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大民屯凹陷元古界分布与储层预测方法
引用本文:郭彦民,李晓光,顾国忠,张瑞斌.大民屯凹陷元古界分布与储层预测方法[J].特种油气藏,2007,14(2):27-31.
作者姓名:郭彦民  李晓光  顾国忠  张瑞斌
作者单位:中油辽河油田公司,辽宁,盘锦,124010
基金项目:国家重点基础研究发展计划(973计划)
摘    要:大民屯凹陷元古界白云岩、石英岩为古潜山最佳储集岩性,因而元古界分布研究在古潜山勘探中占有重要地位。元古界为海相沉积,现今分布主要受印支运动褶曲、抬升、剥蚀作用和燕山运动压扭性左旋断裂活动的影响,是多期构造活动及后期多次改造后残留的地层,主要分布于大民屯凹陷西北部。通过自然伽马能谱测井综合对比,结合岩心资料开展大民屯元古界内幕结构研究表明,大民屯凹陷主要发育大红峪组和高于庄组的18个小层,宏观上为近东西向的紧密向斜结构。元古界岩性识别主要通过放射性测井系列交会的方法,进而通过深浅侧向电阻率和三孔隙度交会及成像测井系列判别有效储层和裂缝发育段;以储层特征重构为基础,通过地质统计、多属性变换和神经网络方法,分别开展伽马和深、浅侧向电阻率多属性测井模拟反演,能够有效地预测元古界的岩性和裂缝发育段的宏观分布。

关 键 词:大民屯凹陷  元古界  古潜山  岩性  裂缝  储层重构  测井多属性模拟反演
文章编号:1006-6535(2007)02-0027-05
收稿时间:2007-01-20
修稿时间:2007-02-06

Proterozoic distribution and reservoir prediction method in Damintun Depression
GUO Yan-min,LI Xiao-guang,GU Guo-zhong,ZHANG Rui-bin.Proterozoic distribution and reservoir prediction method in Damintun Depression[J].Special Oil & Gas Reservoirs,2007,14(2):27-31.
Authors:GUO Yan-min  LI Xiao-guang  GU Guo-zhong  ZHANG Rui-bin
Abstract:Proterozoic dolomite and quartzite in Damintun Depression are best buried hill reservoir rocks, and study of Proterozoic distribution is of significant importance in buried hill exploration. The Proterozoic is marine sedimentation, and present distribution mainly subjects to Indosinian fold, uplift, erosion and Yanshan compresso-left-lateral fault movement. It is the residual formation after multiphase tectonic movement and later reconstruction, and mainly distributes in the northwest of Damintun Depression. Inner structure study of Damintun Proterozoic through correlation of spectral gamma-ray log and core data indicates that there had mainly developed Dahongyu and Gaoyuzhuang formation in the depression, which are divided into 18 subunits, showing as near EW compact syncline structure. Radioactive logging suite has been used to recognize Proterozoic lithology, and effective reservoirs and fractures have been identified by deep and shallow lateral resistivity, tri-porosity crossplot and image logging suite; logging modeling inversions by gamma-ray and deep, shallow lateral resistivity have been conducted to predict macro distribution of Proterozoic lithology and fractures intervals on the basis of reservoir characteristics, geological statistics, multi-attribute transformation and neural network.
Keywords:Damintun Depression  Proterozoic  buried hill  lithology  fracture  reservoir rebuild  logging multi-attribute modeling inversion
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