Structural validation as an input into seismic depth conversion to decrease assigned structural uncertainty

This study is based on PhD research project funded by INPEX CORPORATION at University of Aberdeen. Seismic images for this study were taken from the Higgins et al. (2009), through the courtesy of CGG (formerly CGG Veritas). Further examples are available through the Virtual Seismic Atlas (www.seismicatlas.org). Restoration and forward modelling and measurements for the area-depth-strain analysis were performed in Move 2016.1 by Midland Valley made available through academic partnership. Trishear inverse modelling was programmed referring to MATLAB scripts publicized on Allmendinger et al. (2012, chapter 11) and Nester Cardozo's website (http://www.ux.uis.no/∼nestor/work/programs.html) and implemented in MATLAB 2015b. Finally we thank Nester Cardozo and Richard Groshong for valuable comments that significantly improved this contribution.Peer reviewedPostprin

Analyzing structural variations along strike in a deep-water thrust belt

Acknowledgements This study is based on part of PhD research funded by INPEX CORPORATION at University of Aberdeen. We acknowledge Petronas for the release of beautiful images of 3D seismic data along with borehole information. We thank Schlumberger for the academic use of Petrel software. We are truly thankful to Nancye Dawers, Haakon Fossen, Roy Gabrielsen and Steve Laubach for their invaluable and constructive comments that considerably improved the manuscript.Peer reviewedPostprin

Entrained sand generates fault plane reflections on a deep-water thrust zone

This work is part of Ph.D. research supported by INPEX CORPORATION at University of Aberdeen. We thank Conrad Childs, Haakon Fossen, and an anonymous reviewer for their reviews and constructive suggestions. We thank Petronas and INPEX CORPORATION for the provision of seismic and well data to the Ph.D. research, and for permission to publish this work. Schlumberger and Midland Valley are thanked for the academic use of Petrel 2016.1 and Move 2017.2 software.Peer reviewedPostprin

LiDAR, UAV or compass-clinometer? Accuracy, coverage and the effects on structural models

This study was carried out as part of a University of Aberdeen provided PhD supported by The NERC Centre for Doctoral Training in Oil & Gas, (grant reference: NE/M00578X/1). Thanks to Magda Chmielewska for her training and help with LiDAR processing, without which this study could not have been undertaken. Midland Valley Exploration is thanked for academic use of Move 2016 software. We gratefully acknowledge the detailed and constructive reviews by Mike James and an anonymous reviewer, and thanks to Bill Dunne for careful and thorough editorial comments, all of which greatly improved the manuscript.Peer reviewedPublisher PD