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[1]纪杰,吴孔友,郭文建,等.玛东斜坡砂砾岩油藏储层底板识别与预测——以达13井区为例[J].断块油气田,2020,27(01):60-64.[doi:10.6056/dkyqt202001012]
 JI Jie,WU Kongyou,GUO Wenjian,et al.Recognition and prediction of conglomerate reservoir floor in Madong slope: a case study of Da 13 well area[J].Fault-Block Oil and Gas Field,2020,27(01):60-64.[doi:10.6056/dkyqt202001012]
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玛东斜坡砂砾岩油藏储层底板识别与预测——以达13井区为例(PDF)
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《断块油气田》[ISSN:1005-8907/CN:41-1219/TE]

卷:
27
期数:
2020年01
页码:
60-64
栏目:
默认栏目
出版日期:
2020-01-25

文章信息/Info

Title:
Recognition and prediction of conglomerate reservoir floor in Madong slope: a case study of Da 13 well area
作者:
纪杰1吴孔友1郭文建2吴俊2
1.中国石油大学(华东)地球科学与技术学院,山东 青岛 266580;2.中国石油新疆油田分公司勘探开发研究院,新疆 克拉玛依 834000
Author(s):
JI Jie1 WU Kongyou1 GUO Wenjian2 WU Jun2
1.School of Geosciences, China University of Petroleum, Qingdao 266580, China; 2.Research Institute of Exploration and Development, Xinjiang Oilfield Company, PetroChina, Karamay 834000, China
关键词:
底板定量表征分频滤波密度相对变化率反演底板预测
Keywords:
quantitative characterization of floor frequency division filtering inversion of density relative change rate floor prediction
分类号:
-
DOI:
10.6056/dkyqt202001012
文献标志码:
A
摘要:
在了解玛东斜坡砂砾岩油藏圈闭特征的基础上,针对其储层底板测井响应特征差异大、识别标准不统一、底板质量评价困难的难题,采用测井、地震相结合的方法,进行了储层底板识别。通过开展测井资料电性特征分析,确立了该区储层底板测井响应参数特征,采用底板质量评价因子定量表征了储层底板质量,建立了底板质量分类评价标准;通过优选研究区储层底板地震响应特征频率,运用分频滤波预测底板发育区范围,然后对预测范围内的底板展布进行测井约束下的密度相对变化率反演,实现了储层底板平面展布的定量分类评价。
Abstract:
Based on the trap characteristics of Madong glutenite reservoir, aiming at the difficult problems of different logging response characteristics, different identification criteria and difficult evaluation of floor quality in Madong glutenite reservoir, this paper puts forward a logging-seismic method, which integrates logging and seismic techniques to identify reservoir floor, the characteristics of logging response parameters of reservoir floor in this area are established, the evaluation factor Qf of floor quality is proposed, and the evaluation criteria of floor quality classification are established. By optimizing the characteristic frequency of the seismic response of the reservoir floor in the study area and using the frequency division filter to predict the development area of the floor, and then inversion of the relative change rate of density under the restriction of logging for the floor distribution within the prediction area, the quantitative classification evaluation of the plane distribution of the reservoir floor is realized.

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更新日期/Last Update: 2020-02-06