%0 Journal Article
%T 浅水三角洲动态生长过程模型与有利砂体分布—以鄱阳湖赣江三角洲为例<br>Sedimentary Processes, Depositional Model and Sandbody Prediction of Lacustrine Shallow Water Delta: A Case Study of Ganjiang River Delta in Poyang Lake
%A 高志勇
%A 
%A 周川闽
%A 
%A 董文彤
%A 白斌
%A 李雯&lt
%A br&gt
%A GAO Zhi-yong
%A ZHOU Chuan-min
%A DONG Wen-tong
%A BAI Bin
%A 
%A LI Wen
%J 现代地质
%D 2016
%X 摘要： 浅水三角洲是湖盆内大面积砂体分布的重要成因，但大面积砂体的非均质性较强，预测并寻找有利砂体(甜点)是现今油气勘探的重要需求。通过开展现代赣江三角洲上平原-下平原及河口区多个沉积部位探坑挖掘工作，对探坑中沉积物岩性与沉积相序进行了描述、取样以及沉积特征对比，并且对顺直河道中心的沉积物样品进行了采集与分析化验后，认为浅水三角洲上平原河道内沙洲的洲头与洲尾、堤岸近河端，下平原上游、下游的堤岸近河端，入湖河口区的水下分流河道、纵向坝、横向坝是有利砂体的发育区及有利砂体类型。由于赣江浅水三角洲的河道主要为顺直型，正韵律的分流河道砂体不发育，赣江浅水三角洲垂向上具有早期湖泊相泥-反韵律河口沙坝-下平原与上平原堤岸相沙泥质互层的沉积演化特征。结合鄱阳湖枯水期与洪水期的水文地质特征，建立了赣江浅水三角洲的动态生长过程模型，其动态成因演化过程可分为先期枯水期湖泊沉积，湖平面上升至最大洪泛期和再次枯水期三角洲进积等3阶段。该模型既为浅水三角洲沉积由静态描述向动态过程演化研究奠定了基础，又为湖盆内大面积砂体中甜点预测提供了有益参考。<br>Abstract: In order to enhance accuracy of hydrocarbon reservoir prediction in shallow water lacustrine deltaic depositional system, we put forward a new and more comprehensive depositional model based on the deposits of the Ganjiang River Delta in Poyang Lake. Using cores, sketch logs, trenches and laboratory analyses, we described these deposits. Several basic attributes have been recognized for shallow water delta, including: (1) The sand body is comprised of architectural elements including channel bars and levee in both of upper and lower delta plains, and longitude bars, transverse bars in river moth areas, especially unit bars in bar head areas. (2) Normal grading is absent in channel fill sediment in straight channel reach. (3) Facies sequence of floodplain sediment is mainly composed of interbedded mudsand deposited in flood stage on top, typical with lacustrine mud overlain by reverse-grading upward distributary mouth bars at lower part. (4) The delta formation process is mainly influenced by the climate cycles or flooding events. At low-flow stages mud is deposited in delta front. At high stages, older sediment is reworked, and the interbedded sand-mud is deposited in delta plain. This depositional model quality represents the evolution process of shallow water lacustrine delta, and it would help to identify reservoir sweet spot in subsurface extensive sand body of these kinds of depositional systems
%K 浅水三角洲
%K 生长过程模型
%K 砂体预测
%K 鄱阳湖
%K 沉积演化
%K shallow water delta
%K depositional model
%K sandbody prediction
%K Poyang Lake
%K sedimentary process
%U http://www.geoscience.net.cn/CN/abstract/abstract13788.shtml