Unsupervised and supervised learning in cascade for petroleum geology
Cascade of unsupervised and supervised learning algorithms are suitable in all those
problems where there are large unlabelled input datasets and the underlying data structure …
problems where there are large unlabelled input datasets and the underlying data structure …
FMI image based rock structure classification using classifier combination
Abstract Formation Micro Imager (FMI) can directly reflect changes of wall stratums and rock
structures, and is an important factor to classify stratums and identify lithology for the oil and …
structures, and is an important factor to classify stratums and identify lithology for the oil and …
Data-Driven Algorithms for Image-Based Rock Classification and Formation Evaluation in Formations With Rapid Spatial Variation in Rock Fabric
Supervised learning algorithms can be employed for the automation of time-intensive tasks,
such as image-based rock classification. However, labeled data are not always available …
such as image-based rock classification. However, labeled data are not always available …
Automatic cluster selection using index driven search strategy
Clustering is the task of categorizing objects into different classes in an unsupervised way.
Hierarchical clustering algorithms are usually very effective in detecting the dataset …
Hierarchical clustering algorithms are usually very effective in detecting the dataset …
Integrating clustering and classification techniques: A case study for reservoir facies prediction
The need for integration of different data in the understanding and characterization of
reservoirs is continuously growing in petroleum geology. The large amount of data for each …
reservoirs is continuously growing in petroleum geology. The large amount of data for each …
Spot detection in images with noisy background
D Ferraretti, L Casarotti, G Gamberoni… - Image Analysis and …, 2011 - Springer
One of the most recurrent problem in digital image processing applications is segmentation.
Segmentation is the separation of components in the image: the ability to identify and to …
Segmentation is the separation of components in the image: the ability to identify and to …
Clustering and classification techniques for blind predictions of reservoir facies
The integration of different data in reservoir understanding and characterization is of prime
importance in petroleum geology. The large amount of data for each well and the presence …
importance in petroleum geology. The large amount of data for each well and the presence …