-- no title --

user1

Search and Discovery.com

.... equivalent to the convolution of Green’s function and seismic wavelet, which can be expressed as: 𝐷(𝑟, 𝑡 | 𝑠, 0) = ∫ 𝑚(𝑥)𝑊(𝑡) ∗ 𝐺(𝑟, 𝑡 |𝑥, 0...

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

Search and Discovery.com

Understanding Lithologic Significance of Amplitude Envelope and Acoustic Impedance within Oligocene and Miocene Strata, South Texas Gulf Coast; #40577 (2010)

Osareni Ogiesoba, Ursula Hammes

Search and Discovery.com

...(t)    =    1/t   *    f(t), where * denotes convolution.   (2) Amplitude envelope is always positive and does not depend on phase. It is used for fault...

Post-Stack Multi-Azimuth Stratigraphic Inversion Applied to Unconventional Reservoir Characterization: A Case Study in the Fort Worth Basin; #41120 (2013)

Mathilde Adelinet, Vincent Clochard, and Patrice Ricarte

Search and Discovery.com

... surface seismic and synthetic traces computed at each well. These synthetics are obtained by convolution of the acoustic reflectivity logs, converted...

Synthetic Seismograms for PS Seismic Data; #41793 (2016)

Satinder Chopra, Ritesh Kumar Sharma

Search and Discovery.com

..., the above process may not be accurate, as the reflectivity is zero for normal incidence and thus the convolution of a normal incidence reflectivity...

Petrophysical Rock Typing: Enhanced Permeability Prediction and Reservoir Descriptions; #51265 (2016)

Wanida Sritongthae

Search and Discovery.com

... the bed boundary from Borehole resistivity image - De-convolution to solve for true formation properties - Improve rock type and K prediction 1 m...

Enhancing Subsurface Imaging and Reservoir Characterization in the Marcellus Through Advanced Reprocessing of Wide Azimuth 3D Seismic, #11159 (2018).

Jinming Zhu, Chris Perll, Trevor Coulman,

Search and Discovery.com

.... • The convolution of trace SCi and trace CiR is one possible multiple recorded at trace SR. Contributions from all the possible Ci locations constitute the multiples...

Seismic Array Response in the Presence of Intra-Array Variations in Element Weights, Elevations, and Positions; #42328 (2018)

Ryan Adhi Putra, Abdullatif A. Al-Shuhail

Search and Discovery.com

... response is the convolution between the impulse response and the Ricker wavelet: (3) and it can be written as: (4) where R(t) is the Ricker wavelet...

Upscaling acoustic wave equation using renormalization group theory

Ajay Malkoti, Shravan M. Hanasoge, Rene Edouard Plessix

International Meeting for Applied Geoscience and Energy (IMAGE)

... is the “acoustic” or compressional velocity. x The product, q(ω, x ) = c2 (x )∆p(ω, x ) represents a convolution in the wavenumber (spatial-Fourier) domain...

Numerical RTA for Dry Gas Wells

Mathias L. Carlsen, Curtis Hays Whitson, Mohamad M. Dahouk

Unconventional Resources Technology Conference (URTEC)

... models, time, and spatial superposition (convolution), pseudopressure and pseudotime transforms are not required. 2 LA URTeC 4026063 Introduction...

Estimating CO2 saturation maps from seismic data using deep convolutional neural networks

Zi Xian Leong, Tieyuan Zhu, Alexander Y. Sun

International Meeting for Applied Geoscience and Energy (IMAGE)

... of training to produce 20 different of weights. At each iteration and at every training epoch, the kernels at every convolution layer (Conv2D) sample the input...

A Comparison between Geostatistical Inversion and Conventional Geostatistical-simulation Practices for Reservoir Delineation

C. Torres-Verdn, A. Grijalba-Cuenca, H. W. J. Debeye

AAPG Special Volumes

.... This convolution yields a numerical simulation of the poststack seismic amplitude data. A seismic residual (normally a least-squares residual...

Full Integration of Seismic Data into Geostatistical Reservoir Modeling

P. van Riel, P. Mesdag, H. Debeye, M. Sams

AAPG Special Volumes

... (Bortoli et al., 1993; Haas and Dubrule, 1994).In the above references, the seismic modeling component relies on the simple convolution model...

A Unified Leak-off and Flow-back Model for Fractured Reservoirs

Dylan Copeland

Unconventional Resources Technology Conference (URTEC)

...roducing any additional unknowns for pressure in the compressible region. However, the disadvantage is that the convolution must be evaluated at each . ...

An adaptive filter-based approach for the Marchenko multiples elimination scheme

Rodrigo S. Santos, Marcelo S. Souza, Daniel E. Revelo, Victor Koehne, Reynam C. Pestana, Diego F. Barrera, Laila D. L. Vergne, Jonathas Maciel

International Meeting for Applied Geoscience and Energy (IMAGE)

... bandwidth. The operators R and R∗ are the multidimensional convolution and correlation operators defined as: Z Z +∞ dx R(x′ , x,t ′ )P(x, x′′ ,t − t ′ )dt...

Multi-Layer Test Analysis for Dissolved Gas Reservoirs

W. Jatmiko, T. S. Daltaban, J. S. Archer

Indonesian Petroleum Association

... pressure2, wellbore storage and skin4. Kucuk et al.,5 used the convolution integral method to determine the individual layer properties and skin factors from...

Accurate seismic data interpolation based on multiband intelligent training

Xueyi Sun, Benfeng Wang, Tongtong Mo

International Meeting for Applied Geoscience and Energy (IMAGE)

... nonlinear features. The input data is passed through convolutional layers, where convolution kernels are applied to capture and highlight important...

Transitional Flow Regimes in Multi-Fractured Horizontal Wells

Shail Apte, W. J. Lee

Unconventional Resources Technology Conference (URTEC)

... rate we use the convolution theorem which is p− = wD 1 𝑞− 𝑠2 𝐷 . A.39 Applying the convolution theorem to equations A.33 and A.34 and using...

New technologies for seismic resolution enhancement and bandwidth expansion: Applications in SE Asian Basin

Yasir Bashir, Abdul Halim Abdul Latiff, Muhammad Sajid

Geological Society of Malaysia (GSM)

..., such as Q-marine. A novel de-convolution technique has been developed, which can enhance signal frequency to a considerable extent while minimizing...

Seismic inversion with implicit neural representations

Juan Romero, Wolfgang Heidrich, Nick Luiken, Matteo Ravasi

International Meeting for Applied Geoscience and Energy (IMAGE)

... be mathematically represented via the socalled convolutional model (Goupillaud, 1961). This entails the convolution of a source function or wavelet w...

Comparison of Seismic Reconvolution and Gabor Deconvolution in Improving Seismic Images to Detect Local Fluid Trapping

Madaniya Oktariena, Wahyu Triyoso

Indonesian Petroleum Association

... of the real subsurface reflectivity. The condition is even filtered more during Post-Stack Seismic data processing. The boxcar convolution and utilized...

Efficient Bayesian full-waveform inversion using a deep convolutional autoencoder prior

Shuhua Hu, Mrinal K Sen, Zeyu Zhao, Abdelrahman Elmeliegy, Shuo Zhang

International Meeting for Applied Geoscience and Energy (IMAGE)

... channels. We use 3×3 kernel size for all the convolution, and stride size of 2 to reduce and upscale the dimension of the extracted features after...

Feature Detection for Digital Images Using Machine Learning Algorithms and Image Processing

Xiao Tian, Hugh Daigle, Han Jiang

Unconventional Resources Technology Conference (URTEC)

... models, including 34 separable convolutional layers. In separable convolutions, a spatial convolution is implemented keeping the channels separate...

A comparison of Marchenko multiples elimination schemes based on the beyond Neumann solution

Rodrigo S. Santos, Daniel E. Revelo, Reynam C. Pestana, Victor Koehne, Marcelo S. Souza, Diego F. Barrera, Laila D. L. Vergne

International Meeting for Applied Geoscience and Energy (IMAGE)

.... The operators R and R∗ are the multidimensional convolution and correlation operators defined as: Z Z +∞ dx R(x′ , x,t ′ )P(x, x′′ ,t − t ′ )dt ′ , {RP}(x′′ , x...

The Long Season of Point Bar Deposition in the Lance Formation, Dinosaurs Dying and the Beginning of a New Order

Al Allen

Wyoming Geological Association

..., representing slip off deposition or undercut bank deposits on the channel edge. Convolution axes are gently asymmetrical down slope but parallel to stream flow...