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The AAPG/Datapages Combined Publications Database

Showing 129 Results. Searched 195,354 documents.

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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

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

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

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 Bayestheorem. The classifier calculates...

2019

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

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

Using Bayesian Belief Networks to Evaluate Continuous Gas Resources (Shale Gas, Tight Gas, and Coal Bed Methane): Tools to Calibrate the Expert and Exploit Knowledge; #40571 (2010)

Kurt J. Steffen

Search and Discovery.com

... p(Depth|Area,Width) Bayestheorem allows us to calculate p(Depth|Area,Width) using the Belief Network shown above. Therefore we can build a single...

2010

A New Approach for Production Forecasting from Individual Layers in Multi-Layer Commingled Tight Gas Reservoirs

Katarina Van Der Haar (nee Kosten), Manouchehr Haghighi

Australian Petroleum Production & Exploration Association (APPEA) Journal

... will be used. It uses Bayestheorem (Eqn 2) to update and estimate the probability distribution of a parameter after data is observed (Paryani et al...

2022

Maximizing Recoverable Reserves in Tight Reservoirs Using Geostatistical Inversion From 3-D Seismic: A Powder River Basin Case Study

Haihong Wang, Howard J. Titchmarsh, Kevin Chesser, Jeff Zawila, Samuel Fluckiger, Gary Hughes, Preston, Kerr, Andrew Hennes, Michael Hofmann

Unconventional Resources Technology Conference (URTEC)

...theorem is a statistical tool used to manipulate conditional probabilities. Mathematically, Bayestheorem defines the relative weight given to prior...

2015

A Quantitative and Probabilistic AVO Approach for Better Characterizing a Complex Oil and Gas Field in the Kutei Basin, Indonesia

M. Cardamone, A. Santagostino, B. Tambunan

Indonesian Petroleum Association

.... simple parametrical distributions (e.g. Gaussian/Cauchy) ℘(I,G | Fk) are fit to each set. Bayes theorem is applied to derive the probability P(Fk | I...

2003

Improved carbonate reservoir characterization using formation density derived from prestack simultaneous inversion: A case study in West Kuwait

Rajesh Rajagopal, Alanood Al Otaibi, Mohamed Hafez A. Jaseem, Taiwen Chen, Bahrouh Bader Faisal

International Meeting for Applied Geoscience and Energy (IMAGE)

... facies, Bayes theorem simply states that the probability at a certain facies at a particular point on the cross plot, is the data density of points...

2023

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

Bayesian Probabilistic Analysis to Quantify Uncertainties in Hydraulic Fracture Geometry - Application to Laminations and their Impact on Fracture Height

Mohit Paryani, Ahmed Ouenes

Unconventional Resources Technology Conference (URTEC)

... inference to the deterministic frac design models, the design parameters are linked to the Bayes theorem by assuming the prior distribution...

2019

Integrated Fluid Analysis Technique to Improve Evaluation on Fluid Potential in Downthrown Structure Prospect (Paper P32)

T. A. Tiur Aldha, G. T. Gunawan Taslim

Geological Society of Malaysia (GSM)

... us to investigate the uncertainty in AVO predictions. By using Bayestheorem, probability maps were then produced for different potential pore fluids...

2012

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

Petroleum Reserves: A Proposal for Methodology and Classification

Jean M. Bourdaire, Ronald Pattinson

Indonesian Petroleum Association

... Bayes theorem applies to subjective probabilities. It explains why and how our information, i.e. our expertise, is filtered and summarized into our...

1985

New Joint Categorical/Continuous Simultaneous Inversion Technology (Paper C9)

M. Kemper

Geological Society of Malaysia (GSM)

... regularization. BayesTheorem in this case can be written as: π(Z|Sreal) ≈ L(Sreal|Z) p(Z) [5] Where π is the posterior distribution, L the likelihood...

2012

An Ensemble-Based History Matching Approach for Reliable Production Forecasting from Shale Reservoirs

Usman Aslam, Rafel M. Bordas

Unconventional Resources Technology Conference (URTEC)

..., given the forward model and the history data, is calculated using Bayestheorem. The first step is to assign a prior probability distribution...

2020

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 Bayestheorem (e.g....

2017

Multivariate fracture intensity prediction: Application to Oil Mountain anticline, Wyoming

Jason A. McLennan, Patricia F. Allwardt, Peter H. Hennings, Helen E. Farrell

AAPG Bulletin

...., 2002, Short note: Naive Bayes classifiers and permanence of ratios: Center for Computational Geostatistics (CCG) Report 4, 12 p.Sanders, C., M...

2009

Multi-realization seismic data processing with deep variational preconditioners

Matteo Ravasi

International Meeting for Applied Geoscience and Energy (IMAGE)

... with the help of BayesTheorem; the posterior distribution can be defined up to its normalizing constant as, p(x|d)α pε (d|x)px (x), where pε (d|x...

2023

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