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...

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

Abstract: Sampling Methods to Determine Optimal Models, Model Resolution and Model Choice in Earth Science Modelling Problems, by Kerry Gallagher, Soren Nielsen, Karl Charvin, John Stephenson, Malcolm Sambridge, and Chris Holmes; #90066 (2007)

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Abstract: Tradeoffs in 3D Seismic Acquisition Between Shallow and Deep Objectives or Value of 3D High Density (Infill) Seismic Survey to Improve Economic Results of CBM Wells from Cow Creek Unit, by N. J. House; #90092 (2009)

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Almond Formation Lithostratigraphic Genetic Units, Greater Wamsutter Field, Southwest Wyoming: Phase III: From Iterative Geostatistical Approach to High-Grading Well Locations, by Natasha M. Rigg and Jeffrey M. Yarus, #50159 (2009).

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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 Bayes’ theorem. The first step is to assign a prior probability distribution...

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 Bayes’ theorem (Eqn 2) to update and estimate the probability distribution of a parameter after data is observed (Paryani et al...

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, Bayes’ theorem defines the relative weight given to prior...

Integrating deep directional resistivity with machine learning for improved well placement in the Nikaitchuq Field, North Slope Alaska

Christopher McCullagh, Joshua Zuber

International Meeting for Applied Geoscience and Energy (IMAGE)

... are included, Naïve Bayes being the exception. Table 1: Classification accuracy of each ML model with different training datasets. Case Studies...

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...

The Value of CSEM Data in Exploration "Best of EAGE", #40885 (2012)

Arild Buland, Lars Ole Løseth, Andreas Becht, Malgven Roudot, Tage Røsten,

Search and Discovery.com

... additional information. The modified (posterior) probability for a geological scenario Si after risk modification is given by Bayes law as P ( Si | D...

Determination of Potential Yield and Volatile Hydrocarbons from Well Logs in Potential Source Rocks

J. L. Lin, H. A. Salisch

Southeast Asia Petroleum Exploration Society (SEAPEX)

...] were studied by means of cross-plots and correlation analysis. Bayes multi-group discriminant analysis was used to determine the rock categories...

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...

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 Bayes’ theorem, probability maps were then produced for different potential pore fluids...

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...

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

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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...

Multi-realization seismic data processing with deep variational preconditioners

Matteo Ravasi

International Meeting for Applied Geoscience and Energy (IMAGE)

... with the help of Bayes’ Theorem; 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...

Probabilistic seismic interpolation with the implicit prior of a deep denoiser

Matteo Ravasi

International Meeting for Applied Geoscience and Energy (IMAGE)

... algorithm capitalizes on the property of a poorly known statistical theorem stating that ‘a minimum mean squared error denoiser acting on signals corrupted...

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...

Risk Reduction for Effectively Increasing Drilling Efficiency in the Thin Reservoirs of the Three Forks of the Williston Basin. A Case Study Employing a Geostatistical Seismically Constrained Subsurface Geomodel

Inna Tsybulkina, Cesar Marin, Kevin Chesser, Shane Mogensen, Samuel D. Fluckiger

Unconventional Resources Technology Conference (URTEC)

... density functions (PDFs). Bayes’ theorem represents a tool for defining the conditional probability which allows combining various pdfs into a global...

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

M. Kemper

Geological Society of Malaysia (GSM)

... regularization. Bayes’ Theorem 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...

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...