It is well known that the coherence attribute computed from seismic data is a powerful tool for imaging discontinuities, including faults and fractures. Despite this, analysis of coherence data is rarely integrated in interpretation workflows. Interpreters continue to pick faults on reflectivity data and, at best, use coherence data to verify their work. This paper presents a new approach to fault and fracture interpretation, FaultMagic®, based on the analysis of coherence and integration of borehole data. It allows the interpreter to produce detailed and highly accurate fault and fracture maps using a data-driven approach. Interpreter bias is removed, and the speed and efficiency of mapping is greatly increased.
Fault And Fracture Prediction From Coherence Data Analysis. A Case Study: The Magnus Field,UKCS
Ashbridge, John, Pryce, Carl, Coutel, Fabien, and Mike Welch. "Fault And Fracture Prediction From Coherence Data Analysis. A Case Study: The Magnus Field,UKCS." Paper presented at the 2000 SEG Annual Meeting, Calgary, Alberta, August 2000.
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