Summary(the first three parts)

The main idea of this paper is to realize the Reservoir characterization.

It describes how one integrates a comprehensive methodology of data mining techniques and artificial neural network (ANN) in reservoir properties prediction and regeneration, especially in pseudo density log generation.

ANN is a machine-learning model to establish a model for analyzing experimental, industrial and field data.

Data mining technique is better than manual stratigraphic interpretation (labor intensive and time consuming).

The study obtains porosity by three steps:

1.     Preprocess the log data;

2.     Recognize pattern and interpret stratigraphic information;

3.     Choose a similar pattern as input to generate pseudo-density log using ANN.

Figure below is the workflow of pseudo density log generation. The results of three components will

predict actual density log.