Appendix A: Considerations for Optimum 3-D Survey Design, Acquisition and Processing

R. Malcolm Lansley

AAPG Special Volumes

... and receiver arrays to attenuate both coherent source-generated noise and random noise can be really problematical. This is because the arrays also attenuate...

Abstract: Spatially Constrained Inversion of Transient Electromagnetic Data for Near Surface Characterization, by D. Rovetta, D. Colombo, G. McNeice, and T. Yousuf, #90188 (2014)

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Comparing Seismic Resolution and Signal and Noise Quality between Dense Point-Receiver and Conventional Data, Bakken Formation, North Dakota; #41160 (2013)

Niranjan Banik, Antoun Salama, Adam Koesoemadinata, George El-Kaseeh, Mark Egan, and Alfonso Gonzalez

Search and Discovery.com

... of these geophones are summed together. This is a simple and robust way of reducing random noise, but can severely impact the quality of the recorded signal. Intra...

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

... for Signal and Noise; #90187 (2014) Bill Goodway AAPG Search and Discovery Article #90187 © CSPG/CSEG/CWLS GeoConvention 2013, Integration: Geoscience...

Magnetotelluric inversion using supervised learning trained with random smooth geoelectric models

Lian Liu, Bo Yang, Yixian Xu, Dikun Yang

International Meeting for Applied Geoscience and Energy (IMAGE)

... times to generate models with different degrees of smoothness (Figures 1d ~ 1f). The spatially uncorrelated random models are geologically unrealistic...

Well Spacing and the Identification of Subsurface Drainage Systems

J.E. Robinson

CSPG Bulletin

... of subsurface stream systems are contoured as if they have a dendritic or random pattern. Such stream systems are not commonly found on the present-day...

Spatially varying Chi volumes: A study in offshore Australia on background trend calculation from the Shuey two-term approximation

Hayden Powers, Noah R. Vento

International Meeting for Applied Geoscience and Energy (IMAGE)

...Spatially varying Chi volumes: A study in offshore Australia on background trend calculation from the Shuey two-term approximation Hayden Powers...

Seismic Imaging through Outcropping Carbonates: An Example from the Canadian Rocky Mountains, , #41533 (2015).

Yong Hua, Don C. Lawton

Search and Discovery.com

... and attenuate linear noise. This linear noise has different apparent velocities and frequency bandwidth in different regions of this survey. Spatially varying...

Hydraulic fracture-hit detection system using low-frequency DAS data

Xiaoyu Zhu, Ge Jin, Richard Hammack

International Meeting for Applied Geoscience and Energy (IMAGE)

.... The random forest classifier achieved the best performance among neural networks and bagging support vector machine classifier. The workflow was applied...

Abstract: Increasing Seismic Resolution by Decreasing Receiver Spacing; #90171 (2013)

David C. Henley, Kevin W. Hall, Malcolm Bertram, and Eric Gallant

Search and Discovery.com

... that in order to analyze and filter the noise this effectively, the noise must be adequately sampled spatially during acquisition. Conclusions We show that fine...

Antialiasing 5D Interpolation; #41497 (2014)

Stephen K. Chiu

Search and Discovery.com

... interpolation increases the signal-to-noise ratio of the interpolated data due to random-noise reduction during the interpolation process. After...

Abstract: Optimising Reservoir Characterisation Through Seismic Data Conditioning: A Case Study of Block22/NCMA4, Trinidad; #90238 (2015)

Dale Baptiste, Russ Creath, and Vishal Nagassar

Search and Discovery.com

... sequence was developed to address signal to random noise, short period multiples, offset dependent frequency and amplitude loss, gather alignment...

Deblended-Data Reconstruction Using a Closed-Loop Approach for Time-Lapse Seismic Monitoring, #42320 (2018).

Tomohide Ishiyama, Mohammed Y. Ali, Gerrit Blacquire, Shotaro Nakayama

Search and Discovery.com

... in acquisition: the coherency of blended signal versus the incoherency of blending noise in the pseudo-deblended domain. This process can be posed...

Successful Depth Imaging at Banyu Urip Field

Yuki Y. Agulia, Michael Gurch, Sony Mohammad, Bastian Hutahayan

Indonesian Petroleum Association

... ground-roll and random noise. 5D interpolation was applied to provide uniform sampling throughout the survey. A bandwidth extension approach was used...

A High-Resolution Seismic Survey to Image the Top of Salt at Avery Island, Louisiana

Dawn Standridge, Cathy Bishop, Gary Kinsland, Robert Schneider, Laura Serpa

GCAGS Transactions

... with coherent noise spatially correlated with the location of a mechanical shop, which was about 160 ft (50 m) away from the line. It is believed...

Abstracts: Ground Roll Attenuation Using LWD; #90173 (2015)

Ken Kocon and M. Sacchi

Search and Discovery.com

... capture signal and noise in separate parts of LWD’s data reconstruction. We also discuss results from applying the method to synthetic data...

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user

Search and Discovery.com

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

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user

Search and Discovery.com

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

The Signal and the Noise: Forward Modeling of Allocyclic and Autocyclic Processes Influencing Peritidal Carbonate Stacking Patterns

Peter M. Burgess

Journal of Sedimentary Research (SEPM)

... A is a clear reflection of the driving sinusoidal eustatic curve. Addition of the random processes adds an element of noise to the sinusoidal pattern...

Analysis of Amplitude Versus Offset to Detect Gas/Oil Contacts in Arabian Gulf: ABSTRACT

Edward F. Chiburis

AAPG Bulletin

...) The theoretical behavior of P-wave reflection amplitude as a function of incidence angle (offset) indicates that diagnostic changes should be spatially...

Information on Grain Sizes in Gravel-Bed Rivers by Automated Image Analysis: RESEARCH METHODS PAPERS

L.C. Sime, R.I. Ferguson

Journal of Sedimentary Research (SEPM)

..., and their ecological significance for both invertebrates and fish spawning. Gravel GSDs are spatially variable at several scales: broad down-basin or down-river trends...

Benefits and Uplift of Focused Post-Migration Gather Conditioning Over Prospect Specific Areas - An Indonesian Case Study

David Jessup, Dave Goulding, Andy Kalil

Indonesian Petroleum Association

.... This process included RMO, Radon Demultiple, Spectral Balancing, Random Noise Attenuation, Qcompensation, and Trim Statics. The QC attributes were computed...

Risks of Microseismic Fracture Mapping Mis-interpretation: Source-Dependent Sensitivity Induced by Surface Arrays Observational Bias

Pierre-Francois Roux

Unconventional Resources Technology Conference (URTEC)

... level (the magnitude of completeness). While it is well-known that borehole arrays, due to their very limited focal sphere coverage, show spatially...

Monte Carlo and Stochastic Simulation Methods: Part 6. Geological Methods

A. G. Journel

AAPG Special Volumes

... MONTE CARLO METHOD The Monte Carlo technique consists of generating many different joint outcomes of random processes (Figure 1c) and then observing...

The Practical Relevance of the Choice Between a Stationary and a Nonstationary Geostatistical Model: Abstract

Paul Switner

CSPG Special Publications

... of a spatially correlated random field. The fact that geographically close measurements resemble one another on the average, more than widely separated...