Bootstrapping Machine-Learning Based Seismic Fault Interpretation

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ABSTRACT Assembling Probabilistic Performance Parameters of Shale-Gas Wells, #90104 (2010)

Cook Troy; Charpentier Ronald R

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...’s using correlations between distributions, or bootstrapping methods. Recognition of the  variation among probabilistic decline type curves from...

Abstract: Is Surface Monitoring Biased Towards Specific Source Mechanisms?; #90310 (2017)

Pierre Roux

Search and Discovery.com

... geometries, and compared to randomly varying noise distributions following a Gaussian distribution through the bootstrapping method so as to estimate...

Abstract: Interpreting Microseismicity Generated by Hydraulic Stimulation: Is Surface Monitoring Biased Towards Specific Source Mechanisms?; #90319 (2018)

Pierre Roux

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... to randomly varying noise distributions following a Gaussian distribution through the bootstrapping method so as to estimate the detection probability...

Geothermal Assessment and Modeling of the Uinta Basin, Utah

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Abstract: Central Range Continental Transform Fault, Trinidad: Update - New GPS Evidence for Creep, and Geological and Hazard Implications; #90238 (2015)

Chris Churches, John Weber, Richard Robertson, Pete La Femina, Halldor Geirsson, Kenton Shaw, Machel Higgins, and Keith Miller

Search and Discovery.com

... (model parameters given at 1σ uncertainty, determined via the empirical bootstrapping method). The shallow locking depth is well resolved, indicating...

Microseismic Interpretation: Is Surface Monitoring Biased Towards Specific Source Mechanisms?; #42225 (2018)

Pierre F. Roux

Search and Discovery.com

... following a Gaussian distribution through the bootstrapping method so as to estimate the detection probability of each event in the two considered cases...

Stress Inversion using Microseismic Moment Tensors in the Vaca Muerta Shale

Yunhui Tan, Sergio Cuervo, Sahil Malhotra, Shugang Wang

Unconventional Resources Technology Conference (URTEC)

.... The uncertainties are estimated using the statistical bootstrapping method. In addition, the stress inversion results were compared with ISIP (Instantaneous...

The Sun-Moon-Earth Solar-electric Power System to Enable Unlimited Human Prosperity

David R. Criswell

AAPG Special Volumes

.... The facilities (7) can be augmented in size and capability to accommodate additional manufacturing. This process is commonly called bootstrapping...

Sampling Surficial Fluvial Gravels: The Precision of Size Distribution Percentile Estimates

Stephen Rice , Michael Church

Journal of Sedimentary Research (SEPM)

... distribution for fluvial sediments precludes theoretical calculation of percentile standard errors. Bootstrapping is used in this paper to determine...

Using delta channel width to estimate paleodischarge in the rock record: geometric scaling and practical sampling criteria

Octria Adi Prasojo, Anna E. van Yperen, Trevor B. Hoey, Amanda Owen, Richard Williams

Journal of Sedimentary Research (SEPM)

...- and wave-dominated deltas, with no significant relationships identified for tide-dominated deltas. By reverse bootstrapping the channel widths measured from...

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

Pierre-Francois Roux

Unconventional Resources Technology Conference (URTEC)

... following a Gaussian distribution through a bootstrapping method so as to estimate the detection probability of each event in the two considered...

Fabric Pattern in a Basal Till Succession and its Significance for Reconstructing Subglacial Processes

Nicolaj K. Larsen, Jan A. Piotrowski

Journal of Sedimentary Research (SEPM)

... on the fabric strength, and there is no correlation between the fabric strength and clast size within the 0.7-5.6 cm grain-size range. The bootstrapping method...

Multivariate Based Analysis of Methane Adsorption Correlated to TOC and Mineralogy Impact from Different Shale Fabrics

Sayed Ameenuddin Irfan, Nadiah Mohd Azli, Firas A. Abdulkareem, Eswaran Padmanabhan

Unconventional Resources Technology Conference (URTEC)

... bootstrapped sample or training sets while the whole process is known as bootstrapping (Ahmad et al., 2018; Breiman, 2001). DTs are trained on each...

The Comparison between Empirical and Data-driven Computation in Predicting CO and NOx Emissions from Gas-Turbine-Based Power Plant

Tristantyo Yoga Wicaksono, Mordekhai, Nadiyatur Rahmatikal Wasi'ah

Indonesian Petroleum Association

... decision trees followed by bootstrapping. All the ensemble trees generated from the bootstrapping step are then aggregated to produce a majority...

Abstract: Five Dimensional Seismic Data Interpolation; #90171 (2013)

Daniel Trad

Search and Discovery.com

... is the multidimensional Fourier transform (FT) and nd is the dimension of the data. pk is the spectrum of the unknown data, obtained by bootstrapping...

Understanding Unconventional Reservoirs With an Integrated Physics and Machine Learning Based Methods … Case Studies and Novel Approaches From Tight Gas and Tight Oil Reservoir

Gaurav Sharma, Breandan Gaffney, Jaron Van Dijken, Jim Le, Marshall Doig

Unconventional Resources Technology Conference (URTEC)

... to derive some key insights. An example of statistical bootstrapping is shown to quantify the uncertainty of mean EUR for different well spacing bins...

Application of time-lapse full waveform inversion of vertical seismic profile data for the identification of changes introduced by CO2 sequestration

Anton Egorov, Andrej Bóna, Roman Pevzner, Stanislav Glubokovskikh, Konstantin Tertyshnikov

Petroleum Exploration Society of Australia (PESA)

.../bootstrapping time-lapse inversion workflow is used (Asnaashari, et al. 2015, Kamei and Lumley 2017), i.e. the inversion was carried out in two stages...

Fabric Pattern in a Basal Till Succession and Its Significance for Reconstructing Subglacial Processes: Discussion

Johannes Kruger, Kurt H. Kjaer

Journal of Sedimentary Research (SEPM)

... eigenvalues (bootstrapping) is tested on the data set from Kurzetnik because it is drowned in methodological difficulties...

Abstract: 5D Interpolation and Regular Upsampling: Ill-suited or Fit-for-purpose?; #90187 (2014)

Mike J. Perz and Peter W. Cary

Search and Discovery.com

... that a certain frequency bootstrapping trick (which entails using the MWNI result from the lower, unaliased temporal frequencies to guide...

Brachiopod shell discoloration as an indicator of taphonomic alteration in the deep-time fossil record

Sarah E. Kolbe, James J. Zambito IV, Carlton E. Brett, Julia L. Wise, Ryan D. Wilson

PALAIOS

... on 1000 bootstrapping replicates. P 5 white/pink; PB 5 pinkish-black; BP 5 blackishpink; B 5 black. absolute values of r from each of their comparisons...

Describing Difficult Shell-Hash Assemblages from the Lower Cambrian Soltanieh Formation, Alborz Mountains, Northern Iran

Amelia Lindsay-Kaufman, Stephanie A. Rosbach, Lauren S. Wright, Emily L.V. Edwards, Seyed Hamid Vaziri, Mahmoud Reza Majidifard, Tara Selly, Marc Laflamme, James D. Schiffbauer

PALAIOS

... were ultimately useful, detailed explanations and important equations are provided in the Online Supplemental File (text). Following bootstrapping...

Hybridised Weighted Boot-Strap Differential Semblance

Hamish Wilson, Lutz Gross

Petroleum Exploration Society of Australia (PESA)

...both categories then have boot-strapping applied to them. Following the bootstrapping procedure the two categories a re-merged with traces placed in alterna...

Mineralization signatures of the magnetite-dominant Acropolis prospect, Olympic Dam IOCG district, South Australia

Marija Dmitrijeva, Cristiana L. Ciobanu, Kathy J. Ehrig, Andrew V. Metcalfe, Max R. Verdugo-Ihl, Jocelyn McPhie, Nigel J. Cook

Petroleum Exploration Society of Australia (PESA)

... clustering and PCA respectively. In the k-means procedure, the bootstrapping algorithm was used to test the stability of each cluster by calculating...

Abstract: Wide Azimuth Interpolation; #90211 (2015)

Daniel Trad, Jeff Deere, and Scott Cheadle

Search and Discovery.com

..., 3 or 4 for 2D data, common azimuth, or 3D data, respectively. pk is the spectrum of the unknown data, obtained by bootstrapping or iterations...