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...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.展开更多
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...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。展开更多
文摘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.
文摘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。