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...

A practical approach to automate end-to-end multi-stage iterative source separation with prior framework using machine learning

Rajiv Kumar, Yousif Izzeldin Kamil Amin, Riccardo Giro, Sunil Manikani, Nam Pham, Massimiliano Vassallo, Phillip Bilsby, Tao Zhao

International Meeting for Applied Geoscience and Energy (IMAGE)

...ization of MS-ISSP, we design a deep convolutional neural network, which has multiple heads (hence the name Kerberos ISSP net) to perform multipl...

Jointly data and model driven pre-stack inversion of elastic and anisotropy parameters in HTI media

Xin Zhang, Jianhua Geng

International Meeting for Applied Geoscience and Energy (IMAGE)

...Jointly data and model driven pre-stack inversion of elastic and anisotropy parameters in HTI media Xin Zhang, Jianhua Geng Jointly data and model...

Application of SVM machine learning high-resolution fusion inversion in stratigraphic correlation

Lyu Huaxing, Zhang Weiwei, Chen Zhaoming, Zhang Zhenbo, Liu Junyi, Xu Hao

International Meeting for Applied Geoscience and Energy (IMAGE)

... method is needed. However, the accuracy of most model-based inversion methods depends on the initial model. The development of seismic highresolution...

Improving subsalt imaging using mode-converted waves and volumetric coherent noise attenuation in southern Gulf of Mexico

Riaz Alai, Nik Nur Halim C. Soh, M Shah B. Sulaiman, M. Iqbal Supardy, Kien Kok Lee, Sandeep Kumar, Syazwani Bt Suhairi, Christian Brinzer, Frederico Xavier de Melo, Hongyan Li, Iestyn Williams, Hugo Enrique Munoz Cuenca, Nolan Brand, Kate Glaccum, George Zhao, Saeeda Hydal, Khaled Abdelaziz, Emmi Sanchez Vargas

International Meeting for Applied Geoscience and Energy (IMAGE)

... originating from the base of salt bodies. All models are derived from convolutional-based (surface multiples), dip guided selective stacking...

Modeling Distributed Fiber Optic Sensor Signals Using Computational Rock Mechanics

Christopher S. Sherman, Robert J. Mellors, Joseph P. Morris, Frederick J. Ryerson

Unconventional Resources Technology Conference (URTEC)

... with the 3D thermo-hydro-mechanical (THM) code GEOS. GEOS is a flexible and well-validated code designed to model subsurface fractures. It has been used...

Interbed Multiple Suppression in Carbonate Sequences

Gabriel Gil

Unconventional Resources Technology Conference (URTEC)

... transform. The presented workflow shows a model-based approach to predict and suppress the presence of interbed multiples from migrated pre-stack data...

Augmented Intelligence for Geoscience Data in Mature Basins

Jess B. Kozman and Lorena Pelgrin

GCAGS Transactions

... data, such as that encountered in mature basins with decades of archived well reports. We have deployed a pre-trained convolutional neural network...

Abstract: Color Correction for Gabor Deconvolution and Nonstationary Phase Rotation; #90171 (2013)

Peng Cheng and Gary F. Margrave

Search and Discovery.com

... deconvolution is based on a nonstationary convolution model of the seismic trace. Margrave (1998) presented a nonstationary convolutional model, which...

Abstract: Color Correction for Gabor Deconvolution and Nonstationary Phase Rotation; #90171 (2013)

Peng Cheng and Gary F. Margrave

Search and Discovery.com

... deconvolution is based on a nonstationary convolution model of the seismic trace. Margrave (1998) presented a nonstationary convolutional model, which...

Abstract: Correlation of P-P and P-S Data in Yinggehai Basin, South China Sea; #90171 (2013)

Jinfeng Ma, Le Gao, and Igor Morozov

Search and Discovery.com

... for making P-S offset synthetic seismograms using convolutional model was proposed by Stewart (1991). In the weak contrast of the boundary, P-S wave...

Abstract: Fast and Accurate Impedance Inversion by Well-Log Calibration; #90171 (2013)

Igor B. Morozov and Jinfeng Ma

Search and Discovery.com

...) the convolutional equation; 2) time-depth constraints from the seismic data, 3) background low-frequency model from the logs or seismic/geological interpretation...

Abstract: New Approach to Finite-Difference Memory Variables by Using Lagrangian Mechanics; #90187 (2014)

Wubing Deng and Igor Morozov

Search and Discovery.com

... to memory variables, based on Lagrangian description of the rheological model called the Generalized Standard Linear Solid (GSLS). This approach allows...

Abstract: Cost Efficient Acquisition to Reduce Coarse Land 3D Line Spacings Through Beyond Nyquist Interpolation and Wavefield Reconstruction for Signal and Noise; #90187 (2014)

Bill Goodway

Search and Discovery.com

... not exceed Nyquist. Both authors concluded that the assumption of a smoothly varying linear model for the wavefield (or a plane wave decomposition...

Abstract: Innovative QCs for More Effective 4D Processing; #90187 (2014)

Cyril Saint Andre, Benoit Blanco, Christian Hubans, and Benoit Paternoster

Search and Discovery.com

... problem in the framework of the 1D convolutional model. This attribute and the following developments were initially detailed by Cantillo (2012) [3...

Abstracts: Revisiting Homomorphic Wavelet Estimation and Phase Unwrapping; #90173 (2015)

Roberto H. Herrera and Mirko van der Baan

Search and Discovery.com

.... The convolutional operator is denoted by  and η (t ) is the additive noise. In the frequency domain equation (1) can be expressed as: = W ( f ) R( f ) + Ν...

Abstracts: Full Waveform Inversion Using One-way Migration and Well Calibration; #90173 (2015)

Gary F. Margrave, Robert J. Ferguson, and Chad M. Hogan

Search and Discovery.com

... model is proportional to a reverse-time migration of the data residual (the difference between the actual data and data predicted by the model) where...

Abstract: Deterministic Marine Deghosting: Tutorial and Recent Advances; #90224 (2015)

Mike J. Perz and Hassan Masoomzadeh

Search and Discovery.com

... violates the convolutional model that forms the cornerstone of the derivation of our deterministic deghosting operator, and would lead to unacceptable...

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...

Understanding Seismic Amplitudes, by Steve Henry, #40135 (2004).

Search and Discovery.com

Prestack Seismic Data Inversion for Shale Gas Reservoir Characterization in China; #41829 (2016)

Gang Yu, Yusheng Zhang, Uwe Strecker, Maggie Smith

Search and Discovery.com

... of Horizontal Transverse Isotropy (HTI) the model is parallel vertical cracks (Thomsen, 1988). P waves travel with different velocities depending...

Improving Resolution and Clarity with Neural Networks; #41911 (2016)

Christopher P. Ross

Search and Discovery.com

... and anisotropic model parameters simultaneously with wave-equation modeling. Well logs may be used as part of the low-frequency initial model building...

A Novel System for Determining Flaring Efficiency Utilizing Optical Methods and Artificial Intelligence

Ángel E. Esparza, Joe Etheridge

Unconventional Resources Technology Conference (URTEC)

... to implement multiple layers within neural networks and conduct operations in isolation of user’s active participation. Convolutional Neural Networks (CNN...

Robust localized adaptive waveform inversion: A new regularization for Gabor deconvolution

Peng Yong, Romain Brossier, Ludovic Mtivier

International Meeting for Applied Geoscience and Energy (IMAGE)

... and calculated data. Different from AWI which is based on a stationary convolutional model, LAWI can take the non-stationarity nature of seismic data...

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)

... as simple least-squares optimization problem for the non-linear wave-equation represented as an abstract matrix A(m) parametrized by the model parameter m...