Study on quantitative evaluation of reservoir sorting and permeability using Micro-electric imaging logging data
The reservoir sorting coefficient is an essential parameter for evaluating clastic sediment sorting,and the grain size and distribution characteristics of formation particles are the basis for calculating the sorting coefficient.The grain size of sediments is usually obtained by using core samples in the laboratory.When the resolution of the electro-imaging logging data is high enough,the resistivity value has a specific relative relationship with the particle size.Then the resistivity frequency dis-tribution curve can represent the overall trend distribution of rock particle size.Through the resistivity frequency distribution curve,The relative relation of the resistivity values corresponding to the frequencies accumulated to 25%,50%,and 75%on the resistivity frequency distribution curve was calculated to judge the sorting property of the reservoir,and a formula was es-tablished to calculate the"sorting coefficient"of the reservoir.According to the"separation coefficient",the reservoir is divid-ed into three kinds of rock physical phases and the permeability evaluation model is established.In the actual treatment of the LD well in Bohai oilfield,the calculated"separation coefficient"is in good agreement with the separation coefficient measured in a core laboratory,which verifies the reliability and correctness of the method.The permeability model based on the constraint of the rock physical phase is established,improving the permeability calculation accuracy and providing more reliable physical parameters for geological reservoir evaluation.
万方数据
维普
