Evaluation of Mineralogy per Geological Layers by Approximate Bayesian Computation

  title={Evaluation of Mineralogy per Geological Layers by Approximate Bayesian Computation},
  author={Vianney Bruned and Alice Cleynen and Andr{\'e} Mas and Sylvain Wlodarczyck},
  journal={SPE Journal},
We propose a new three-step methodology to perform an automated mineralogical inversion from wellbore logs. The approach is derived from a Bayesian linear-regression model with no prior knowledge of the mineral composition of the rock. The first step makes use of approximate Bayesian computation (ABC) for each depth sample to evaluate all the possible mineral proportions that are consistent with the measured log responses. The second step gathers these candidates for a given stratum and… 


Hierarchical Bayesian lithology/fluid prediction: A North Sea case study
Seismic 3D amplitude variation with offset (AVO) data from the Alvheim field in the North Sea are inverted into lithology/fluid classes, elastic properties, and porosity. Lithology/fluid maps over
An Automatic Porosity And Saturation Evaluation Based On the Inversion of Multiple Well Logs
We propose an automated method for inference of porosity and saturation, which can be used for quickly assessing reservoir rock quality and fluid volumes. The method is based on the inversion of
Bayesian rock classification and petrophysical uncertainty characterization with fast well-log forward modeling in thin-bed reservoirs
ABSTRACTRock typing is critical in deepwater reservoir characterization to construct stratigraphic models populated with static and dynamic petrophysical properties. Rock typing based on multiple
Synthetic And Field Examples Of The Bayesian Stochastic Inversion Of Gamma-Ray, Density, And Resistivity Logs
Assessment of porosity and hydrocarbon saturation across thinly-bedded rock formations is challenging because of ubiquitous shoulder-bed effects on well logs. Previously, we documented field examples
Bayesian linearized rock-physics inversion
ABSTRACTThe estimation of rock and fluid properties from seismic attributes is an inverse problem. Rock-physics modeling provides physical relations to link elastic and petrophysical variables. Most
Hydrocarbon-bearing shale has become a major source of energy in recent years. Assessment of rock properties is extremely important in source rocks because of pervasive heterogeneity, thin beds, and
A Coherent Framework For Developing And Applying Multiple Formation Evaluation Models
Log analysis is one example of a geophysical inverse problem in which several models may be computed and examined simultaneously and individual models are then assigned a probability in each formation or electrofacies.
Approximate Bayesian computational methods
In this survey, the various improvements and extensions brought on the original ABC algorithm in recent years are studied.
Inverse problems: A Bayesian perspective
The Bayesian approach to regularization is reviewed, developing a function space viewpoint on the subject, which allows for a full characterization of all possible solutions, and their relative probabilities, whilst simultaneously forcing significant modelling issues to be addressed in a clear and precise fashion.
Hierarchical Density Estimates for Data Clustering, Visualization, and Outlier Detection
An integrated framework for density-based cluster analysis, outlier detection, and data visualization is introduced, consisting of an algorithm to compute hierarchical estimates of the level sets of a density, following Hartigan’s classic model of density-contour clusters and trees.