Detailed Structural Mapping and Correlation of a Thick Syn-Rift Sequence in the Kerpini Fault Block, Greece.
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Roghi Mountain is a thick unit of alleged syn-rift deposits (Ford et al., 2013) located within the Kerpini Fault Block of the northern part of the Peloponnese Peninsula in Greece. The fault block bounding faults were formed in the early stages of the Corinth Rift which is presently active (Ford et al., 2013). Previous work in the region has not fully described the somewhat unusual features observed in the sedimentary succession of Roghi Mountain, nor the structural evolution of these sediments. These features include; the lack of evidence for growth strata, which is expected for a thick syn-rift sequence; a major change in the bed characteristics of the outcrops on the eastern side of Roghi Mountain compared to the beds on the western side; and distinct bed terminations within the sedimentary sequence which has been interpreted as evidence for faulting (Dahman, 2015; Syahrul, 2014). With the use of advanced field mapping methods such as Light Detection and Ranging (LiDAR) scanning as well as traditional field mapping, the objectives of this project was to interpret, correlate and model the various units of Roghi Mountain. A workflow was generated in Petrel E&P (geological interpretation software from Schlumberger) to interpret LiDAR data and a 3D structural model of Roghi Mountain was generated. With the field observations and the Petrel E&P workflow, five depositional sequences have been identified in the sedimentary succession of Roghi Mountain, the beds of the eastern and western profiles have been correlated and a six stage structural evolution has been described for Roghi Mountain. With these results, an increased understanding of the Kerpini Fault Block has been achieved along with improved knowledge of syn-rift structure and development in general. In addition, a workflow of interpretation and modelling based on LiDAR data in Petrel E&P has been described trough this project.
Master's thesis in Petroleum Geosciences Engineering