AAPG ACE 2018

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A step towards the automatization of predictive geological mapping

Rafael Pires de Lima, Marcos Ferreira, Iago Costa

International Meeting for Applied Geoscience and Energy (IMAGE)

... Process Data Clip to extent Feature files  Remote sensing Raster Clipped Clipped Preprocess Data selection Fit model Comparison Predict...

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)

...-based methods. The filteringbased methods treat deblending as a noise filtering problem that operates on a particular domain, i.e., common receiver...

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...

AI: a Game Changer in Seismic Acquisition and Processing

Matt Deighton, Sverre Olsen

GEO ExPro Magazine

... the trained Convolutional Neural Network (CNN) to remove of fraud detection is that the coherent image domain noise. Noise indicated by yellow arrows...

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...

Generating Missing Unconventional Oilfield Data using a Generative Adversarial Imputation Network (GAIN)

Justin Andrews, Sheldon Gorell

Unconventional Resources Technology Conference (URTEC)

... convolutional or RELU networks, in this effort it was necessary to train the GAIN model using a hyperbolic tangent. When initially trained with RELU, the test...

Fault surface extraction based on computational topology

Cheng Zhou, Cun Yang, Ruoshui Zhou, Xingmiao Yao, Guangmin Hu

International Meeting for Applied Geoscience and Energy (IMAGE)

..., time range: 1.536s to 1.844s) to demonstrate the effectiveness of our method. We adopt a convolutional neural network method described in Zhou et al...

Improved Nanoscale Image-based Reservoir Characterization using Supervised Machine Learning

Shannon L. Eichmann, Poorna Srinivasan, Kevin Kenga, Mohammed Khan, Fabian Duque, Felix Oyarzabal, James Howard, Shawn Zhang

Unconventional Resources Technology Conference (URTEC)

..., the model is applied to all of the tiled images in the LgFOV image. In the IB method (Fig.1B), gray-scale values from all pixels in the image are used...

Innovative disorder seismic attribute for reservoir characterization

Qiang Fu, Saleh Al-Dossary

International Meeting for Applied Geoscience and Energy (IMAGE)

... seismic attribute is a convolutional filtering based algorithm designed using an optimization approach. By design, the attribute is insensitive to faults...

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

Kevin M. Scott

AAPG Bulletin

... unit. Frequency of occurrence of each type in three detailed sections is shown in Table I. The sections represent positions on a west-to-east...

Optimization of Relative Geological Time Derived From Flow Field A Label Free Approach

Zhun Li

International Meeting for Applied Geoscience and Energy (IMAGE)

..., Using relative geologic time to constrain convolutional neural network-based seismic interpretation and property estimation: Geophysics, 87, IM25–IM35...

Remote Well Site Biostratigraphy and Advances in Automated Fossil Analysis; #41930 (2016)

Gunilla Gard, Iain Prince, Jason A. Crux, J. M. Shin, Bernard Lee

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... Convolutional Neural Network (CNN) is applied to training fossil recognition. Accuracy 4. In each iteration, the training software checks the training quality...

Oriented ellipsoidal DBSCAN for clustering faults from deep learning attributes

Samuel Chambers, Jesse Lomask

International Meeting for Applied Geoscience and Energy (IMAGE)

..., and A. Z. Yusifov, 2019, FaultNet3D: Predicting fault probabilities, strikes, and dips with a single convolutional neural network: IEEE Transactions...

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

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Automatic detection of DAS-recorded microseismic fracture reflections

Youfang Liu, Ivan Lim, Chen Ning, Kurt Nihei

International Meeting for Applied Geoscience and Energy (IMAGE)

...- and S-wave direct arrivals are identified, we transform the data from the T-X domain to the F-K domain. Reflections exhibit different velocity...

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...

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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...

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...

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...