Facies-induced bias in machine learning-enhanced seismic lithology (inversion)

Hongliu Zeng, Bo Zhang, Mariana Olariu

International Meeting for Applied Geoscience and Energy (IMAGE)

...), Ma and Gomez, (2019), and Liu et al (2021) discussed sampling bias in reservoir modeling, which resulted in prediction bias when using spatially...

Implications of elastic full-waveform inversion for northern Red Sea

Kate Glaccum, Denes Vigh, Kai Wang, Xiaoling Tan, Jennifer Qin, Vivian Robertson, Trevor Ferguson

International Meeting for Applied Geoscience and Energy (IMAGE)

... and +/1 second random dithers. The nominal inline separation between the source vessels was 8 km. Peak frequency for the source signatures ranged...

A Volumeter for Measuring Porosity of Incoherent Sands

John C. Ludwick

Journal of Sedimentary Research (SEPM)

... porosity of a natural sand deposit arise from systematic or pattern variations in the area sampled and from random local variations in porosity...

Early Silica Cementation And Subsequent Diagenesis in Arenites From Four Early Proterozoic Iron Formations of North America: DISCUSSION

Charles D. Markun, Anthony F. Randazzo

Journal of Sedimentary Research (SEPM)

... at random angles (Irregular Type I). Postdepositional crystal growth, in combination with impact, can produce separative cracks with spalling (Markun...

ABSTRACT: Geochemistry and Detrital Zircon Geochronology of Upper Paleozoic Loessite within the Ancestral Rocky Mountains: Implications for Paleoclimate; #90012 (2003)

M. J. SOREGHAN, G. S (LYNN) SOREGHAN, M. A. HAMILTON

Search and Discovery.com

... II). The mounted zircon grains were chosen at random for ion-probe analysis and over 500 grains were analyzed in total. Zircons from two Desmoinesian...

Extended Abstract: Uncertainity Analysis in The Sawan Static Reservoir Model and Optimization of Facies Using Neural Network Technology*; #90139 (2012)

Attique ur Rahman and Muhammad Ibrahim

Search and Discovery.com

... model is comprises spatially distributed parameters like facies porosity, permeability and water saturation on a “by Layer” and “by-facies basis” [1...

AAPG Rocky Mountain Section Annual Meeting; - Abstracts, #91212 (2025).

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Micro-CT Analysis of Pores and Organics in Unconventionals Using Novel Contrast Strategies

Andrew Fogden, Thomas McKay, Michael Turner, Rohini Marathe, Tim Senden

Unconventional Resources Technology Conference (URTEC)

...-dry, and 4) stained with iodine. All four tomograms were spatially registered to align perfectly, from which their differences highlighted either...

Spatial Analysis of Basement and Cover Linears by Optical Diffraction - Methods, Results, and Interpretation

Howard J. Pincus, Thomas W. Doe

Utah Geological Association

.... Variability or dispersion in the data should not necessarily be dismissed as “noise”, for this might be of genetic significance. Abbé, Ernst, 1873...

Detailed geophysical measurement of Vs30 for municipal building-code enforcement throughout Las Vegas Valley, Nevada, USA

Aasha Pancha, John N. Louie

International Meeting for Applied Geoscience and Energy (IMAGE)

... directly measured apparently random patches of Class C (green in Figure 1) scattered within the region generally classified as Class D (blue in Figure 1...

Dolomites of the Monterey Formation and Other Organic-Rich Units; Frontmatter and Introduction

Robert E. Garrison, Miriam Kastner, Donald H. Zenger

Pacific Section SEPM

...; it also shows the necessity for carefully controlled as opposed to random sampling. C . M . Isaacs, focusing on disseminated dolomite in Monterey rocks...

Diagenesis, Deformation and Fluid Flow in the Miocene Monterey Formation; Frontmatter and Roadlog

Peter Eichhubl, Richard J. Behl

Pacific Section SEPM

... suggested that fluid migration along fault-fracture meshes may result in the spatially diffuse occurrence of smaller earthquakes, observed as earthquake...

Permeability Multiplier Prediction Utilizing Wide Azimuth 3D OBC Seismic Data; #41349 (2014)

T. Matarid

Search and Discovery.com

... the direction indicates the azimuth of maximum anisotropy. Multiple sets of vertical cracks appear as random azimuths, low interval velocity fast-slow...

Geostatistical Models of Secondary Oil Migration Within Heterogeneous Carrier Beds: A Theoretical Example

Lee Rhea , Mark Person , Ghislain de Marsily , Emmanuel Ledoux , Alain Galli

AAPG Bulletin

...: Journal of Petroleum Technology, v. 42, no. 10, p. 1298-1303. Matheron, G., 1973, The intrinsic random functions and their applications: Advances...

Detailed reservoir characterization of Mesozoic siliciclastic strata for sedimentary geothermal exploration, Colorado Plateau to Basin and Range transition zone, Utah

Ted Morgan, Samuel M. Hudson, Kellen L. Gunderson, Brad Taylor, Cassidy Grover, Levi DeCrescenzo, Derek Ashliman, and Madison Ramos

AAPG Bulletin

... for quantitative permeability prediction: k-nearest-neighbors regression, decision tree regression, random forest regression, and extreme gradient boosting...

Chapter Five: Reservoir Identification

Alistair R. Brown

AAPG Special Volumes

... section has been spatially smoothed, as an alternative to partial stacking, for increase of signal-to-noise ratio. The interpreter can observe...

Joint inversions with the SimPEG framework

Joseph Capriotti, Lindsey J. Heagy, Santiago Soler

International Meeting for Applied Geoscience and Energy (IMAGE)

... Columbia * Geophysical SUMMARY Joint inversions seek to take advantage of the multiple geophysical surveys to produce spatially consistent results...

Surface Seismic Monitoring of Hydraulic Fracturing Activity in Pennsylvania and West Virginia

Abhash Kumar, Erich Zorn, Richard Hammack, William Harbert

Unconventional Resources Technology Conference (URTEC)

... et al. (2015) to detect smaller seismic events obscured by ambient seismic noise. The value of the correlation coefficient can be used to determine...

Geological Controls on Formation Water Salinity Distribution Southeastern Greater Natural Buttes Field, Uinta Basin, Utah; #20213 (2013)

Tuba Evsan, Matthew J. Pranter, and Marc Connolly

Search and Discovery.com

... and salinity vary stratigraphically and spatially. For petrophysical analysis, the study interval was divided into seven stratigraphic zones based on net...

An Interpreter's Guide to Improvements in Depth Imaging Through Model-Based Velocity Estimation and Refinement

Andy Furniss

Indonesian Petroleum Association

... assumption in areas of poor signal to noise or at greater depths where moveout discrepancy is more difficult. Figure 5. Stacking velocity inversion uses...

An Interpreter's Guide to Improvements in Depth Imaging through Model-Based Velocity Estimation and Refinement

Andy Furniss

Petroleum Exploration Society of Australia (PESA)

... in areas of poor signal to noise or at greater depths where moveout discrepancy is more difficult. Both coherency inversion and stacking velocity...

Abstract: CAD, DTM and GIS Tools for Mapping, Modeling and Analysis of Geologic Data: Coastal Erosion and Satellite Tracking of El Nino, by P. J. R. Buttner; #90954 (1995).

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ABSTRACT: Hydrodynamic Fractionation of Grains on the Basis of Density and Shape in Distributive Deepwater Settings: An Experimental Study, by Pyles, David; Straub, Kyle M.; Stammer, Jane; #90142 (2012)

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ABSTRACT: Spatially Variable Natural Fractures and Enhanced Shale Gas Production: A Case Study from the Pierre and Niobrara Formations, Raton Basin, CO; #90122 (2011)

Colin R. O’Farrell, Sarah J. Hawkins, William R. Drake, Hadi P. Soetrisno, and Todd W. Peters

Search and Discovery.com

...ABSTRACT: Spatially Variable Natural Fractures and Enhanced Shale Gas Production: A Case Study from the Pierre and Niobrara Formations, Raton Basin...

Abstract: Carbon Storage Technical Viability Approach (CS TVA) Matrix: Integrating Multiple Components for Comprehensive Scoping and Data Availability Assessments; #91208 (2024)

Julia Mulhern, MacKenzie Mark-Moser, C. Gabriel Creason, Neyda Maymi, Jacob Shay, Araceli Lara, Kelly Rose

Search and Discovery.com

... as specific components within each category. These data can then be combined to spatially summarize GCS technical viability based on the information...