惠民凹陷临北地区基山砂体油气成藏主控因素研究

Journal of Liaoning Shihua University（2021）

Cited 2|Views18

Abstract

临北地区位于惠民凹陷中央隆起带中部,针对该区沙三中亚段基山砂体的储层类型、圈闭规模及储层有效性不清等问题,从烃源条件、储层物性、沉积相展布以及构造特征等方面入手,通过钻井和试油成果资料,综合应用地质、地化分析和地球物理研究手段,剖析了油气成藏条件及主控因素.结果表明,紧邻的临南洼陷沙三段优质烃源岩是临北基山砂体的主要来源,和区内各期砂体在时空上的良好配置是油气藏形成的基础;区内发育的断裂和骨架砂体输导体系之间的相互配置关系,为油气提供良好的运移通道,使油气藏沿南北向成断阶式带状分布;沙三上亚段的泥岩及基山砂体顶部稳定的厚层泥岩、各期次砂体之间被泥岩分隔,且东西向上倾尖灭、沙三段发育封闭性较好的高矿化度原生CaCl2水型,同时部分断层侧向封堵,这些因素的共同作用为油气藏提供良好的保存条件.

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Pretraining has recently greatly promoted the development of natural language processing (NLP)
We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance

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