investigated optimization of horizontal well placement through stratigraphic performance prediction using...
2022
Geostatistical Methods
Mike Shepherd
AAPG Special Volumes
... is a thought experiment: You find a large nugget of gold in a field. Are you more likely to find another piece of gold at a distance of 10 m (33 ft) or 10...
2009
A Case History: High Productivity Seismic Data Acquisition Using Bps ISS® (Independent Simultaneous Source) with Triple Source Vessels In 3D Tangguh Seismic Node Survey
Hery Prastowo, Johnathan Stone, Deny Suryanto, Danang Priyambodo
Indonesian Petroleum Association
... to maintain as large distance separation as possible. Guns are fired based on distance, not time, but are perturbed in time in the pseudo-blend to increase...
2019
The Role of Spaced Cleavage on the Porosity and Permeability within a Reservoir Unit
Paul A. Thorn, David R. Lageson
Montana Geological Society
... the fluid flow path has to be in order to travel the same horizontal distance (Fig. 4). In addition, if there is some fluid flow across...
1996
Stochastic inversion method based on a priori information of compression-sensing divided-frequency waveform indication
Ying Lin, Siyuan Chen, Guangzhi Zhang, Baoli Wang, Minmin Huang
International Meeting for Applied Geoscience and Energy (IMAGE)
... to achieve reservoir prediction. After this, some scholars began to extend the classification of seismic waveforms to the field of inversion based...
2023
Role of Vortices in Surf Zone Prediction: Sedimentation and Wave Forces
Robert L. Miller
Special Publications of SEPM
...Role of Vortices in Surf Zone Prediction: Sedimentation and Wave Forces Robert L. Miller Copyright © 2012, The Society of Economic Paleontologists...
1987
Probabilistic Landslide Susceptibility Analysis and Verification Using GIS and Remote Sensing Data at Penang, Malaysia
Jasmi Ab Talib
Geological Society of Malaysia (GSM)
... and distance from drainage were retrieved from topographic database whereas, geology and distance from lineament were retrieved from the geologic...
2003
Improving operational confidence and decision-making in the absence of key reservoir data through utilisation of a machine learning-based coal identification model in coal seam gas wells
Gonzalo Vazquez, Mitch Allder, Joel Zimmermann, Jack Mclean-Hodgson, Kim Owen
Australian Energy Producers Journal
... workflows in wells where gas readings are unreliable or unavailable. Keywords: AI, artificial intelligence, coal prediction, coal seam gas, CSG, drilling...
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