4.6 Article

A Bayesian multivariate model using Hamiltonian Monte Carlo inference to estimate total organic carbon content in shale

Related references

Note: Only part of the references are listed.
Article Computer Science, Interdisciplinary Applications

Dynamic committee machine with fuzzy-c-means clustering for total organic carbon content prediction from wireline logs

Yang Bai et al.

Summary: The study proposed a dynamic committee machine with fuzzy-c-means clustering (DCMF) to predict the total organic carbon (TOC) content in shale reservoirs. DCMF utilizes multiple experts and subtasks decomposition to improve prediction accuracy and model performance.

COMPUTERS & GEOSCIENCES (2021)

Article Geochemistry & Geophysics

Variational inference in Bayesian neural network for well-log prediction

Runhai Feng et al.

Summary: A Bayesian neural network was introduced to improve petrophysical characterization accuracy and quantify model prediction uncertainty. This approach combines neural network capabilities of extracting hidden relations with a probabilistic framework for uncertainty quantification, allowing for effective prediction of missing well logs in datasets.

GEOPHYSICS (2021)

Article Geochemistry & Geophysics

Bayesian petroelastic inversion with multiple prior models

Dario Grana

GEOPHYSICS (2020)

Article Geosciences, Multidisciplinary

An improved method for evaluating the TOC content of a shale formation using the dual-difference ΔlogR method

Linqi Zhu et al.

MARINE AND PETROLEUM GEOLOGY (2019)

Article Geosciences, Multidisciplinary

A rock physics driven Bayesian inversion for TOC in the Fuling shale gas reservoir

Keran Qian et al.

MARINE AND PETROLEUM GEOLOGY (2019)

Article Energy & Fuels

A new method for TOC estimation in tight shale gas reservoirs

Hongyan Yu et al.

INTERNATIONAL JOURNAL OF COAL GEOLOGY (2017)

Article Geochemistry & Geophysics

Estimation of total organic carbon and brittleness volume

Sumit Verma et al.

INTERPRETATION-A JOURNAL OF SUBSURFACE CHARACTERIZATION (2016)

Article Computer Science, Interdisciplinary Applications

Identifying organic-rich Marcellus Shale lithofacies by support vector machine classifier in the Appalachian basin

Guochang Wang et al.

COMPUTERS & GEOSCIENCES (2014)

Article Geochemistry & Geophysics

Hierarchical Bayesian lithology/fluid prediction: A North Sea case study

Kjartan Rimstad et al.

GEOPHYSICS (2012)

Article Geosciences, Multidisciplinary

Application of well log analysis for source rock evaluation in the Duwi Formation, Southern Gulf of Suez, Egypt

Mohamed S. El Sharawy et al.

JOURNAL OF APPLIED GEOPHYSICS (2012)

Article Environmental Sciences

Application of radiometric analysis in the study of provenance and transport processes of Brazilian coastal sediments

C. Carvalho et al.

JOURNAL OF ENVIRONMENTAL RADIOACTIVITY (2011)

Article Energy & Fuels

TOC determination of Gadvan Formation in South Pars Gas field, using artificial intelligent systems and geochemical data

Mehdi Khoshnoodkia et al.

JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2011)

Article Geochemistry & Geophysics

Bayesian lithology/fluid prediction and simulation on the basis of a Markov-chain prior model

Anne Louise Larsen et al.

GEOPHYSICS (2006)

Article Energy & Fuels

Total organic carbon content determined from well logs using ΔLogR and Neuro Fuzzy techniques

MR Kamali et al.

JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2004)

Article Geochemistry & Geophysics

Stochastic reservoir characterization using prestack seismic data

J Eidsvik et al.

GEOPHYSICS (2004)

Article Geosciences, Multidisciplinary

Uranium spectral gamma-ray response as a proxy for organic richness in black shales:: Applicability and limitations

S Lüning et al.

JOURNAL OF PETROLEUM GEOLOGY (2003)

Article Geochemistry & Geophysics

Bayesian linearized AVO inversion

A Buland et al.

GEOPHYSICS (2003)

Article Geochemistry & Geophysics

Prior information and uncertainty in inverse problems

JA Scales et al.

GEOPHYSICS (2001)