Abstract:

In terms of the quality problem of well logging and well testing data, the authors of this paper put forward a new data cleaning method based on clustering analysis and nerve network prediction technology with the method, the missing data in well logging data and well testing data are firstly checked up, clustering analysis adopted to classify the data that don't exist missing data, and then ant colony clustering analysis and neutral network study are carried on to correct the wrong data and fill in the missing data. The data cleaning method is proved to have good effects in the application of well testing analysis.

Key words: well logging data, well testing data, data cleaning, fuzzy clustering, ant colony algorithm, neutral network