E3S Web Conf.
Volume 329, 20214th International Conference on Green Energy and Sustainable Development (GESD 2021)
|Number of page(s)||5|
|Published online||09 December 2021|
Study of seismic attributes recognition method of high quality igneous rock reservoir
1 Exploration and Development Research Institute of Daqing Oilfield Co., Ltd., 163712 Daqing Heilongjiang, China
2 Key Laboratory of tight oil and shale oil accumulation of Heilongjiang province, 163712 Daqing Heilongjiang, China
3 BGP, 052751 Zhuozhou Hebei, China
* Corresponding author: firstname.lastname@example.org
Aimed target area is deeply buried, complex lithology, dual media, reservoir development degree is controlled by a variety of factors, meanwhile, lateral thickness and lithofacies change rapidly, and strata formation is poor. Therefore, igneous rock reservoir has difficulty in predicting, since seismic is complicated to track trace, reservoir attribute analysis is hard to determine the time window, and inversion modeling requires sophisticated. By analyzing, the basalt in the target research area accounts for the principal component of the igneous rock, however, the igneous rocks with relatively developed reservoirs are mostly distributed in the trachyte breccia which has good productivity. The results of petrophysical study indicate that frequency-dependent AVO inversion method is an important means to identify fluid and reservoir prediction, notwithstanding it is difficult to distinguish high-quality reservoirs barely by P-wave impedance. Consequently, AVOF inversion method is appropriately proposed to identify igneous rock reservoir. Foremost, eliminating the effects of algorithm,frequency, spectrum balancing and other factors, then put the improved three-term Aki&Richards frequency-dependent AVO inversion method applying to distinguish igneous reservoir fluid and lithology, for the purpose of carrying out the identification of high-quality reservoirs.
© The Authors, published by EDP Sciences, 2021
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