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作 者:马跃华[1] 周宗良[2] 李振永 曹国明[2] 吴丽颖[1] 张会卿[2] MA Yuehua;ZHOU Zongliang;LI Zhenyong;CAO Guoming;WU Liying;ZHANG Huiqing(Dagang Branch of Research Institute of BGP,CNPC,Tianjin 300280,China;Research Institute of Exploration and Development,Dagang Oilfield Company Ltd.,PetroChina,Tianjin 300280,China)
机构地区:[1]中国石油天然气集团公司东方地球物理勘探责任公司研究院大港分院,天津300280 [2]中国石油天然气股份有限公司大港油田公司勘探开发研究院,天津300280
出 处:《石油物探》2018年第6期902-913,共12页Geophysical Prospecting For Petroleum
基 金:中国石油天然气股份公司科技研究与技术开发项目"大港油区效益增储稳产关键技术研究与应用"(2018E-11)资助~~
摘 要:薄层研究不应过于强调单一地层的厚度,而应关注地层的组合形式。重新定义了薄层,并从地质学和地球物理学角度分别对薄层进行分类,初步建立了多维度薄层分类标准。基于新的分类标准,研究调谐效应,并根据调谐响应的不同特征,将调谐分为3类:TPⅠ、TPⅡ和TPⅢ。实例1研究了中、浅层欠压实情况下,地质学中泥包砂型薄层对应于地球物理学中高包低(低阻抗地层介于高阻抗地层之间)型薄层,利用沉积微相与响应频率之间的关系(microfacies versus frequency,MVF)研究该类型薄层的沉积微相,分别预测了边滩、分支河道、泛滥平原等。实例2讨论了两套正旋回、油气同出、反射特征差异明显的薄层类型,针对地质特征相似,地震响应差别较大的薄层,依次进行了岩石物理分析、数值正演模拟、高压物性分析和气油比分析等研究,预测了凝析气藏和轻质油藏的分布范围。Thin layer research should focus on composition form,rather than the thickness of a single layer.In this study,a thin layer is redefined and classified from the standpoint of both geology and geophysics to establish a multi-dimensional classification standard.Based on the proposed classification,the tuning effect was classified into three types(i.e.,TPⅠ,TPⅡand TPⅢ).In the first case from Dagang oilfield in China,with regard to the undercompacted beds,a geological thin layer structure with the characteristic of“sand encased by shale”corresponded to a geophysical characteristic of“low-impedance layer distributing between high-impedance layers”.The relationship between sedimentary microfacies and response frequency was used to predict the sedimentary microfacies of the thin layers,including point bar,branch channel and flood plain.In the second case,two sets of geological thin layers with“positive cycles”were studied;both had co-production of oil and gas,but one layer exhibited weak seismic reflection response whereas the other had a strong response.For thin layers with similar geological characteristics and different seismic response,methods such as rock physics analysis,numerical forward modeling,high-pressure physical property analysis,and gas-oil ratio analysis were employed to predict the distribution ranges of both condensate gas reservoirs and light oil reservoirs.
分 类 号:P631[天文地球—地质矿产勘探]
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