Register      Login
ASEG Extended Abstracts ASEG Extended Abstracts Society
ASEG Extended Abstracts
RESEARCH ARTICLE

Integrated fault interpretation using well data

Leon Dahlhaus, Takeo Aoyama, Konstantin Galybin and Dale Lewis

ASEG Extended Abstracts 2012(1) 1 - 4
Published: 01 April 2012

Abstract

A standard well logging suite, including borehole seismic, sonic and formation imaging data logged in 2011 on the North-West Shelf of Australia, is shown to provide crucial structural interpretation information when processed in an innovative and integrated way. Initial well logging results indicated that the pre-drill seismic interpretation model was not matching the observations. Geological information from wireline borehole resistivity imaging tools confirmed the presence of many fractured/faulted zones in the well and synthetic seismograms showed that there was a problem tying well information to the surface seismic markers. The acquired rig source vertical seismic profile (VSP) established a good time-depth relation as well as a tie with the other log data. Further analysis of the three component VSP data showed significant and anomalous out of plane seismic events resulting in the proposal of a novel fault analysis workflow. A calibrated 2D model was built and a combination of modelling and VSP dip estimation techniques were used to provide solid indications of a major steeply dipping fault cutting the wellbore. Sonic and borehole imaging data were subsequently analysed providing further support for this interpretation. By combining the processing results of various petrotechnical domains, a coherent and integrated fault interpretation was obtained that significantly altered the initial perception regarding a major fault position and its well intersection. A new 3D interpretation effort is now being undertaken as a result of these new findings. This project demonstrates the value of integration of data processing and interpretation.

https://doi.org/10.1071/ASEG2012ab282

© ASEG 2012

PDF (1 MB) Export Citation

Share

Share on Facebook Share on Twitter Share on LinkedIn Share via Email