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页岩油资源评价指标与方法--以松辽盆地北部青山口组页岩油为例 被引量:20

Parameters and method for shale oil assessment:Taking Qinshankou Formation shale oil of Northern Songliao Basin
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摘要 基于我国页岩油勘探开发现状,结合页岩油气资源调查评价及有利区优选的相关工作要求,研究泥页岩中滞留烃丰度的影响因素,提出页岩油资源评价指标及方法。研究结果表明:在统计分析松辽盆地青山口组一段泥页岩相关参数基础上,氯仿沥青质量分数w A不但与ws1(即热解中自由烃质量比)具有正相关关系,而且成分更接近原油,其值同时受泥页岩有机质丰度和成熟度的影响,并可以由此建立定量计算模型,w A是页岩油资源评价的重要参数。根据生烃动力学原理和本区残留烃量随成熟演化的趋势可知:页岩油富集有利区的残烃量下限为0.35%,并通过蒙特卡洛法可获得计算松辽盆地北部青一段页岩油有效资源量为96.41×108 t。 Based on the status of shale oil exploration and development in China, and related work of shale oil and gas resource evaluation and favorable area optimization, the factors affecting the abundance of residual hydrocarbon in shale were studied, and the index and method for shale oil assessment were put forward. The results show that based on statistical analysis of shale parameters of Qingshankou Formation of Songliao Basin, mass fraction w A of chloroform bitumen not only has a positive correlation with ws1, i.e the mass ratio of hydrocarbon to rock, and its composition is closer to that of crude oil influenced by shale organic matter abundance and maturity. A quantitative calculation model can be established, and chloroform bitumen w A is the important parameter for shale oil resources evaluation. Through the hydrocarbon generation kinetics theory, combined with the quantity of residual hydrocarbon with mature trend, the lower limit of shale oil enriching area of northern Songliao Basin is 0.35%, and shale oil resources of first member volume of Qingshankou Formation calculated by Monte Carlo method is 96.41×10^8 t.
出处 《中南大学学报(自然科学版)》 EI CAS CSCD 北大核心 2014年第11期3846-3852,共7页 Journal of Central South University:Science and Technology
基金 国家青年自然科学基金资助项目(41202101) 中国博士后科学基金面上资助项目(2013M541338) 国土资源部全国油气资源战略选区调查与评价专项(2009GYXQ15) 黑龙江省教育厅科学技术研究项目(12541084)(Project(41202101)~~
关键词 页岩油 资源评价方法 蒙特卡洛法 资源量 有利区 shale oil method for assessment Monte Carlo method resources volume favorable area
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