Study On Evaluation Of Logging Interpretation Of Carbonate Reservoir

The study area is a typical carbonate reservoir,which is characterized by rich oil and gas resources,complex pore structure and strong reservoir heterogeneity.It is of great practical and theory meaning to carry out logging interpretation evaluation studies.Under the guidance of petroleum geology and logging interpretation theory,the paper makes full use of core test and logging data,and takes the mainstream techlog software as a tool to carry out the research work of carbonate logging interpretation and evaluation.By holding the geological reservoir characteristics of the study area,I used core data and core analysis test data to confirm the type of the reservoir first and then chose the appropriate method to complete porosity and permeability logging interpretation.In the process of water saturation attribute interpretation,the reservoir physical parameters are used to complete the pre classification of the reservoir.Depending on this classification,the water saturation of the reservoir is calculated by Archie formula and J-function method respectively.According to the interpreted reservoir physical parameters,using logging interpretation software witch have supervised and unsupervised learning methods to classify the reservoir,and confirming which interpretation scheme suitable for work area.By carrying out the above research,we have obtained the following achievements and knowledge on Carbonate reservoir logging interpretation:1.We have calculated the porosity curve by density curve and empirical formula fitted with core test data of work area.2.We have calculated the permeability curve by porosity curve and empirical formula fitted with core test data of work area.3.Based on classification of reservoir physical properties we use J-function and Archie formula to calculate two kinds of water saturation curve and ensure that the former is fit to the actual situation of work area.4.Depending on the porosity curve,saturation curve and permeability curve we have classified the reservoir by supervised and unsupervised algorithms provided by software.5.Applying reservoir physical property classification scheme to capillary pressure curve classification we can fit accurate J function and obtain accurate water saturation calculation results.