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The AAPG/Datapages Combined Publications Database
Showing 2,462 Results. Searched 201,044 documents.
Seismic Meta-Attributes as a Practical Exploration Tool: Gas Chimney and Fault Volumes, by Fred Aminzadeh and David Connolly, #400101 (2003).
Search and Discovery.com
2003
2018 AAPG International Conference and Exhibition
Search and Discovery.com
N/A
Chapter 2: High-Resolution Multispectral Analysis of Organic-Rich Mudstones
T. Dawn Jobe, Sebastian Csutak, Shannon L. Eichmann, Jordan Kone
AAPG Special Volumes
... processing and neural networks: Methodology proposal and examples: Computers in Geoscience, v. 31, p. 649–659. Marshall, C. P., E. J. Javaux, A.H. Knoll...
2019
Applications of Dipmeter and Borehole Image Data in Static Models
Michael Poppelreiter, Robert A. Crookbain, Ajay K. Sapru, Mark J. F. Lawrence
AAPG Special Volumes
..., automatically generated using calculator functionality, or derived from a neural network that operates on logs, maps, and seismic attributes until a good match...
2010
AAPG International Conference and Exhibition, October 17-20, 1993, The Hague, Netherlands, - Abstracts, #90990 (1993).
Search and Discovery.com
1993
PTTC Network News - Vol. 7, No.3 - 2001
Karl Lang
PTTC
..., but it can be managed. Interpretation requirements are high. Highest data requirements are for virtual intelligence (neural networks, etc.) methods, which...
2001
International Conference and Exhibition, October 15-18, 2000, Bali, Indonesia, - Abstracts, #90913 (2000).
Search and Discovery.com
2000
Excavation of a Mastodon at Vicksburg, Mississippi
S. Cragin Knox, Sue Pitts
New Orleans Geological Society
... Rib Neural Spine Neural Spine Neural Spine Neural Spine Neural Spine Vertebra Vertebra Vertebra Vertebra Vertebra Femur Tibia? Femur ? Rib ? Ankle...
1993
A Workflow for Predicting Porous Sand via Seismic Attribute Analysis of a Missourian Age Mid-Continent Wash
Ryan Fairfield, Matthew Stone, Renjun Wen
Unconventional Resources Technology Conference (URTEC)
...-grid that encompasses the reservoir interval. The methods used include spectral decomposition, well log upscaling, neural network prediction...
2013
The Utica - Point Pleasant Shale
Satinder Chopra, Ritesh Kumar Sharma, Hossein Nemati, James Keay, TGS
GEO ExPro Magazine
... the generation of a reliable low-frequency impedance model for impedance inversion, as well as for carrying out any neural network analysis for computation...
2018
Improving Wolfcamp B3 Drilling and Production by Integrating Core, Mud logs, Electrical Logs, Seismic Inversion, Microseismic and Drilling Data
Hongzhuan Ye, Lowell Waite, Robert Meek
Unconventional Resources Technology Conference (URTEC)
... products, including the mathematical transformations of the data, provided the best attributes to input into a neural network system. The neural network...
2015
Investigation of the Dynamic Capillary Pressure During Displacement Process in Fractured Tight Sandstone Reservoirs
Ying Li, Feihang Liu, Haitao Li, Shengnan Chen, Jie Zeng, Jianfeng Zhang, Xiangqing Meng, Shikai Jiang
Unconventional Resources Technology Conference (URTEC)
...), Copenhagen, Denmark, 2006: 18–22. Das D B, Thirakulchaya T, Deka L, et al. Artificial neural network to determine dynamic effect in capillary pressure...
2019
Stratigraphic Architecture, Facies and Stratigraphic Modeling of the Upper and Lower lagifu Reservoir Intervals, Gobe and Southeast Gobe Fields, Papua New Guinea
D. Larue, M. Daniels
Papua New Guinea (PNG) Petroleum Convention Proceedings
... correlation that has been calibrated to core. Once calibrated, the w ireline data can be used in computer-based programs such as neural networks or multi...
2000
Monitoring tunneling construction using distributed acoustic sensing
Gang Fang, Yun Zhou Tan, Enhedelihai Nilot, Yanlong Niu, Yunyue Elita Li, Arthur Cheng
International Meeting for Applied Geoscience and Energy (IMAGE)
... hazardous zones in front of a tunnel face using tsp-203 and artificial neural networks: Tunnelling and Underground Space Technology, 23, 711–717, doi...
2022
Reservoir Characterisation Study: Inter Well Reservoir Property Prediction and Mapping by Petrophysics Data and Seismic Data Integration
Robi Junipa, Michel Bee
Indonesian Petroleum Association
... prediction methods are regression, geostatistics (cokriging, covariance matrix, sequential gaussian simulation, multiple-point statistic) and neural...
2010
Geostatistics and Stochastic Modeling: Bridging into the 21st Century
T. C. Coburn, J. M. Yarus, R. L. Chambers
AAPG Special Volumes
... collection. Such algorithms are likely to increasingly rely on soft computing techniques (e.g., fuzzy logic and neural networks) and artificial...
2006
Geomechanics of Fracture Density
John Wickham, Xinbao Yu, Richard McMullen
Unconventional Resources Technology Conference (URTEC)
... regression; the second uses Bayesian statistics; and the third uses artificial neural networks or probabilistic logic. Lezin and others (2009) use...
2013
Application of a Probability Model to Detect Unrecognised Igneous Intrusions in Sedimentary Basins
Simon Holford, Mark Bunch, Nick Schofield, Michael Curtis
Australian Petroleum Production & Exploration Association (APPEA) Journal
... applications, the model has proven highly effective in predicting the occurrence of carbonate cementation zones in sandstones in comparison to neural...
2022
Automatic Lithofacies Segmentation Using the Wavelet Transform Modulus Maxima Lines WTMM Combined with the Detrneded Fluctuation Analysis DFA
S. Ouadfeul
Asociación Colombiana de Geólogos y Geofisicos del Petróleo (ACGGP)
... interpretation of well-logs, for that several techniques are proposed we quote for example (Neural networks, Fuzzy logic). These techniques are used either...
2006
Horizontal Well Length Optimization Using Application of Genetic Algorithm Model for X Gas Field
Deci Zulvi Amelia, Tutuka Ariadji, Lala Septem Riza
Indonesian Petroleum Association
... Algorithms, Tabu Search, Simulated Annealing, and Neural Networks, Springer - Verlag, London, 1 – 8, 52 – 69. Rohani, N., 2003, Algoritma Genetika dalam...
2011
Brittleness and Rock Strength of the Bakken Formation, Williston Basin, North Dakota
Jingqi Xu, Steve Sonnenberg
Unconventional Resources Technology Conference (URTEC)
... with higher brittleness is considered to be more likely to develop fracture networks. We investigate the mineralogy-based and elastic property-based...
2016
The Rise of the Machines, Analytics, and the Digital Oilfield: Artificial Intelligence in the Age of Machine Learning and Cognitive Analytics
Kathy Ball, Tristan Arbus, Uchenna Odi, Jessamyn Sneed
Unconventional Resources Technology Conference (URTEC)
... because, while models such as neural networks or decision trees may be able to identify hidden patterns that a human may not be able to decipher...
2017
Inverse Stratigraphic Modeling Using Genetic Algorithms
S. Bornholdt, U. Nordlund, H. Westphal
Special Publications of SEPM
... 1996 Lithofacies prediction from wireline logs with genetic algorithms and neural networks Zeitschrift der Deutschen 465 474 Geologischen...
1999
An Integrated Approach to Optimizing Completions and Protecting Parent Wells in the Montney Formation, N.E.B.C.
John Nieto, Graham Janega, Bogdan Batlai, Hugo Martinez
Unconventional Resources Technology Conference (URTEC)
... attribute linear regression and neural networks) between them. This relationship is then propagated at each trace location throughout the 3D volume...
2018
Reservoir Geomechanic Heterogeneity Index (RGHI): Concept, Methodology, and Application
Jie Zhou, Subhadip Mandal, Feiyan Chen, Martin Quest, David Hume
Unconventional Resources Technology Conference (URTEC)
... of neural networks for the prediction of the unconfined compressive strength (UCS) from Equotip hardness. International Journal of Rock Mechanics...
2018