탄성파 자료처리 프로그램 pygbt 개발
Developement of Seismic Data Processing Tool, pygbt
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초록
Seismic data processing software for petroleum exploration usually has commercialized license and is expensive. Though there is the presence of open source software, it is hard for general users to use it since it needs specialized knowledge due to developer-oriented standards. Here, pygbt which is a script-oriented and user-oriented seismic data processing software based on Geobit software, is developed. This is based on Python-2.7.5 and PyQt4. The pygbt consists of the script file editor and the XSV, XSED, and XVA modules. The script file editor makes Geobit job files that have processing parameters. The XSV module plots seismic data, the XSED module shows the attributes of seismic data in graphic mode, and the XVA module serves as a velocity analysis tool. For the performance test of the pybdt, marine seismic field data are applied. Through the parameter analysis of each module, a proper procedure for seismic reflection data in the continental shelf is suggested. The flow of processing data includes amplitude correction, deconvolution, bandpass filtering, CMP sorting, velocity analysis, NMO correction, and stack.
Abstract
Seismic data processing software for petroleum exploration usually has commercialized license and is expensive. Though there is the presence of open source software, it is hard for general users to use it since it needs specialized knowledge due to developer-oriented standards. Here, pygbt which is a script-oriented and user-oriented seismic data processing software based on Geobit software, is developed. This is based on Python-2.7.5 and PyQt4. The pygbt consists of the script file editor and the XSV, XSED, and XVA modules. The script file editor makes Geobit job files that have processing parameters. The XSV module plots seismic data, the XSED module shows the attributes of seismic data in graphic mode, and the XVA module serves as a velocity analysis tool. For the performance test of the pybdt, marine seismic field data are applied. Through the parameter analysis of each module, a proper procedure for seismic reflection data in the continental shelf is suggested. The flow of processing data includes amplitude correction, deconvolution, bandpass filtering, CMP sorting, velocity analysis, NMO correction, and stack.
참고문헌 (16)
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