Sentence examples for reservoir recognition from inspiring English sources

In this sense, class imbalance is ubiquitous and prevalent in several applications such as microarray research [6], medical diagnosis [7], oil-bearing of reservoir recognition [8], or intrusion detection systems [9].

KNN (K-Nearest Neighbors) clustering in machine learning is a very efficient clustering method applied in lithology identification, reservoir type recognition, flow unit classification and so on, but it is not working consistently because of its inherent limitation, like its initial center selection and clustering center shift caused by outliers.

Using pressure derivative data is advantageous for accurate reservoir model recognitions (Onur and Reynolds 2001).

Reservoir characterization and recognition of the main factors controlling the reservoir quality has a significant share in presenting a real picture of the reservoir properties.

The aim of this study is to apply the artificial neural network (ANN) to the recognition of the reservoir model.

The well testing method consists of two stages: (1) the recognition of the reservoir model, and (2) the parameter estimation.

There are many classification problems in petroleum reservoir characterisation, an example being the recognition of lithofacies from well log data.

As a result, recognition and measurement of reservoir parameters under the action of elastic waves is more complicated and volatile.

These modifications include the relatively high prevalence of biogas toilets and the recognition that bovines are reservoir hosts whose stool needs to be managed.

Methods for antigenic and genetic identification of rabies samples isolated in the Americas have contributed effectively to the development of health programs, as well as recognition of possible wild reservoirs of urban rabies.

The starting point in system behavior recognition is generating a static reservoir model.