Success of high-resolution volumetric Q-tomography in the automatic detection of gas anomalies on offshore Brunei data

Over recent years, many authors have proposed to compensate the absorption loss effects inside of the imaging process through the use of an attenuation model. This is more particularly necessary in the presence of strong attenuations anomalies. Q tomography has been developed for estimating this attenuation model but is generally limited to estimating attenuation in predefined anomalies. In this paper, we show how we managed to reveal automatically shallow gas pockets on the complex offshore Brunei dataset by using a high-resolution volumetric Q tomography. A key component of our approach is the estimation of effective attenuation in the pre-stack data domain through accurate picking of the frequency peak. Finally we used the Q-model to compensate for absorption in the imaging process.