Click to minimize content

Welcome to the new Datapages Archives

Datapages has redesigned the Archives with new features. You can search from the home page or browse content from over 40 publishers and societies. Non-subscribers may now view abstracts on all items before purchasing full text. Please continue to send us your feedback at emailaddress.

AAPG Members: Your membership includes full access to the online archive of the AAPG Bulletin. Please login at Members Only. Access to full text from other collections requires a subscription or pay-per-view document purchase.

Click to maximize content

Welcome to the new Datapages Archives

Search Results   > New Search > Revise Search

The AAPG/Datapages Combined Publications Database

Showing 736 Results. Searched 200,635 documents.

< Previous   24   25   26   27   28   Next >

Ascending

Internal multiple elimination with an inverse-scattering theory guided deep neural network

Zhiwei Gu, Liurong Tao, Haoran Ren, Ru-Shan Wu, Jianhua Geng

International Meeting for Applied Geoscience and Energy (IMAGE)

...* are the convolution and the correlation integral operator of R  with any wavefields, respectively.  is a small positive value to account for the finite bandwidth...

2022

A practical implementation of data-space Hessian in the time-domain formulation of source extended full-waveform inversion

Gaoshan Guo, Stephane Operto, Ali Gholami, Hossein S. Aghamiry

International Meeting for Applied Geoscience and Energy (IMAGE)

... is used (referred to as CG(i) , where i stands for the number of inner iterations). We first assess the effect of Hs in where ∗t denotes convolution...

2022

Accelerating innovation with software abstractions for scalable computational geophysics

Mathias Louboutin, Philipp Witte, Ali Siahkoohi, Gabrio Rizzuti, Ziyi Yin, Rafael Orozco, Felix J. Herrmann

International Meeting for Applied Geoscience and Energy (IMAGE)

... gradient descent algorithm, in which the conventional LS-RTM gradient g is augmented through convolution layers. The input into the network is the observed...

2022

Fast Gauss-Newton full-wavefield migration

Siamak Abolhassani, Eric Verschuur

International Meeting for Applied Geoscience and Energy (IMAGE)

... convolution filter for each point in the image space to locally match a reference reflectivity model to its corresponding migration image. For a target...

2022

Increasing signal-to-noise ratio of borehole image logs using convolutional neural networks

Mustafa A. Al Ibrahim, Mokhles M. Mezghani

International Meeting for Applied Geoscience and Energy (IMAGE)

...rg/10.1016/j.petrol.2020.107099. Dumoulin, V., and F. Visin, 2018, A guide to convolution arithmetic for deep learning: arXiv preprint, arXiv:1603.072...

2022

Seismic Acquisition and Processing

Bruce S. Hart

Special Publications of SEPM

... seis ic trace consists of the convolution of the earth's i pulse response (i .e., reflection coefficients) with a wavelet, seis ic processors use...

2000

Acoustic waveform inversion with the Lippmann-Schwinger equation constraint

Rahul Sarkar, Biondo Biondi

International Meeting for Applied Geoscience and Energy (IMAGE)

.../10.1088/0266-5611/32/1/015007. Vico, F., L. Greengard, and M. Ferrando, 2016, Fast convolution with free-space Green’s functions: Journal of Computational Physics, 323...

2022

AVO and Inversion Contribute to Makassar Exploration Efforts

William L. Soroka, Herry Andiarbowo, Anung Widodo

Indonesian Petroleum Association

... wavelet + Noise (* implies convolution) Because the seismic and wavelet are known, it should be possible to solve this problem for the unknown geology...

1995

Geomechanical prestack depth migration of the Kraken 3D (Browse Basin, Australia)

Jarrod Dunne, Ferudun Kilic, Matthew Zengerer, Pramod Kumar, Hamish Stein, Shiv Pujan Singh, Stephen Gallagher

Petroleum Exploration Society of Australia (PESA)

... Transformation method, which is faster to run than the Spatial Convolution method but not as accurate unless large amounts of vertical padding are applied, thus...

2018

Crustal thickness and velocity structure of southern Peninsular Malaysia

Abdul Halim Abdul Latiff, Amin Esmail Khalil

Geological Society of Malaysia (GSM)

.... In the iterative deconvolution process, the differences between the resultant convolution of the observed vertical component with a spike function, and the recorded...

2018

A Depositional Model for a Flood-Tidal Delta and Washover Sands in the Late Pleistocene Paleo-Tokyo Bay, Japan

Naomi Murakoshi, Fujio Masuda

CSPG Special Publications

... deposition of the large foreset. Figure 7. Schematic section of washover sand. FTD, flood-tidal delta. The convolution structures in the proximal...

1991

What samples must seismic interpreters label for efficient machine learning?

Ryan Benkert, Mohit Prabhushankar, Ghassan AlRegib

International Meeting for Applied Geoscience and Energy (IMAGE)

.... Murphy, and A. L. Yuille, 2017, DeepLab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected CRFs: IEEE...

2023

Resilience of the US Shale Production to the Collapse of Oil & Gas Prices

Philippe A. Charlez, Pierre Delfiner

Unconventional Resources Technology Conference (URTEC)

... connected during previous months s ≤ t. The right-hand side of Equation 1 is a convolution product of the functions n and f, and a completely general f...

2016

The emergence and impact of scientific machine learning in geophysical exploration

Umair bin Waheed

International Meeting for Applied Geoscience and Energy (IMAGE)

... of such systems. The key to FNOs’ operation lies in transforming the input data into the Fourier space, a frequency domain, where convolution operations can...

2023

Backscatter analysis of vehicle-generated noise using symmetric autoencoders

Sanket Bajad, Pawan Bharadwaj

International Meeting for Applied Geoscience and Energy (IMAGE)

... among the CCNs within Xr ? To understand this, we assume a convolutional model with a point noise source. We write each CCN as a discrete convolution...

2024

How AVO has Been and Continues to be an Essential Tool in De-Risking the World High-Impact exploration Wells

Henk Kombrink, Henry Pettingill, Rocky Roden

GEO ExPro Magazine

..., volcanics, or carbonates (polarity or convolution issue) Diagenetic boundary or unconformity CO₂ or nitrogen Tuning effects Lateral change in lithology...

2025

Elements of High Constructive Deltaic Sedimentation, Lower Frio Formation, Brazoria County, Texas

Noel Tyler, Jong H. Han

GCAGS Transactions

.... Convolution of bedding is defined by mud layers; where mudstones are absent the unit is massive. Highly contorted intrasets within the contorted laminae...

1982

Background noise suppression for DAS-VSP data using attention-based deep image prior

Yang Cui, Umair bin Waheed, Yangkang Chen

International Meeting for Applied Geoscience and Energy (IMAGE)

.... Similarly, Wu et al. (2022) developed a framework for denoising multiscale DAS data, employing convolution operations across various data dimensions...

2024

Reservoir Characterisation Through Integrated AVO, AI and EI Inversion

Andy Furniss

Indonesian Petroleum Association

... of calibrating inversion results to real-world data. Seismic reflection data is an interface property in which the recorded data are a convolution...

2002

4D Seismic Bandwidth and Resolution Analysis for Reservoir Fluid-flow Model Applications

Rafael Souza, David Lumley, Jeffrey Shragge, Alessandra Davolio, Denis Schiozer

Petroleum Exploration Society of Australia (PESA)

... modelling results ( e.g. through finite difference solutions) to those generated by infinite frequency ray-tracing and convolution modelling results...

2019

From Chaos to Caves … An Evolution of Seismic Karst Interpretation at the Vorwata Field

Riangguna Eloni, M.R. Husni Sahidu, Ilham Panggeleng, Christopher S. Birt, Ted Manning

Indonesian Petroleum Association

.... Since only a single convolution is applied, the process is a direct transform of the seismic data. This implies that the result will show what...

2016

Fluid distribution modeling impact on estimating CO2 saturation in Cranfield: A capillary pressure equilibrium approach with invertible neural networks

Sohini Dasgupta, Arnab Dhara, Mrinal K. Sen

International Meeting for Applied Geoscience and Energy (IMAGE)

.... The GLOW block’s core is a reversible unit featuring two affine coupling layers, comprising an act-norm step, an invertible 1x1 convolution layer...

2024

Understanding the Petroleum System of North Serayu Basin: An Integrated Approach from Geology,Geophysic, and Geochemistry

Dimas A. R. Prawiranegara, Fauzan Eka Saputra, Fisco Raseno, Bayu Harry Utomo, Alfin Sani, Agung W. Wibowo

Indonesian Petroleum Association

.... Halang Formation is characterized by graded bedding, mud clast, slump, and convolution associated with crevasse splay facies (Posamantier and Walker...

2016

Deep learning-based 3D microseismic event direct location using simultaneous surface and borehole data: An application to the Utah FORGE site

Yuanyuan Yang, Omar M. Saad, Tariq Alkhalifah

International Meeting for Applied Geoscience and Energy (IMAGE)

... the segment itself, and then the convolution of the resulting data Direction Location Error (m) X 31.6 Y 70.8 Z 4.2 Omni 77.7 CONCLUSIONS We developed...

2024

Integrated Digital Outcrop Model (DOM) and Seismic Forward Modeling: Application to Enhance Subsurface Interpretation in Deltaic System of Kutai Basin, East Kalimantan

Dicky Harishidayat, Leon Taufani, Iqbal Fardiansyah, Ari Wibowo

Indonesian Petroleum Association

... (according to the dimension of outcrop data). Another seismic modeling approach is a simple and fast convolution method. The way it works is trying...

2017

< Previous   24   25   26   27   28   Next >