Abstract: Identifying and Assessing Autogenic Cycles in Alluvial Stratigraphy;

Kristopher Phillips, Brady Foreman, Kyle Straub, William Clyde, William Ward

Search and Discovery.com

... and Exhibition 2020, Online/Virtual Abstract Autogenic processes in fluvio-deltaic systems have long been considered background noise in stratigraphy, whereas...

Anti-aliasing seismic data interpolation by dip-informed self-supervised learning

Shirui Wang, Xuqing Wu, Jiefu Chen

International Meeting for Applied Geoscience and Energy (IMAGE)

.... Birnie, C., M. Ravasi, S. Liu, and T. Alkhalifah, 2021, The potential of self-supervised networks for random noise suppression in seismic data...

Aspects to the Resolving Power of 3D Seismic Surveys

Wolfgang Houba

Geological Society of Malaysia (GSM)

..., and all traces that are spatially located in one of these bins are processed as representing the same subsurface point. It is clear that source...

Predicting Frac Performance and Active Producing Volumes Using Microseismic Data

Charles J. Sicking, Jan Vermilye, Alfred Lacazette

Unconventional Resources Technology Conference (URTEC)

.... Steps for computing the fracture image volumes include data acquisition, velocity model building, trace processing for noise suppression, imaging...

Fresnel criteria for 5D survey design: A proof of concept decimation test

Michael Hons, Dave Simmons, Sean Contenti, Yong Xu

International Meeting for Applied Geoscience and Energy (IMAGE)

... corrections and velocity analysis, which yielded surprisingly similar results. A notable exception was cross-spread noise attenuation, which required...

SG14: The COCORP Seismic Reflection Traverse Across the Southern Appalachians - Data Acquisition and Processing

Frederick A. Cook, Larry D. Brown, Sidney Kaufman, and Jack E. Oliver

AAPG Special Volumes

... frequencies, editing of the unusable traces, sorting of the traces into common depth point (CDP) gathers, muting of the high amplitude surface noise...

The TsunamiŽ Survey Offshore Sumatra, a Cooperative Geo-Technical Project for Deep Crustal Study WesternGeco/Schlumberger/CNRS-IPG Paris/BPPT

Soelistijani M, Martin Bayly, Tim Bunting, Satish C. Singh

Indonesian Petroleum Association

... and spatially sample both the low frequency signal and particularly the noise. By using the Q-Marine system with 3.125m spaced single digital sensors...

Auto-Control Model Building Using Machine Learning Regression for Extreme Response Prediction

Darrell Leong, Anand Bahuguni

Australian Petroleum Production & Exploration Association (APPEA) Journal

... conditions into discrete independent sea states of assumed stationarity. Within each sea state, random wave statistics are characterised by spectral...

Acquisition and Ananlysis of Wide-Angle Reflection and Refraction Seismic Data

Paul L. Stoffa

Circum Pacific Council Publications

... by addition (summation or stacking) to produce a seismogram with an improved signal to random and coherent noise ratio (Figure 3). Seismic exploration has been...

The Application of Microseismics in the Oil and Gas Industry

Kim Gunn Maver, Shawn Maxwell, Nick Koutsabeloulis, Robert Greenaway

GEO ExPro Magazine

... Cemented observation well n n n Wireline observation well n n n Outside casing n n No drilling cost More freedom to spatially optimize array...

Sedimentology and Fractal-Based Analysis of Permeability Data, John Henry Member, Straight Cliffs Formation (Upper Cretaceous), Utah, U.S.A.

James W. Castle, Fred J. Molz, Silong Lu, Cynthia L. Dinwiddie

Journal of Sedimentary Research (SEPM)

..., 417 p. GOGGIN, D.J., CHANDLER, M.A., KOCUREK, G., AND LAKE, L.W., 1992, Permeability transects of eolian sands and their use in generating random...

An Approach for Generating Spatially and Physically Correlated Natural Fracture Network Properties for Unconventional Reservoirs

Yogendra Narayan Pandey, Jeffrey M. Yarus, Genbao Shi, Veronica Liceras

Unconventional Resources Technology Conference (URTEC)

...An Approach for Generating Spatially and Physically Correlated Natural Fracture Network Properties for Unconventional Reservoirs Yogendra Narayan...

Chapter One: Introduction to AAPG Memoir 42/SEG Investigations in Geophysics, No. 9, 7th Ed.

Alistair R. Brown

AAPG Special Volumes

... to the embedding material, the random and systematic noise in the data, and the phase of the seismic wavelet. Figure 1-5. Resolution of the reflections...

Levantine Basin Petroleum Systems: A Regional 2-D Basin Modeling Study, Marlow, Lisa; Wattrus, Nigel; Swenson, John; Kendall, Christopher; Kornpihl, Kristijan (Duplo), #90100 (2009)

Search and Discovery.com

Mechanisms for the Accumulation and Preservation of Eolian Dune Successions

Search and Discovery.com

Macroscopic to Microscopic Criteria for Assessing Spatial Changes in Material and Bounding Surface Character of Mass-Transport Deposits and Implications for Seal Quality

Search and Discovery.com

Variations in Organic Content of the Kolje Formation in the Western Barents Sea: A Stochastic Modelling Approach

Search and Discovery.com

Abstract: Before the Basin Model: Utilizing Formation Tops and Production Profiles to Understand the Effects of Burial History on Hydrocarbon Production;

Ted Cross, Kiran Sathaye, Kristopher Darnell, Dillon Niederhut

Search and Discovery.com

... the model training dataset. Utilizing a random 80%/20% split of wells, this model is able to predict oil, gas, and water production with a median error...

Abstract: Understanding Autogenic Channel Clustering and A/S Ratios in Fluvial Sandstones of the Ericson Sandstone: Implications for Predictability and Reservoir Architecture;

Samuel Hudson, Chelsea Jolley, Blake Steeves, Austin Bertoch, April Trevino, Jason Klimek

Search and Discovery.com

... by vertical well logs. Spatially, however, these channel complexes are much more laterally isolated than those of the upper and lower units. Channel cluster...

Artificial Intelligence Integration for Optimal Reservoir Data Analysis and Pattern Recognition

Dr. Leon Hamilton, Dr. Marianne Rauch

Unconventional Resources Technology Conference (URTEC)

... and well logs. Research has demonstrated that reservoir models need to train on data that reflects real world; the level of noise (random errors...

Time-lapse monitoring of saltwater disposal in Kansas and Oklahoma using ambient noise

Lonn Brown, Mirko van der Baan

International Meeting for Applied Geoscience and Energy (IMAGE)

...Time-lapse monitoring of saltwater disposal in Kansas and Oklahoma using ambient noise Lonn Brown, Mirko van der Baan Time-lapse monitoring...

Facies Mosaics Across the Persian Gulf and Around Antigua-Stochastic and Deterministic Products of Shallow-Water Sediment Accumulation

Bruce H. Wilkinson, Carl N. Drummond

Journal of Sedimentary Research (SEPM)

... sediment types (capital letters) relative to abundance rank. These comprise random (white noise) variation around an exponential trend of decreasing...

SoundBal: Two-Phase Production Logging by Integrating Mass Balance and DAS-Based Speed of Sound

Peyman Moradi

Unconventional Resources Technology Conference (URTEC)

... producing commingled zones with varying reservoir properties. The tool effectively generates two-phase production logs even when noise contamination causes...

Pushing the limit of 5D interpolation using deep learning

Yangkang Chen, Hang Wang, Chao Li, Omar M. Saad

International Meeting for Applied Geoscience and Energy (IMAGE)

... or receivers may also aggravate the data loss. The data quality is also affected by random noise in the environment, which can disturb waveforms...

Methods of estimating wavelet stationarity, stabilizing non-stationarity, and evaluating its impact on inversion: A synthetic example using SEAM II Barrett unconventional model

Jesse Buckner, Michael Fry, Joe Zuech, Peter Harris, Bill Shea

International Meeting for Applied Geoscience and Energy (IMAGE)

... methods are utilized to measure a spatially varying wavelet. Once detected, we offer a workflow to stabilize these estimated amplitude/phase variabilities...