Geophysical Uncertainty: Often Wrong, But Never in Doubt, by William L. Abriel, #40182 (2005).

Search and Discovery.com

The Battle Against Bayesian Amnesia, #70069 (2009)

Patrick Leach

Search and Discovery.com

...%” Page 2 Bayes’s Law (translated into Oil Patch from the original statistical jargon) • You start with what’s in the ground; what...

Identification of Vuggy Zones in Carbonate Reservoirs from Wireline Logs Using Machine Learning Techniques; #51237 (2016)

Erica Howat, Srikanta Mishra, Jared Schuetter, Benjamin Grove, Autumn Haagsma

Search and Discovery.com

... the different models  Random Forest  Naive Bayes  Logit Boost  Gradient Boosting Machine  Logistic Regression  K-Nearest Neighbor  Support Vector...

Multivariate Pattern Recognition and Classification Methods: Chapter 4

John H. Doveton

AAPG Special Volumes

... of log responses, L? This posterior probability is given by Bayes' theorem as: [EQUATION] where pi is the prior probability of electrofacies i...

How the Upstream Oil and Gas Industry can Leverage Interdisciplinary Research to More Effectively Engage with Indigenous Communities

Deborah Lockhart, Jessica Xu

Australian Petroleum Production & Exploration Association (APPEA) Journal

..., social and governance (ESG) investing principles (Boele and Bayes 2020) and increased activism by institutional investors magnifies the risks...

Optimization and Drilling of Horizontal Wells using a Bayesian Network

John F. Fierstien, Hugh Winkler, Phillip Strauss, Alexander Klokov

Unconventional Resources Technology Conference (URTEC)

... a relative log depth on the stratigraphic column, we can predict the log reading. Bayes’ rule offers a technique for finding the inverse relationships...

Handling Seismic Anomalies on Multiple Targets

Search and Discovery.com

... is an oil target and we estimate that there is only one possible failure condition, brine, due to failure of seal. Bayes’ formula for the modified COS...

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...

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...

"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...

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...

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...

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...

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...

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...

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...

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)

... perpendicular al piano discriminante. Esta proyeccion permite generar una distnbucion de distancia para cada clase, la cual utilizando la regla de Bayes...

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...

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...

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...

Geological and Bioregional Assessments: Assessing Direct and Indirect Impacts Using Causal Networks

Luk J. M. Peeters, Kate Holland, Cameron R. Huddlestone-Holmes

Australian Petroleum Production & Exploration Association (APPEA) Journal

... using Bayes law or through Monte Carlo techniques. Bayesian networks combine a causal network with formal assessment of probabilities (Chen and Pollino...

Uncertainty, Subjectivity and Bias, #120048 (2012)

Andrew Curtis, Matthew Walker

Search and Discovery.com

..., representing the decision point in a usual committee of experts. Figure 3. Top: Application of Bayes Rule to combine prior probabilities (e.g....

Faunal Succession of Norian (Late Triassic) Level-Bottom Benthos in the Lombardian Basin: Implications for the Timing, Rate, and Nature of the Early Mesozoic Marine Revolution

Lydia S. Tackett, David J. Bottjer

PALAIOS

... if the favored models tend to support more change points or not. The Bayes factor for the more simplistic BIC model highly supported the top model over...

Physics-Constrained Deep Learning for Production Forecast in Tight Reservoirs

Nguyen T. Le, Roman J. Shor, Zhuoheng Chen

Unconventional Resources Technology Conference (URTEC)

... five-fold CV (bottom) 6 URTEC-208394-MS Automatic searching methods that are commonly used include grid search, random search, and Bayes search...

ON DRILLING FREQUENCY AND MANLY'S ALPHA: TOWARDS A NULL MODEL FOR PREDATOR PREFERENCE IN PALEOECOLOGY

JANSEN A. SMITH, JOHN C. HANDLEY, GREGORY P. DIETL

PALAIOS

... À Á 1 P ^Bayes . m a À Á 1 P ^Bayes , m a Pref. Group i 5 150 120 2 23 1 1 1 1 16 2 1 0 0 1 0 10 0 0 0 0 7 324 260 5 72 3 3 4 4 73 16 15 1 1 30...