摘要
裂缝是低渗透储层的重要储集空间和渗透率的主要贡献者。有关冲积扇砾岩储层中裂缝特征及分布规律预测的研究很少。通过露头、岩心及测井资料分析，研究了小拐油田夏子街组的裂缝特征和控制因素。在区域构造背景相同的情况下，裂缝的发育程度受岩性的严格控制。在细砾岩及砂岩中裂缝最发育、裂缝规模小，密度大；而在中细砾岩及泥岩中裂缝则不发育。裂缝发育程度与地层层速度有密切的关系。通过测井、钻井及地质资料建立裂缝的定量表征模型，借助于地震反演方法及集成化定量储层地质建模新技术，综合使用地质、测井及地震资料，高精度地预测裂缝的发育程度，为进一步开发提供可靠的依据。
Fracture can be important reserving space and the main contributor to permeability in reservoirs. However, there are few researches focus on the fracture characteristics and distribution rules of alluvial fan conglomerate reservoirs. This paper provides an example of such reservoir of Xiazijie formation, Xiao Gnat Oilfield, whereas the study is based on outcrops,cores and well- logging data. Study indicates that the fracturing degree is firmly controlled by lithology while the regional tectonic background is the same. Fractures in fine conglomerates and sandstone are well developed with minor scale and high density, where in coarser conglomerates those fractures are characterized by large scale and low density, and in mudstone very few fractures are devel- oped. There is a close relationship between fracturing degree and interval velocity, and this perests us to establish a quantitative forecasting model for fracturing degree by integrating outcrops, well-logging and core data. This model is used to predict frac- ture distribution based on seismic data and well-logging with seismic inversion and quantitative reservoir modeling techniques. The result of the fracture distribution can be used for further hydrocarbon development.
出处
《石油学报》
EI
CAS
CSCD
北大核心
2000年第6期117-121,共5页
Acta Petrolei Sinica
基金
中国石油天然气集团公司科技攻关项目
国家"973"项目!"大幅度提高石油采收率的基础研究"之"油藏精细地质模型研究" (G1
关键词
冲积扇
定量预测
砾岩油藏
裂缝预测
fracture
alluvial fan
quantitative prediction
conglomerate reservoir
