2019 AAPG Annual Convention and Exhibition

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Using Machine Learning Methods to Identify Coals from Drilling and Logging-While-Drilling LWD Data

Ruizhi Zhong, Raymond L. Johnson Jr., Zhongwei Chen

Unconventional Resources Technology Conference (URTEC)

... (Schmidhuber 2015). Supervised learning is learning a predictive model that maps certain inputs to a desired output. To build the supervised learning...

Tiltmeter data inversion for reservoir integrity monitoring using numerical modelling and particle swarm optimisation

Reza Abdollahi, Abbas Movassagh, Dane Kasperczyk, Manouchehr Haghighi

Australian Energy Producers Journal

... on Surface Displacement Using Image-To-Image Convolutional Neural Network Model. Frontiers in Earth Science 9, 712681. doi:10.3389/feart.2021.712681 Hu C...

Reservoir pressure monitoring via surface deformation inversion integrating numerical modelling with evolutionary optimisation

Reza Abdollahi, Abbas Movassagh, Dane Kasperczyk, Manouchehr Haghighi

Australian Energy Producers Journal

... Pressure Based on Surface Displacement Using Image-To-Image Convolutional Neural Network Model. Frontiers in Earth Science 9, 712681. doi...

Geostatistical Integration of Crosswell Data for Carbonate Reservoir Modeling, Mcelroy Field, Texas

William M. Bashore, Robert T. Langan, Karla E. Tucker, Paul J. Griffith

Special Publications of SEPM

... that the convolutional model is valid later on in this study. Although the seismic processing involved in the imaging has not altered the apparent amplitude...

Late Devonian Glacially-Influenced Marine Sedimentation in Western Gondwana: The Cumana Formation, Altiplano, Bolivia

Enrique Diaz Martinez, Peter E. Isaacson

CSPG Special Publications

... 1985. Pebble fabric in an ice-rafted diamicton. Journal of Geology, v. 93, p. 577-592. Dowdeswell, J.A. 1988. A model for iceberg sedimentation...

Pushing the envelope of seismic stratigraphic interpretation: a case-study from the Mannville Group using small 3-D surveys

M. Smaili, B.S. Hart

CSPG Bulletin

..., we used model-based inversion (e.g. Veeken and Da Silva, 2004) to convert the 3-D seismic volumes to acoustic impedance2. This approach integrates...

Sedimentology Of Prealpine Flysch Sequences, Switzerland

John F. Hubert

Journal of Sedimentary Research (SEPM)

.... Some of the flysch basins can be differentiated by the proportions of various rock fragments. The model for internal divisions in graded sandstones...

Multi-Level of Fracture Network Imaging: A HFTS Use Case and Knowledge Transferring

Guoxiang Liu, Abhash Kumar, Song Zhao, Chung Yan Shih, Veronika Vasylkivska, Paul Holcomb, Richard Hammack, Jeffery Ilconich, Grant Bromhal

Unconventional Resources Technology Conference (URTEC)

... making in reservoir management (Left, C). This machine learning model optimizes relatively rapidly (Right, A), matches well with observed data (Right...

The Perfect Frac Stage, Whats the Value?

Craig Cipolla, Ankush Singh, Mark McClure, Michael McKimmy, John Lassek

Unconventional Resources Technology Conference (URTEC)

... of the perfect frac stage, one using a fully coupled hydraulic fracture-reservoir simulation model and a second study using a simple fracture-reservoir...

Hierarchical machine learning workflow for conditional and multiscale deep-water reservoir modeling

Wen Pan, Honggeun Jo, Javier E. Santos, Carlos Torres-Verdín, and Michael J. Pyrcz

AAPG Bulletin

... a diverse ensemble of conditional, multiscale, architectural and petrophysical, property model realizations reproducing the patterns. We demonstrate...

AAPG International Conference and Exhibition; - Abstracts, #91209 (2025).

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Chapter Nine: Inversion and Interpretation of Impedance Data

Rebecca B. Latimer

AAPG Special Volumes

... boundaries. The link to the seismic is through the convolutional model, which can incorporate any wavelet. Nonuniqueness is countered by restricting...

Seismic-based paleoenvironmental analysis of the Paleocene carbonate shelf in Ajdabiya Trough, north-central of Libya

Abdeladim M. Asheibi

Bulletin of Canadian Energy Geoscience (CEGA)

..., constrained sparse spike inversion (Debeye and Riel, 1990). All these methods resolve the components of the convolutional model in each seismic trace...

Seismic Characterization of Large-scale Sandstone Intrusions

Mads Huuse, Joe Cartwright, Andrew Hurst, Noralf Steinsland

AAPG Special Volumes

... Society of America Bulletin, v. 14, p. 227268.Newton, S. K., and K. P. Flanagan, 1993, The Alba field: Evolution and depositional model, in J. R. Parker...

Halokinetic rotating faults, salt intrusions, and seismic pitfalls in the petroleum exploration of divergent margins

Carlos L. Varela, Webster U. Mohriak

AAPG Bulletin

... and development of hydrocarbon reservoirs: A model from the Adelaide geosyncline, South Australia, in P. J. Post, D. L. Olson, K. T. Lyons, S. L. Palmes, P. F...

Assessing and processing three-dimensional photogrammetry, sedimentology, and geophysical data to build high-fidelity reservoir models based on carbonate outcrop analogues

Ahmad Ramdani, Pankaj Khanna, Gaurav Siddharth Gairola, Sherif Hanafy, and Volker Vahrenkamp

AAPG Bulletin

... tomogram inverted from the synthetic ray path in (C). (F) The 2-D zero-offset convolutional reflection model calculated using a 120-Hz Ricker wavelet...

2023 Middle East Oil, Gas and Geosciences Show ; - Abstracts, #91204 (2023).

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Viable Solutions to Overcome Weaknesses of Deep Learning Applications in Production Forecasting: A Comprehensive Review

Y. Kocoglu, S. Gorell

Unconventional Resources Technology Conference (URTEC)

... process the same time series data in multiple different ways and can be combined with other workflows or networks such as Convolutional Neural Network...

Dynamics of Subaqueous Gravity Depositional Processes

R. H. Dott, Jr.

AAPG Bulletin

... layers interstratified with normal undisturbed sediments, many of which show graded bedding (e.g., Figs. 11, 12). Unusually favorable exposu es may...

AAPG ACE 2018

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