Study on the eruption evolution pattern of volcanic structures based on multi-attribute fusion
The conventional sandstone reservoir in Bozhong 34-9 tectonic area runs through the volcanic structure,with the reservoir layers superimposed and successively distributed,resulting in the rapid change in lithofacies,significant variations in physical properties and the overlapping of igneous rocks from different periods.The neural network technology is used to effectively describe and predict the structural data of different lithologies in this area based on the comprehensive use of volcanic core,thin section,well logging and seismic fusion.Research was conducted on the development characteristics of Cenozoic igneous rocks and the spatio-temporal evolution patterns of volcanic structures,clarifying the range of volcanic activity during multi-lithofacies sedimentation periods and establishing identification templates for different volcanic facies.The study shows that the igneous facies developed in Bozhong 34-9 tectonic area can be divided into volcanic channel facies,overflow facies,explosive facies,subvolcanic facies and volcanic deposits.Five periods of compound volcanic eruption activities were developed,each containing several single volcanic cycle phase sequences.The implementation of 78 development wells indicates that targeted evaluation and optimization of well location can effectively avoid encountering igneous rocks and improve drilling rate of sandstone reservoirs.The research findings can provide reference for the exploration and development experience of similar oil fields in Bohai and even those at home and abroad.
Bohai Bay BasinSandstone reservoirNeural networkExploration and developmentVolcanic eruptionVolcanic structure
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