TY - GEN
T1 - Classification of Polish shale gas boreholes using measurement data
AU - Radzikowski, Kacper Pawel
AU - Nowak, Robert
AU - Arabas, Jarosł'aw
AU - Budak, Paweł
AU - Łätkowski, Piotr
PY - 2016/1/1
Y1 - 2016/1/1
N2 - In this article we propose the algorithm for computing the degree of similarity between two shale gas boreholes. The algorithm uses data and measurements from already existing and examined boreholes, and uses K-nearest neighbours algorithm for calculating the similarity between each known borehole, and a new borehole, as a form of classification. Several experiments were conducted, in order to assess the complexity and correctness of the algorithm. This article describes the proposed method, and the experiments, as well as results.
AB - In this article we propose the algorithm for computing the degree of similarity between two shale gas boreholes. The algorithm uses data and measurements from already existing and examined boreholes, and uses K-nearest neighbours algorithm for calculating the similarity between each known borehole, and a new borehole, as a form of classification. Several experiments were conducted, in order to assess the complexity and correctness of the algorithm. This article describes the proposed method, and the experiments, as well as results.
KW - database
KW - K-nearest neighbours
KW - shale gas
KW - software system
UR - http://www.scopus.com/inward/record.url?scp=84992643580&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84992643580&partnerID=8YFLogxK
U2 - 10.1117/12.2248629
DO - 10.1117/12.2248629
M3 - Conference contribution
AN - SCOPUS:84992643580
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2016
A2 - Romaniuk, Ryszard S.
PB - SPIE
T2 - Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2016
Y2 - 29 May 2016 through 6 June 2016
ER -