title: Automated interpretation of nuclear and electrical well loggings for basalt characterization (case study from southern Syria).
abstract: Nuclear well logging, including natural gamma ray, density and neutron-porosity techniques are used with electrical well logging of long and short normal techniques in order to characterize the large extended basaltic areas in southern Syria. Four kinds of basalt have been identified: hard massive basalt, hard basalt, pyroclastic basalt and the alteration basalt products, clay, based on a statistical analysis approach with the threshold concept. The statistical conditions for such basalt characterization have been programmed in the present research to automatically interpret the well logging data for establishing and predicting the lithological cross-section of the studied well. A specific computer program has been written in Delphi for such purposes. The program is flexible and it can be used for other well logging applications by changing the statistical conditions and the well logging parameters. The program has been successfully tested on the Kodanah well logging data in southern Syria.
authors.affiliation: Atomic Energy Commission, Damascus, Syria. cscientific2@aec.org.sy
authors.forename: J
authors.initials: J
authors.lastname: Asfahani
authors.forename: B
authors.initials: B
authors.lastname: Abdul Ghani