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The AAPG/Datapages Combined Publications Database
Showing 3,665 Results. Searched 200,616 documents.
Efficient subsurface carbon storage modeling with Fourier neural operator
Suraj Pawar, Pandu Devarakota, Faruk O. Alpak, Jeroen Snippe, Detlef Hohl
International Meeting for Applied Geoscience and Energy (IMAGE)
... appending zeros to ℛ ∙ ℱ(𝑧 ) to fill in the truncated modes. We note here that the bias term is added to the output of each of the Fourier layers...
2023
Sensitivity-based data reduction of large 3D DC/IP surveys
Sarah G. R. Devriese, Robert G. Ellis, Ken E. Witherly
Petroleum Exploration Society of Australia (PESA)
... in the dataset). Non-uniform coverage may result from a survey design that includes directional bias or oversampling in one region and undersampling...
2019
Fracture Systems of Mars
E. L. Harp
Utah Geological Association
... and the digital computer are subject to the following types of bias: Positive bias (mapping non-tectonic features) seeing a predicted pattern mapping...
1974
Evaluation of AI-enhanced processing for automated passive seismic detection and location
Aaron Booterbaugh, Evgeny Naumov
International Meeting for Applied Geoscience and Energy (IMAGE)
.... To minimize the impact errors and bias, we utilize high quality travel-time models and ensure a consistent model is used through final relocation...
2024
A Data-Driven Modeling Methodology to Support Unconventional Reservoir Development Decisions: Application to the STACK Play in Oklahoma
Mac Burton, Sebastien Matringe, Trevor Atchison, Marion Houser, Andrew Munoz, Mo Taing
Unconventional Resources Technology Conference (URTEC)
... collinearities and identify outliers. In most multivariate modeling workflows, highly collinear data will bias the model, so it must be handled...
2019
A Method for Determining the Randomness of Regionally Distributed Quantitative Geologic Data
R. A. Cadigan
Journal of Sedimentary Research (SEPM)
... of the possibility of a personal bias favoring either randomness or nonrandomness. A method used successfully with heavy-mineral data for obtaining...
1962
An Appraisal of the Significance of Sieve Intervals in Grain Size Analysis for Environmental Interpretation
John R. Hails, Barry Seward Thompson, Lynne Cummings
Journal of Sedimentary Research (SEPM)
... and graphical methods, comparatively few researchers have evaluated in any detail the problem of random operator error and to a lesser degree, operator bias...
1973
Uncertainty Analysis in Reservoir Characterization and Management: How Much Should We Know About What We Don't Know?
Y. Zee Ma
AAPG Special Volumes
... by the quantity and quality of data and are prone to cognitive biases, especially a confirmation bias (Ma, 2010). As such, interpreted results also...
2011
The Effects of Callianassa Bioturbation on the Preservation of Carbonate Grains in Davies Reef Lagoon, Great Barrier Reef, Australia
Alexander W. Tudhope, Terence P. Scoffin
Journal of Sedimentary Research (SEPM)
..., and second, the combination of continuous fine-sediment recycling and surface microboring can lead to a bias in the fossil-reefal limestone record...
1984
Responsibility of The Petroleum Professional to Participate in Public Affairs: GEOLOGICAL NOTES
Michel T. Halbouty
AAPG Bulletin
..., that is what they are. So, they are expected to be generally biased on subjects affecting their membership. But this bias is not expected...
1964
Detrital Zircon Geochronology of Taconian and Acadian Foreland Sedimentary Rocks in New England
S.M. McLennan ,, B. Bock , W. Compston , S.R. Hemming , D.K. McDaniel
Journal of Sedimentary Research (SEPM)
... of sampling bias if detrital zircons are not randomly selected for U-Pb analysis. The 0.47-0.42 Ga population is consistent with derivation from rocks...
2001
Quantitative assessment of karst pore volume in carbonate reservoirs
Fermín Fernández-Ibáñez, Paul J. Moore, and Gareth D. Jones
AAPG Bulletin
..., fill, and sampling bias. We present nomograms to facilitate fast practical estimates of karst abundance and porosity, as well as cave area estimates...
2019
Abstract: A Faster, More Accurate Gaussian Simulation; #90172 (2014)
Colin Daly, Sandra Quental, Darcy Novak
Search and Discovery.com
... option with GRFS, the user will notice that there isn’t any systematic bias in the degree of variability of the simulated variable...
2014
Abstract: Ti Concentrations in Zircon from the Boggy Plain Zoned Pluton; Implications for Zircon Petrology and Hadean Tectonics; #90172 (2014)
Ryan B. Ickert, Ian S. Williams
Search and Discovery.com
... may be the result of either sampling bias and/or a non-monotonic P-T-X history of the magma chamber during zircon crystallization. Titanium...
2014
Abstract: Application of Class-Based Machine Learning for Automated Well Log Interpretation; #91204 (2023)
Mohammed Al-Jubouri, Wassem Alward, Ling Zongfa, Xu Xiaori, Xu Wei, and Zhao Yufang
Search and Discovery.com
... process, reduced analyst bias and improved consistency result between one well to another within the same field. Hosted by Conference Organisers...
2023
Threshold Effects on Prospect Risking; #110120 (2010)
Rocky Roden, Mike Forrest, Roger Holeywell
Search and Discovery.com
... Interpretation bias Possible causes of Low Pg Threshold Effect in any company DHI prospect database: Data quality or lack of data becomes critical...
2010
New Method for Seismic Identification of Fluid Conduits or Barriers Challenges Several Industry Paradigms; #120083 (2013)
Ralf Oppermann
Search and Discovery.com
... and achieves higher reliability compared to manual fault mapping and removes potential model-bias of an Interpreter. Automated fracture extraction...
2013
Porosity and Permeability Estimation using Neural Network Approach from Well Log Data, #41276 (2014)
Akhilesh K. Verma, Burns A. Cheadle, Aurobinda Routray, William K. Mohanty, Lalu Mansinha,
Search and Discovery.com
... is connected to other layers by weights. Thus the output of the system is a non-linear function of the weighted sum of the inputs plus a bias. Architecture...
2014
Bridging the Gap to Unconventional Permeabilitys: Insights to Unconventional Tight Oil Techniques, Advancements and Understandings, #80677 (2019).
Stephanie E. Perry, Ruben Lopez
Search and Discovery.com
... Vendor 1 Vendor 2 • Now we have inter-dependency and analytical instrumentation Bias? Porosity (v/v) Crushed Rock permeability versus routine plug...
2019
Randomness, serendipity, and luck in petroleum exploration
Alexei V. Milkov, and William C. Navidi
AAPG Bulletin
.... Petmezas, 2007, Acquisitions, overconfident managers and self-attribution bias: European Financial Management, v. 13, no. 3, p. 531–577, doi...
2020
The Challenge of Professionalism in Geological Education
D. N. Miller, Jr.
Earth Science Bulletin (WGA)
... that more is accomplished in a given period of time. It is well to point out that personal bias is not necessarily detrimental to sound interpretation...
1969
Prediction of the Flowing Bottom-Hole Pressure Using Advanced Data Analytics
Mahshid Firouzi, Suren Rathnayake
Unconventional Resources Technology Conference (URTEC)
... squares. Penalization techniques have been proposed to improve the OLS estimates; for example, to improve predictions through bias-variance trade-off...
2019
Extended Abstract: Cost-Effective Directional Drilling and Logging-While-Drilling Operational/Maintenance Model Aids an East Africa Operator to Deliver Its Remote Location Exploration Campaign
Iain Lunney
Africa Energy and Technology Conference, 2016
... sensor. The responsive inclusion of the survey management team allowed a bias to be applied to the raw directional measurements to correct...
2016
Methods for Determining Interwell Facies Boundaries (and Constraining Geostatistical Correlation)
Paul M. Mitch Harris
West Texas Geological Society
... dimensions are necessary for constructing variograms, designing templates for attribute distribution, and indicating directional bias for interpolation...
1998
Solution Porosity of Dolomites in the Calcareous - Phosphatic Facies of the Monterey Formation, Pismo Basin, California
R.C. Surdam, D. Prezbindowski, R.I. Kablanow
Special Publications of SEPM
... in the figures, dissolution is compositionally selective. Thus, in dolomites that have undergone some dissolution there will be a compositional bias...
1984