3D geo-cellular static virtual outcrop model and its implications for reservoir petro-physical characteristics and heterogeneities

Geostatistical data plays a vibrant role for surface-based reservoir modeling through outcrop analogues,which is used to understand three-dimensional(3D)variability of petrophysical properties.The main purpose of this study is to improvise the surface-based 3D geo-modeling to demonstrate petrophysical characteristics and heterogeneities of Sandakan reservoirs,NW Borneo.We used point cloud data from Light Detection and Ranging(Li DAR)to build high-resolution virtual outcrop modeling(VOM)onto which we mapped 6 different lithofacies.Porosity and permeability of core plugs were measured to determine the average variance of petrophysical properties for each lithofacies.By utilizing the integration of VOMs analogues and petrophysical properties in Petrel^(TM),we demonstrated the distribution and associations of all lithofacies in pseudo wells that have inherent thin beds heterogeneities in 3D geocellular model.The results concluded that the heterogeneity of thin beds in lithofacies is dependent on porosity and permeability with input dataset.According to the final model,cross-bedding sandstone(CBS),hummocky cross-stratified sandstone(HCSS)and trough cross-bedding sandstone(TCBS)show good reservoir quality due to high porosity ranging from:25.6%to 20.4%and,19.3%-14.5%,and permeability ranging from:74.03 mD to 66.84 mD and,64.86 mD to 21.01 mD.In contrast,massive to weak laminae sandstone(MWLS)and bioturbated sandstone(BS)show fair to poor reservoir quality,caused baffling of surrounding mud sediments in the reservoir lithofacies.Results also revealed that Li DAR based VOM with petrophysical properties can significantly reduce the risk and minimize the cost of reservoir modeling in petroleum industry.

城市扩张经典CA模型模拟精度的时空衰减效应——以广州市2000-2010年城市扩张为例

城市快速增长是我国当前城市化过程的典型特征,而利用地理模拟工具预测未来城市空间形态有助于城市规划政策制定。元胞自动机(CA)是一种模拟城市扩张的有效建模工具,但由于城市是一个自然人文复合系统,仅根据地理学第一定律构建的CA模型模拟精度存在时空衰减效应。研究以广州市2000-2010年的城市扩张为案例,通过对经典CA模拟结果时间和空间两个维度的精度分析,探讨了经典CA模型模拟精度的时空衰减规律。

元胞自动机在模拟土壤侵蚀时空演化过程中的应用

土壤侵蚀作为一个全球性的环境问题已经越来越受到人们的广泛关注。动态模拟和预测土壤侵蚀的发育及演化过程具有十分重要的意义。元胞自动机(C e llu lar A u tom ata简称CA)是一种“自下而上”的动态模拟建模框架,具有模拟地理复杂系统时空演化过程的能力。从元胞自动机的概念和原理入手,介绍了CA模型的特征及其在土壤侵蚀学科中的应用情况和存在问题,对CA模型应用于土壤侵蚀过程的模拟、预测的可行性和可操作性进行了探讨。

地理元胞自动机模型的尺度敏感性及原因

地理元胞自动机模型的模拟精度会受到元胞尺度的影响。以杭州市土地利用变化模拟为例,分析了元胞尺度分别为50m×50m、100m×100m、150m×150m和200m×200m时地理元胞自动机模型的模拟精度,对地理元胞自动机模型的尺度敏感性进行了分析;并从元胞转换规则入手,研究了元胞自动机模型尺度敏感性产生的原因:(1)元胞尺度会对地理元胞自动机模型的模拟精度产生影响,元胞尺度越精细模拟精度越高;(2)元胞自动机模型的尺度敏感性与元胞尺度相关,在有些尺度区间上表现得明显,而在有些尺度区间上表现并不明显;(3)孤立元胞是元胞自动机模型尺度敏感性产生的主要原因。研究表明,随着元胞尺度的增大,元胞空间的孤立元胞增多,这些孤立元胞本身及其周围元胞具有较低的邻域函数值和较小的转换概率值,并影响了地理元胞自动机模型的模拟精度。