Deep compressed learning for 3D seismic inversion

Maayan Gelboim, Amir Adler, Yen Sun, Mauricio Araya-Polo

International Meeting for Applied Geoscience and Energy (IMAGE)

... Compressed Learning (CL) facilitates solutions of machine learning tasks, such as classification and regression, from compressed sensing (CS) measurements...

Stochastic inversion method based on a priori information of compression-sensing divided-frequency waveform indication

Ying Lin, Siyuan Chen, Guangzhi Zhang, Baoli Wang, Minmin Huang

International Meeting for Applied Geoscience and Energy (IMAGE)

..., Shenzhen, 518067, China. Summary We propose a stochastic inversion method based on compressed sensing frequency division waveform indication prior. Based...

Abstract: On Sampling Optimization Based on Mutual Coherency Criterion; #90224 (2015)

Mafijul Islam Bhuiyan

Search and Discovery.com

..., and J. Peirce, 2000, Planning 3d seismic surveys: Society of Exploration Geophysicists. Donoho, D., (2006), Compressed sensing.: IEEE Trans...

Research on reservoir prediction based on compressed sensing and inversion theory

Qing Zhou, Jianli Wang, Qian Yu, Heng Zhang

International Meeting for Applied Geoscience and Energy (IMAGE)

...Research on reservoir prediction based on compressed sensing and inversion theory Qing Zhou, Jianli Wang, Qian Yu, Heng Zhang Research on Reservoir...

Noise suppression and compressive sensing recovery with seismic-adapted DnCNN within RED

Nasser Kazemi

International Meeting for Applied Geoscience and Energy (IMAGE)

... and compressive sensing applications. INTRODUCTION Recently, deep learning gained a remarkable interest in the signal processing community (Krizhevsky et al...

Computational geophysical acquisition (CGA) as an enabler of geophysical solutions

Mengli Zhang, Yaoguo Li

International Meeting for Applied Geoscience and Energy (IMAGE)

... © 2023 Society of Exploration Geophysicists and the American Association of Petroleum Geologists REFERENCES Donoho, D. L., 2006, Compressed sensing: IEEE...

Modeling of Fiber Optic Strain Responses to Shear Deformation of Fractures

Ruwantha Ratnayake, Ahmad Ghassemi

Unconventional Resources Technology Conference (URTEC)

... in this study will guide Engineers to better understand the strain signatures obtained with the DSS method. Introduction Distributed strain sensing (DSS...

Compressed Air Energy Storage for Electricity Generation

R.D. Allen

Circum Pacific Council Publications

...Compressed Air Energy Storage for Electricity Generation R.D. Allen © Circum-Pacific Council for Energy and Mineral Resources 2009 – Transactions...

Abstract: Assessing the Need for Repeatability in Acquisition of Time-lapse Data; #90187 (2014)

Felix Oghenekohwo and Felix Herrmann

Search and Discovery.com

... is regularly sampled during the base survey and repeat surveys. Compressed sensing, (Donoho(2006); Candes et al. (2006)) is a new theory which proposes...

Hydraulic fracture aperture estimation using low frequency DAS and DSS in Austin Chalk and Eagle Ford Shale

Xiaoyu Zhu, Jonathan Ajo-Franklin, Julia Correa, Yuanyuan Ma, Jaewon Saw, Linqing Luo, Kenichi Soga

International Meeting for Applied Geoscience and Energy (IMAGE)

... sensing methods. Data obtained from low-frequency distributed acoustic sensing (LF-DAS) and Brillouin-based distributed strain sensing (DSS) were analyzed...

Improving Microseismic Denoising Using 4D (Temporal) Tensors and High-Order Singular Value Decomposition

Keyla Gonzalez, Eduardo Gildin, Richard L. Gibson Jr.

Unconventional Resources Technology Conference (URTEC)

... and distributed acoustic sensing (DAS) data to obtain insights into the rock structure. This may be used as a basis for future planning of hydraulic fracturing...

Multichannel compressive sensing for seismic data reconstruction using joint sparsity

Iga Pawelec, Michael Wakin, Paul Sava

International Meeting for Applied Geoscience and Energy (IMAGE)

.... Herrmann, and C. C. Mosher, 2017, Introduction to this special section: Impact of compressive sensing on seismic data acquisition and processing: The Leading...

Revolutionizing seismic data compression: Unlocking the power of stable diffusion neural networks

Ayrat Abdullin, Umair Bin Waheed, Naveed Iqbal

International Meeting for Applied Geoscience and Energy (IMAGE)

... a compression ratio of 307 on a synthetic data set. Introduction Distributed Acoustic Sensing (DAS) has emerged as a revolutionary technology in seismic...

Active sampling design for seismic data based on dynamic matching distance

Yingjie Xu, Siwei Yu

International Meeting for Applied Geoscience and Energy (IMAGE)

... on dynamic matching distance Yingjie Xu*, Siwei Yu, Harbin Institute of Technology Summary Seismic data acquisition and reconstruction based on compressed...

AAPG Studies in Geology No. 48 / SEG Geophysical References Series No. 11, Front Matter: ACKNOWLEDGMENTS / ABOUT THE EDITORS / TABLE OF CONTENTS / FOREWORD / INTRODUCTION

Dietmar Schumacher and Leonard A. LeSchack

AAPG Special Volumes

... / FOREWORD / INTRODUCTION Dietmar Schumacher and Leonard A. LeSchack 2002 iv xvii AAPG Studies in Geology No. 48/SEG Geophysical References Series No. 11...

Distributed acoustic sensing of long subsea tie-backs

Glenn A. Wilson, Brian C. Seabrook, Sigurd Moe, Kwang Suh, Mikko Jaaskelainen, Andreas Ellmauthaler, Jeff Bush, James Dupree

International Meeting for Applied Geoscience and Energy (IMAGE)

...Distributed acoustic sensing of long subsea tie-backs Glenn A. Wilson, Brian C. Seabrook, Sigurd Moe, Kwang Suh, Mikko Jaaskelainen, Andreas...

Can tile low-rank compression live up to expectations? An application to 3D multidimensional deconvolution

Yuxi Hong, Matteo Ravasi, Hatem Ltaief, David Keyes

International Meeting for Applied Geoscience and Energy (IMAGE)

... roofline performance model is presented. INTRODUCTION Traditional algorithms in reflection seismology rely on strong assumptions about wave propagation...

Abstract: Introduction to Geologic Remote Sensing, by James V. Taranik, Charles M. Trautwein; #90962 (1978).

Search and Discovery.com

The CSIRO in-situ Laboratory in South Western Australia: A Field Laboratory for De-Risking Carbon Storage

Karsten Michael, Ludovic Ricard, Linda Stalker, Allison Hortle, Arsham Avijegon

Australian Petroleum Production & Exploration Association (APPEA) Journal

..., CO2 monitoring, controlled CO2 release experiment, fibre optic sensing. Accepted 5 March 2020, published online 15 May 2020 Introduction...

Integration of hydrologic remote sensing data to estimate changes in groundwater storage across multiple spatial scales

Aakash Ahamed, Rosemary Knight, Sarfaraz Alam

International Meeting for Applied Geoscience and Energy (IMAGE)

... or calibrated groundwater flow models. Introduction Satellite remote sensing data can be used to accurately estimate key components of the hydrologic cycle...

Applied workflows for fiber optic sensing data from low carbon energy projects

Jess Kozman, Waris Warsi

International Meeting for Applied Geoscience and Energy (IMAGE)

...Applied workflows for fiber optic sensing data from low carbon energy projects Jess Kozman, Waris Warsi Applied workflows for fiber optic sensing...

Measuring Fracture Induced Stress Shadow Using Fiber Optic Sensing and Its Implications on Fracture Stimulation Design

Rob Bohn

Unconventional Resources Technology Conference (URTEC)

...Measuring Fracture Induced Stress Shadow Using Fiber Optic Sensing and Its Implications on Fracture Stimulation Design Rob Bohn URTeC: 3723054...

Abstract: Acceleration on Sparse Promoting Seismic Applications; #90187 (2014)

Lina Miao and Felix Herrmann

Search and Discovery.com

... well exploited the robustness of sparse solutions. Moreover, with the emerging usage of compressed sensing in recent years, sparse recovery have been...

Abstract: Interpretation and Processing of Landsat ETM+data for 1:50,000 Scale Lithological Mapping in Eagle Plain, Northern Yukon; #90187 (2014)

Shihua Zhao

Search and Discovery.com

... lithological discrimination and enhance the overall mapping performance. Introduction Multispectral satellite remote sensing technology provides a relatively...

Fast self-supervised learning for reconstruction of 3D seismic data

Yinshuo Li, Wenkai Lu, We Cao

International Meeting for Applied Geoscience and Energy (IMAGE)

... seismic data Ori data D 3D features Compressed sensing data sampling RFFT Evaluate CS data Da C-Conv C-PReLU iRFFT Bernoulli sampling Local Global...