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...

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...

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

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Effectiveness of dip-in DAS observations for low-frequency strain and microseismic analysis: The CanDiD experiment

David W. Eaton, Yuanyuan Ma, Chaoyi Wang, Kelly MacDougall

International Meeting for Applied Geoscience and Energy (IMAGE)

...: Arrival-time picking method, based on classification using machine learning. learning approach. For event detection, we developed a convolutional neural...

GeoStreamer X Delivers Near-Field Multi-Azimuth Dataset for Accurate Lead Characterisation, South Viking Graben, Norway

Cyrille Reiser, Eric Mueller, PGS

GEO ExPro Magazine

... summarised below: • Comprehensive demultiple sequence addressing the short and long period multiples integrating 3D convolutional and wave equation...

Automatic detection of DAS-recorded microseismic fracture reflections

Youfang Liu, Ivan Lim, Chen Ning, Kurt Nihei

International Meeting for Applied Geoscience and Energy (IMAGE)

... The workflow can be further automated through deep learning methods. For instance, we can utilize the deep convolutional neural networks to perform the point...

Horizon detection with CNN-based multiscale volumetric flattening

Jesse Lomask

International Meeting for Applied Geoscience and Energy (IMAGE)

... combines the power of Convolutional Neural Network (CNNs) and traditional geophysical inversion methods, flattening a seismic volume into a pseudo...

Large Mudstone-Nucleus Sandstone Spheroids in Submarine Channel Deposits: NOTES

Daniel J. Stanley

Journal of Sedimentary Research (SEPM)

...-balls (Dzulynski, et al., 1957) and convolutional balls (Dott and Howard, 1962) may be cited as examples. The above-mentioned ball structures, however...

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...

AVA on communication cables: Principles and Examples from the North Sea

Ran Bachrach, Ali Sayed, Andrea Murineddu, Pilar Di Martino

International Meeting for Applied Geoscience and Energy (IMAGE)

...tz equation and convolutional modeling. The nearest well is located 20Km from the cable. The well log data (Figure 2a) were used to compute the synthet...

Abstract: Automatic Fault Tracking from 3D Seismic Data Using the 2D Continuous Shearlet Transform with an Example from the Algerian Sahara; #91210 (2025)

Sid-Ali Ouadfeul

Search and Discovery.com

..., integrating CST with machine learning algorithms, such as convolutional neural networks (CNNs), could automate fault classification and provide deeper...

AAPG ACE 2018

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NATS on WATS seismic imaging, rock property modeling and interpretation using machine-learning techniques to inform reservoir quality and deliverability in the Gulf of Mexico

Peter Lanzarone, Shenghui Li, Kang Fu, Kenny Gullette, Jeff Thompson, Gabriel Ritter

International Meeting for Applied Geoscience and Energy (IMAGE)

... as training labels input into a convolutional neural network (CNN) (e.g., Chenin, et al., 2021), where seven in-lines and twelve crosslines were labelled...

Deep adversarial multiview clustering network for unsupervised seismic facies analysis

Hanpeng Cai, Xiuyi Zou, Yuting Zhao, Sheng Zhang, Tengyu Wang

International Meeting for Applied Geoscience and Energy (IMAGE)

.... Huang, and Y. Wang, 2021, The use of 3D convolutional autoencoder in fault and fracture network characterization: Geofluids, 2021, doi: https://doi.org...

Operator chains and seismic data decomposition

Sergey Fomel

International Meeting for Applied Geoscience and Energy (IMAGE)

... using a chain of elementary operations, such as convolutions (as in convolutional neural networks or CNNs) and activation functions, such as the recti...

Hydraulic Fracture Monitoring Using Distributed Acoustic Sensing: A Case Study Using Dip-in Fiber

Chaoyi Wang, Yuanyuan Ma, David Eaton, Kelly MacDougall, Carolyn Furlong

Unconventional Resources Technology Conference (URTEC)

... is used for event detection, based on 2D binary image classification and a convolutional neural network (CNN) using Keras (Chollet et al., 2015...

Sedimentary History of Upper Ordovician Geosynclinal Rocks, Girvan, Scotland

John f. Hubert

Journal of Sedimentary Research (SEPM)

... "convolutional balls"--(D) upper zone of horizontal lamination--(E) pelite (figs. 9, 10, 11). In order to avoid the genetic assumption of gravity-controlled...

Interpolated fast and computational-efficient multidimensional singular spectrum analysis (I-FMSSA) for compressive simultaneous-source data processing

Rongzhi Lin, Yi Guo, Fernanda Carozzi, Mauricio D. Sacchi

International Meeting for Applied Geoscience and Energy (IMAGE)

... further speed up the anti-diagonal averaging step of the MSSA filter via a convolutional operator. The proposed deblending algorithm is also capable...

Convolute Lamination, its Origin, Preservation, and Directional Significance

Stanislaw Dzulynski, Alec J. Smith

Journal of Sedimentary Research (SEPM)

... asymmetry can give rise to "convolutional balls" in sections at right angles to the direction of current flow (ten Haaf, 1956). End_Page 616...

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Sedimentology and Dispersal pattern of a Cretaceous Flysch Sequence, Patagonian Andes, Southern Chile

Kevin M. Scott

AAPG Bulletin

... to axial trends of convolutional folds in El Chingue section. B. Groove casts of El Chingue section. C. Current-ripple lamination dip directions in El...

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Dynamics of Subaqueous Gravity Depositional Processes

R. H. Dott, Jr.

AAPG Bulletin

.... Cline (1960, p. 76) records even larger, remarkable examples. Roll-up structures (including convolutional balls, slump balls, etc.) undoubtedly result...