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The AAPG/Datapages Combined Publications Database
Showing 129 Results. Searched 195,405 documents.
Using Seismic Facies to Constrain Electrofacies Distribution as an Approach to Reduce Spatial Uncertainties and Improve Reservoir Volume Estimation, #40768 (2011)
Bruno de Ribet, Pedro Goncalves, Luis H. Zapparolli, Cesar A. Ushirobira,
Search and Discovery.com
... facies for each electrofacies At the well location, within the interval of interest, the seismic facies and electrofacies are paired From Bayes...
2011
COMBINING GEOSTATISTICS AND MULTI-ATTRIBUTE TRANSFORMS: A CHANNEL SAND CASE STUDY, BLACKFOOT OILFIELD (ALBERTA)
B. Russell, D. Hampson, T. Todorov and L. Lines
Journal of Petroleum Geology
... differences between all the pairs of points within a given offset value. By using the Markov-Bayes linear assumption, this variogram will be the only one...
2002
"LITHO" a Computerized Approach to Lithofacies Identification
A. R. Somturk, S. Des Ligneris
Geological Society of Malaysia (GSM)
... as Bayes Decision Rule, is used to classify and assign each depth level to one of the reference lithofacies in the database. The main principle...
1985
Drilling and Completion Anomaly Detection in Daily Reports by Deep Learning and Natural Language Processing Techniques
Hongbao Zhang, Yijin Zeng, Hongzhi Bao, Lulu Liao, Jian Song, Zaifu Huang, Xinjin Chen, Zhifa Wang, Yang Xu, Xin Jin
Unconventional Resources Technology Conference (URTEC)
... optimization were used to overcome the data imbalance. Performance of several machine learning models was evaluated by ROC curve, such as naive bayes, random...
2020
Using the value of information to determine optimal well order in a sequential drilling program
Peter Cunningham, Steve Begg
AAPG Bulletin
... probability and Bayes Law can show nonintuitive optimal solutions to problems.The VoI concept is based on the simple equationwhere Expected Value...
2008
Integrate instead of ignoring: Base rate neglect as a common fallacy of petroleum explorers
Alexei V. Milkov
AAPG Bulletin
... of tests, the geological POS of the next prospect is equal to the exploration success rate (base rate). This is in line with the Bayes’ theorem (e.g....
2017
What to expect when you are prospecting: How new information changes our estimate of the chance of success of a prospect
Frank J. Peel and John R. V. Brooks
AAPG Bulletin
... theory, although it is unclear where it was first formulated. Salkind (2010) noted that it is implicit to Bayes’ theorem (Bayes, 1763) and the theory...
2015
A practical guide to the use of success versus failure statistics in the estimation of prospect risk
Frank J. Peel, and John R. V. Brooks
AAPG Bulletin
..., Special Publications 2004, vol. 239, p. 15–27, doi:10.1144/GSL.SP.2004.239.01.02. Bayes, T., 1763, An essay toward solving a problem in the doctrine...
2016
Implementation of Denoising Diffusion Probability Model for Seismic Interpretation
Fan Jiang, Konstantin Osypov, Julianna Toms
International Meeting for Applied Geoscience and Energy (IMAGE)
..., D., and M. Welling, 2013, Auto-encoding variational bayes: arXiv, 1312.6114 [stat.ML]. Lamb, A, 2021, A brief introduction to generative models...
2023
Averaging Predictions of Rate-Time Models Using Bayesian Leave-Future-Out Cross-Validation and the Bayesian Bootstrap in Probabilistic Unconventional Production Forecasting
Leopoldo M. Ruiz Maraggi, Larry W. Lake, Mark P. Walsh
Unconventional Resources Technology Conference (URTEC)
... of the production data, it applies Bayes’ theorem to compute a probability (weight) for each model based on the value of their maximum likelihood function...
2021
Using Bayesian Leave-One-Out and Leave-Future-Out Cross- Validation to Evaluate the Performance of Rate-Time Models to Forecast Production of Tight-Oil Wells
Leopoldo M. Ruiz Maraggi, Larry W. Lake, Mark P. Walsh
Unconventional Resources Technology Conference (URTEC)
...n inference uses Bayes’ theorem to update and estimate the probability distribution of a hypothesis as more evidence or data is available. In our cas...
2021
Geostatistical models for shales in distributary channel point bars (Ferron Sandstone, Utah): From ground-penetrating radar data to three-dimensional flow modeling
Hongmei Li, Christopher D. White
AAPG Bulletin
...., and A. G. Journel, 1992, Formatting and integrating soft data: Stochastic imaging via the Markov-Bayes algorithm, in A. Soares, ed., Geostatistics Troika...
2003
From Inversion Results to Reservoir Properties, #40869 (2012)
M. Kemper, N. Huntbatch
Search and Discovery.com
... • Statistical connectivity analysis • P90, P50, P10 Net-to-Gross • Probability of being inside a polygon 1. Bayesian Classification Bayes‟ Theorem...
2012
Bayesian artificial intelligence for geologic prediction: Fracture case study, Horn River Basin
S. M Agar, W. Li, R. Goteti, D. Jobe, S. Zhang
CSPG Bulletin
.... The calculations within a BN are developed from Bayes Theorem (Bayes, 1763) and are well established and widely used (see Morgan, 1968; Pearl 1986, 1987, 1988...
2019
Effective Use of High Density VSP Measurements to Predict Pore Pressure and Estimate Mud Weight Ahead of Drilling in the Mahakam Delta, Indonesia
Mohammed Badri, Stephane Gazet, Gregoire de Tonnac
Indonesian Petroleum Association
... the receivers. The fundamental formula in Bayesian inference is Bayes 147 rule. For geophysical application, it is based on prior information...
2005
Decision Making through a Bayesian Network for a Pipeline in Design
Francois Ayello, Guanlan Liu, Jiana Zhang
Australian Petroleum Production & Exploration Association (APPEA) Journal
... and will determine a much more accurate corrosion rate. MRV methodology The MRV methodology is a corrosion assessment framework (model) based on the Bayes’ theorem...
2019
Sequential Simulation for Modeling Geological Structures from Training Images
S. B. Strebelle
AAPG Special Volumes
.... In that respect (conditional independence), Journel has recently established the parallel between the permanence of ratios in equation 7 and Bayes updating...
2006
Análisis de Riesgos Asociados a la Migración y Entrampamiento a Través de Fallas, para las Arenas C-Inferior, Formación Misoa, Campo Bachaquero, Cuenca de Maracaibo [PAPER IN SPANISH] Risk Analysis Associated with Migration and Entrapment Through Fault f
S. Oropeza, N. Hambalek, A. Rojas, M.G. Castillo
Asociación Colombiana de Geólogos y Geofisicos del Petróleo (ACGGP)
... inherentes a la migracion y entrampamiento de hidrocarburos en estructuras falladas, es la determinacion del caracter sellante de las fallas asociadas...
2000
Prediction of 3-D Facies and Petrophysical Models using Seismic Inversion and Advanced Statistical Data Analytics in Midland Basin Study Area
V. Pandey, T. Nekrasova, I. Tsybulkina, K. Clemons, D. Li, B. Six
Unconventional Resources Technology Conference (URTEC)
...., 2017) We can write Bayes’ theory...
2020
Evolution of E & P Risk Analysis (1960-2017), #42063 (2017).
Peter R. Rose
Search and Discovery.com
... for applying Bayes’ Theorem to evolving project values and decisions; F. The Development Sector began adopting many of the probabilistic and statistical...
2017
How to Make Good Decisions Examples From Exploration
Bernhard W. Seubert
Indonesian Petroleum Association
... of drilling a dry well, which incurs a comparatively small “regret cost”. Bayes' Theorem Considered more broadly, the score table and the reasoning behind...
2014
Uncertainty quantification of full-waveform inversion with adaptive MCMC method
Shuhua Hu, Zeyu Zhao
International Meeting for Applied Geoscience and Energy (IMAGE)
... and Biswas, 2017). The probability distribution of model parameter m is based on the Bayes formula that reads (2) P(m|d) ∝ P(d|m)P(m...
2023
Bayesian discriminative classification with kernel density estimation for rock and fluid property characterization of seismic elastic inversion results
Kevin Wolf, Jingfeng Zhang, Matt Walker, Pedro Paramo, Jeff Winterbourne, Reetam Biswas, Atish Roy, Carole Decalf
International Meeting for Applied Geoscience and Energy (IMAGE)
... to train the classifier. A simple Bayes classifier is constructed that is coupled with kernel density estimation used to make nonparametric estimates...
2023
Probabilistic centroid moment tensor inversions using geologically constrained priors: Application to induced earthquakes in the Groningen gas field, the Netherlands
La Ode Marzujriban Masfara, Cornelis Weemstra, Thomas Cullison
International Meeting for Applied Geoscience and Energy (IMAGE)
... THEORY Bayesian inference is the process of using Bayes’ theorem to evaluate the probability of a hypothesis (or model) m given the observed data d...
2023
Comparison of three Bayesian methods for lithofluid facies prediction using elastic properties
Jingfeng Zhang, Kevin Wolf, Anar Yusifov, Matt Walker, Pedro Paramo, Jeffrey Winterbourne, Reetam Biswas, Atish Roy, Qiang Liu, Xingchao Liu
International Meeting for Applied Geoscience and Energy (IMAGE)
..., henceforth referred to as Simple Bayesian, employs Bayes’ theorem (Wolf et al., 2023): p(𝑳𝑭|𝑬) ∝ p(𝑬|𝑳𝑭) ∗ p(𝑳𝑭), (1) where p...
2023