Machine learning-based residual moveout picking

Farhad Bazargani, Wenjun Zhang, Anu Chandran, Zaifeng Liu, Harry Rynja

International Meeting for Applied Geoscience and Energy (IMAGE)

... of the seismic data. Effective picks must detect primary reflection energy and correctly capture the curvature of the events, while avoiding random or coherent...

Predicting the time-evolution of CO2 saturation through a combination of rock physics and full-waveform inversion

Qi Hu, Dario Grana, Kristopher A. Innanen

International Meeting for Applied Geoscience and Energy (IMAGE)

... repeat the experiment in Figure 4b to examine random noise effects. We add white Gaussian noise to the data considering three noise levels: signal...

Overly steep decays in airborne TEM data and their link to chargeability: example from the Howards East District, NT, Australia

Klara Steklova, Ken Lawrie, Esben Auken, Anders V. Christiansen, Gianluca Fiandaca

Petroleum Exploration Society of Australia (PESA)

... of chargeable material in the subsurface, i.e. where the chargeability is not strong enough to reverse the sign above the noise level, although it still...

Spatial statistical analysis and geomodelling of banana holes using point patterns and generative adversarial networks

Rayan Kanfar, Charles Breithaupt, Tapan Mukerji

International Meeting for Applied Geoscience and Energy (IMAGE)

... and Nichol 2021). Diffusion models learn the same transformation as GANs by defining a Markov chain of diffusion steps that add random noise to real...

Work Processes to Mitigate Interpretation Pitfalls in Complex Imaging Environments, Helsing, Carl E.; Trainor, Dwight, #90100 (2009)

Search and Discovery.com

Geological Interpretation of Seismic Data in Color – A New Approach

Search and Discovery.com

Abstract: On Maximizing Value for Small 3D Seismic Survey Acquisition in the WCSB; #90224 (2015)

Dale Harger and Jason Schweigert

Search and Discovery.com

... are spatially distributed. The orthogonal design is more conducive to diversifying the spatial diversity. On the assumption that spatial diversity...

High-EffortŽ Seismic Acquisition: Improving Image Detail; #41568 (2015)

David C. Henley, Kevin Hall, Henry Bland, Eric Gallant, Gary Margrave, Malcolm Bertram

Search and Discovery.com

.... For most routine seismic surveying, the acquisition geometry is designed to sample the anticipated subsurface features without spatially aliasing...

Conditioning a Process-Based Model of Sedimentary Architecture to Well Data

Derek Karssenberg , Torbjorn E. Tornqvist , John S. Bridge

Journal of Sedimentary Research (SEPM)

... the downstream end of the modeling area (m), e(x, y) stochastic field: spatially uncorrelated random noise with variance and zero mean. Channel-Belt...

Abstracts: Fractional Fourier Transform in Coherent Noise Attenuation; #90173 (2015)

K. H. Miah and M. D. Sacchi

Search and Discovery.com

... noise separation using FRFT A synthetic shotgather (Fig. 2) with overlapping spatially coherent linear noise and hyperbolic events is used...

Extended Abstract: The Permian Play Ground: Unlocking the Potential of the Tinowon Sandstone

Barry Smith

Petroleum Exploration Society of Australia (PESA)

... and partial reconstruction. This successfully removed both coherent and random noise from the dataset, hence increasing the signal-to-noise ratio...

Spatial Sampling Bias in Decision Tree Machine Learning Method for Unconventional Resources

Search and Discovery.com

ABSTRACT Lateral Heterogeneity of Carbonate Lithotopes Across Modern Depositional Surfaces, #90104 (2010)

Wilkinson Bruce; Drummond Carl

Search and Discovery.com

... the random partitioning of the platform surface into some specified number of  subregions, such that distances between boundaries along any transect...

Coherent attribute enhanced fault recognition method based on histogram homogenization

Qing Zhou, Rui Wu, Chengcheng Xu, Yong Chen

International Meeting for Applied Geoscience and Energy (IMAGE)

... changes greatly and the signal-to-noise ratio of seismic data is low. The common fault identification method is mainly coherent attribute...

Blind Thrusts and Fault-Related Folds in the Upper Cretaceous Alberta Group, Deep Basin, West-Central Alberta: Implications for Fractured Reservoirs

Bruce S. Hart, Bogdan L. Varban, Kurt J. Marfurt, A. Guy Plint

CSPG Bulletin

...) was used to enhance lateral resolution and reduce both random and coherent noise. This filtering method suppresses random noise in a way that avoids...

Acquisition, Processing, and Analysis of Shallow, High-Resolution Seismic Data from the Outer Continental Shelf and Upper Slope, Offshore Louisiana

Susan E. Nissen , Janet M. Combes , Anthony G. Nekut

Journal of Sedimentary Research (SEPM)

.... More importantly, the ghosts have been significantly reduced in this stack (Fig. 9). Increased fold allows random noise to be reduced during...

Uranium exploration in the Athabasca Basin using low-noise airborne gravity gradient data

Darren Burrows, James Sykes

International Meeting for Applied Geoscience and Energy (IMAGE)

...Uranium exploration in the Athabasca Basin using low-noise airborne gravity gradient data Darren Burrows, James Sykes Uranium exploration...

Introduction to Contouring Geological Data with a Computer: Part 8. Integrated Computer Methods

J. L. Gevirtz

AAPG Special Volumes

... criterion. End_Page 429------------------------ smaller scale random but spatially correlated part, and still smaller scale random noise. The method uses...

Separation of simultaneous source wavefields using convolutional neural network

Zhehao Li, Hua-Wei Zhou, Kang Fu

International Meeting for Applied Geoscience and Energy (IMAGE)

... (DnCNN) to attenuate the interference signals from the blended shots. Tests on synthetic and field data demonstrate that in terms of signalto-noise ratio...

Machine-Learning Based Analytics Applied to Stimulation Performance in the Utica Shale: Case Study and Lessons Learned

Sebastien Perrier, Arnaud Delpeint, Zulibukaer Shawuti, Ashis Shrestha

Unconventional Resources Technology Conference (URTEC)

... by redundancy, implemented in this case study in terms of: • • machine-learning algorithms: namely using and comparing random forest and neural networks...

Abstract: A Regional Microseep Survey of the Wyoming-Utah Overthrust Belt

Matt Matthews

Houston Geological Society Bulletin

... and spatially more extensive than would be expected on a random basis. This use of microseep data emphasizes the identification of broad areas of interest...

Ground Roll Polarization Filtering with Spatial Smoothness Constraints

Search and Discovery.com

... are estimated by projecting the 3C data from a single receiver onto the noise polarization vector removes part of the desired signal. Spatially Constrained...

Using Markov Chain Analysis to Determine Relative Avulsion Rate and its Impact on Reservoir Architecture in Basin-Floor Lobe Deposits in the Neoproterozoic Upper Kaza Group, Windermere Supergroup, Canada

Search and Discovery.com

Organic Matter Maturation Trends and Source Rock Quality in the Utica Shale, East-Central Ohio

Search and Discovery.com

Asymmetric apertures for 3D SRME: Practical aspects and opportunities

Zhimei Yan, Massimiliano Vassallo, Scott Slaton

International Meeting for Applied Geoscience and Energy (IMAGE)

.... In addition to computation cost reduction, 3D SRME multiple models created by asymmetric apertures have less random noise compared to geologically constrained...