高邮凹陷T顶面坡度分布与地形关系研究

The Relationship Between Topography and Distribution of Slope in T Top Surface of Gaoyou Sag

汤军 段宇英 段宏亮 刘丹 朱枫帆

TANGJun DUANYuying DUANHongliang LIUDan ZHUFengfan

长江大学地球科学学院, 湖北 武汉 430100 中国石化江苏油田分公司勘探开发研究院, 江苏 扬州 225000

School of Geosciences, Yangtze University, Wuhan, Hubei 430100, China Exploration and Development Research Institute of Jiangsu Oilfield Company, SINOPEC, Yangzhou, Jiangsu 225000, China

目前油气区解析地质层面的主要方法是GIS三维建模，以坡度分析的方法解析地质层面的研究还比较少。研究通过均值变点分析、面积高程积分等方法提取深度变化与面积高程积分（Hypsometric Integral，HI）两个坡度统计指标。采用17×17像元的窗口对高邮凹陷T顶面的所选指标进行统计与制图，分析其空间展布与地形的关系。研究表明，该顶面深度指标的变化幅度由西北往东南逐渐增大，西北地区深度变化的最大值为700 m，东南部则为2 198 m，说明T顶面东南部的地形较西北复杂。HI指标的均值为0.50，说明T顶面处于地下水侵蚀地形发育的壮年期；HI的空间展布表明，深度较大，地形较复杂的东南部基本处于侵蚀地形发育的老年期，深度及地形复杂度由高到低过渡的地带处于壮年期，深度较小的地区处于幼年期，主要表现为强烈地水系扩展分支。

At present, the main GIS technique for geological structure analysis in oil field is three-dimensional modeling, but few methods of slope analysis for geological structure analysis. Two slope statistical indexes are extracted by means of mean variable point analysis and area elevation integral:Hypsometric Integral (HI) and depth range. The 17×17 (pixel) window is used to make statistics and mapping, and the relationship between spatial distribution and topography is analyzed. The results of research show that the depth variation amplitude of T top surface increases gradually from the northwest to the southeast. The biggest value of depth variation is 700 m in the northwest and 2 198 m in the southeast, which indicates the topography of T top surface in southeast is more complex than that in northwest. The mean of HI is 0.5, indicating the top surface of T top surface is in the prime of the development of groundwater erosion topography. The spatial distribution of HI indicates the southeast with larger depth and more complex terrain is basically in the aging stage of erosion terrain development. The transitional zone of depth and terrain complexity from high to low is in the prime. Areas of less depth are in their infancy and are characterized by strong drainage branching.

10.11885/j.issn.1674-5086.2020.05.22.02