Title :
Peak depth correction of logging curves based on Hausdorff distance
Author :
Shang, Fuhua ; Wang, Hui ; Ma, Nan
Author_Institution :
Dept. of Comput. & Inf. Technol., Northeast Pet. Univ., Daqing, China
Abstract :
An effective method of peak depth correction based on the Hausdorff distance is put forward in this paper. The automatic identification of logging curve peak made up the blank of automated processing of logging curve peak depth correction. In this method, the reasonable peak is selected by using the extremum and variable sequence analysis method, and the position of similar curve segment is selected according to the bidirectional Hausdorff distance, then the best matching peak is defined through computing the unidirectional Hausdorff distance. Finally, the peak depth correction of logging curves is computed. The experimental results demonstrate that the method of peak depth correction has better speed and high accuracy, and it provides reliable and accurate data for petroleum reservoir development.
Keywords :
hydrocarbon reservoirs; mathematical analysis; petroleum industry; well logging; automated processing; automatic identification; bidirectional Hausdorff distance; logging curve; peak depth correction; petroleum reservoir development; unidirectional Hausdorff distance; variable sequence analysis method; Book reviews; Hausdorff Distance; natural gamma curve; peak depth correction; variable sequence analysis;
Conference_Titel :
Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6539-2
DOI :
10.1109/ICACTE.2010.5579667