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...

Production Diagnostics with Time Lapse Geochemistry

Yishu Song, Eric Michael

Unconventional Resources Technology Conference (URTEC)

.... Convolution neural network model was developed with TensorFlow for dynamic production performance predictions. Machine learning model details...

Exploring La Luna Formation Unconventional Plays in the Maracaibo Lake Basin, Through 3D Modeling Based on Acoustic Seismic Inversion

Jose Mendez, Carlos Lobo, Ronny Movil, Carlos Alcantara, Luis Yegres, James Brown

Unconventional Resources Technology Conference (URTEC)

.... The synthetic logs were computed from sonic (DT) and bulk density logs (RHOB). After the convolution model estimation, the synthetic traces were created from...

Geometry and Internal Characteristics of Archaean Submarine Channel Deposits, Pilbara Block, Western Australia

Kenneth A. Eriksson

Journal of Sedimentary Research (SEPM)

... Group south of Pilgangoora. End_Page 387------------------------ cm thick. These display intense convolution in the form of large-scale ball...

Bedding Types in Holocene Tidal Channel Sequences, Knik Arm, Upper Cook Inlet, Alaska

Susan Bartsch-Winkler , Henry R. Schmoll

Journal of Sedimentary Research (SEPM)

... have been distinguished by measuring the maximum visible convolution dimension (in most cases, height--that is, the structural relief on a given bed...

A cross-shape deep Boltzmann machine for petrophysical seismic inversion

Son Dang Phan and Mrinal K. Sen

AAPG Bulletin

... properties such as P-impedance, S-impedance, and density. The inverse problem comprises (1) a forward problem, which uses a convolution model between...

ABSTRACT: Sedimentation from Jets: A Depositional Model for Clastic Deposits of all Scales and Environments; #90013 (2003)

D. C. J. D. Hoyal, J. C. Van Wagoner, N. L. Adair, M. Deffenbaugh, D. Li, T. Sun, C. Huh, D. E. Giffin

Search and Discovery.com

... in the jet region follows a power law, the grain-size decay is exponential-linear in the downstream direction due to convolution of the jet velocity field...

Abstract: A study of Spectral Broadening Methods for Multicomponent Data; #90174 (2014)

Chuck Ursenbach, Peter Cary, and Mike Perz

Search and Discovery.com

... of opposite sign, located at 0.3367 s and 0.3567 s. b) The green line from Part a displayed together with a convolution of the reflectivity with a Ricker...

Fractured Reservoir Prediction … A Case Study in the Sichuan Basin; #10512 (2013)

Ling Yun, Xiangyu Guo, Qianggong Song, and Weisheng He

Search and Discovery.com

... convolution and phase processing Uphole data +shallow refractions + 3D Tomo-inversion statics Field statics Velocity analysis: 1. VSP-surface V analysis 2...

Sedimentation from Jets: A Depositional Model for Clastic Deposits of all Scales and Environments, by D.C.J.D. Hoyal, J.C. Van Wagoner, N.L. Adair, M. Deffenbaugh, D. Li, T. Sun, C. Huh, and D.E. Giffin, Search and Discovery Article #40082 (2003).

Search and Discovery.com