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The AAPG/Datapages Combined Publications Database

Showing 129 Results. Searched 195,354 documents.

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Abstract: The Probability Problems in the Prospect Appraisal

Hsu Yeong-Yaw

Geological Society of Malaysia (GSM)

... parameters are the subjective geological judgement of the analyst; however, by the Bayes' rule, the latest new objective information can...

1987

Probability Problems in Prospect Appraisal

Hsu Yeong-Yaw

Geological Society of Malaysia (GSM)

... geological judgement of the analysis; however, by the Bayes' rule, the latest new objective information can be incorporated into the original estimation...

1988

Evaluation of Machine Learning Methods for Automatic Facies Classification As a Tool for Determining Sandstone and Limestone Reservoir

Irvan Rahadian Putra, M. Irsyad Hibatullah, Christopher Salim, Firman Syaifuddin

Indonesian Petroleum Association

... objects based on its unique features. This specific machine learning model is a probabilistic model that follows the Bayes theorem, where the probability...

2019

Bayesian Updating of Toxic Leakage Scenarios

Ian Lerche

Environmental Geosciences (DEG)

... leakage events. Bayes, T. (1783). An essay towards solving a problem in the doctrine of chances. Phil Trans Roy Soc, 53, 370–418. One of the major...

2001

Ranking DHI attributes for effective prospect risk assessment applied to the Otway Basin, Australia

Sebastian Nixon, Tony Hallam, Andrew Constantine

Petroleum Exploration Society of Australia (PESA)

... in ranking drilling opportunities. We demonstrate how we apply our understanding of DHI statistics from the Otway Basin, using Bayes' theorem. Key...

2018

ABSTRACT: Application of Novel Machine Learning Algorithms for Facies Classification; #90115 (2010)

Olivier Malinur and Cyril U. Edem

Search and Discovery.com

..., Support Vector Machine, C4.5 Classification Trees, Naïve Bayes, Random Forest and CN2 Rule inducer. We also introduced Hierarchical Cluster Analysis...

2010

Machine Learning Approach in Identifying Wellbore Integrity Issue from Drilling Reports in Mahandini Field

Ragil S. Wardana, Rio Afriyanto, Dian S. Nasution

Indonesian Petroleum Association

... with relatively small number of datasets. Naïve Bayes algorithm is a probabilistic classifier based on the Bayes’ theorem. The classifier calculates...

2019

Microseismic Without Dots … Probabilistic Interpretation and Integration of Microseismic Surveys

Ulrich Zimmer

Unconventional Resources Technology Conference (URTEC)

... all information is represented by PDFs, Bayes theorem can be effectively used to integrate this information consistently. It also allows...

2017

ABSTRACT: A Review of Applications of Artificial Intelligence for Predictive Analysis in Petrophysics - Practical Example Using Symbolic Regression; #90115 (2010)

Olivier Malinur

Search and Discovery.com

... Bayes analysis coupled with the use of nomograms turns as extremely powerful in stochastic prediction. Some methods focus on retrieving underlying...

2010

Abstracts: Seismic Lithology Prediction A Montney Shale Gas Case Study; #90173 (2015)

John Nieto, Franck Delbecq, and Bogdan Batlai

Search and Discovery.com

... could be further enhanced by creating Lithocubes with the above classification. The technique used here was based on Bayes Theorem and combined...

2015

Abstract: Geologic Risking with Bayesian Methods: Fracture Case Study in an Unconventional Setting; #90319 (2018)

Susan M. Agar, Weichang Li, Rajesh Goteti, T. Dawn Jobe, Yan Zaretskiy, Shuo Zhang

Search and Discovery.com

... classes. Further nodes serve as “symptoms” of fractures and can be used for validation. The node states of the Bayes net can be defined by data...

2018

The Machine Learning's Classification Methods Comparison to Estimate Electrofacies Type, Lithology and Hydrocarbon Fluids from Geophysical Well Log Data

Dimas Andreas Panggabean, Jihan Hardiyanti Arief, Lucky Kriski Muhtar, MN Alamsyah

Indonesian Petroleum Association

... Classifier (NB) is a classification technique based on the Bayesian Theorem. Naïve Bayes Classifier assumes that all features in the classification...

2021

Abstract: Stabilizing Seismic Absorption Compensation; #90171 (2013)

Changjun Zhang

Search and Discovery.com

.... Statistical inversion theory is, commonly, based on Bayes's Theorem. Because in an inverse problem, we always have observed data d , p(m | d...

2013

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