Quality Objectives
Client Participation
Quality Team
Field Testing
Data Quality Control, Infield and Interim Data Processing
Quality Objectives: McPHAR maintains the highest quality in the data sets that it provides to its Clients.
Client Participation: It is understood that the Client’s personnel may be involved in the QC, Processing and Interpretation phases of the survey.
Quality Team: McPHAR insures Quality Control by using a team concept. The instrumentation on board the survey aircraft facilitates basic quality control procedures. The team concept is continued at the Survey Base where a McPHAR geophysicist undertakes a more comprehensive QC analysis of the data, and performs preliminary data processing. The data are then given a second, and more complete review, wherein all the systems on board the aircraft are tested for compliance to the survey’s specifications. Any problematic or unacceptable data is identified and flagged for re-flying by the survey crew. On a daily basis, this preliminary processed data is sent to McPhar’s data processing centre via satellite broadband internet, where other Geophysicists further QC the data and perform preliminary data processing.
Field Testing: All instrumentation is completely tested and calibrated prior to the beginning of the survey. As noted above, the daily transfer of data to the data processing centre allows McPHAR to keep a close watch on the integrity of each system on board the aircraft.
Data Quality Control, Infield and Interim Data Processing: Data Quality Control (QC) and the interim data processing of the airborne geophysical data is performed in the field at the survey bases using fully automated techniques, Geosoft MONTAJ airborne QC and data processing software and PC computers. All data is verified upon receipt, and checked against the flight logs. The pre-processing or infield processing sequence includes the following quality control measures:
In addition to the infield processing and quality control, the processing centre receives from the field operations on a regular basis the following data sets:
Quality Objectives
Client Participation
Quality Team
Field Testing
Data Quality Control, Infield and Interim Data Processing