Application of Non-repeated Time-Lapse Seismic Technology in the XJ Oilfield, South China Sea

Yun-feng Gao,Guang-yi Hu,Ting-en Fan, Jing Le, Zhen-yu Zhu, Hong-jun Fan

Springer Series in Geomechanics and GeoengineeringProceedings of the International Field Exploration and Development Conference 2019(2020)

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Abstract
It is more difficult but significant to get effective seismic attributes for remaining oil prediction from non-repeated time-lapse seismic data. As a case from the XJ oilfield (first oil in 1997), South China Sea, non-repeated time-lapse seismic data were acquired in 2003 and 2013. Based on these seismic data, key technology of non-repeated time-lapse seismic were illuminated in this paper, for example, feasibility studying method, acquisition designing and matching processing technology, interpreted method for time-lapse seismic without data acquired before the first oil. According to analysis results of 10 new wells, prediction accuracy rate of non-repeated time-lapse seismic was 85% in the XJ oilfield. It is valuable to develop the potential of seismic big data and support oilfield production more effectively, with the study and application of non-repeated time-lapse seismic technology, such as target acquisition, matching processing, and comprehensive interpretation with static-dynamic reservoir data.
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Key words
Time-lapse seismic, Non-repeated acquisition, Matching processing, Remaining oil, South China Sea
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