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The AAPG/Datapages Combined Publications Database

Showing 129 Results. Searched 195,452 documents.

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A practical approach for applying Bayesian logic to determine the probabilities of subsurface scenarios: Example from an offshore oilfield

P. Craig Smalley, Christopher D. Walker, and Paul G. Belvedere

AAPG Bulletin

... a practical implementation of Bayes’ rule to update the probabilities of each scenario so that the probabilities are appropriately supported...

2018

Incertidumbre y Valor de Información en Proyectos Exploratorios [PAPER IN SPANISH] Uncertainty and Value of the Information in Exploratory Projects

Rober Yibirin, Juan F. Arminio

Asociación Colombiana de Geólogos y Geofisicos del Petróleo (ACGGP)

... probabilidades y entropías de la variable aleatoria “existencia de una acumulación” son, aplicando el teorema de Bayes: TABLA 2 PROBABILIDADES Y ENTROPÍAS DE LA...

2009

Fuzzy Partitioning Systems for Electrofacies Classification: A Case Study from the Maracaibo Basin

J. J. Finol,, Y. K. Guo, X. D. Jing

Journal of Petroleum Geology

... to be known. This classification criterion is known as Bayes' rule of minimum error (Webb, 1999). Discriminant methods based on the Bayesian decision rule...

2001

Counterfactual uncertainty for high dimensional tabular dataset

Prithwijit Chowdhury, Ahmad Mustafa, Mohit Prabhushankar, Ghassan AlRegib

International Meeting for Applied Geoscience and Energy (IMAGE)

... to select our classifier models to carry out our analysis upon. We have used a Logistic Regresssion model, a Gaussian Naive Bayes, a Random Forest...

2023

Geostatistical and Flow Modeling of Intrareservoir Mudstones

Christopher D. White

Special Publications of SEPM

... is the fraction belonging to family i. The family fractions and parameters were estimated using a method based on Bayes' rule (Fig. 4A-D; White and Willis, 2000...

2004

Geostatistics and Stochastic Modeling: Bridging into the 21st Century

T. C. Coburn, J. M. Yarus, R. L. Chambers

AAPG Special Volumes

... developments have involved various flavors of stochastic simulation, the Markov chain Monte Carlo (MCMC), and the empirical Bayes modeling techniques...

2006

Application of Artificial Intelligence on Black Shale Lithofacies Prediction in Marcellus Shale, Appalachian Basin

Guochang Wang, Yiwen Ju, Timothy R. Carr, Chaofeng Li, Guojian Cheng

Unconventional Resources Technology Conference (URTEC)

... Bayes classifier based on maximum likelihood method, and fuzzy logic, one major problem is the predominant dependence on empirical risk...

2014

The Geochemistry and Microbial Ecology of Produced Waters from Three Different Unconventional Oil and Gas Regions

Kara Tinker, Daniel Lipus, Preom Sarkar, Djuna Gulliver

Unconventional Resources Technology Conference (URTEC)

... to classify the remaining sequences using a pre-trained Naive Bayes classifier trained on Silva 132 99% OTUs (Quast et al., 2012; Yilmaz et al., 2014...

2020

Applying Machine Learning Technologies in the Niobrara Formation, DJ Basin, to Quickly Produce an Integrated Structural and Stratigraphic Seismic Classification Volume Calibrated to Wells

Carolan Laudon, Jie Qi, Yin-Kai Wang

Unconventional Resources Technology Conference (URTEC)

..., and the Bayes factor, which shows the evidence of a statistical relationship between variables by giving a ratio of the likelihood of the data under...

2022

A Play Approach to Hydrocarbon Resource Assessment and Evaluation

L. P. White

AAPG Special Volumes

... into two components. The marginal play probability for each play in which only dry prospects have been drilled is revised according to Bayes formula...

1986

Methods for Estimating Associated Risks of Sinkhole Occurrences: A Demonstration Using Available Data from the Ruhr Valley Region of Germany

Ian Lerche, Christof Lempp

Environmental Geosciences (DEG)

... as follows. Again, use the basic nomenclature developed in the first illustration. What can be shown from Bayes’ principle is that if an event A occurs...

2002

Coal Identification Using Neural Networks with Real-Time Coalbed Methane Drilling Data

Ruizhi Zhong, Raymond Johnson Jr, Zhongwei Chen, Nathaniel Chand

Australian Petroleum Production & Exploration Association (APPEA) Journal

...) predicted shale lithofacies using an ANN from log data. Xie et al. (2018) comprehensively studied different machine learning algorithms (naive Bayes...

2019

A Diagnostic Framework for "Bashed" Wells in Unconventional Reservoirs: A Numerical Simulation and Model Selection Theory Approach

L. Zhe, R. Younis, J. Jiang

Unconventional Resources Technology Conference (URTEC)

...h the prior mode showed in Figure 2 . According to Bayes’ rule, we can infer the probability distribution of the model parameters conditional t...

2016

Stochastic-based Coupling of Static and Dynamic Models: An Example From the Meremac Formation in the STACK Play

Mouin Almasoodi, Soodabeh Esmaili, Trevor Ingle

Unconventional Resources Technology Conference (URTEC)

... is implemented in commercial tools such as CMOST/CMG. Bayesian method is a statistical approach which is based on Bayes’ theory. In this method...

2017

Demystifying Data-Driven Neural Networks for Multivariate Production Analysis

Ayush Rastogi, Karn Agarwal, Ely Lolon, Mike Mayerhofer, Oladapo Oduba

Unconventional Resources Technology Conference (URTEC)

... neural network, fuzzy rules-based system, genetic algorithm) and Machine Learning (decision trees, SVM, Naïve Bayes, kNN, etc.). With an understanding...

2019

Machine Learning Technology to Improve Precision and Accelerate Screening Shallow Gas Potentials in Tunu Shallow Gas Zone, PT Pertamina Hulu Mahakam

Ronald Herbet, Debrina Sugiharto, Cepi M-Adam, Andrean Satria, Khairul Ummah

Indonesian Petroleum Association

... classifiers, namely MLP (Multi Layers Perceptron). Logistic Regression, Gaussian Naive Bayes, KNearest Neighbors, Decision Tree, Random Forest and Extra Trees...

2021

Petroleum Source Rock Study, Miocene Rocks of New Ireland, Papua New Guinea

Miryam Glikson

Circum Pacific Council Publications

.... A. Bayes' (CRES) computer program was used for ini­ tial presentation of reflectance histograms, and the final figures were drawn by A. Murray...

1988

Accretion in Deep Shelf-Edge Reefs, St. Croix, U.S.V.I.

Dennis K. Hubbard, Randolph P. Burke, Ivan P. Gill

Special Publications of SEPM

..., John Bayes, Mick Dominick, Duncan Fitzgerald, William Lang, Douglas Levin, Mark Lorang, Steven McGowan, Arnie Miller, James Sadd, William...

1985

Application of Bayesian Optimized Deep Bi-LSTM Neural Networks for Production Forecasting of Gas Wells in Unconventional Shale Gas Reservoirs

Y. Kocoglu, S. Gorell, P. McElroy

Unconventional Resources Technology Conference (URTEC)

...shore Technology Conference Asia 2020, OTCA 2020. https://doi.org/10.4043/30332-ms Mockus, J. (1975). On the Bayes Methods for Seeking the Extremal Point....

2021

Borehole Image Tool Design, Value of Information, and Tool Selection

Javier O. Lagraba P., Steven M. Hansen, Mirano Spalburg, Mohammed Helmy

AAPG Special Volumes

... and the Bayes equation to calculate the two realization probabilities after borehole imaging data interpretation. An example based on the above...

2010

Applications of Artificial Intelligence in Log Analysis: Chapter 7

John H. Doveton

AAPG Special Volumes

... network and three other methods. Use of a Bayes' classifier, -nearest neighbor classifier, linear discriminant function, and the neural network all made...

1994

Energy Resources of the Uinta Basin, Utah; Frontmatter, Reference Material, Selected Biography

Duane L. Whiting

Utah Geological Association

... No. 31, 1970. Carmen, E.P. (and F.S. Bayes) — Occurrence, properties and uses of some natural bitumens: U.S. Bur. Mines Inf. Circ. 7997, 42 p., 1961...

1974

Sedimentology, Statistics, and Flow Behavior for a Tide-influenced Deltaic Sandstone, Frontier Formation, Wyoming, United States

Christopher D. White, Brian J. Willis, Shirley P. Dutton, Janok P. Bhattacharya, Keshav Narayanan

AAPG Special Volumes

... computed directly from observations. These models are composite length distributions, the sum of two termination-frequency models determined by Bayes' rule...

2004

The role of fluid pressure and diagenetic cements for porosity preservation in Triassic fluvial reservoirs of the Central Graben, North Sea

Binh T. T. Nguyen, Stuart J. Jones, Neil R. Goulty, Alexander J. Middleton, Neil Grant, Alison Ferguson, Leon Bowen

AAPG Bulletin

... Survey of Canada Bulletin 544, p. 109124.Keller, T., R. Bayes, H. Auld, and M. Lines, 2005, Judy field: Rejuvenation through a second phase of drilling...

2013

Energy Resources and Geologic Overview of the Uinta Basin, Utah: Road Logs, Reference Data, Bibliography

Galen W. Williams, Duane L. Whiting

Utah Geological Association

... Special Studies No. 31, 1970. Carmen, E.P. (and F.S. Bayes) — Occurrence, properties and uses of some natural bitumens: U.S. Bur. Mines Int. Circ...

1983

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